Optimized Extraction of Phenolic Compounds from Ficus exasperata Using Ultrasound and Maceration: A Comparative Kinetic Study


Lancine Traore1,2*, Kamagate Mahamadou1, Gnougon Nina Coulibaly1, Janat Akhanovna Mamyrbekova-Bekro2and Yves-Alain Bekro2

1UFR of Sciences and Technologies, University of Man, BP 20 Man, Côte d’Ivoire

2Laboratoire de Chimie Bio Organique et de Substances Naturelles, UFR-SFA, Université Nangui ABROGOUA, 02 bp 801 Abidjan 02, Côte d'Ivoire

Corresponding Author E-mail: lancine.traore@univ-man.edu.ci 

DOI : http://dx.doi.org/10.13005/ojc/410420

Download this article as:  PDF

ABSTRACT:

Ficus exasperata is a medicinal plant used in West Africa for managing inflammation, infections, and oxidative stress. However, its optimized extraction processes remain poorly studied. Conventional maceration (MAC) and ultrasound-assisted extraction (ULT) were compared for phenol and flavonoid recovery from F. exasperata leaves at solid-to-liquid ratios of 1/60, 1/80, and 1/120 g/mL. Extraction yields were measured over 35 minutes and fitted to a second-order kinetic model. ULT markedly increased yields, especially at 1/60 g/mL, achieving 351.5 mg GAE/g DM (phenolic compounds) and 8.88 mg QE/g DM (flavonoids). The model showed excellent fit (R² > 0.99) and indicated internal diffusion as the rate-limiting step. Higher kinetic constants under ULT confirmed its faster extraction rate. ULT outperformed MAC, making it a more efficient and sustainable green technology for producing antioxidant-rich extracts while enhancing the mechanistic understanding of plant-based solid–liquid extraction.

KEYWORDS:

Extraction kinetics; Ficus exasperata; Flavonoids; Green technology; Phenolic Compounds; Ultrasound-assisted extraction

Introduction

The growing interest in natural bioactive compounds has driven research towards plant sources of antioxidants, particularly polyphenols and flavonoids, due to their health-promoting properties 1,2. These compounds are widely recognized for their free-radical-scavenging, anti-inflammatory, and antimicrobial activities, making them valuable to the food, cosmetic, and pharmaceutical industries.3,4

Ficus exasperata, a member of the Moraceae family, is widely distributed across tropical Africa and traditionally used to treat ailments such as ulcers, inflammation, diarrhea, asthma, gastric pain, and hypertension 5. Its leaves are rich in phenolic compounds, which are responsible for its therapeutic effects 6. Despite this importance, systematic optimization of extraction conditions for these bioactive compounds remains limited.

Extraction efficiency depends on several parameters, including the extraction medium, temperature, processing time, and solid-to-liquid (S/L) ratio 7. Recently, eco-friendly techniques such as ultrasound-assisted extraction (ULT) have attracted attention as alternatives to conventional maceration, offering faster processing, reduced solvent use, and enhanced yields 8,9.

However, no comparative kinetic modeling studies have yet been performed for phenolic extraction from F. exasperata using different S/L ratios in maceration (MAC) and ultrasound-assisted extraction (ULT). It is expected that ULT will yield higher extraction rates and equilibrium concentrations than MAC under identical conditions.

This study was designed to

Compare the extraction yields of total phenolic compounds, including flavonoids, from F. exasperata leaves using MAC and ULT.

Evaluate the influence of three S/L ratios (1/60, 1/80, and 1/120 g/mL) on extraction efficiency.

Apply a second-order kinetic model to interpret the extraction dynamics and identify rate-limiting steps.

Material and Methods

Plant Material

Fresh leaves of Ficus exasperata were collected in Kassiapleu, Tonkpi region (7° 24′ N, 7° 33′ W), in December 2024. Botanical identification was confirmed by the National Floristic Center in Abidjan. The leaves were cleaned, air-dried in the shade under ambient conditions for seven days, and milled using a laboratory grinder. The resulting powder was stored in airtight containers at room temperature until extraction.

Chemicals

All reagents used in this study were of analytical grade. Gallic acid and quercetin standards (Sigma-Aldrich, Germany) were used for the quantification of total phenolic and flavonoid contents, respectively. The Folin–Ciocalteu reagent and aluminum chloride were employed for the colorimetric assays.

Extraction Procedures

Two extraction methods were evaluated: conventional maceration (MAC) and ultrasound-assisted extraction (ULT). Each extraction was performed using three solid-to-liquid (S/L) ratios : 1/60, 1/80, and 1/120 g/mL. For both techniques, a quantity of plant powder was mixed with the appropriate volume of 60% acetone solution.

For maceration (MAC), the mixtures were stirred continuously at 40 °C.

Ultrasound-assisted extraction (ULT) was performed using a GT SONIC ultrasonic cleaner, model PS-40 (240 W, AC 110/220 V) at 40°C.

Samples were collected every 5 minutes for 35 minutes. The extracts were subjected to centrifugation at 3000 rpm for 10 minutes, and the resulting supernatant was retrieved for the determination of phenolic and flavonoid contents. All extractions were performed in triplicate.

Determination of Total Phenolic Content

Total phenolic content (TPC) was determined using the Folin–Ciocalteu colorimetric method, following the protocol described by Singleton et al. 10, with minor modifications. Briefly, 100 µL of crude extract were mixed with 500 µL of 10% (w/v) Folin–Ciocalteu reagent. After 10 min of incubation at room temperature, 500 µL of saturated sodium carbonate (Na₂CO₃) solution were added, and the mixture was incubated for an additional 40 min in the dark. Absorbance was measured at 765 nm using a UV–Visible spectrophotometer (ONDA UV-30SCAN, China), with a reagent blank as reference. A standard calibration curve was prepared using gallic acid, and results were expressed as milligrams of gallic acid equivalents per gram of dry matter (mg GAE/g DM).

Determination of Total Flavonoid Content

Total flavonoid content (TFC) was determined using the aluminum chloride colorimetric method described by Galgano et al. 11, with minor modifications. Briefly, 2 mL of crude extract or quercetin standard solution (3.125–50 µg/mL) were mixed with 1 mL of 10% (w/v) aluminum chloride (AlCl₃) prepared in methanol. After 30 min of incubation at room temperature, absorbance was measured at 434 nm using a UV–Visible spectrophotometer (ONDA UV-30SCAN, China), with a blank as reference. A standard calibration curve was prepared using quercetin, and results were expressed as milligrams of quercetin equivalents per gram of dry matter (mg QE/g DM).

Kinetic Modeling of Total Phenol and Flavonoid Extraction Using a Second-Order Equation

To better understand the kinetic mechanisms governing the release of total phenols, including total flavonoids, from the leaves of Ficus exasperata, the extraction profiles were modeled using a second-order kinetic equation. This approach is consistent with previous studies demonstrating the relevance of second-order models for describing solid–liquid extraction dynamics (Lazar et al., 2016 ; Peng et al., 2023 ; Rodríguez-Fernández et al., 2023). The second-order kinetic model provided the best fit to the experimental data and offered a robust explanation of the mass transfer phenomena involved. The differential form of the model is expressed as Equation (1) :

Where Ct is the concentration (yield) at time t, CS is the equilibrium concentration, and k is the rate constant.

The model parameters CS and k were estimated by fitting the experimental data to the integrated form of the Equation (2) :

Nonlinear regression was performed in RStudio (version 2024.12.1+563), minimizing the sum of squared residuals between observed and predicted values. The goodness of fit between experimental and predicted data was evaluated using the coefficient of determination (R²) and the root mean square error (RMSE), calculated according to Equations (3) and (4).

Statistical Analysis

All statistical analyses were performed using RStudio software (version 2024.12.1+563). Data are expressed as mean ± standard deviation from three independent replicates. A 95% confidence level (p < 0.05) was applied for all statistical tests. Differences among means were assessed using one-way analysis of variance (ANOVA), and significant differences were determined using Tukey’s post-hoc test. Scatter plots with regression curves were generated to visualize the kinetic modeling fits, while boxplots were used to compare extraction yields between treatments. Boxplots display medians, interquartile ranges, whiskers, and potential outliers unless otherwise specified.

Results and Discussion

Kinetics and Comparative Analysis of Phenolic Compound Extraction

The evolution of phenolic compound yields over time (Figure 1) showed a rapid increase during the first 20 minutes, followed by a slower phase and stabilization, indicating saturation. This pattern was well described by a pseudo-second-order kinetic model, confirming that internal diffusion within the plant matrix is the rate-limiting step, as previously reported.12,15

Model parameters (Table 1) displayed excellent agreement between experimental and theoretical values (R² > 0.99; RMSE < 10), validating the model’s suitability. Ultrasound-assisted extraction (ULT) consistently achieved higher equilibrium yields (CS​) and rate constants (k) than maceration (MAC). At a 1/60 g/mL solid/liquid ratio, ULT reached 351.5 mg GAE/g DM versus 303.5 mg GAE/g DM for MAC, with k values of 0.0024 and 0.0021 g DM·mg GAE⁻¹·min⁻¹, respectively. These gains resulted from cavitation-induced cell wall disruption, which enhanced solvent penetration and solute desorption.16

Boxplots (Figure 2) confirmed these trends, with higher medians and narrower interquartile ranges (IQR) for ULT, reflecting greater reproducibility, especially at 1/80 and 1/120 g/mL. A few outliers in MAC suggest lower process control due to slower mass transfer and possible degradation. Yield declined with dilution from 1/60 to 1/120 g/mL, consistent with earlier reports17 that higher solvent volumes reduce solute–solvent interactions and increase losses through oxidation or adsorption. ULT mitigated this effect through improved mixing and penetration.18

Figure 1: Comparison of experimental and modeled phenolic compound extraction kinetics from F. exasperata at different solid-to-liquid (S/L) ratios using maceration (MAC) and ultrasound-assisted extraction (ULT). 

Click here to View Figure

Table 1: Kinetic parameters and equilibrium concentrations for phenolic compound extraction from F. exasperata leaves using maceration (MAC) and ultrasound-assisted extraction (ULT) at different solid-to-liquid (S/L) ratios. Yields are expressed as milligrams of gallic acid equivalents per gram of dry matter (mg GAE/g DM)

Method

S/L ratio

(g/mL)

Theoretical Cs

(mg GAE/g DM)

k

(g DM.mg GAE-1.min-1)

Experimental Cs

(mg GAE/g DM)

RMSE

R2

MAC

1/60

316.6

1.656 10-3

303.6

5.685

0.996

ULT

1/60

355.0

2.373 10-3

351.5

7.870

0.995

MAC

1/80

249.8

2.762 10-3

242.6

8.389

0.995

ULT

1/80

279.8

3.400 10-3

276.7

5.347

0.996

MAC

1/120

195.7

2.741 10-3

190.6

3.102

0.997

ULT

1/120

226.5

8.583 10-3

235.7

9.030

0.984

Figure 2: Comparison of phenolic compound extraction yields obtained by maceration (MAC) and ultrasound-assisted extraction (ULT) at three solid-to-liquid (S/L) ratios (1/60, 1/80, and 1/120 g/mL).

Click here to View Figure

Kinetics and Comparative Analysis of Flavonoid Extraction

Flavonoid extraction kinetics (Figure 3) exhibited a biphasic profile: a rapid uptake in the first 20 minutes, then a plateau at 30–35 minutes, characteristic of internal diffusion-controlled processes 19,20. The pseudo-second-order model fitted the data well (R² > 0.99; low RMSE; Table 2), confirming that internal mass transfer limits the extraction, in agreement with previous observations 21,22.

At 1/60 g/mL, ULT achieved CS​ = 9.18 mg QE/g DM versus 6.61 mg QE/g DM for MAC, with k = 0.08276 and 0.07158 g DM·mg QE⁻¹·min⁻¹, respectively. The performance boost is attributed to ultrasound cavitation, which disrupts cell structures, increases solvent penetration, and accelerates solute release 23,24.

Dilution from 1/60 to 1/120 g/mL decreased both CS and k, reflecting lower biomass concentration, weaker solute gradients, and increased solvent viscosity—all factors that slow diffusion 25,26. Similar dilution effects were observed during flavonoid recovery from Flos Sophorae with infrared-assisted extraction 27.

Boxplots (Figure 4) further illustrated ULT’s advantage: at 1/60 g/mL, median yield was 8.88 mg QE/g DM for ULT and 6.12 mg QE/g DM for MAC, with narrower IQRs under ULT, indicating higher reproducibility. Minimal outliers under ULT contrast with MAC at 1/120 g/mL, where variability increased. Comparable patterns were reported for ultrasound-assisted deep eutectic solvent extraction from Flos Sophorae Immaturus 28. Slightly higher dispersion in some ULT conditions may reflect sensitivity to acoustic intensity or sample positioning 29.

Overall, this study confirms that kinetic modeling not only quantifies performance differences between ULT and MAC but also substantiates that internal diffusion limits the extraction of phenolic compounds and flavonoids from Ficus exasperata. ULT consistently overcomes these limitations through enhanced mass transfer, even under less favorable solid/liquid ratios.

Figure 3: Comparison of experimental and modeled flavonoid extraction kinetics from F. exasperata at different solid-to-liquid (S/L) ratios using maceration (MAC) and ultrasound-assisted extraction (ULT).

Click here to View Figure

Table 2: Kinetic parameters and equilibrium concentrations for flavonoid extraction from F. exasperata leaves using maceration (MAC) and ultrasound-assisted extraction (ULT) at different solid-to-liquid (S/L) ratios. Yields are expressed as milligrams of quercetin equivalents per gram of dry matter (mg QE/g DM).

Method

S/L Ratio

(g/mL)

Theoretical CS

(mg QE/g DM)

k

(g DM∙mg QE-1.min-1)

Experimental CS

(mg QE/g DM)

RMSE

R2

MAC

1/60

6.61

7.300 10-2

6.21

0.104

0.997

ULT

1/60

9.18

8.276 10-2

8.88

0.048

0.999

MAC

1/80

5.51

5.288 10-2

5.07

0.120

0.994

ULT

1/80

6.93

6.188 10-2

6.49

0.076

0.998

MAC

1/120

3.78

4.743 10-2

3.29

0.094

0.991

ULT

1/120

5.35

5.624 10-2

4.94

0.086

0.996

Figure 4: Comparison of flavonoid extraction yields obtained by maceration (MAC) and ultrasound-assisted extraction (ULT) at three solid-to-liquid (S/L) ratios (1/60, 1/80, and 1/120 g/mL).

Click here to View Figure

Conclusion and Perspectives

This study confirmed the superiority of ultrasound-assisted extraction (ULT) over conventional maceration (MAC) for recovering phenolic compounds, including flavonoids, from Ficus exasperata leaves. Both extraction rate (k) and maximum yield (CS​) were enhanced under ULT, with the highest values (351.5 mg GAE/g DM for phenolic compounds and 8.88 mg QE/g DM for flavonoids) obtained at a 1/60 g/mL solid-to-liquid ratio.

Beyond these results, the findings highlight ULT as a green, energy-efficient, and cost-effective technique, with potential to reduce solvent consumption and processing time, thereby lowering environmental impact while improving industrial productivity. The valorization of F. exasperata, a plant long used in African ethnomedicine, offers promising opportunities for applications in nutraceuticals, functional foods, and pharmaceutical formulations.

Future work should focus on optimizing ultrasound parameters such as frequency, power, and extraction time; extending the approach to other medicinal or aromatic plant matrices; and evaluating the antioxidant and therapeutic bioactivity of the obtained extracts to confirm their functional potential in real-world applications.

Acknowledgement

The authors express their sincere gratitude to the central analytical laboratory of the university of man (lca-u-man), as well as to the department of chemistry, for their technical and administrative support throughout this study. We also thank the Members of the research team for their valuable assistance during the experimental work.

Funding Sources

The author(s) received no financial support for the research, authorship, and/or publication of this article.

Conflict of Interest

The author(s) do not have any conflict of interest.

References

  1. Intharuksa, A.; Kuljarusnont, S.; Sasaki, Y.; Tungmunnithum, D. Flavonoids and Other Polyphenols: Bioactive Molecules from Traditional Medicine Recipes/Medicinal Plants and Their Potential for Phytopharmaceutical and Medical Application. Molecules 2024, 29(23), 5760. https://doi.org/10.3390/molecules29235760.
    CrossRef
  2. Rezagholizade-shirvan, A.; Soltani, M.; Shokri, S.; Radfar, R.; Arab, M.; Shamloo, E. Bioactive Compound Encapsulation: Characteristics, Applications in Food Systems, and Implications for Human Health. Food Chem. X 2024, 24, 101953. https://doi.org/10.1016/j.fochx.2024.101953.
    CrossRef
  3. Singh, H.; Kumar, S.; Arya, A. Evaluation of Antibacterial, Antioxidant, and Anti-Inflammatory Properties of GC/MS Analysis of Extracts of Ajuga integrifolia-Ham. Leaves. Sci. Rep. 2024, 14(1), 1–13. https://doi.org/10.1038/s41598-024-67133-3.
    CrossRef
  4. Sun, S.; Liu, Z.; Lin, M.; Gao, N.; Wang, X. Polyphenols in Health and Food Processing: Antibacterial, Anti-Inflammatory, and Antioxidant Insights. Nutr. 2024, 11, 1456730. https://doi.org/10.3389/fnut.2024.1456730.
    CrossRef
  5. Hasnat, H.; Alam, S.; Akter Shompa, S.; Saha, T.; Richi, F. T.; Hossain, M. H.; Zaman, A.; Zeng, C.; Shao, C.; Wang, S.; Geng, P.; Al Mamun, A. Phyto-Pharmacological Wonders of Genus Ficus: Ethnopharmacological Insights and Phytochemical Treasures from Natural Products. Saudi Pharm. J. 2024, 32(12), 102211. https://doi.org/10.1016/j.jsps.2024.102211.
    CrossRef
  6. Popwo Tameye, S. C.; Djamen Mbeunkeu, A. B.; Fouokeng, Y.; Jouwa Tameye, N. S.; Tabekoueng, G. B.; Wansi, J. D.; Sewald, N.; Ndom, J. C.; Azebaze, A. G. B. Ficusanolide A and Ficusanolide B, Two New Cinnamic Acid Derivative Stereoisomers and Other Constituents of the Stem Barks of Ficus exasperata (Moraceae). Phytochem. Lett. 2021, 43, 150–153. https://doi.org/10.1016/j.phytol.2021.03.027.
    CrossRef
  7. Cendrowski, A.; Studnicki, M.; Kalisz, S. Impact of Different Solvents and Temperatures on the Extraction of Bioactive Compounds from Rose Fruits (Rosa rugosa) Pomace. Sci. 2024, 14(2), 691. https://doi.org/10.3390/app14020691.
    CrossRef
  8. Hiranpradith, V.; Therdthai, N.; Soontrunnarudrungsri, A.; Rungsuriyawiboon, O. Optimisation of Ultrasound-Assisted Extraction of Total Phenolics and Flavonoids Content from Centella asiatica. Foods 2025, 14(2), 291. https://doi.org/10.3390/foods14020291.
    CrossRef
  9. Elmas, E.; Şen, F. B.; Kublay, İ. Z.; Baş, Y.; Tüfekci, F.; Derman, H.; Bekdeşer, B.; Aşçı, Y. S.; Capanoglu, E.; Bener, M.; Apak, R. Green Extraction of Antioxidants from Hazelnut By-Products Using Microwave-Assisted Extraction, Ultrasound-Assisted Extraction, and Pressurized Liquid Extraction. Food Bioproc. Technol. 2025, 18(6), 5388–5406. https://doi.org/10.1007/s11947-025-03775-z.
    CrossRef
  10. Singleton, V. L.; Rossi, J. A. Colorimetry of Total Phenolics with Phosphomolybdic–Phosphotungstic Acid Reagents. J. Enol. Vitic. 1965, 16(3), 144–158. https://doi.org/10.5344/ajev.1965.16.3.144.
    CrossRef
  11. Galgano, F.; Tolve, R.; Scarpa, T.; Caruso, M. C.; Lucini, L.; Senizza, B.; Condelli, N. Extraction Kinetics of Total Polyphenols, Flavonoids, and Condensed Tannins of Lentil Seed Coat: Comparison of Solvent and Extraction Methods. Foods 2021, 10(8), 1810. https://doi.org/10.3390/foods10081810.
    CrossRef
  12. Lazar, L.; Talmaciu, A. I.; Volf, I.; Popa, V. I. Kinetic Modeling of the Ultrasound-Assisted Extraction of Polyphenols from Picea abies Ultrason. Sonochem. 2016, 32, 191–197. https://doi.org/10.1016/j.ultsonch.2016.03.009.
    CrossRef
  13. Peng, S.; Zhu, M.; Li, S.; Ma, X.; Hu, F. Ultrasound-Assisted Extraction of Polyphenols from Chinese Propolis. Sustain. Food Syst. 2023, 7, 1131959. https://doi.org/10.3389/fsufs.2023.1131959.
    CrossRef
  14. Rodríguez-Fernández, R.; Fernández-Gómez, Á.; Mejuto, J. C.; Astray, G. Modelling Polyphenol Extraction through Ultrasound-Assisted Extraction by Machine Learning in Olea europaea Foods 2023, 12(24), 4483. https://doi.org/10.3390/foods12244483.
    CrossRef
  15. Patil, D. M.; Akamanchi, K. G. Ultrasound-Assisted Rapid Extraction and Kinetic Modelling of Influential Factors: Extraction of Camptothecin from Nothapodytes nimmoniana Ultrason. Sonochem. 2017, 37, 582–591. https://doi.org/10.1016/j.ultsonch.2017.02.015.
    CrossRef
  16. Liu, Y.; Liu, X.; Cui, Y.; Yuan, W. Ultrasound for Microalgal Cell Disruption and Product Extraction: A Review. Sonochem. 2022, 87, 106054. https://doi.org/10.1016/j.ultsonch.2022.106054.
    CrossRef
  17. Khoddami, A.; Wilkes, M. A.; Roberts, T. H. Techniques for Analysis of Plant Phenolic Compounds. Molecules 2013, 18(2), 2328. https://doi.org/10.3390/molecules18022328.
    CrossRef
  18. Al-Farsi, M. A.; Lee, C. Y. Nutritional and Functional Properties of Dates: A Review. Rev. Food Sci. Nutr. 2008, 48(10), 877–887. https://doi.org/10.1080/10408390701724264.
    CrossRef
  19. Taweekayujan, S.; Somngam, S.; Pinnarat, T. Optimization and Kinetics Modeling of Phenolics Extraction from Coffee Silverskin in Deep Eutectic Solvent Using Ultrasound-Assisted Extraction. Heliyon 2023, 9(7), e17942. https://doi.org/10.1016/j.heliyon.2023.e17942.
    CrossRef
  20. Tirpanci Sivri, G. Mathematical Modeling of Extraction Kinetics from Black Chokeberries Enhanced by Cold Plasma Pretreatment. LWT 2024, 202, 116297. https://doi.org/10.1016/j.lwt.2024.116297.
    CrossRef
  21. Hou, M.; Hu, W.; Xiu, Z.; Jiang, A.; Men, L.; Hao, K.; Sun, X.; Cao, D. Preparative Purification of Total Flavonoids from Sophora tonkinensis by Macroporous Resin Column Chromatography and Comparative Analysis of Flavonoid Profiles by HPLC-PAD. Molecules 2019, 24(17), 3200. https://doi.org/10.3390/molecules24173200.
    CrossRef
  22. Vo, T. P.; Phan, T. H.; Doan Luu, N. T.; Tran, T. B. X.; Pham, N. Q.; Ho, T. A. T.; Ha, N. M. H.; Nguyen, M. T.; Nguyen, D. Q. Optimization of Ultrasonic-Assisted Extraction of Phenolics and Terpenoids from Sweet Basil Leaves Using Natural Deep Eutectic Solvents. J. Chem. Eng. 2024, 2024(1), 5199884. https://doi.org/10.1155/2024/5199884.
    CrossRef
  23. Ali, M. C.; Chen, J.; Zhang, H.; Li, Z.; Zhao, L.; Qiu, H. Effective Extraction of Flavonoids from Lycium barbarum Fruits by Deep Eutectic Solvents-Based Ultrasound-Assisted Extraction. Talanta 2019, 203, 16–22. https://doi.org/10.1016/j.talanta.2019.05.012.
    CrossRef
  24. Bi, Y.; Luo, S.; Ni, J.; Miao, S.; Ning, Z.; Zhang, Z.; Xu, S.; Tian, W.; Peng, W.; Fang, X. Effect of Ultrasonic Treatment on the Microstructure, Antioxidant Activities and Metabolites of Camellia Bee Pollen. Sonochem. 2025, 118, 107359. https://doi.org/10.1016/j.ultsonch.2025.107359.
    CrossRef
  25. Lima, R. C.; Carvalho, A. P. A.; da Silva, B. D.; Torres Neto, L.; de Figueiredo, M. R. S.; Chaves, P. H. T.; de Almeida, A. E. C. C.; Conte-Junior, C. A. Green Ultrasound-Assisted Extraction of Bioactive Compounds of Babassu (Attalea speciosa) Mesocarp: Effects of Solid–Liquid Ratio Extraction, Antioxidant Capacity, and Antimicrobial Activity. Food Res. 2023, 3(2), 100331. https://doi.org/10.1016/j.afres.2023.100331.
    CrossRef
  26. Wang, W.; Ma, X.; Xu, Y.; Cao, Y.; Jiang, Z.; Ding, T.; Ye, X.; Liu, D. Ultrasound-Assisted Heating Extraction of Pectin from Grapefruit Peel: Optimization and Comparison with the Conventional Method. Food Chem. 2015, 178, 106–114. https://doi.org/10.1016/j.foodchem.2015.01.080.
    CrossRef
  27. Mou, Q.; He, J.; Yin, R.; Yang, B.; Fu, M.; Fang, J.; Li, H. Response Surface Optimized Infrared-Assisted Extraction and UHPLC Determination of Flavonoid Types from Flos Sophorae. Molecules 2017, 22(6), 1000. https://doi.org/10.3390/molecules22061000.
    CrossRef
  28. Zhang, Y.; Zhang, Z.; Zhang, Y. High-Efficiency Extraction of Flavonoids from Flos Sophorae Immaturus Using Ultrasound-Assisted Deep Eutectic Solvent: Optimization and Antioxidant Activity. Preprints 2024. https://doi.org/10.20944/preprints202408.0233.v1.
    CrossRef
  29. Vela, A. J.; Villanueva, M.; Ronda, F. Ultrasonication: An Efficient Alternative for the Physical Modification of Starches, Flours and Grains. Foods 2024, 13(15), 2325. https://doi.org/10.3390/foods13152325.
    CrossRef

Article Metrics
Views PlumX: 
Views Views:  641 Views
PDF Downloads PDF Downloads:  640

Article Publishing History
Received on: 05 Jul 2025
Accepted on: 18 Aug 2025

Article Review Details
Reviewed by: Dr. Rashim Mohhamad
Second Review by: Dr. Amit Pandey
Final Approval by: Dr. Tanay Pramanik


Share


Journal is Indexed in

Cabells Whitelist


Journal Archived in: