Loading…
Ultrasound assisted phytochemical extraction of persimmon fruit peel: Integrating ANN modeling and genetic algorithm optimization
[Display omitted] •Persimmons' orange and red hues come from beta-carotene pigments.•Persimmons peel phytocompound extraction was modeled using ANFIS.•Effective diffusion coefficient at 30 °C extraction temperature was 3.187×10-11.•Negative Gibbs free energy changes indicated thermodynamically...
Saved in:
Published in: | Ultrasonics sonochemistry 2024-01, Vol.102, p.106759, Article 106759 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c538t-5bb8907dc97739a16e5f3fe30fc77e2a8e4fd04b3f88dd588ab4ac737d4a6723 |
---|---|
cites | cdi_FETCH-LOGICAL-c538t-5bb8907dc97739a16e5f3fe30fc77e2a8e4fd04b3f88dd588ab4ac737d4a6723 |
container_end_page | |
container_issue | |
container_start_page | 106759 |
container_title | Ultrasonics sonochemistry |
container_volume | 102 |
creator | Giri, Souvik Kshirod Kumar Dash Bhagya Raj, GVS Kovács, Béla Ayaz Mukarram, Shaikh |
description | [Display omitted]
•Persimmons' orange and red hues come from beta-carotene pigments.•Persimmons peel phytocompound extraction was modeled using ANFIS.•Effective diffusion coefficient at 30 °C extraction temperature was 3.187×10-11.•Negative Gibbs free energy changes indicated thermodynamically spontaneous extraction.
In the present study, ultrasound assisted extraction (UAE) of phytochemicals from persimmon fruit peel (PFP) was modeled using an artificial neural network (ANN) and optimized by integrating with genetic algorithm (GA). The range of process parameters selected for conducting the experiments was ultrasonication power (XU) 150–––350 W, extraction temperatures (XT) 30–––70 °C, solid to solvent ratio (XS) 1:15–––1:35 g/ml, and ethanol concentration (XC) 40–––80 %. The range of responses total phenolic content (YP), antioxidant activity (YA), total beta carotenoid (YB) and total flavonoid content (YF) at various independent variables combinations were found to be 7.72–––24.62 mg GAE/g d.w., 51.44–––85.58 %DPPH inhibition, 24.78–––56.56 µg/g d.w. and 0.29–––1.97 mg QE/g d.w. respectively. The modelling utilised an ANN architecture with a configuration of 4–12-4. The training process employed the Levenberg–Marquardt method, whereas the activation function chosen for the layers was the log sigmoid. The optimum condition predicted by the hybrid ANN-GA model for the independent variables, XU, XT, XS and XC was found to be 230.18 W, 50.66 °C, 28.27 g/ml, and 62.75 % respectively. The extraction process was carried out for 25 min, with 5-minute intervals, at various temperatures between 30 and 60 °C, to investigate the kinetic and thermodynamic characteristics of the process, under the optimal conditions of XU, XS and XC. The UAE of phytochemicals from persimmon peel followed pseudo second order kinetic model and the extraction process was endothermic in nature. |
doi_str_mv | 10.1016/j.ultsonch.2024.106759 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_f7300a7dbd1148f4a7c2e300e9841eff</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1350417724000075</els_id><doaj_id>oai_doaj_org_article_f7300a7dbd1148f4a7c2e300e9841eff</doaj_id><sourcerecordid>2919744455</sourcerecordid><originalsourceid>FETCH-LOGICAL-c538t-5bb8907dc97739a16e5f3fe30fc77e2a8e4fd04b3f88dd588ab4ac737d4a6723</originalsourceid><addsrcrecordid>eNqFkk1v1DAQhiMEoqXwF6ocuezir8QOF6gqPlaqyqWcLcceJ1458WI7FeXGP8dL2oqeONkzfueZ0eupqnOMthjh9t1-u_icwqzHLUGElWTLm-5ZdYoFpxsiiHhe7rRBG4Y5P6lepbRHCNGOoJfVCRUEY9ax0-r3d5-jSmGZTa1ScimDqQ_jXQ56hMlp5Wv4WRQ6uzDXwdYHiMlNUwlsXFwuMfj39W7OMESV3TzUF9fX9RQM-GOgCneAGbLTtfJDiC6PUx0O2U3ulzpCX1cvrPIJ3tyfZ9XN5083l183V9--7C4vrja6oSJvmr4XHeJGd5zTTuEWGkstUGQ150CUAGYNYj21QhjTCKF6pjSn3DDVckLPqt2KNUHt5SG6ScU7GZSTfxMhDlLFMqUHaTlFSHHTm2KSsExxTUojBJ1gGKwtrA8r67D0ExgNc3HIP4E-fZndKIdwKzESpKEUFcLbe0IMPxZIWU4uafBezRCWJEmHO84Ya5oibVepjiGlCPaxD0byuAtyLx92QR53Qa67UArP_53ysezh84vg4yqAYvutgyiTdjBrMC6CzsUY978efwADL84k</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2919744455</pqid></control><display><type>article</type><title>Ultrasound assisted phytochemical extraction of persimmon fruit peel: Integrating ANN modeling and genetic algorithm optimization</title><source>ScienceDirect Freedom Collection</source><source>PubMed Central</source><creator>Giri, Souvik ; Kshirod Kumar Dash ; Bhagya Raj, GVS ; Kovács, Béla ; Ayaz Mukarram, Shaikh</creator><creatorcontrib>Giri, Souvik ; Kshirod Kumar Dash ; Bhagya Raj, GVS ; Kovács, Béla ; Ayaz Mukarram, Shaikh</creatorcontrib><description>[Display omitted]
•Persimmons' orange and red hues come from beta-carotene pigments.•Persimmons peel phytocompound extraction was modeled using ANFIS.•Effective diffusion coefficient at 30 °C extraction temperature was 3.187×10-11.•Negative Gibbs free energy changes indicated thermodynamically spontaneous extraction.
In the present study, ultrasound assisted extraction (UAE) of phytochemicals from persimmon fruit peel (PFP) was modeled using an artificial neural network (ANN) and optimized by integrating with genetic algorithm (GA). The range of process parameters selected for conducting the experiments was ultrasonication power (XU) 150–––350 W, extraction temperatures (XT) 30–––70 °C, solid to solvent ratio (XS) 1:15–––1:35 g/ml, and ethanol concentration (XC) 40–––80 %. The range of responses total phenolic content (YP), antioxidant activity (YA), total beta carotenoid (YB) and total flavonoid content (YF) at various independent variables combinations were found to be 7.72–––24.62 mg GAE/g d.w., 51.44–––85.58 %DPPH inhibition, 24.78–––56.56 µg/g d.w. and 0.29–––1.97 mg QE/g d.w. respectively. The modelling utilised an ANN architecture with a configuration of 4–12-4. The training process employed the Levenberg–Marquardt method, whereas the activation function chosen for the layers was the log sigmoid. The optimum condition predicted by the hybrid ANN-GA model for the independent variables, XU, XT, XS and XC was found to be 230.18 W, 50.66 °C, 28.27 g/ml, and 62.75 % respectively. The extraction process was carried out for 25 min, with 5-minute intervals, at various temperatures between 30 and 60 °C, to investigate the kinetic and thermodynamic characteristics of the process, under the optimal conditions of XU, XS and XC. The UAE of phytochemicals from persimmon peel followed pseudo second order kinetic model and the extraction process was endothermic in nature.</description><identifier>ISSN: 1350-4177</identifier><identifier>ISSN: 1873-2828</identifier><identifier>EISSN: 1873-2828</identifier><identifier>DOI: 10.1016/j.ultsonch.2024.106759</identifier><identifier>PMID: 38211494</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Artificial neural network ; Kinetics ; Original ; Persimmon peel ; Ultrasonication</subject><ispartof>Ultrasonics sonochemistry, 2024-01, Vol.102, p.106759, Article 106759</ispartof><rights>2024 The Authors</rights><rights>Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.</rights><rights>2024 The Authors 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c538t-5bb8907dc97739a16e5f3fe30fc77e2a8e4fd04b3f88dd588ab4ac737d4a6723</citedby><cites>FETCH-LOGICAL-c538t-5bb8907dc97739a16e5f3fe30fc77e2a8e4fd04b3f88dd588ab4ac737d4a6723</cites><orcidid>0000-0002-6439-4753</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10825330/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10825330/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38211494$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Giri, Souvik</creatorcontrib><creatorcontrib>Kshirod Kumar Dash</creatorcontrib><creatorcontrib>Bhagya Raj, GVS</creatorcontrib><creatorcontrib>Kovács, Béla</creatorcontrib><creatorcontrib>Ayaz Mukarram, Shaikh</creatorcontrib><title>Ultrasound assisted phytochemical extraction of persimmon fruit peel: Integrating ANN modeling and genetic algorithm optimization</title><title>Ultrasonics sonochemistry</title><addtitle>Ultrason Sonochem</addtitle><description>[Display omitted]
•Persimmons' orange and red hues come from beta-carotene pigments.•Persimmons peel phytocompound extraction was modeled using ANFIS.•Effective diffusion coefficient at 30 °C extraction temperature was 3.187×10-11.•Negative Gibbs free energy changes indicated thermodynamically spontaneous extraction.
In the present study, ultrasound assisted extraction (UAE) of phytochemicals from persimmon fruit peel (PFP) was modeled using an artificial neural network (ANN) and optimized by integrating with genetic algorithm (GA). The range of process parameters selected for conducting the experiments was ultrasonication power (XU) 150–––350 W, extraction temperatures (XT) 30–––70 °C, solid to solvent ratio (XS) 1:15–––1:35 g/ml, and ethanol concentration (XC) 40–––80 %. The range of responses total phenolic content (YP), antioxidant activity (YA), total beta carotenoid (YB) and total flavonoid content (YF) at various independent variables combinations were found to be 7.72–––24.62 mg GAE/g d.w., 51.44–––85.58 %DPPH inhibition, 24.78–––56.56 µg/g d.w. and 0.29–––1.97 mg QE/g d.w. respectively. The modelling utilised an ANN architecture with a configuration of 4–12-4. The training process employed the Levenberg–Marquardt method, whereas the activation function chosen for the layers was the log sigmoid. The optimum condition predicted by the hybrid ANN-GA model for the independent variables, XU, XT, XS and XC was found to be 230.18 W, 50.66 °C, 28.27 g/ml, and 62.75 % respectively. The extraction process was carried out for 25 min, with 5-minute intervals, at various temperatures between 30 and 60 °C, to investigate the kinetic and thermodynamic characteristics of the process, under the optimal conditions of XU, XS and XC. The UAE of phytochemicals from persimmon peel followed pseudo second order kinetic model and the extraction process was endothermic in nature.</description><subject>Artificial neural network</subject><subject>Kinetics</subject><subject>Original</subject><subject>Persimmon peel</subject><subject>Ultrasonication</subject><issn>1350-4177</issn><issn>1873-2828</issn><issn>1873-2828</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNqFkk1v1DAQhiMEoqXwF6ocuezir8QOF6gqPlaqyqWcLcceJ1458WI7FeXGP8dL2oqeONkzfueZ0eupqnOMthjh9t1-u_icwqzHLUGElWTLm-5ZdYoFpxsiiHhe7rRBG4Y5P6lepbRHCNGOoJfVCRUEY9ax0-r3d5-jSmGZTa1ScimDqQ_jXQ56hMlp5Wv4WRQ6uzDXwdYHiMlNUwlsXFwuMfj39W7OMESV3TzUF9fX9RQM-GOgCneAGbLTtfJDiC6PUx0O2U3ulzpCX1cvrPIJ3tyfZ9XN5083l183V9--7C4vrja6oSJvmr4XHeJGd5zTTuEWGkstUGQ150CUAGYNYj21QhjTCKF6pjSn3DDVckLPqt2KNUHt5SG6ScU7GZSTfxMhDlLFMqUHaTlFSHHTm2KSsExxTUojBJ1gGKwtrA8r67D0ExgNc3HIP4E-fZndKIdwKzESpKEUFcLbe0IMPxZIWU4uafBezRCWJEmHO84Ya5oibVepjiGlCPaxD0byuAtyLx92QR53Qa67UArP_53ysezh84vg4yqAYvutgyiTdjBrMC6CzsUY978efwADL84k</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Giri, Souvik</creator><creator>Kshirod Kumar Dash</creator><creator>Bhagya Raj, GVS</creator><creator>Kovács, Béla</creator><creator>Ayaz Mukarram, Shaikh</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6439-4753</orcidid></search><sort><creationdate>20240101</creationdate><title>Ultrasound assisted phytochemical extraction of persimmon fruit peel: Integrating ANN modeling and genetic algorithm optimization</title><author>Giri, Souvik ; Kshirod Kumar Dash ; Bhagya Raj, GVS ; Kovács, Béla ; Ayaz Mukarram, Shaikh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c538t-5bb8907dc97739a16e5f3fe30fc77e2a8e4fd04b3f88dd588ab4ac737d4a6723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Artificial neural network</topic><topic>Kinetics</topic><topic>Original</topic><topic>Persimmon peel</topic><topic>Ultrasonication</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Giri, Souvik</creatorcontrib><creatorcontrib>Kshirod Kumar Dash</creatorcontrib><creatorcontrib>Bhagya Raj, GVS</creatorcontrib><creatorcontrib>Kovács, Béla</creatorcontrib><creatorcontrib>Ayaz Mukarram, Shaikh</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Ultrasonics sonochemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Giri, Souvik</au><au>Kshirod Kumar Dash</au><au>Bhagya Raj, GVS</au><au>Kovács, Béla</au><au>Ayaz Mukarram, Shaikh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ultrasound assisted phytochemical extraction of persimmon fruit peel: Integrating ANN modeling and genetic algorithm optimization</atitle><jtitle>Ultrasonics sonochemistry</jtitle><addtitle>Ultrason Sonochem</addtitle><date>2024-01-01</date><risdate>2024</risdate><volume>102</volume><spage>106759</spage><pages>106759-</pages><artnum>106759</artnum><issn>1350-4177</issn><issn>1873-2828</issn><eissn>1873-2828</eissn><abstract>[Display omitted]
•Persimmons' orange and red hues come from beta-carotene pigments.•Persimmons peel phytocompound extraction was modeled using ANFIS.•Effective diffusion coefficient at 30 °C extraction temperature was 3.187×10-11.•Negative Gibbs free energy changes indicated thermodynamically spontaneous extraction.
In the present study, ultrasound assisted extraction (UAE) of phytochemicals from persimmon fruit peel (PFP) was modeled using an artificial neural network (ANN) and optimized by integrating with genetic algorithm (GA). The range of process parameters selected for conducting the experiments was ultrasonication power (XU) 150–––350 W, extraction temperatures (XT) 30–––70 °C, solid to solvent ratio (XS) 1:15–––1:35 g/ml, and ethanol concentration (XC) 40–––80 %. The range of responses total phenolic content (YP), antioxidant activity (YA), total beta carotenoid (YB) and total flavonoid content (YF) at various independent variables combinations were found to be 7.72–––24.62 mg GAE/g d.w., 51.44–––85.58 %DPPH inhibition, 24.78–––56.56 µg/g d.w. and 0.29–––1.97 mg QE/g d.w. respectively. The modelling utilised an ANN architecture with a configuration of 4–12-4. The training process employed the Levenberg–Marquardt method, whereas the activation function chosen for the layers was the log sigmoid. The optimum condition predicted by the hybrid ANN-GA model for the independent variables, XU, XT, XS and XC was found to be 230.18 W, 50.66 °C, 28.27 g/ml, and 62.75 % respectively. The extraction process was carried out for 25 min, with 5-minute intervals, at various temperatures between 30 and 60 °C, to investigate the kinetic and thermodynamic characteristics of the process, under the optimal conditions of XU, XS and XC. The UAE of phytochemicals from persimmon peel followed pseudo second order kinetic model and the extraction process was endothermic in nature.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>38211494</pmid><doi>10.1016/j.ultsonch.2024.106759</doi><orcidid>https://orcid.org/0000-0002-6439-4753</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1350-4177 |
ispartof | Ultrasonics sonochemistry, 2024-01, Vol.102, p.106759, Article 106759 |
issn | 1350-4177 1873-2828 1873-2828 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_f7300a7dbd1148f4a7c2e300e9841eff |
source | ScienceDirect Freedom Collection; PubMed Central |
subjects | Artificial neural network Kinetics Original Persimmon peel Ultrasonication |
title | Ultrasound assisted phytochemical extraction of persimmon fruit peel: Integrating ANN modeling and genetic algorithm optimization |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T23%3A47%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Ultrasound%20assisted%20phytochemical%20extraction%20of%20persimmon%20fruit%20peel:%20Integrating%20ANN%20modeling%20and%20genetic%20algorithm%20optimization&rft.jtitle=Ultrasonics%20sonochemistry&rft.au=Giri,%20Souvik&rft.date=2024-01-01&rft.volume=102&rft.spage=106759&rft.pages=106759-&rft.artnum=106759&rft.issn=1350-4177&rft.eissn=1873-2828&rft_id=info:doi/10.1016/j.ultsonch.2024.106759&rft_dat=%3Cproquest_doaj_%3E2919744455%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c538t-5bb8907dc97739a16e5f3fe30fc77e2a8e4fd04b3f88dd588ab4ac737d4a6723%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2919744455&rft_id=info:pmid/38211494&rfr_iscdi=true |