The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini)
Given their potential as natural substitutes for artificial additives and their health advantages, the extraction of bioactive substances like polyphenols from plant sources is becoming more and more significant. Nevertheless, it is still difficult to achieve effective extraction with minimal time a...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
|
| Series: | Ultrasonics Sonochemistry |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1350417725000069 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832575518727208960 |
|---|---|
| author | Mohammad Ganje Somayyeh Gharibi Fatemeh Nejatpour Maryam Deilamipour Kimia Goshadehrou Sahra Saberyan Gholamreza Abdi |
| author_facet | Mohammad Ganje Somayyeh Gharibi Fatemeh Nejatpour Maryam Deilamipour Kimia Goshadehrou Sahra Saberyan Gholamreza Abdi |
| author_sort | Mohammad Ganje |
| collection | DOAJ |
| description | Given their potential as natural substitutes for artificial additives and their health advantages, the extraction of bioactive substances like polyphenols from plant sources is becoming more and more significant. Nevertheless, it is still difficult to achieve effective extraction with minimal time and energy. In order to optimize polyphenol extraction from ripe jamun fruit pulp, including traditional and ultrasound-assisted methods, this study assessed the prediction power of response surface methodology (RSM) and adaptive neuro-fuzzy inference systems (ANFIS). It examined how temperature, process time, solvent type, and extraction method affected the yield of extracted polyphenols. Analysis of variance (ANOVA) indicated that solvent type (F-value = 292.15) was the most significant factor influencing polyphenol extraction. Numerical optimization identified optimal conditions for maximizing phenolic compound extraction: a process temperature of 45 °C, a duration of 65 min under ultrasound, using methanol as the solvent (desirability of 0.935 and a realization rate of 95 % of the maximum possible). Imposing minimum temperature and process time conditions will yield the same optimal process parameters as before, achieving 89 % of the maximum possible while significantly reducing the process time from 65 min to just 5 min (desirability 0.953). For each of the six process-solver conditions, optimal ANFIS models were determined by analyzing the number and type of input membership functions, the output membership function, and the selected optimization and defuzzification methods, based on the highest correlation between actual and predicted data, along with the lowest error rates. Statistical analysis confirmed the effectiveness of both RSM and ANFIS in modeling polyphenol extraction from ripe jamun fruit. Error indices demonstrated that ANFIS (R2 = 0.8490–0.9989) outperformed RSM (R2 = 0.9265) in predictive capability, underscoring the relative superiority of ANFIS. |
| format | Article |
| id | doaj-art-6938fac22389411fa5cc55af235c8480 |
| institution | Kabale University |
| issn | 1350-4177 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ultrasonics Sonochemistry |
| spelling | doaj-art-6938fac22389411fa5cc55af235c84802025-02-01T04:11:37ZengElsevierUltrasonics Sonochemistry1350-41772025-02-01113107227The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini)Mohammad Ganje0Somayyeh Gharibi1Fatemeh Nejatpour2Maryam Deilamipour3Kimia Goshadehrou4Sahra Saberyan5Gholamreza Abdi6Department of Agriculture, Minab Higher Education Center, University of Hormozgan, Bandar Abbas, Iran; Corresponding authors.Persian Gulf Marine Biotechnology Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, 75147, IranDepartment of Nutrition, Faculty of Health and Nutrition Sciences, Yasuj University of Medical Sciences, Yasuj, IranFaculty of Agriculture and Natural Resources, Khuzestan Science and Research Branch, Islamic Azad University, Ahvaz, IranDepartment of Nutrition, Faculty of Health and Nutrition Sciences, Yasuj University of Medical Sciences, Yasuj, IranDepartment of Microbiology, Faculty of Biological Sciences, Alzahra University, Tehran, IranDepartment of Biotechnology, Persian Gulf Research Institute, Persian Gulf University, Bushehr, Iran; Corresponding authors.Given their potential as natural substitutes for artificial additives and their health advantages, the extraction of bioactive substances like polyphenols from plant sources is becoming more and more significant. Nevertheless, it is still difficult to achieve effective extraction with minimal time and energy. In order to optimize polyphenol extraction from ripe jamun fruit pulp, including traditional and ultrasound-assisted methods, this study assessed the prediction power of response surface methodology (RSM) and adaptive neuro-fuzzy inference systems (ANFIS). It examined how temperature, process time, solvent type, and extraction method affected the yield of extracted polyphenols. Analysis of variance (ANOVA) indicated that solvent type (F-value = 292.15) was the most significant factor influencing polyphenol extraction. Numerical optimization identified optimal conditions for maximizing phenolic compound extraction: a process temperature of 45 °C, a duration of 65 min under ultrasound, using methanol as the solvent (desirability of 0.935 and a realization rate of 95 % of the maximum possible). Imposing minimum temperature and process time conditions will yield the same optimal process parameters as before, achieving 89 % of the maximum possible while significantly reducing the process time from 65 min to just 5 min (desirability 0.953). For each of the six process-solver conditions, optimal ANFIS models were determined by analyzing the number and type of input membership functions, the output membership function, and the selected optimization and defuzzification methods, based on the highest correlation between actual and predicted data, along with the lowest error rates. Statistical analysis confirmed the effectiveness of both RSM and ANFIS in modeling polyphenol extraction from ripe jamun fruit. Error indices demonstrated that ANFIS (R2 = 0.8490–0.9989) outperformed RSM (R2 = 0.9265) in predictive capability, underscoring the relative superiority of ANFIS.http://www.sciencedirect.com/science/article/pii/S1350417725000069Polyphenol extractionBotanic sourceOptimizationModellingUltrasound-assisted |
| spellingShingle | Mohammad Ganje Somayyeh Gharibi Fatemeh Nejatpour Maryam Deilamipour Kimia Goshadehrou Sahra Saberyan Gholamreza Abdi The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini) Ultrasonics Sonochemistry Polyphenol extraction Botanic source Optimization Modelling Ultrasound-assisted |
| title | The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini) |
| title_full | The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini) |
| title_fullStr | The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini) |
| title_full_unstemmed | The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini) |
| title_short | The ANFIS-RSM based multi-objective optimization and modelling of ultrasound-assisted extraction of polyphenols from jamun fruit (Syzygium cumini) |
| title_sort | anfis rsm based multi objective optimization and modelling of ultrasound assisted extraction of polyphenols from jamun fruit syzygium cumini |
| topic | Polyphenol extraction Botanic source Optimization Modelling Ultrasound-assisted |
| url | http://www.sciencedirect.com/science/article/pii/S1350417725000069 |
| work_keys_str_mv | AT mohammadganje theanfisrsmbasedmultiobjectiveoptimizationandmodellingofultrasoundassistedextractionofpolyphenolsfromjamunfruitsyzygiumcumini AT somayyehgharibi theanfisrsmbasedmultiobjectiveoptimizationandmodellingofultrasoundassistedextractionofpolyphenolsfromjamunfruitsyzygiumcumini AT fatemehnejatpour theanfisrsmbasedmultiobjectiveoptimizationandmodellingofultrasoundassistedextractionofpolyphenolsfromjamunfruitsyzygiumcumini AT maryamdeilamipour theanfisrsmbasedmultiobjectiveoptimizationandmodellingofultrasoundassistedextractionofpolyphenolsfromjamunfruitsyzygiumcumini AT kimiagoshadehrou theanfisrsmbasedmultiobjectiveoptimizationandmodellingofultrasoundassistedextractionofpolyphenolsfromjamunfruitsyzygiumcumini AT sahrasaberyan theanfisrsmbasedmultiobjectiveoptimizationandmodellingofultrasoundassistedextractionofpolyphenolsfromjamunfruitsyzygiumcumini AT gholamrezaabdi theanfisrsmbasedmultiobjectiveoptimizationandmodellingofultrasoundassistedextractionofpolyphenolsfromjamunfruitsyzygiumcumini AT mohammadganje anfisrsmbasedmultiobjectiveoptimizationandmodellingofultrasoundassistedextractionofpolyphenolsfromjamunfruitsyzygiumcumini AT somayyehgharibi anfisrsmbasedmultiobjectiveoptimizationandmodellingofultrasoundassistedextractionofpolyphenolsfromjamunfruitsyzygiumcumini AT fatemehnejatpour anfisrsmbasedmultiobjectiveoptimizationandmodellingofultrasoundassistedextractionofpolyphenolsfromjamunfruitsyzygiumcumini AT maryamdeilamipour anfisrsmbasedmultiobjectiveoptimizationandmodellingofultrasoundassistedextractionofpolyphenolsfromjamunfruitsyzygiumcumini AT kimiagoshadehrou anfisrsmbasedmultiobjectiveoptimizationandmodellingofultrasoundassistedextractionofpolyphenolsfromjamunfruitsyzygiumcumini AT sahrasaberyan anfisrsmbasedmultiobjectiveoptimizationandmodellingofultrasoundassistedextractionofpolyphenolsfromjamunfruitsyzygiumcumini AT gholamrezaabdi anfisrsmbasedmultiobjectiveoptimizationandmodellingofultrasoundassistedextractionofpolyphenolsfromjamunfruitsyzygiumcumini |