Start Bootstrap Logo

Trends Sci. 2025; 22(12): 11007

Optimization of Solvent Systems and Extraction Techniques for Enhanced Multifunctional Bioactivities of Vernonia Cinerea (L.) Less.: A Comprehensive Study on Antioxidant, Tyrosinase Inhibitory, Antibacterial, and Antidiabetic Enzyme Activities


Napattaorn Buachoon


Faculty of Science and Technology, Valaya Alongkorn Rajabhat University under the Royal Patronage,

Pathum Thani 13180, Thailand


(Corresponding author’s e-mail: [email protected])


Received: 20 June 2025, Revised: 23 July 2025, Accepted: 30 July 2025, Published: 10 September 2025


Abstract

The objective of the study was to identify the suitable condition of solvent and an effective extraction technique for improving the biological activity of the extracts of Vernonia cinerea plant, focusing on free radical scavenging, tyrosinase and inhibition, bacterium inhibition, α-amylase and α-glucosidase inhibition activity. The sample from leaves, flowers, and stems of the plants was extracted with 5 types of solvent in the present study. The efficacy of biological activity was evaluated in terms of total phenolic and flavonoid content, DPPH and FRAP scavenging activity, tyrosinase inhibition activity, bacterium inhibition, agar well diffusion assay, and inhibition of α-amylase and α-glucosidase. The results showed that the MAE method with methanol solvent was the most effective in all tests. The extracts from the leaf exhibited maximum biological activity with the highest TPC and TFC of 195.48 ± 4.18 mg GAE/g extract and 98.07 ± 0.33 mg QE/g extract, respectively, IC50 values for DPPH and FRAP was 45.02 ± 0.13 µg/mL and 169.91 ± 0.51 mg FeSO4/g extract, respectively, IC50 value for tyrosinase inhibition was 18.48 ± 0.19 mg/mL, which was approximate inhibition as kojic acid, bacterial inhibition for Staphylococcus aureus, Bacillus cereus, and Salmonella typhimurium was maximum in 12.19 ± 0.01 mm, 13.03 ± 0.01 mm and 12.03 ± 0.02 mm, against α-amylase and α-glucosidase inhibition was 73.76% and 63.61% which was approximately 96.5% and 93.5% of market acarbose, respectively. The study evidenced that the MAE with methanol is an effective method for extracting multitasking active ingredient from the V. cinerea at once in the future when plants have the highest potential.


Keywords: Vernonia cinerea (L.) Less., Total phenolic content, Antioxidant, Tyrosinase inhibitory, Antibacterial, Anti-α-amylase Activity, Anti-α-glucosidase Activity


Introduction

At present, the incorporation of plant-derived compounds into wellness formulations, beauty preparations, and nutritional products demonstrates a steadily growing trajectory, with particular emphasis on naturally occurring substances exhibiting varied biological functionalities including radical scavenging agents, enzymatic modulators, and pathogen-resistant compounds. These bioactive constituents serve essential functions in chronic disease prevention, aging deceleration, and constitute fundamental elements in


therapeutic cosmetic formulations [1,2]. Market demand for versatile botanical products delivering comprehensive therapeutic benefits within singular preparations continues expanding due to their wide-ranging advantages and manufacturing cost optimization potential.

Vernonia cinerea (L.) Less., vernacularly recognized as “white-flowered aster,” represents an endemic therapeutic plant species extensively distributed across Thailand’s geographical regions. Traditional healing practices have employed this botanical resource for generations, encompassing applications in pyretic relief, urinary stimulation, inflammatory response modulation, glycemic regulation, bacterial proliferation control, and nicotine dependency management [3]. Contemporary scientific investigations have identified multiple phytochemical categories within this species, including flavonoid derivatives, phenolic constituents, terpenoid structures, and alkaloid compounds, which demonstrate remarkable and diverse biological potentials.

Radical scavenging compounds serve fundamental roles in cellular protection against oxidative deterioration, representing the principal causative mechanism underlying chronic pathological conditions and age-associated degenerative phenomena. Research findings indicate that white-flowered aster demonstrates substantial free radical neutralizing capabilities [4], establishing its applicability potential in nutritional supplementation and cosmetic preparations targeting age retardation and dermal protection.

The tyrosinase enzyme system functions critically in melanogenesis pathways within cutaneous tissues. Modulating this enzymatic activity provides cosmeceutical benefits, specifically in ameliorating hyperpigmentation disorders, age spots, skin discoloration, and melanotic lesions. These properties of tyrosinase inhibit use ingredient in the development of cosmetic [5].

Naturally derived antimicrobial compound attract in growing interest due to drug resistant of microbial. Previous studies have shown that Vernonia cinerea has antimicrobial activities [6] can be developed into antimicrobial product. Type 2 Diabetes Mellitus presents a major global public health challenge, primarily caused by insulin resistance and dysfunction of enzymes involved in the carbohydrate digestion process. α -amylase (α-amylase) and α-glucosidase (α-glucosidase) has an important in the degradation of starch and polysaccharides into glucose. When these enzymes are overactive resulting in (postprandial hyperglycemia) [7]. The inhibition of α-amylase and α-glucosidase enzyme activity is important in controlling blood glucose levels and is a fundamental in the treatment of diabetes. According to previous studies have shown that extract of Vernonia cinerea significantly inhibits α-amylase and α-glucosidase [8]. This gives it potential for development as dietary supplement to help control blood glucose levels for diabetic patients or at-risk groups.

Recovering bioactive constituents from therapeutic plants to achieve optimal efficiency while maintaining comprehensive activity profiles simultaneously represents a substantial technical challenge, given that individual active components possess distinct physicochemical characteristics. Parameters requiring systematic evaluation include solvent polarity specifications, thermal conditions, processing duration, material-to-solvent proportions, and extraction methodologies such as maceration, ultrasonic-assisted extraction (UAE), and microwave-assisted extraction (MAE). Each technique significantly influences the yield, chemical stability, and compositional diversity of recovered bioactive materials [9,10]. Effective solvent systems must accommodate bioactive compound recovery across polarity ranges, from moderately polar phenolic structures to non-polar terpenoid molecules. Implementing mixed solvent approaches or modifying proportions of solvents with varying polarity characteristics may constitute an efficient methodology.

While individual biological activity investigations of white-flowered aster exist in scientific literature, comprehensive research systematically comparing diverse extraction methodologies and solvent configurations remains limited. Such studies would optimize recovery efficiency for bioactive compounds encompassing radical scavenging capacity, tyrosinase modulation, pathogen suppression, α-amylase inhibition, and α-glucosidase suppression within unified processing protocols. Identifying optimal parameters for simultaneous multi-activity extraction would enhance economic viability and minimize production expenditures. Furthermore, comparative evaluations of contemporary extraction technologies including ultrasonic-assisted extraction (UAE) and microwave-assisted extraction (MAE) versus conventional methodologies such as maceration regarding processing time, energy requirements, and extract quality characteristics provide essential information for commercial scale implementation.

Therefore, this research aims to determine optimal conditions of solvent systems and extraction techniques that can maximize yield and effectiveness of diverse bioactive constituents from indigenous Thai Vernonia cinerea, particularly enhancing antioxidation activity, tyrosinase modulation, pathogen suppression, α-amylase inhibition, and α-glucosidase inhibition within a single extraction process. Currently, hyperpigmentation disorders, type 2 diabetes and antimicrobial resistance are creating significant global economic and health burdens, resulting in continuously increasing demand for highly effective and safe natural products. The exploration of extraction methods that can utilize multiple bioactive compounds from medicinal plants for these applications is therefore critically important in the contemporary context. This research will also contribute to establishing crucial new knowledge for designing highly efficient extraction processes, promoting effective and cost-efficient utilization of local herbal resources, and leading to the development of herbal product, cosmetics, or dietary supplements from local resources that possess multiple activities, are safe, environmentally friendly, and have potential for international commercial competitiveness. This will help promote the advancement of traditional wisdom through modern scientific processes and create added value for community and national economies.

Materials and methods

Chemicals

Chemical reagents utilized in this research were of analytical grade purity and were purchased from Fisher Chemical, Merck, Ajax Finechem, and Sigma-Aldrich.


Plant material preparation

The botanical specimen utilized comprised Vernonia cinerea obtained from Khlong Luang District, Pathum Thani Province, collected during April 2023. Plant identification verification was conducted by the Herbarium Office, Forest and Plant Conservation Research Bureau, Department of National Parks, Wildlife and Plant Conservation, Bangkok. The investigation employed leaf, flower, and stem portions. Plant materials underwent thorough cleansing with distilled water, air-drying, and sectioning into small fragments, followed by dehydration in a hot-air oven at 45 C until achieving constant mass. Materials were pulverized using a grinding apparatus and sieved through 60-mesh screening. Precise weight measurements were recorded, and processed materials were stored in light-proof containers under sealed conditions at 4 C [9].


Maceration methodology

Vernonia cinerea specimens from different plant sections (leaves, flowers, and stems) were individually processed at 5 g portions with 50 mL distilled water as the extraction medium. Samples underwent gentle agitation, sealed containment, and ambient temperature incubation for 48 h. Filtration proceeded through Whatman No.1 filter paper with solution collection. Concentrate recovery utilized rotary vacuum evaporation at 45 C. The protocol was replicated with alternative solvents including 50% ethanol, 70%ethanol, methanol, and acetone. Crude extract masses were determined and extraction yield percentages calculated [9].


Crude extract yield calculation (%w/w) = (Crude extract mass×100)/Dry weight


Ultrasonic-assisted extraction (UAE)

Vernonia cinerea plant materials (leaves, flowers, and stems) were processed separately using 5 g in 50 mL distilled water. After brief mixing and sealing, specimens were subjected to ultrasonic bath treatment at 40 kHz frequency and 40 °C for 30 min. Post-treatment cooling preceded filtration through Whatman No.1 filter paper with solution collection. Concentrate recovery utilized rotary vacuum evaporation at 45 C. The methodology was repeated with alternative solvents including 50% ethanol, 70% ethanol, methanol, and acetone. Crude extract masses were determined and extraction yield percentages [11,12].


Crude extract yield calculation (%w/w) = (Crude extract mass×100)/Dry weight


Microwave-assisted extraction (MAE)

Vernonia cinerea specimens from various components (leaves, flowers, and stems) were prepared 5 g portions with 50 mL distilled water. Following gentle agitation, microwave settings were configured at 400 W with 5-min extraction duration. Post treatment cooling preceded filtration through Whatman No.1 filter paper with solution collection. Concentrate recovery utilized rotary vacuum evaporation at 45 °C. The procedure was replicated with alternative solvents including 50% ethanol, 70% ethanol, methanol, and acetone. Crude extract masses were determined and extraction yield percentages calculated [13,14].


Crude extract yield calculation (%w/w) = (Crude extract mass×100)/Dry weight


Total phenolic content determination

Phenolic compound quantification in extracts employed gallic acid standard solution preparation at concentrations of 0.1, 0.2, 0.3, 0.4 and 0.5 mg/mL. Standard solutions (125 μL) were pipetted into test tubes, followed by addition of 0.5 mL distilled water and 125 μL Folin-Ciocalteu reagent. After mixing and 3-min ambient temperature incubation, 1.25 mL of 7% sodium carbonate (Na2CO3) solution and 1 mL distilled water were added. Following thorough mixing, samples underwent 90-min dark incubation. Absorbance measurements proceeded at 760 nm wavelength using UV-Visible spectrophotometry (Libra S70 model) with distilled water as blank. Crude extract analysis involved triplicate determinations. Total phenolic quantification utilized gallic acid standard curves, with results expressed as milligrams gallic acid equivalents per gram dry extract (mg GAE/g extract) [15].


Total flavonoid content determination

Flavonoid compound quantification in extracts utilized quercetin as the reference standard for calibration curve construction. Quercetin solutions were prepared at concentrations of 0.1, 0.2, 0.3, 0.4 and 0.5 mg/mL. Standard solutions (0.2 mL) were pipetted into test tubes, followed by addition of 1.8 mL of 1% aluminum chloride (AlCl3) solution. After mixing and 10-min ambient temperature incubation, absorbance measurements proceeded at 415 nm wavelength using UV-Visible spectrophotometry (Libra S70 model or equivalent) with distilled water as blank. Crude extract analysis involved triplicate determinations. Total flavonoid quantification utilized quercetin standard curves, with results expressed as milligrams quercetin equivalents per gram dry extract (mg QE/g extract) [16].




DPPH radical scavenging assessment

Free radical neutralizing capacity of extracts was evaluated using reference standards including butylated hydroxyanisole (BHA), butylated hydroxytoluene (BHT), and α-tocopherol, alongside crude extract specimens prepared at concentrations of 50, 250, 500 and 1,000 μg/mL. Standard solutions or extracts at each concentration were pipetted (50 μL volumes) into test tubes, followed by addition of 5 mL DPPH (2,2-diphenyl-1-picrylhydrazyl) solution at 6×10–5 molar concentration. After mixing and 30-min dark incubation at ambient temperature, absorbance measurements proceeded at 516 nm wavelength using UV-Visible spectrophotometry (Libra S70 model) with distilled water as blank. Triplicate determinations were conducted for each specimen. Free radical neutralizing capacity was calculated as percentage radical elimination using the formula:


% Radical scavenging = [(Ac – As)/Ac] × 100


where: Ac = absorbance of DPPH solution; As = absorbance of sample-DPPH mixture

Results were analyzed to determine concentration achieving 50% DPPH radical reduction (IC50 values) from concentration-response curves plotting sample concentration versus % Radical Scavenging [17].


Ferric reducing antioxidant power (FRAP) assessment

FRAP reagent preparation involved combining 300 mM acetate buffer (pH 3.6), 10 mM TPTZ (2,4,6 tripyridyl-s-triazine) in 40 mM hydrochloric acid, and 20 mM ferric chloride hexahydrate (FeCl3·6H2O) at 10:1:1 volumetric ratio, with pre-warming at 37 °C for 4 min. Ferrous ion standard solutions were prepared at 200, 400, 600, 800 and 1,000 μM concentrations. Standard solutions (50 μL) were combined with 950 μL prepared FRAP reagent, mixed via vortex, and incubated in darkness at ambient temperature for 30 min. Absorbance measurements proceeded at 593 nm wavelength using spectrophotometry. Standard curves were constructed plotting ferrous ion concentration versus 593 nm absorbance. Sample solutions were prepared at 2 mg/mL concentration. Testing involved combining 50 μL sample solution with 950 μL FRAP reagent, vortex mixing, 30-min dark incubation at ambient temperature, and 593 nm absorbance measurement. Standard curves facilitated Fe2+ quantification from trolox or crude extract reactions. FRAP values represented Fe3+ to Fe2+ reduction capacity; elevated FRAP values indicated enhanced free radical neutralizing potential [18]. Triplicate analyses were conducted for each crude extract specimen.


Tyrosinase inhibition assessment

Sample solutions and kojic acid reference standards were prepared at 50, 250, 500 and 1,000 μg/mL concentrations dissolved in 99% ethanol. Each concentration underwent tyrosinase enzymatic inhibition testing using the Dopachrome methodology compared with kojic acid standards. Control solutions comprised 1,500 μL sodium phosphate buffer (0.02 M, pH 6.8), 500 μL tyrosinase enzyme solution (1,000 units/mL), and 500 μL 99% ethanol. Sample solutions contained 1,500 μL sodium phosphate buffer (0.02 M, pH 6.8), 500 μL tyrosinase enzyme solution, and 500 μL sample or standard solution in microplate reader cell culture plates (EnSpire 2300N model). Following mixing and 30-min incubation at 25 °C, absorbance measurements proceeded at 475 nm. Subsequently, 500 μL L-DOPA solution was added to each well, volume adjusted with 99% ethanol, mixed, incubated at 25 °C for 2 min, and re-measured at 475 nm. Triplicate experiments facilitated percentage tyrosinase inhibition calculation using:


% Tyrosinase Inhibition = (Acontrol - Asample)/Acontrol×100


Concentration-response curves plotting extract concentration versus % Tyrosinase Inhibition enabled IC50 determination [19].


Antibacterial activity assessment

Crude extract antimicrobial properties were evaluated using agar well diffusion methodology. Pathogenic bacterial cultures included gram-positive Staphylococcus aureus (TISTR746) and Bacillus cereus (TISTR1449), and gram-negative Salmonella Typhimurium (TISTR1472) cultivated in Mueller Hinton broth for 24 h with turbidity adjusted to McFarland #0.5 standard (≈108 CFU/mL). Bacterial suspensions were spread onto Mueller Hinton agar using sterile cotton swabs. Wells (5 mm diameter) were created using cork borers, filled with 100 μL crude extract specimens at 10 mg/mL concentration, and incubated at 37 °C for 18 - 24 h. Inhibition zone diameters were measured in millimeters and compared with DMSO (solvent control) and antibiotic controls including Streptomycin and Tetracycline at equivalent concentrations. Triplicate experiments were conducted [20].


Minimum inhibition concentration assessment

Three bacterial species were cultivated in nutrient broth and incubated at 37 °C for 18 - 24 h. Bacterial concentration was adjusted to 10⁸ CFU/mL using McFarland standard #0.5, then diluted 100-fold with MHB to achieve 1.5×10⁶ CFU/mL. Crude extract specimens from leaves, flowers, and stems were prepared at 1.562, 3.125, 6.25, 12.5, 25, and 50 mg/mL concentrations. 96-well microtiter plates received 100 μL MHB per well, followed by 100 μL bacterial suspension (1 %v/v) and 100 μL extract solution. Incubation proceeded at 37 °C for 24 h with negative control (DMSO ≤ 1%), positive controls (tetracycline and streptomycin antibiotics), and blank control (no bacterial addition). Post incubation, microtiter plate contents were streaked onto solid media (MHA) and incubated at 37 °C for 24 h. MIC values represented lowest extract concentrations preventing visible bacterial growth on culture plates. Triplicate experiments were conducted [20].


Minimal bactericidal concentration assessment

Bactericidal concentration determination (MBC) employed plate dilution methodology. Extract specimens underwent dilution in Mueller Hinton broth with bacterial cultivation and 37 C incubation for 24 h. Sterilization efficacy was assessed by distributing 100 μL volumes onto Mueller Hinton agar surfaces, followed by 37 °C incubation for 24 h. Bacterial growth monitoring facilitated bactericidal activity evaluation. MBC values represented lowest extract concentrations preventing visible bacterial growth in test cultures. Triplicate experiments were conducted [21].


Anti-α-amylase activity assessment

α-Amylase inhibition testing was adapted from Gella et al. [22]. Acarbose standard or sample solutions (10 mg/mL, 20 μL) were combined with 100 μL sodium phosphate buffer (pH 6.9) and 20 μL α-amylase enzyme solution in sodium phosphate buffer using 96-well microplate readers. Following 15-min ambient temperature incubation, 20 μL 2-chloro-4-nitrophenyl-α-D-maltatrioside solution was added to each well, mixed, and incubated for 30 min at ambient temperature. Sodium carbonate solution (40 μL) was added before absorbance measurement at 405 nm wavelength. Triplicate experiments facilitated percentage α-amylase inhibition calculation using:


% α-amylase inhibition = [(A-B)/A] × 100


where: A = absorbance without test substance; B = absorbance with test substance


Anti-α-glucosidase activity assessment

α-glucosidase inhibition testing was adapted from Matsui et al. [23]. Acarbose standard or sample solutions (10 mg/mL, 20 μL) were combined with 100 μL sodium phosphate buffer (pH 6.9) and 20 μL α-glucosidase enzyme solution in sodium phosphate buffer using 96-well microplate readers. Following 15-min ambient temperature incubation, 20 μL p-nitrophenyl-α-D-glucopyranoside solution was added, mixed, and incubated for 30 min. Sodium carbonate solution (40 μL) was added before absorbance measurement at 405 nm wavelength. Triplicate experiments facilitated percentage α-glucosidase inhibition calculation using:


% α-glucosidase inhibition = [(A – B)/A]×100


where: A = absorbance without test substance; B = absorbance with test substance


Statistical analysis

Experimental results underwent variance analysis using ANOVA methodology with mean comparisons via Duncan’s multiple-range tests at p < 0.05 significance levels.


Results and discussion

Impact of extraction techniques and solvent types on crude extract yield

When white-flowered aster specimens from various plant sections including leaves, flowers, and stems underwent processing with 50 mL solvent systems comprising distilled water, 50% ethanol, 70% ethanol, methanol, and acetone, followed by filtration and concentrate recovery via rotary vacuum evaporation, crude extract specimens were obtained with calculated percentage yields as demonstrated in Table 1.

Table 1 Efficiency of extraction in different methods and solvents from Vernonia cinerea.

Methods

Solvent

Extraction yield (%)

Leaf

Flower

Stem

Maceration

DI water

7.6 ± 0.06e

7.0 ± 0.00f

8.2 ± 0.08e

EtOH 50%

9.2 ± 0.15d

8.4 ± 0.08e

9.8 ± 0.10d

EtOH 70%

11.0 ± 0.00c

10.8 ± 0.10d

11.6 ± 0.08c

MeOH

13.0 ± 0.00b

12.2 ± 0.10c

13.2 ± 0.00b

Acetone

15.0 ± 0.00a

14.2 ± 0.10b

15.7 ± 0.10a

UAE

DI water

9.0 ± 0.00d

8.4 ± 0.15e

9.4 ± 0.15d

EtOH 50%

10.6 ± 0.31c

10.2 ± 0.00d

11.0 ± 1.00c

EtOH 70%

12.6 ± 0.15b

12.0 ± 0.06c

13.4 ± 0.10b

MeOH

15.0 ± 0.00a

14.4 ± 0.40b

15.4 ± 0.20a

Acetone

15.8 ± 0.00a

16.2 ± 0.10a

16.8 ± 0.10a

MAE

DI water

8.6 ± 0.00d

8.8 ± 0.00e

9.2 ± 0.15d

EtOH 50%

11.4 ± 0.10c

10.6 ± 0.25d

11.6 ± 0.00c

EtOH 70%

13.4 ± 0.20b

13.0 ± 0.03c

13.8 ± 0.15b

MeOH

14.6 ± 0.35a

14.4 ± 0.20b

15.2 ± 0.19a

Acetone

16.6 ± 0.10a

16.2 ± 0.10a

17.5 ± 0.10a

a, b, c, d, e the mean different is significantly at the 0.05 level using Ducan.

DI water = Distilled Water, EtOH = ethanol, MeOH = Methanol.

UAE = Ultrasound-Assisted Extraction, MAE = Microwave-Assisted Extraction.


Comparative evaluation of crude material recovery efficiency from leaves, flowers, and stems of Vernonia cinerea utilizing 3 extraction methodologies Maceration, Ultrasound-Assisted Extraction (UAE), and Microwave-Assisted Extraction (MAE) with 5 solvent systems including distilled water, 50% ethanol, 70% ethanol, methanol, and acetone, demonstrated statistically significant variations (p < 0.05) in recovered extract quantities. Traditional maceration methodology yielded the lowest recovery rates across all solvent systems, while acetone achieved maximum yields across all plant segments: leaves (15.0% ± 0.00%), flowers (14.2% ± 0.10%), and stems (15.7% ± 0.10%), followed by methanol. The least effective solvent was distilled water (7.0% - 8.2%). UAE methodology, employing high-frequency acoustic waves to accelerate extraction processes, demonstrated enhanced efficiency with acetone maintaining superior yields across all plant segments (15.8% - 16.8%) and methanol producing comparable results. Ethanol concentrations (70% and 50%) achieved intermediate performance levels, while distilled water maintained the lowest efficiency. MAE technique, utilizing microwave energy for extraction acceleration, exhibited the highest overall efficiency with acetone producing maximum yields from all plant segments (leaves 16.6% ± 0.10%, flowers 16.2% ± 0.10%, stems 17.5% ± 0.10%), followed by methanol (14.6% - 15.2%) and 70% ethanol with similar performance. Across all techniques, solvent performance patterns remained consistent with acetone demonstrating superior efficiency (14.2% - 17.6%) due to its moderate polarity characteristics optimal for dissolving phenolic and flavonoid compounds from Asteraceae family plants [24]. Methanol exhibited secondary performance (12.2% - 15.4%) attributed to its excellent polar and semi-polar compound solubility and small molecular size facilitating cellular penetration [25]. Ethanol 70% (10.8% - 13.8%) significantly outperformed 50% ethanol due to water proportions enhancing simultaneous dissolution of polar and non-polar bioactive constituents [26]. Distilled water demonstrated minimal efficiency (7.0% - 9.4%) due to limitations in non-polar compound solubility [27]. Comparative technique evaluation revealed MAE superiority (8.6% - 17.6%) through microwave energy transfer mechanisms capable of rapid cell wall disruption and enhanced mass transfer [28,29]. UAE demonstrated intermediate efficiency (8.4% - 16.8%) via cavitation mechanisms facilitating cell wall breakdown and increased surface contact between solvents and plant tissues [10]. Maceration, relying on natural diffusion processes, exhibited lowest efficiency (7.0% - 15.6%) while maintaining advantages in simplicity and cost-effectiveness [9]. Plant segment comparisons revealed stems producing highest extract yields (8.2% - 17.6%), consistent with Sonar and Rathod et al. [30] findings indicating Asteraceae family stem tissues typically accumulate elevated phenolic and terpenoid levels. Leaves demonstrated secondary yields (7.6% - 16.6%) with high bioactive accumulation but reduced tissue mass compared to stems [31]. Flowers produced lowest yields (7.0% - 16.2%), potentially attributed to reduced dry weight and thinner structural characteristics [32]. In conclusion, acetone and methanol represent the most efficient solvents for Vernonia cinerea extraction, particularly when combined with MAE technique demonstrating optimal performance across all conditions, emphasizing the significant potential of modern extraction technologies for enhancing bioactive constituent recovery from Thai medicinal plants.


Total phenolic content and total flavonoid content

When crude extract specimens from various Vernonia cinerea aster segments, obtained through different extraction methodologies and solvent systems, underwent Total Phenolic Content and Total Flavonoid Content analysis, results are presented in Table 2.


Table 2 Total phenolic content of Vernonia cinerea extract in different methods and solvents.

Methods

Solvent

Total phenolic content (mg GAE/g extract)

Total flavonoid content (mg QE/g extract)

Leaf

Flower

Stem

Leaf

Flower

Stem

Maceration

DI water

67.78 ± 1.18l

42.09 ± 1.89p

55.81 ± 2.08n

34.76 ± 0.51d

29.02 ± 0.40d

30.85 ± 0.38d

EtOH 50%

81.72 ± 1.42j

56.99 ± 3.15m

66.37 ± 1.83l

38.16 ± 0.61d

30.88 ± 0.29d

35.20 ± 0.67d

EtOH 70%

125.52 ± 2.79f

100.35 ± 0.87i

125.06 ±1.50f

40.72 ± 0.36d

34.22 ± 0.68d

38.55 ± 0.43d

MeOH

146.93 ± 3.76d

112.49 ± 2.17h

136.12 ± 3.85e

56.29 ± 1.41d

37.98 ± 0.53d

48.68 ± 0.21d

Acetone

135.86 ± 1.45e

116.24 ± 2.84h

126.46 ± 4.00f

47.01 ± 0.32d

33.48 ± 1.21d

39.18 ± 0.48d

UAE

DI water

77.84 ± 1.47k

46.22 ± 0.84o

69.82 ± 1.62l

37.01 ± 0.48d

27.43 ± 0.82d

31.89 ± 1.44d

EtOH 50%

125.10 ± 0.58f

96.85 ± 2.06j

111.63 ± 0.93g

46.03 ± 0.54d

28.69 ± 0.34d

34.59 ± 0.65d

EtOH 70%

147.03 ± 1.51d

127.14 ± 2.61f

134.00 ± 0.81e

51.50 ± 0.63d

38.81 ± 0.42d

46.59 ± 0.93d

MeOH

168.18 ± 3.08b

126.88 ± 1.83f

138.10 ± 1.64e

78.88 ± 0.22a

63.01 ± 1.59c

66.30 ± 0.59c

Acetone

155.71 ± 2.68c

136.57 ± 4.02e

145.05 ± 3.25d

66.71 ± 2.89b

47.88 ± 3.03d

53.40 ± 2.00d

MAE

DI water

88.34 ± 1.22i

65.39 ± 0.93m

73.34 ± 2.92k

40.67 ± 0.87d

28.67 ± 0.48d

35.22 ± 0.79d

EtOH 50%

140.56 ± 0.94d

114.77 ± 3.66h

124.83 ± 3.48f

44.63 ± 0.76d

31.17 ± 0.38d

39.20 ± 0.34d

EtOH 70%

157.54 ± 2.71c

134.08 ± 1.05e

141.56 ± 0.55d

61.91 ± 0.35d

42.61 ± 0.67d

53.14 ± 1.72d

MeOH

195.48 ± 4.18a

168.24 ± 0.31a

174.01 ± 4.09a

98.07 ± 0.33a

71.39 ± 0.74b

86.97 ± 1.50a

Acetone

166.14 ± 1.78b

132.97 ± 1.41e

147.51 ± 2.23d

71.53 ± 0.62b

51.39 ± 1.72d

64.11 ± 0.47c

a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p the mean different is significantly at the 0.05 level using Ducan.

DI water = Distilled Water, EtOH = ethanol, MeOH = Methanol.

UAE = Ultrasound-Assisted Extraction, MAE = Microwave-Assisted Extraction.


Figure 1 The highest Total Phenolic Content (TPC) and Total Flavonoid Content (TFC) in leaves, flowers, and stems of Vernonia cinerea methanolic extracts obtained via microwave-assisted extraction (MAE) methodology.




Data presented in Table 2 and Figure 1. demonstrates phenolic and flavonoid constituent quantification from Vernonia cinerea extracts utilizing diverse methodologies and solvent configurations. MAE (Microwave-Assisted Extraction) exhibited superior efficiency for both compound categories, particularly when employing methanol as the extraction medium, yielding maximum total phenolic concentrations in leaves (195.48 ± 4.18 mg GAE/g extract), flowers (168.24 ± 0.31 mg GAE/g extract), and stems (174.01 ± 4.09 mg GAE/g extract). Peak total flavonoid concentrations were similarly observed in leaf tissues (98.07 ± 0.33 mg QE/g extract). Comparative evaluation with UAE and Maceration revealed statistically significant superiority (p < 0.05) for MAE methodology. Plant segment comparisons demonstrated leaves containing the highest bioactive constituent concentrations, followed sequentially by stems and flowers.

Investigation outcomes indicate Vernonia cinerea leaves possess maximum total phenolic and flavonoid concentrations compared to flowers and stems, particularly when utilizing MAE methodology combined with methanol solvent, achieving total phenolic levels of 195.48 ± 4.18 mg GAE/g extract and total flavonoid concentrations of 98.07 ± 0.33 mg QE/g extract in leaf tissues. Such secondary metabolite distribution patterns align with Tungmunnithum et al. [31] findings indicating Asteraceae family leaves typically accumulate elevated phenolic concentrations compared to other plant segments due to UV radiation protection functions and free radical neutralization during photosynthetic processes. Additionally, Pandey and Rizvi [25] specify that leaves serve crucial protective roles against herbivore damage and pathogen attacks, necessitating elevated defensive compound production. Stem tissues demonstrated secondary phenolic and flavonoid concentrations following leaves (174.01 ± 4.09 mg GAE/g extract and 86.97 ± 1.50 mg QE/g extract respectively) attributed to their nutrient storage and transport functions, consistent with Ghasemzadeh and Ghasemzadeh [33] findings indicating medicinal plant stems function as secondary metabolite reservoirs for distribution to other plant components. Flowers exhibited minimum concentrations (168.24 ± 0.31 mg GAE/g extract and 71.39 ± 0.74 mg QE/g extract) potentially due to shortened functional lifespan and presence of alternative pigments including carotenoids and anthocyanins facilitating pollinator attraction rather than exclusive flavonoid dependence [34].

Extraction methodology efficiency comparisons revealed MAE demonstrating superior performance for phenolic and flavonoid recovery from all Vernonia cinerea segments, consistent with Proestos and Komaitis [35] research indicating microwave energy significantly enhances phenolic extraction efficiency through water molecule vibrations within plant cells, causing cell wall disruption and desired compound liberation. Mandal et al. [13] further emphasize MAE reduced processing time (2 - 5 min) compared to conventional methods, minimizing heat-sensitive compound degradation. UAE demonstrated secondary efficiency following MAE, particularly for leaf extraction, producing results comparable to Maceration. This aligns with Chemat et al. [10] explanations that ultrasonic waves effectively disrupt cell walls in robust tissue structures such as thick cuticle leaves, but may demonstrate reduced efficiency compared to microwave energy in softer tissues like flowers and stems. Maceration’s effectiveness for leaf extraction may result from extended processing duration (24 - 48 h) facilitating complete solvent cellular penetration, as Azwanida [9] describes prolonged immersion enhancing cellular compound diffusion. Solvent influence analysis revealed methanol demonstrating maximum efficiency for phenolic and flavonoid compound extraction from all Vernonia cinerea segments across all extraction methodologies, consistent with Do et al. [36] findings indicating methanol’s capability for diverse phenolic structure dissolution due to moderate polarity characteristics suitable for both flavonoid aglycones and glycosides. Dai and Mumper [37] additionally emphasize methanol’s capacity for disrupting hydrogen bonds between phenolic compounds and cellular proteins and carbohydrates, enhancing extraction efficiency. Acetone demonstrated secondary performance following methanol, particularly for leaf extraction (155.60 ± 1.45 mg GAE/g extract), consistent with Naczk and Shahidi [27] explanations that acetone possesses lower polarity than methanol, making it suitable for flavonoid compound extraction. Ethanol 50% achieving intermediate results can be explained through Spigno and Faveri [28] research indicating ethanol-water mixtures at appropriate ratios effectively extract phenolic compounds, though efficiency remains below pure methanol. Distilled water demonstrated minimum efficiency for phenolic and flavonoid compound extraction from all white-flowered aster segments, consistent with Dai and Mumper [37] explanations that most phenolic compounds prefer organic solvents over water due to non-polar or low-polarity structural characteristics. However, water’s capacity for extracting phenolic compounds at certain levels (67.78 ± 1.18 mg GAE/g extract in leaves) indicates presence of water-soluble flavonoid glycosides within the plant.

Regarding relationships between total phenolic and flavonoid constituents, investigation results demonstrate positive correlations between total phenolic compound and total flavonoid concentrations across all Vernonia cinerea aster segments, consistent with Wojdyło et al. [38] research identifying similar relationships in Asteraceae family plants. Flavonoid proportions of approximately 40% - 50% of total phenolics in this investigation align with Pietta [39] reports indicating flavonoids as primary phenolic compound groups in this plant family. Comparative analysis with Lim [40] studies on other Vernonia species revealed this investigation yielding higher phenolic concentrations, potentially attributed to varietal differences, cultivation areas, and sample preparation methodologies. Additionally, Zakaria et al. [41] research on V. amygdalina found MAE combined with methanol producing optimal results, supporting this investigation’s findings. Constituent concentration variations between plant segments observed in this study align with Surveswaran et al. [42] reports investigating secondary metabolite distribution in tropical medicinal plants, finding similar trends with leaves containing maximum bioactive concentrations, followed sequentially by stems and flowers. This investigation clearly demonstrates Vernonia cinerea as a valuable source of total phenolic compounds and flavonoids, particularly in leaf tissues, with MAE methodology combined with methanol providing maximum extraction efficiency, holding significant importance for future dietary supplements and herbal medicine product development.



Antioxidant activity

DPPH radical scavenging assessment

Free radical neutralizing capacity evaluation of crude white-flowered aster extracts using DPPH radical scavenging methodology revealed all plant segments demonstrating antioxidant potential with IC₅₀ values ranging 45.02 - 76.09 µg/mL. Extraction methodology comparisons indicated MAE achieving superior performance with minimum IC50 values (45.02 - 76.09 µg/mL), followed by UAE (48.27 - 75.43 µg/mL) and Maceration (49.32 - 75.73 µg/mL) sequentially. Regarding solvent systems, methanol demonstrated optimal extraction efficiency with IC50 values spanning 45.02 - 56.89 µg/mL compared to acetone (48.27 - 62.08 µg/mL) and 70% ethanol (60.81 - 66.42 µg/mL). Plant segment comparisons revealed leaves exhibiting maximum radical scavenging capacity (IC50 = 45.02 - 72.62 µg/mL), followed by stems (49.62 - 74.17 µg/mL) and flowers (51.54 - 76.09 µg/mL). Comparative analysis with reference standards BHA (74.66 ± 0.58 µg/mL), BHT (59.07 ± 0.33 µg/mL), and α-tocopherol (46.53 ± 0.81 µg/mL) demonstrated that Vernonia cinerea extracts obtained via MAE methodology using methanol solvent exhibited radical scavenging capacity comparable to all 3 standard compounds, highlighting Vernonia cinerea potential as an effective natural antioxidant source, as presented in Table 3.

Ferric Reducing Antioxidant Power (FRAP) Assessment Antioxidant capacity evaluation using FRAP methodology measures Fe3+-TPTZ complex reduction capability to Fe2+-TPTZ by compounds possessing antioxidant characteristics, where elevated FRAP values indicate enhanced radical neutralizing capacity. Investigation findings revealed crude white flowered aster extracts demonstrating FRAP values ranging 70.91 - 169.91 mg FeSO4/g extract. Extraction methodology comparisons indicated MAE achieving superior performance (130.77 - 169.91 mg FeSO4/g extract), followed by UAE (104.93 - 141.98 mg FeSO4/g extract) and Maceration (70.91 - 101.92 mg FeSO4/g extract) sequentially. Solvent system comparisons revealed methanol producing maximum FRAP values (93.32-169.91 mg FeSO4/g extract), followed by acetone (87.73 - 158.59 mg FeSO4/g extract) and 70% ethanol (84.74 - 151.82 mg FeSO4/g extract). Plant segment analysis demonstrated leaves exhibiting maximum antioxidant capacity (80.64 - 169.91 mg FeSO4/g extract), followed by stems (72.31 - 161.31 mg FeSO4/g extract) and flowers (70.91 - 158.62 mg FeSO4/g extract). These findings align with DPPH methodology results, confirming that white-flowered aster leaf extraction via MAE methodology using methanol solvent produces maximum antioxidant capacity, as detailed in Table 3.


Table 3 Total Phenolic Content of Vernonia cinerea extract in different methods and solvents.

Methods

Solvent

DPPH (IC50 µg/mL)

FRAP (mg of FeSO4 /g extract)

Leaf

Flower

Stem

Leaf

Flower

Stem

Maceration

DI water

68.68 ± 0.33d

75.73 ± 0.44e

73.01 ± 0.94e

80.64 ± 0.48e

70.91 ± 0.87e

72.31 ± 0.40e

EtOH 50%

67.46 ± 0.68d

68.46 ± 0.78d

68.01 ± 0.85d

86.28 ± 0.33e

81.15 ± 0.43e

82.24 ± 0.79e

EtOH 70%

60.81 ± 0.48c

66.00 ± 1.70c

62.03 ± 0.43c

91.05 ± 0.65e

84.74 ± 0.35e

86.97 ± 0.77e

MeOH

49.32 ± 0.05a

56.89 ± 1.77b

53.36 ± 0.78b

101.92 ± 3.27d

93.32 ± 1.57e

97.06 ± 0.71e

Acetone

55.63 ± 0.90b

60.89 ± 0.36b

59.00 ± 0.32b

95.08 ± 0.52e

87.73 ± 2.49e

92.16 ± 0.41e

UAE

DI water

72.27 ± 1.66e

75.43 ± 0.90e

74.08 ± 0.55e

110.52 ± 1.11d

104.93 ± 0.91d

107.42 ± 0.47d

EtOH 50%

64.89 ± 0.42c

68.83 ± 1.02d

66.69 ± 0.51d

127.62 ± 0.45c

117.18 ± 1.16d

114.89 ± 0.85d

EtOH 70%

60.99 ± 0.54c

65.17 ± 0.56c

62.37 ± 1.73c

135.13 ± 0.39c

128.38 ± 1.01c

131.40 ± 0.82c

MeOH

48.57 ± 0.85a

53.17 ± 0.86b

51.40 ± 1.41b

141.98 ± 0.82b

133.87 ± 0.61c

138.73 ± 0.88c

Acetone

48.27 ± 0.80a

53.06 ± 0.42b

51.92 ± 1.69b

137.50 ± 1.46c

130.93 ± 1.01c

133.99 ± 1.15c

MAE

DI water

72.62 ± 1.65e

76.09 ± 0.69e

74.17 ± 0.59e

136.60 ± 0.87c

130.77 ± 0.97c

135.62 ± 0.41c

EtOH 50%

70.18 ± 0.58e

72.32 ± 1.55e

71.84 ± 1.11e

147.40 ± 2.12b

140.99 ± 0.02b

145.29 ± 0.63b

EtOH 70%

63.99 ± 0.53c

66.42 ± 1.73d

65.62 ± 0.25c

151.82 ± 0.44b

147.79 ± 1.06b

149.30 ± 0.50b

MeOH

45.02 ± 0.13a

51.54 ± 0.58b

49.62 ± 0.46a

169.91 ± 0.51a

158.62 ± 0.74b

161.31 ± 0.78a

Acetone

52.33 ± 0.77b

59.83 ± 0.31b

62.08 ± 0.25c

158.59 ± 1.94b

151.18 ± 0.75b

153.81 ± 0.33b

a, b, c, d, e, f, g, h, i, j, k, l the mean different is significantly at the 0.05 level using Ducan.

DI water = Distilled Water, EtOH = ethanol, MeOH = Methanol.

UAE = Ultrasound-Assisted Extraction, MAE = Microwave-Assisted Extraction.


Experimental outcomes demonstrate Microwave-Assisted Extraction (MAE) achieving superior efficiency for antioxidant compound recovery from Vernonia cinerea, producing minimum radical inhibition IC50 values and maximum FRAP values compared to alternative extraction methodologies. These findings correspond with Belwal et al. [43] research developing multi-component analysis approaches for nutritional supplement extraction from Berberis jaeschkeana roots, discovering that MAE under optimized conditions significantly enhanced alkaloid and polyphenolic compound yields compared to conventional extraction techniques. Additionally, Alara et al. [44] confirmed MAE advantages when combined with natural deep eutectic solvents for antioxidant compound extraction from hazelnut pomace, emphasizing MAE’s capacity for reduced processing time, decreased solvent consumption, and enhanced environmental compatibility compared to conventional techniques. Kaur et al. [45] investigations provide additional supporting evidence regarding MAE development for Ginkgo biloba leaf extraction, reporting that 60% ethanol-water mixtures with 120-watt microwave energy for 20 min achieved maximum antioxidant capacity in DPPH, ABTS, and FRAP assessments, demonstrating MAE potential for efficient antioxidant compound recovery. Methanol selection as extraction solvent demonstrates considerable appropriateness, with González-Palma et al. [46] research indicating that methanolic Pleurotus ostreatus extracts exhibited superior radical scavenging capacity compared to aqueous extracts across multiple testing systems, particularly in DPPH and ABTS evaluations. Methanol’s efficiency for bioactive compound extraction potentially results from enhanced polyphenolic compound solubility characteristics, which serve crucial roles in demonstrating antioxidant capacity, consistent with Rajurkar and Hande et al. [47] findings identifying statistically significant correlations between iron reduction capacity (FRAP values) and total phenolic concentrations. Furthermore, current experimental results revealed significant consistency between DPPH and FRAP testing value trends, aligning with Clarke et al. [48] investigations testing 92 Malaysian rainforest plant extract specimens from 27 species, discovering high correlations between DPPH and FRAP results despite different underlying principles. DPPH measures electron or hydrogen donation capacity to DPPH• radicals, while FRAP measures Fe3+ to Fe2+ reduction capacity. However, consistent testing results indicate Vernonia cinerea extracts possess diverse antioxidant mechanisms, representing crucial characteristics of valuable bioactive compounds for future dietary supplement or cosmeceutical product development.


Tyrosinase inhibition assessment

Tyrosinase enzymatic inhibition capacity investigation of crude Vernonia cinerea extracts using Dopachrome methodology revealed all plant segments demonstrating tyrosinase suppression capability with IC50 values ranging 18.48 - 37.30 mg/mL. Extraction methodology comparisons indicated MAE achieving superior performance with minimum IC50 values (18.48 - 28.32 mg/mL), followed by UAE (19.93 - 30.63 mg/mL) and Maceration (24.76 - 37.30 mg/mL) sequentially. Regarding solvent systems, methanol demonstrated optimal performance (IC50 = 18.48 - 27.30 mg/mL) compared to acetone (20.00 - 28.83 mg/mL) and 70% ethanol (20.69 - 31.94 mg/mL). Plant segment comparisons revealed leaves exhibiting maximum inhibitory capacity (IC50 = 18.48 - 35.59 mg/mL), followed by stems (19.57 - 36.27 mg/mL) and flowers (20.68 - 37.30 mg/mL). Comparative analysis with kojic acid reference standard (IC50 = 9.43 ± 0.33 mg/mL) demonstrated that Vernonia cinerea extracts obtained via MAE methodology using methanol solvent exhibited tyrosinase inhibitory capacity comparable to kojic acid, as presented in Table 4.


Table 4 Tyrosinase inhibitory activity of Vernonia cinerea extract in different methods and solvents.

Methods

Solvent

Tyrosinase Inhibition Assay (IC50 mg/mL)

Leaf

Flower

Stem

Maceration

DI water

35.59 ± 0.18k

37.30 ± 0.38l

36.27 ± 0.34l

EtOH 50%

32.27 ± 0.23j

36.53 ± 0.41l

35.84 ± 0.14k

EtOH 70%

29.89 ± 0.12h

31.94 ± 0.08i

30.63 ± 0.27i

MeOH

24.76 ± 0.70e

27.30 ± 0.46g

25.47 ± 0.12f

Acetone

26.75 ± 0.28g

28.83 ± 0.58h

27.93 ± 0.18g

UAE

DI water

28.50 ± 0.09h

30.63 ± 0.45i

29.52 ± 0.35h

EtOH 50%

25.90 ± 0.17f

28.20 ± 0.83h

27.10 ± 0.67g

EtOH 70%

24.62 ± 0.97e

26.97 ± 0.25g

26.03 ± 0.33f

MeOH

19.93 ± 0.06b

22.48 ± 0.40d

21.01 ± 0.43c

Acetone

22.71 ± 0.87d

25.45 ± 0.71f

24.46 ± 0.66e

MAE

DI water

23.21 ± 0.86d

28.32 ± 0.27h

26.31 ± 0.08f

EtOH 50%

22.98 ± 0.03d

24.62 ± 0.21e

23.27 ± 0.34d

EtOH 70%

20.69 ± 0.25c

22.67 ± 0.29d

21.52 ± 0.47c

MeOH

18.48 ± 0.19a

20.68 ± 0.26c

19.57 ± 0.18b

Acetone

20.00 ± 0.16b

22.91 ± 0.60d

20.92 ± 0.65c

a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p the mean different is significantly at the 0.05 level using Ducan.

DI water = Distilled Water, EtOH = ethanol, MeOH = Methanol.

UAE = Ultrasound-Assisted Extraction, MAE = Microwave-Assisted Extraction.


Experimental investigations demonstrate Microwave-Assisted Extraction (MAE) achieving superior efficiency for tyrosinase inhibitory compound recovery from white-flowered aster, producing yields surpassing conventional extraction methodologies including Maceration and Soxhlet extraction. These outcomes align with Sonar and Rathod et al. [30] reports indicating MAE capability for marmelosin extraction from Aegle marmelos fruits within 30 s, while Soxhlet methodology required 7 h yet achieved significantly lower yields. MAE mechanisms utilizing microwave energy facilitate rapid cellular structure disruption, enhancing bioactive compound diffusion into solvents effectively. Methanol selection as extraction solvent demonstrated favorable outcomes, based on Belwal et al. [43] research achieving elevated berberine and palmatine recovery from Berberis roots using 100% methanol at pH 2.0 with 598 W for 2 min, consistent with methanol’s capacity for dissolving polyphenolic compounds possessing tyrosinase inhibitory potential. Vernonia cinerea extract IC50 values ranging 18.48 - 37.30 mg/mL compared to kojic acid (19.43 ± 0.33 mg/mL) demonstrated comparable levels, with kojic acid confirmed for stable inhibitory activity across diverse systems [49-51]. Although certain natural compounds including 6,7,4’-trihydroxyisoflavone and quercetin-4’-O-β-D-glucoside exhibit superior inhibitory activity compared to kojic acid, white-flowered aster extracts maintain compelling commercial potential. Additionally, white-flowered aster leaf segments demonstrated maximum tyrosinase inhibitory activity, consistent with Petrillo et al. [52] findings indicating Asphodelus microcarpus flower segments achieving minimum IC50 values among all plant segments with non-competitive inhibition characteristics similar to glabridin, reported by Wang et al. [53] for efficient enzyme binding through static quenching processes and molecular binding complex formation. Comparative evaluation between MAE, UAE, and Maceration techniques revealed MAE maintaining distinct advantages, consistent with López-Salazar et al. [11] research demonstrating MAE significantly enhancing polyphenolic compound extraction efficiency from sage leaves using Box Behnken experimental design. Experimental outcomes indicate MAE represents a promising technique for tyrosinase inhibitory compound extraction from Vernonia cinerea, providing feasible potential for future cosmetic or pharmaceutical product development.


Antibacterial activity

Antimicrobial activity investigation of white-flowered aster extracts utilizing diverse extraction techniques and solvent systems against bacterial strains Staphylococcus aureus (TISTR746), Bacillus cereus (TISTR1449), and Salmonella typhimurium (TISTR1472) using Disk Diffusion methodology revealed that extracts obtained via MAE technique using methanol solvent from Vernonia cinerea leaves demonstrated maximum inhibitory activity, with inhibition zone values against S. aureus, B. cereus, and S. typhimurium measuring 12.19 ± 0.01, 13.03 ± 0.01, and 12.03 ± 0.02 mm respectively. Comparative factor analysis demonstrated MAE technique achieving superior efficiency, followed sequentially by UAE and Maceration methodologies. Regarding solvent systems, methanol demonstrated optimal performance, followed by acetone, 70% ethanol, 50% ethanol, and distilled water sequentially. Plant segment considerations revealed leaves exhibiting maximum activity, followed by stems and flowers respectively. Bacterial strain sensitivity comparisons indicated B. cereus demonstrating highest susceptibility, followed by S. aureus and S. typhimurium respectively. These differences result from varying cell wall structures and defensive mechanisms, particularly S. typhimurium (gram-negative bacteria) exhibiting superior resistance. The group demonstrating minimum activity comprised Maceration extraction using distilled water from flowers against S. typhimurium, producing inhibition zones measuring only 1.06 ± 0.03 mm. Comparative analysis with reference standards Streptomycin and Tetracycline revealed Vernonia cinerea extracts maintaining antimicrobial activity below synthetic antimicrobial agents yet demonstrating potential for natural antimicrobial agent development, as detailed in Table 5.



Table 5 Antibacterial activity of Vernonia cinerea extract in different methods and solvents.

Methods

Solvent

Inhibition Zone (mm ± SD)

S. aureus (TISTR746)

B. cereus (TISTR1449)

S. typhimurium (TISTR1472)

Leaf

Flower

Stem

Leaf

Flower

Stem

Leaf

Flower

Stem

Maceration

DI water

3.21 ± 0.18j

2.01 ± 0.01l

3.02 ± 0.02j

3.32 ± 0.01j

2.14 ± 0.02l

3.13 ± 0.01j

1.43 ± 0.01l

1.06 ± 0.03l

1.38 ± 0.01l

EtOH 50%

4.88 ± 0.57i

3.14 ± 0.22j

3.22 ± 0.02j

4.52 ± 0.02i

3.13 ± 0.01j

3.42 ± 0.01j

1.91 ± 0.02l

1.49 ± 0.02l

1.64 ± 0.01l

EtOH 70%

5.31 ± 0.01h

3.86 ± 0.01i

4.43 ± 0.02i

5.22 ± 0.01h

4.88 ± 1.16i

4.01 ± 0.01i

2.03 ± 0.02k

1.82 ± 0.02l

1.96 ± 0.03l

MeOH

6.04 ± 0.01g

4.85 ± 0.06i

5.45 ± 0.01h

6.12 ± 0.01g

4.22 ± 0.01i

5.98 ± 0.01g

3.02 ± 0.02j

2.62 ± 0.02k

2.94 ± 0.01k

Acetone

5.01 ± 0.01h

3.05 ± 0.02j

4.74 ± 0.03i

4.94 ± 0.04i

3.13 ± 0.02j

4.22 ± 0.02i

2.61 ± 0.02k

2.04 ± 0.02k

2.45± 0.01k

UAE

DI water

6.22 ± 0.02g

4.32 ± 0.02i

5.95 ± 0.04g

6.34 ± 0.02g

4.03 ± 0.01i

6.03 ± 0.01g

3.63 ± 0.02j

2.93 ± 0.02k

3.04 ± 0.02j

EtOH 50%

7.31 ± 0.02f

4.98 ± 0.02h

6.02 ± 0.02g

7.01 ± 0.01f

4.12 ± 0.01i

5.98 ± 0.01g

4.23 ± 0.02i

3.94 ± 0.01i

4.01 ± 0.01i

EtOH 70%

9.02 ± 0.02d

7.10 ± 0.01f

8.95 ± 0.06d

8.02 ± 0.02e

6.05 ± 0.01g

7.03 ± 0.01f

5.04 ± 0.01h

4.03 ± 0.01i

4.73 ± 0.03h

MeOH

10.21 ± 0.01c

8.01 ± 0.01e

9.01 ± 0.01d

10.10 ± 0.10c

7.22 ± 0.01f

9.26 ± 0.04d

5.95 ± 0.04g

5.03 ± 0.01h

5.52 ± 0.02g

Acetone

9.12 ± 0.02d

7.02 ± 0.02f

8.28 ± 0.02e

9.01 ± 0.01d

6.04 ± 0.02g

8.01 ± 0.00e

7.05 ± 0.01f

6.03 ± 0.02g

6.95 ± 0.03f

MAE

DI water

8.64 ± 0.03e

6.09 ± 0.01g

7.10 ± 0.01f

8.57 ± 0.06e

6.11 ± 0.02g

7.32 ± 0.02f

8.23 ± 0.02e

8.50 ± 0.57e

8.02 ± 0.02e

EtOH 50%

10.12 ± 0.02c

8.11 ± 0.01e

9.00 ± 0.01d

10.87 ± 0.03c

8.64 ± 0.01e

9.07 ± 0.02d

9.70 ± 0.07d

8.75 ± 0.03e

9.02 ± 0.02d

EtOH 70%

11.31 ± 0.01b

9.03 ± 0.02d

10.72 ± 0.03c

11.32 ± 0.01b

9.03 ± 0.01d

10.34 ± 0.01c

10.66 ± 0.02c

9.86 ± 0.01d

10.02 ± 0.01c

MeOH

12.19 ± 0.01a

10.31 ± 0.01c

11.67 ± 0.06b

13.03 ± 0.01a

10.23 ± 0.02c

11.32 ± 0.02b

12.03 ± 0.02a

10.66 ± 0.02c

11.83 ± 0.03b

Acetone

11.81 ± 0.02b

10.21 ± 0.02c

11.01 ± 0.01b

12.87 ± 0.03a

10.17 ± 0.15c

11.51 ± 0.01b

11.22 ± 0.02b

10.30 ± 0.02c

10.97 ± 0.02c

a, b, c, d, e, f, g, h, i, j, k, l the mean different is significantly at the 0.05 level using Ducan.

DI water = Distilled Water, EtOH = ethanol, MeOH = Methanol.

UAE = Ultrasound-Assisted Extraction, MAE = Microwave-Assisted Extraction.



Minimum inhibitory concentration (MIC) assessment

Minimum bacterial growth inhibitory concentration testing results demonstrated that extracts obtained using distilled water solvent exhibited maximum MIC values at 6.25 mg/mL against all bacterial species, while extracts obtained from organic solvents demonstrated superior performance. Leaf and stem extracts utilizing 70% ethanol, methanol, and acetone achieved minimum MIC values of 1.562 mg/mL against S. aureus and B. cereus but demonstrated reduced efficacy against S. typhimurium with MIC values at 3.125 mg/mL. Flower extracts exhibited lower performance compared to other plant segments, demonstrating MIC values at 3.125 mg/mL against all bacterial species, as presented in Table 6.




Table 6 Minimal inhibitory concentration (MIC) of Vernonia cinerea extract in different methods and solvents.

Methods

Solvent

Minimal inhibitory concentration (MIC) (mg/mL)

S. aureus (TISTR746)

B. cereus (TISTR1449)

S. typhimurium (TISTR1472)

Leaf

Flower

Stem

Leaf

Flower

Stem

Leaf

Flower

Stem

Maceration

DI water

6.25

6.25

6.25

6.25

6.25

6.25

6.25

6.25

6.25

EtOH 50%

3.125

3.125

3.125

3.125

3.125

3.125

3.125

3.125

3.125

EtOH 70%

1.562

3.125

1.562

1.562

3.125

1.562

3.125

3.125

3.125

MeOH

1.562

3.125

1.562

1.562

3.125

1.562

3.125

3.125

3.125

Acetone

1.562

3.125

1.562

1.562

3.125

1.562

3.125

3.125

3.125

UAE

DI water

6.25

6.25

6.25

6.25

6.25

6.25

6.25

6.25

6.25

EtOH 50%

3.125

3.125

3.125

3.125

3.125

3.125

3.125

3.125

3.125

EtOH 70%

1.562

1.562

1.562

1.562

3.125

1.562

3.125

3.125

3.125

MeOH

1.562

1.562

1.562

1.562

3.125

1.562

3.125

3.125

3.125

Acetone

1.562

1.562

1.562

1.562

3.125

1.562

3.125

3.125

3.125

MAE

DI water

6.25

6.25

6.25

6.25

6.25

6.25

6.25

6.25

6.25

EtOH 50%

3.125

3.125

3.125

3.125

3.125

3.125

3.125

3.125

3.125

EtOH 70%

1.562

1.562

1.562

1.562

3.125

1.562

3.125

3.125

3.125

MeOH

1.562

1.562

1.562

1.562

3.125

1.562

3.125

3.125

3.125

Acetone

1.562

1.562

1.562

1.562

3.125

1.562

3.125

3.125

3.125

DI water = Distilled Water, EtOH = ethanol, MeOH = Methanol.

UAE = Ultrasound-Assisted Extraction, MAE = Microwave-Assisted Extraction.


Minimum bactericidal concentration (MBC) assessment

Minimum bacterial killing concentration testing revealed most extracts demonstrating MBC values at 50 mg/mL. However, high-performance extracts, particularly those obtained via MAE and UAE methodologies using methanol and acetone solvents from leaf and stem segments, successfully eliminated S. aureus and B. cereus at 25 mg/mL concentrations, similar to leaf extracts using methanol in Maceration methodology, which demonstrated MBC values at 25 mg/mL against both bacterial species. Nevertheless, S. typhimurium exhibited superior resistance, requiring 50 mg/mL concentrations for bacterial elimination. Investigation outcomes demonstrate white-flowered aster extracts possessing antibacterial potential, particularly against gram-positive bacteria (S. aureus and B. cereus) more than gram-negative bacteria (S. typhimurium), with MAE technique using methanol solvent from Vernonia cinerea leaf segments exhibiting maximum antibacterial performance, as presented in Table 7.


Table 7 Minimal bactericidal concentration (MBC) of Vernonia cinerea extract in different methods and solvents.

Methods

Solvent

Minimal bactericidal concentration (MBC) mg/ml)

S. aureus (TISTR746)

B. cereus (TISTR1449)

S. typhimurium (TISTR1472)

Leaf

Flower

Stem

Leaf

Flower

Stem

Leaf

Flower

Stem

Maceration

DI water

50

50

50

50

50

50

50

50

50

EtOH 50%

50

50

50

50

50

50

50

50

50

EtOH 70%

50

50

50

50

50

50

50

50

50

MeOH

25

50

50

25

50

50

50

50

50

Acetone

50

50

50

50

50

50

50

50

50

UAE

DI water

50

50

50

50

50

50

50

50

50

EtOH 50%

50

50

50

50

50

50

50

50

50

EtOH 70%

50

50

50

50

50

50

50

50

50

MeOH

25

50

25

25

50

25

25

50

50

Acetone

25

50

25

25

50

25

25

50

50

MAE

DI water

50

50

50

50

50

50

50

50

50

EtOH 50%

50

50

50

50

50

50

50

50

50

EtOH 70%

25

50

50

50

50

50

50

50

50

MeOH

25

50

25

25

50

25

25

50

50

Acetone

25

50

25

25

50

25

25

50

50

a, b, c, d, e, f, g, h, i, j, k, l the mean different is significantly at the 0.05 level using Ducan.

DI water = Distilled Water, EtOH = ethanol, MeOH = Methanol.

UAE = Ultrasound-Assisted Extraction, MAE = Microwave-Assisted Extraction.


The superior performance demonstrated by Microwave-Assisted Extraction (MAE) technique for antibacterial compound recovery from Vernonia cinerea aligns with Gowda et al. [54] research reporting that MAE utilization for Lantana camara flower extraction at 150 µL concentration significantly inhibited E. coli, Salmonella, and S. aureus. GC-MS analysis revealed hexadecanoic acid as the principal bioactive component in extracts from MAE, UAE, and Soxhlet methodologies, demonstrating this fatty acid’s role in bacterial suppression. This data corresponds with Nisca et al. [55] investigations utilizing MAE under optimized conditions (30 min at 850 W for aqueous extracts and 18 min at 650 W for hydroalcoholic extracts) for Quercus cerris bark extraction, discovering elevated polyphenolic yields with effective antibacterial activity against Gram-positive strains and Klebsiella pneumoniae. Methanol selection as extraction solvent receives support from Ibrahim and Kebede [56] research indicating methanolic extracts from medicinal plants (Moringa oleifera, Azadirachta indica, and Lepidium sativum) demonstrated significantly superior bacterial suppression compared to aqueous extracts, similar to Chaisawangwong et al. [57] findings showing methanol producing maximum E. coli inhibition while ethanol demonstrated pronounced effects against S. aureus, suggesting ethanol’s potentially superior safety profile compared to methanol. Bacterial sensitivity level variations between Gram-positive and Gram-negative species receive support from multiple research investigations, including Gonelimali et al. [58] reporting Bacillus cereus demonstrating highest susceptibility to clove extracts with MIC values as low as 0.315%, while Mogana et al. [59] reported Canarium patentinervium extracts exhibiting moderate to good activity against both bacterial groups with MIC values ranging 0.25 - 16.00 mg/mL. Gram-negative strains typically demonstrate superior resistance compared to Gram-positive organisms, attributable to complex cell wall structures and outer membrane layers, as Al-Mariri and Safi [60] reported essential oils from plants including Origanum syriacum and Syzygium aromaticum achieving Gram-negative bacterial elimination including Proteus spp. and K. pneumoniae with MIC values spanning 1.5 - 25 µL/mL. Regarding inhibitory and bactericidal concentration values (MIC and MBC), Hemeg et al. [61] research investigating extracts from 5 medicinal plant leaf species discovered MIC and MBC values ranging 625 - 5,000 µg/mL and 625 - 1250 µg/mL respectively, demonstrating clear effects against S. aureus, while Al-Mostafa et al. [62] found ethanolic extracts from Punica granatum and S. aromaticum achieving MIC values of only 2.5 - 5.0 mg/mL and MBC 5.0 - 10 mg/mL against S. aureus and P. aeruginosa. This investigation employed disk diffusion methodology, representing a standard approach for preliminary activity assessment. Although Klancnik et al. [63] indicated this method’s suitability for screening prior to broth dilution MIC testing, it remains popular for preliminary antimicrobial activity evaluation. Balouiri et al. [20] research supports appropriate bacterial strains for antibacterial activity assessment including Bacillus subtilis, Staphylococcus aureus, and Escherichia coli, which were utilized in this investigation. Additionally, Vernonia cinerea leaf segments demonstrated maximum antibacterial activity, consistent with Balouiri et al. [20] findings indicating leaf extracts from certain plant species including Cremaspora triflora and Maesa lanceolata achieving MIC values as low as 0.07 - 0.09 mg/mL against Gram-positive and Gram-negative strains, while Oracz et al. [64] reported baicalein and baicalin compounds in Scutellaria genus plants effectively suppressing E. coli, B. cereus, S. aureus, and Salmonella anatum, corresponding with flavonoid compound mechanisms present in Vernonia cinerea leaves. Therefore, the aforementioned research demonstrates Vernonia cinerea leaf extracts possessing substantial potential as natural antibacterial compound sources, particularly when utilizing MAE techniques combined with methanol, consistent with contemporary research trends emphasizing natural alternative discovery for addressing current antibiotic resistance challenges.





α-Amylase and α-glucosidase enzymatic inhibition activities

α-Amylase enzymatic inhibition assessment of crude extracts from Vernonia cinerea aster segments utilizing different extraction methodologies and solvent systems, compared with acarbose reference standard (76.40% ± 1.57%), revealed extract inhibition efficiency ranging 42.86% - 73.76%. Extraction methodology comparisons indicated MAE achieving superior performance (66.84% ± 6.42%), followed by UAE (59.67% ± 5.98%) and Maceration (54.63% ± 7.86%) sequentially. Solvent system comparisons revealed methanol demonstrating maximum efficiency (66.78% ± 4.85%), followed by acetone (64.79% ± 4.71%) and 70% ethanol (61.56% ± 5.84%) respectively. Plant segment comparisons indicated leaves exhibiting superior performance (61.97% ± 8.42%), followed by stems (60.33% ± 7.95%) and flowers (57.89% ± 8.21%) respectively. Alpha-glucosidase enzymatic inhibition testing, compared with acarbose reference standard (68.06% ± 1.32%), revealed extract inhibition efficiency ranging 30.70% - 63.61%. Extraction methodology comparisons indicated MAE achieving superior performance (55.30% ± 5.08%), followed by UAE (44.14% ± 5.45%) and Maceration (37.62% ± 4.72%) sequentially. Solvent system comparisons revealed methanol demonstrating maximum efficiency (52.01% ± 7.51%), followed by acetone (48.87% ± 8.16%) and 70% ethanol (45.85% ± 8.72%) respectively. Plant segment comparisons indicated leaves exhibiting superior performance (47.74% ± 9.32%), followed by stems (45.73% ± 8.84%) and flowers (43.60% ± 8.65%) respectively. Investigation findings demonstrate MAE methodology utilizing methanol solvent for Vernonia cinerea aster leaf extraction exhibiting maximum inhibition efficiency for both enzymatic systems, achieving α-amylase inhibition of 73.76% (representing 96.5% relative to acarbose) and α-glucosidase inhibition of 63.61% (representing 93.5% relative to acarbose), as detailed in Table 8.







Table 8 % α-amylase inhibition and % α-glucosidase inhibition of Vernonia cinerea extract in different methods and solvents.

Methods

Solvent

% α-amylase inhibition

% α-glucosidase inhibition

Leaf

Flower

Stem

Leaf

Flower

Stem

Maceration

DI water

48.10 ± 0.64ⁿ

42.86 ± 0.65ᵖ

45.47 ± 0.26°

33.77 ± 0.43ᵍ

30.70 ± 0.41ˢ

32.09 ± 0.26ʳ

EtOH 50%

54.73 ± 0.34ᵏ

51.16 ± 0.63ᵐ

53.20 ± 0.20ˡ

36.78 ± 0.41°

32.84 ± 0.30ᵍ

34.88 ± 0.48ᵖ

EtOH 70%

58.49 ± 0.47ⁱ

55.44 ± 0.29ᵏ

57.13 ± 0.25ʲ

38.91 ± 0.12ⁿ

33.54 ± 0.30ᵍ

36.80 ± 0.75°

MeOH

65.21 ± 0.64f

60.54 ± 0.24ʰ

63.62 ± 0.15ᵍ

45.91 ± 0.23ʲ

42.73 ± 0.53ˡ

44.66 ± 0.48ᵏ

Acetone

64.06 ± 0.81f

57.43 ± 0.44ⁱ

60.96 ± 0.09ʰ

41.46 ± 0.42ᵐ

38.78 ± 0.24ⁿ

40.47 ± 0.19ᵐ

UAE

DI water

53.48 ± 0.22ˡ

50.56 ± 0.34ᵐ

52.78 ± 0.26ˡ

37.38 ± 0.27°

35.45 ± 0.39ᵖ

36.72 ± 0.17°

EtOH 50%

58.23 ± 0.15ⁱ

53.92 ± 0.38ˡ

55.67 ± 1.10ʲ

42.40 ± 0.43ˡ

38.44 ± 0.30ⁿ

40.96 ± 0.05ᵐ

EtOH 70%

62.61 ± 0.38ᵍ

57.74 ± 0.35ⁱ

60.49 ± 0.32ʰ

47.77 ± 0.32ⁱ

43.21 ± 0.06ˡ

44.71 ± 0.31ᵏ

MeOH

68.04 ± 0.77e

63.72 ± 0.27ᵍ

65.33 ± 0.22f

52.70 ± 0.29f

47.95 ± 0.25ⁱ

51.08 ± 0.54ᵍ

Acetone

67.52 ± 0.28e

62.60 ± 0.29ᵍ

64.84 ± 0.19f

49.08 ± 0.10ʰ

46.37 ± 0.48ʲ

47.94 ± 0.07ⁱ

MAE

DI water

60.52 ± 0.37ʰ

54.73 ± 0.25ᵏ

58.79 ± 0.09ⁱ

51.12 ± 0.66ᵍ

46.13 ± 0.08ʲ

48.50 ± 0.38ⁱ

EtOH 50%

65.10 ± 0.05f

60.78 ± 0.22ʰ

62.65 ± 0.18ᵍ

55.79 ± 0.39e

49.76 ± 0.38ʰ

51.62 ± 0.31ᵍ

EtOH 70%

70.99 ± 0.38c

67.45 ± 0.34e

69.16 ± 0.60d

58.09 ± 0.77d

53.59 ± 0.34f

56.07 ± 0.05e

MeOH

73.76 ± 0.80b

70.55 ± 0.22d

72.23 ± 0.18c

63.61 ± 0.35b

58.53 ± 0.41d

60.89 ± 0.45c

Acetone

71.42 ± 0.40c

68.51 ± 0.33e

70.31 ± 0.13d

61.29 ± 0.44c

55.96 ± 0.55e

58.52 ± 0.33d

a, b, c, d, e, f, g, h, i, j, k, l, m, o, p, q, r, s the mean different is significantly at the 0.05 level using Ducan.

DI water = Distilled Water, EtOH = ethanol, MeOH = Methanol.

UAE = Ultrasound-Assisted Extraction, MAE = Microwave-Assisted Extraction.


Experimental outcomes revealed Microwave-Assisted Extraction (MAE) efficiency for diabetes related enzymatic inhibitory compound extraction receiving support from Yuan et al. [65] research comparing phenolic compound extraction from brown algae using MAE at 110 C for 15 min versus conventional ambient temperature extraction for 4 h. Findings indicated MAE producing superior yields and total phenolic concentrations, with Lessonia trabeculate extracts demonstrating α-glucosidase inhibitory activity exceeding acarbose performance. Additionally, Maaiden et al. [66] revealed MAE achieving maximum α-amylase inhibition values reaching 0.424 mmol acarbose equivalent/g extract compared to alternative methodologies, demonstrating this technique’s efficiency. Methanol solvent selection for enzymatic inhibitor extraction receives confirmation from multiple research investigations, including Abdul Mousavi et al. [67] findings indicating methanolic Ocimum tenuiflorum extracts, particularly ethyl acetate-butanol fractions, demonstrated effective α-glucosidase and α-


amylase inhibition compared to acarbose, and Bhatia et al. [68] reporting methanolic Cornus capitata extracts achieving maximum α-glucosidase inhibitory activity through competitive inhibition mechanisms. Acarbose comparative results align with Poovitha and Parani [69] discoveries indicating protein extracts from bitter melon (Momordica charantia) inhibited both enzymatic systems comparably to acarbose with IC50 values at 0.26 - 0.29 mg/mL, and Nguelefack et al. [70] investigations reporting methanolic Ceiba pentandra extracts achieving α-amylase inhibitory efficiency 3 times superior to acarbose. Furthermore, Magaji et al. [71] demonstrated methanolic and hexane extracts from Moringa oleifera leaves achieving IC50 values for α-amylase at 8.217 and 9.397 mg/mL respectively, while root extracts produced α-glucosidase IC₅₀ values at 0.382 mg/mL, comparable to acarbose, similar to Shah et al. [72] findings indicating Molineria capitulata producing optimal α-amylase inhibition within the group with IC50 = 300.9 ± 3.38 µg/mL. Leaf segments demonstrating maximum enzymatic inhibitory activity aligns with Thengyai et al. [73] research evaluating 37 Thai medicinal plant species in traditional antidiabetic formulations, discovering leaf extracts from Vitex glabrata, Salacia chinensis, Senna siamea, Terminalia catappa, and Phyllanthus amarus exhibiting elevated α-glucosidase inhibitory activity, with lupeol and β-amyrin compounds demonstrating superior performance compared to acarbose. This corresponds with Jhong et al. [74] studies identifying curcumin, berberine, catechin, and quercetin as compounds achieving α-amylase inhibition superior to acarbose, with curcumin demonstrating maximum activity 7.7 times higher, and Attaallah et al. [75] utilizing glucometer biosensor identification indicating Cinnamomum cassia achieving IC50 values for α-amylase and α-glucosidase at 1.9 and 1.42 mg/mL respectively, possessing elevated potential for natural bioactive compound development. Kumar et al. [76] reviews indicate that although acarbose, miglitol, and voglibose represent clinically utilized enzymatic inhibitors, they demonstrate gastrointestinal side effects, directing contemporary research toward discovering safer natural alternatives. Khadayat et al. [77] reported Acacia catechu, Dioscorea bulbifera, and Swertia chirata achieving α-amylase IC50 values at 49.9, 296.1 and 413.5 µg/mL respectively, demonstrating mixed-type inhibition patterns. Therefore, investigation outcomes demonstrate Vernonia cinerea leaf extracts possessing substantial potential for effective α-amylase and α-glucosidase enzymatic inhibition, particularly when utilizing MAE techniques combined with methanol, producing results comparable or equivalent to acarbose while indicating promising development prospects as natural antidiabetic bioactive compounds offering enhanced safety profiles and reduced costs compared to current synthetic pharmaceuticals.


Conclusions

This investigation aimed to determine optimal solvent system conditions and extraction techniques for enhancing biological activity efficiency of crude extracts from indigenous Thai Vernonia cinerea focusing on obtaining extracts demonstrating antioxidant capacity, tyrosinase enzymatic inhibition, antibacterial properties, and α-amylase and α-glucosidase enzymatic suppression related to Type 2 diabetes development, efficiently within unified extraction procedures. Experimental outcomes revealed microwave-assisted extraction (MAE) techniques combined with methanol (MeOH) solvent achieving maximum efficiency across all testing protocols, particularly for Vernonia cinerea leaf extraction, which demonstrated maximum total phenolic and flavonoid concentrations alongside superior biological activities compared to other plant segments, including antioxidant capacity (minimum IC50 in DPPH and maximum FRAP values), tyrosinase inhibitory activity (IC50 values comparable to kojic acid), antibacterial properties (inhibition zones comparable to reference standards), and sugar-metabolizing enzymatic inhibition (efficiency comparable to acarbose). From obtained results, conclusions indicate that MAE utilization combined with methanol for white flowered leaf extraction represents optimal conditions for simultaneous diverse bioactive compound recovery, leading toward development of high-quality, safe, and internationally competitive dietary supplements, cosmetics, or herbal pharmaceuticals from local medicinal resources.


Acknowledgements

This research was supported by the Faculty of Science and Technology, Valaya Alongkorn Rajabhat University under the Royal Patronage, Pathum Thani, Thailand.


Declaration of Generative AI in Scientific Writing

The authors acknowledge the use of generative AI tools (e.g., ChatGPT by OpenAI) in preparing this manuscript, limited to language refinement and grammar correction. No AI was involved in content creation or data interpretation. The authors assume full responsibility for all content and conclusions presented.


CRediT Author Statement

Napattaorn Buachoon: Conceptualization, Methodology, Data curation, Formal analysis, Investigation, Supervision, Validation, Writing – original draft, and Visualization.


References

[1] V Lobo, A Patil, A Phatak and N Chandra. Free radicals, antioxidants and functional foods: Impact on human health. Pharmacognosy Reviews 2010; 4(8), 118-126.

[2] L Panzella and A Napolitano. Natural and bioinspired phenolic compounds as tyrosinase inhibitors for the treatment of skin hyperpigmentation: Recent advances. Cosmetics 2019; 6(4), 57.

[3] Department of Thai Traditional and Alternative Medicine. Standard herbal list: Thai herbal pharmacopoeia. Ministry of Public Health, Bangkok, Thailand, 2014.

[4] B Srichaikul, H Theerasin and N Ruangrungsi. Phenolic contents and antioxidant capacity of different extracts of Vernonia cinerea (L.) less. Thai Journal of Pharmaceutical Sciences 2019; 43(1), 8-14.

[5] L Pisano, M Turco and CT Supuran. Biomedical applications of tyrosinases and tyrosinase inhibitors. The Enzymes 2024; 56, 261-280.

[6] MA Sonibare, OT Aremu and PN Okorie. Antioxidant and antimicrobial activities of solvent fractions of Vernonia cinerea (L.) less leaf extract. African Health Sciences 2016; 16(2), 629-639.

[7] U Etxeberria, ALDL Garza, J Campión, JA Martinez and FI Milagro. Antidiabetic effects of natural plant extracts via inhibition of carbohydrate hydrolysis enzymes with emphasis on pancreatic alpha amylase. Current Pharmaceutical Design 2012; 16(3), 269-297.

[8] OR Alara, A Nour, CI Ukaegbu and AH Nour. Vernonia cinerea leaves as the source of phenolic compounds, antioxidants, and anti-diabetic activity using microwave-assisted extraction technique. Industrial Crops and Products 2018; 122, 533-544.

[9] NN Azwanida. A review on the extraction methods use in medicinal plants, principle, strength and limitation. Medicinal & Aromatic Plants 2015; 4(3), 1000196.

[10] F Chemat, M Abert Vian and G Cravotto. Green extraction of natural products: Concept and principles. International Journal of Molecular Sciences 2012; 13(7), 8615-8627.

[11] H López-Salazar, BH Camacho-Díaz, MLA Ocampo and AR Jiménez-Aparicio. Microwave-assisted extraction of functional compounds from plants: A review. Bioresources 2023; 18(3), 6614-6638.

[12] M Vinatoru, TJ Mason and I Calinescu. Ultrasound-assisted extraction (UAE) and microwave-assisted extraction (MAE) of functional compounds from plant materials. TrAC Trends in Analytical Chemistry 2017; 97, 159-178.

[13] V Mandal, Y Mohan and S Hemalatha. Microwave assisted extraction - An innovative and promising extraction tool for medicinal plant research. Pharmacognosy Reviews 2007; 1(1), 7-18.

[14] AV Le, SE Parks, MH Nguyen and P Roach. Optimisation of the microwave-assisted ethanol extraction of saponins from Gac (Momordica cochinchinensis Spreng.) seeds. Medicines 2018; 5(3), 70.

[15] VL Singleton and JA Rossi. Colorimetry of total phenolics with phosphomolybdic-phosphotungstic acid reagents. American Journal of Enology and Viticulture 1965; 16(3), 144-158.

[16] CC Chang, MH Yang, HM Wen and JC Chern. Estimation of total flavonoid content in propolis by two complementary colorimetric methods. Journal of Food and Drug Analysis 2002; 10(3), 178-182.

[17] W Brand-Williams, ME Cuvelier and C Berset. Use of a free radical method to evaluate antioxidant activity. LWT - Food Science and Technology 1995; 28(1), 25-30.

[18] K Thaipong, U Boonprakob, K Crosby, L Cisneros-Zevallos and DH Byrne. Comparison of ABTS, DPPH, FRAP, and ORAC assays for estimating antioxidant activity from guava fruit extracts. Journal of Food Composition and Analysis 2006; 19(6-7), 669-675.

[19] Y Masamoto, H Ando, Y Murata, Y Shimoishi, M Tada and K Takahata. Mushroom tyrosinase inhibitory activity of esculetin isolated from seeds of Euphorbia lathyris L. Bioscience, Biotechnology, and Biochemistry 2003; 67(3), 631-634.

[20] M Balouiri, M Sadiki and SK Ibnsouda. Methods for in vitro evaluating antimicrobial activity: A review. Journal of Pharmaceutical Analysis 2017; 6(2), 71-79.

[21] JH Jorgensen and MJ Ferraro. Antimicrobial susceptibility testing: A review of general principles and contemporary practices. Clinical Infectious Diseases 2009; 49(11), 1749-1755.

[22] FJ Gella, G Gubern, R Vidal and F Canalias. Determination of total and pancreatic α-amylase in human serum with 2-chloro-4-nitrophenyl-α-D-maltotrioside as substrate. Clinica Chimica Acta 1997; 259(1-2), 147-160.

[23] T Matsui, C Yoshimoto, K Osajima, T Oki and Y Osajima. In vitro survey of α-glucosidase inhibitory food components. Bioscience, Biotechnology, and Biochemistry 1996; 60(12), 2019-2022.

[24] R Chirinos, H Rogez, D Campos, R Pedreschi and Y Larondelle. Optimization of extraction conditions of antioxidant phenolic compounds from mashua (Tropaeolum tuberosum Ruiz & Pavón) tubers. Separation and Purification Technology 2013; 55(2), 217-225.

[25] A Pandey and SL Rizvi. Plant polyphenols as dietary antioxidants in human health and disease. Oxidative Medicine and Cellular Longevity 2009; 2(5), 270-278.

[26] G Spigno, L Tramelli and DMD Faveri. Effects of extraction time, temperature and solvent on concentration and antioxidant activity of grape marc phenolics. Journal of Food Engineering 2007; 81(1), 200-208.

[27] M Naczk and F Shahidi. Extraction and analysis of phenolics in food. Journal of Chromatography A 2004; 1054(1-2), 95-111.

[28] G Spigno and DMD Faveri. Microwave-assisted extraction of tea phenols: A phenomenological study. Journal of Food Engineering 2009; 93(2), 210-217.

[29] PC Veggi, J Martinez and MA Meireles. Fundamentals of microwave extraction. In: F Chemat and G Cravotto (Eds.). Microwave-assisted extraction for bioactive compounds. Springer, New York, 2013, p. 15-52.

[30] MP Sonar and VK. Rathod. Microwave assisted extraction (MAE) used as a tool for rapid extraction of Marmelosin from Aegle marmelos and evaluations of total phenolic and flavonoids content, and antioxidant and anti-inflammatory activity. Chemical Data Collections 2020; 30, 100545.

[31] D Tungmunnithum, A Thongboonyou, A Pholboon and A Yangsabai. Flavonoids and other phenolic compounds from medicinal plants for pharmaceutical and medical aspects: An overview. Medicines 2018; 5(3), 93.

[32] MG Miguel. Antioxidant activity of medicinal and aromatic plants. A review. Flavour and Fragrance Journal 2011; 25(5), 291-312.

[33] A Ghasemzadeh and N Ghasemzadeh. Flavonoids and phenolic acids: Role and biochemical activity in plants and human. Journal of Medicinal Plants Research 2011; 5(31), 6697-6703.

[34] T Mol, E Grotewold and R Koes. How genes paint flowers and seeds. Trends in Plant Science 1998; 3(6), 212-217.

[35] C Proestos and M Komaitis. Application of microwave-assisted extraction to the fast extraction of plant phenolic compounds. LWT-Food Science and Technology 2008; 41(4), 652-659.

[36] QD Do, AE Angkawijaya, PL Tran-Nguyen, LH Huynh, FE Soetaredjo, S Ismadji and YH Ju. Effect of extraction solvent on total phenol content, total flavonoid content, and antioxidant activity of Limnophila aromatica. Journal of Food and Drug Analysis 2014; 22(3), 296-302.

[37] J Dai and RJ Mumper. Plant phenolics: Extraction, analysis and their antioxidant and anticancer properties. Molecules 2010; 15(10), 7313-7352.

[38] A Wojdylo, J Oszmianski and R Czemerys. Antioxidant activity and phenolic compounds in 32 selected herbs. Food Chemistry 2007; 105(3), 940-949.

[39] PG Pietta. Flavonoids as antioxidants. Journal of Natural Products 2000; 63(7), 1035-1042.

[40] TK Lim. Edible medicinal and non-medicinal plants: Volume 3, fruits. Springer, Dordrecht, Netherlands, 2012.

[41] M Zakaria, K Simpson, PR Brown and A Krstulovic. Use of reversed-phase high-performance liquid chromatographic analysis for the determination of provitamin A carotenes in tomatoes. Journal of Chromatography A 1979; 176(1), 109-117.

[42] S Surveswaran, YZ Cai, H Corke and M Sun. Systematic evaluation of natural phenolic antioxidants from 133 Indian medicinal plants. Food Chemistry 2007; 102(3), 938-953.

[43] T Belwal, A Pandey, ID Bhatt, RS Rawal and V Pande. Optimized microwave assisted extraction (MAE) of alkaloids and polyphenols from Berberis roots using multiple-component analysis. Scientific Reports 2020; 10, 917.

[44] OR Alara, NH Abdurahman, CI Ukaegbu and NH Azhari. Microwave-assisted extraction of antioxidant compounds using natural deep eutectic solvents: A sustainable approach for valorization of hazelnut pomace. Journal of Environmental Chemical Engineering 2022; 10(2), 107267.

[45] P Kaur, A Chaudhary, B Singh and Gopichand. An efficient microwave assisted extraction of phenolic compounds and antioxidant potential of Ginkgo biloba. Natural Product Communications 2012; 7(2), 203-206.

[46] I González-Palma, HB Escalona-Buendía, E Ponce-Alquicira, M Téllez-Téllez, VK Gupta, G Díaz-Godínez and J Soriano-Santos. Evaluation of the antioxidant activity of aqueous and methanol extracts of Pleurotus ostreatus in different growth stages. Frontiers in Microbiology 2016; 7, 1099.

[47] NS Rajurkar and SM Hande. Estimation of phytochemical content and antioxidant activity of some selected traditional Indian medicinal plants. Indian Journal of Pharmaceutical Sciences 2011; 73(2), 146-151.

[48] G Clarke, KN Ting, C Wiart and J Fry. High correlation of 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging, ferric reducing activity potential and total phenolics content indicates redundancy in use of all three assays to screen for antioxidant activity of extracts of plants from the Malaysian rainforest. Antioxidants 2013; 2(1), 1-10.

[49] W Wang, Y Gao, W Wang, J Zhang, J Yin, T Le, J Xue, UH Engelhardt and H Jiang. Kojic acid showed consistent inhibitory activity on tyrosinase from mushroom and in cultured B16F10 cells compared with Arbutins. Antioxidants 2022; 11(3), 502.

[50] E Neeley, G Fritch, A Fuller, J Wolfe, J Wright and W Flurkey. Variations in IC50 values with purity of mushroom tyrosinase. International Journal of Molecular Sciences 2008; 10(9), 3811-3823.

[51] B Deri, M Kanteev, M Goldfeder, D Lecina, V Guallar, N Adir and A Fishman. The unravelling of the complex pattern of tyrosinase inhibition. Scientific Reports 2016; 6, 34993.

[52] AD Petrillo, AM González-Paramás, B Era, R Medda, F Pintus, C Santos-Buelga and A Fais. Tyrosinase inhibition and antioxidant properties of Asphodelus microcarpus extracts. BMC Complementary Medicine and Therapies 2016; 16(1), 472.

[53] Y Wang, G Zhang, J Yan and D Gong. Inhibitory effect of morin on tyrosinase: Insights from spectroscopic and molecular docking studies. Food Chemistry 2014; 163, 226-233.

[54] NAN Gowda, C Gurikar, MB Anusha and S Gupta. Ultrasound-assisted and microwave-assisted extraction, GC-MS characterization and antimicrobial potential of freeze-dried L. camara flower. Journal of Pure and Applied Microbiology 2022; 16(1), 678-689.

[55] A Nisca, R Ștefănescu, C Moldovan, A Mocan, AD Mare, CN Ciurea, A Man, DL Muntean and C Tanase. Optimization of microwave assisted extraction conditions to improve phenolic content and in vitro antioxidant and anti-microbial activity in Quercus cerris bark extracts. Plants 2022; 11(3), 240.

[56] N Ibrahim and A Kebede. In vitro antibacterial activities of methanol and aqueous leave extracts of selected medicinal plants against human pathogenic bacteria. Saudi Journal of Biological Sciences 2016; 16(2), 629-639.

[57] W Chaisawangwong, T Juckmeta and D Juckmeta. Antibacterial activity of Vernonia cinerea (L.) less. leaf and flower crude extracts against clinical isolates. Thai Journal of Science and Technology 2021; 10(2), 150-159.

[58] FD Gonelimali, J Lin, W Miao, J Xuan, F Charles, M Chen and SR Hatab. Antimicrobial properties and mechanism of action of some plant extracts against food pathogens and spoilage microorganisms. Frontiers in Microbiology 2018; 9, 1639.

[59] R Mogana, A Adhikari, MN Tzar, R Ramliza and C Wiart. Antibacterial activities of the extracts, fractions and isolated compounds from Canarium patentinervium Miq. against bacterial clinical isolates. BMC Complementary Medicine and Therapies 2020; 20(1), 55.

[60] A Al-Mariri and M Safi. In vitro antibacterial activity of several plant extracts and oils against some gram-negative bacteria. Iranian Journal of Medical Sciences 2014; 39(1), 36-43.

[61] HA Hemeg, IM Moussa, S Ibrahim, TM Dawoud, JH Alhaji, AS Mubarak, SA Kabli, RA Alsubki, AM Tawfik and SA Marouf. Antimicrobial effect of different herbal plant extracts against different microbial population. Saudi Journal of Biological Sciences 2020; 27(12), 3221-3227.

[62] AA Mostafa, AA Al-Askar, KS Almaary, TM Dawoud, EN Sholkamy and MM Bakri. Antimicrobial activity of some plant extracts against bacterial strains causing food poisoning diseases. Saudi Journal of Biological Sciences 2017; 25(2), 361-366.

[63] A Klancnik, S Piskernik, B Jersek and SS Mozina. Evaluation of diffusion and dilution methods to determine the antibacterial activity of plant extracts. Journal of Microbiological Methods 2010; 81(2), 121-126.

[64] J Oracz, S Kowalski, D Żyżelewicz, G Kowalska, D Gumul, K Kulbat-Warycha, J Rosicka-Kaczmarek, A Brzozowska, A Grzegorczyk and A Areczuk. The influence of microwave-assisted extraction on the phenolic compound profile and biological activities of extracts from selected Scutellaria species. Molecules 2023; 28(9), 3877.

[65] Y Yuan, J Zhang, J Fan, J Clark, P Shen, Y Li and C Zhang. Microwave assisted extraction of phenolic compounds from four economic brown macroalgae species and evaluation of their antioxidant activities and inhibitory effects on α-amylase, α-glucosidase, pancreatic lipase and tyrosinase. Food Research International 2018; 113, 288-297.

[66] EE Maaiden, S Bouzroud, B Nasser, K Moustaid, K Moustaid, AE Mouttaqi, M Ibourki, H Boukcim and A Hirich. A Comparative study between conventional and advanced extraction techniques: Pharmaceutical and cosmetic properties of plant extracts. Molecules 2022; 27(7), 2074.

[67] L Mousavi, RM Salleh and V Murugaiyah. Antidiabetic and in vitro enzyme inhibition studies of methanol extract of Ocimum tenuiflorum Linn leaves and its fractions. Tropical Life Sciences Research 2020; 31(1), 141-158.

[68] A Bhatia, B Singh, R Arora and S Arora. In vitro evaluation of the α-glucosidase inhibitory potential of methanolic extracts of traditionally used antidiabetic plants. BMC Complementary and Alternative Medicine 2019; 19, 74.

[69] S Poovitha and M Parani. In vitro and in vivo α-amylase and α-glucosidase inhibiting activities of the protein extracts from two varieties of bitter gourd (Momordica charantia L.). BMC Complementary and Alternative Medicine 2016; 16, 185.

[70] TB Nguelefack, CK Fofie, EP Nguelefack-Mbuyo and AK Wuyt. Multimodal α-glucosidase and α-amylase inhibition and antioxidant effect of the aqueous and methanol extracts from the trunk bark of Ceiba pentandra. BioMed Research International 2020; 2020, 3063674.

[71] UF Magaji, O Sacan and R Yanardag. Alpha amylase, alpha glucosidase and glycation inhibitory activity of Moringa oleifera extracts. South African Journal of Botany 2020; 128, 225-230.

[72] MS Shah, MSH Talukder, AMK Uddin, MN Hasan, SAJ Sayem, G Mostafa-Hedeab, MM Rahman, R Sharma, AA Swelum, AAR Mohamed and TB Emran. Comparative assessment of three medicinal plants against diabetes and oxidative stress using experimental and computational approaches. Evidence-Based Complementary and Alternative Medicine 2023; 2023, 6022212.

[73] S Thengyai, P Thiantongin, C Sontimuang, C Ovatlarnporn and P Puttarak. α-Glucosidase and α-amylase inhibitory activities of medicinal plants in Thai antidiabetic recipes and bioactive compounds from Vitex glabrata R. Br. stem bark. Journal of Herbal Medicine 2020; 19(7), 100302.

[74] CH Jhong, J Riyaphan, SH Lin, YC Chia and CF Weng. Screening alpha-glucosidase and alpha-amylase inhibitors from natural compounds by molecular docking in silico. BioFactors 2015; 41(4), 242-251.

[75] R Attaallah, D Elfadil and A Amine. Screening study of enzymatic inhibition of medicinal plants for the treatment of diabetes using a glucometer biosensor approach and optical method. Journal of Herbal Medicine 2021; 28, 100441.

[76] S Kumar, S Narwal, V Kumar and O Prakash. α-glucosidase inhibitors from plants: A natural approach to treat diabetes. Pharmacognosy Reviews 2011; 5(9), 19-29.

[77] K Khadayat, BP Marasini, H Gautam, S Ghaju and N Parajuli. Evaluation of the alpha-amylase inhibitory activity of Nepalese medicinal plants used in the treatment of diabetes mellitus. Clinical Phytoscience 2020; 6, 34.