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Optimization of Polysaccharide Ultrasonic Extraction Conditions Using Purple Sweet Potato Tubers Based on Free Radical Scavenging and Glycosylation Inhibitory Bioactivities

BACKGROUND: The purple sweet potato, Ipomoea batatas, belongs to the family Convolvulaceae. It is one of the most widely consumed tubers in Asia and is found in many dishes. Many people with diabetes eat purple sweet potato tubers to help reduce blood glucose in China. OBJECTIVE: To predict the ultr...

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Autores principales: Guo, Haihua, Kong, Fansheng, Yan, Chunyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551373/
https://www.ncbi.nlm.nih.gov/pubmed/28839380
http://dx.doi.org/10.4103/0973-1296.211044
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author Guo, Haihua
Kong, Fansheng
Yan, Chunyan
author_facet Guo, Haihua
Kong, Fansheng
Yan, Chunyan
author_sort Guo, Haihua
collection PubMed
description BACKGROUND: The purple sweet potato, Ipomoea batatas, belongs to the family Convolvulaceae. It is one of the most widely consumed tubers in Asia and is found in many dishes. Many people with diabetes eat purple sweet potato tubers to help reduce blood glucose in China. OBJECTIVE: To predict the ultrasonic conditions for getting the optimal in vitro antioxidant and antiglycated activity of ultrasonic extracted polysaccharides from purple sweet potato (I. batatas) tubers, the artificial neural network (ANN) regression models was used in this study. MATERIALS AND METHODS: The antioxidant activity of polysaccharides was quantified by evaluating the hydroxyl radical scavenging effect after ultrasonic extraction, and the data were used in conjunction with optimized extraction conditions to train the predictive ANN models. RESULTS: The following conditions were predicted to yield optimal hydroxyl scavenging activity: 200 W, 22°C, and 40 min. In contrast, conditions of 230 W, 22°C, and 50 min yielded the greatest inhibitory effect on albumin nonenzymatic glycosylation. The accuracy and predictive ability of the models ranged from good to excellent, as indicated by R(2) values ranging from 0.953 to 0.998. CONCLUSION: The results of the present study showed that ANN predictive models are useful in ultrasonic processing, which can rapidly and accurately predict the optimum extraction conditions for polysaccharides based on their antioxidant and antiglycated activities. In addition, the results of the present study suggest that the consumption of sweet potatoes may help reduce free radicals in the body and prevent or treat diabetes. SUMMARY: Ultrasonic extraction conditions were simulated and optimized using artificial neural network. Bioactivities showed nonlinear relationship with ultrasonic conditions. The optimal extraction conditions were 200 W, 22°C, and 40 min for the highest antioxidant capacity. The optimal extraction conditions were 230 W, 22°C, and 50 min for the highest antiglycated effect. Abbreviations used: IBP: Polysaccharide of Ipomoea batatas; RSM: response surface methodology; ANN: Artificial neural network; BSA: Bovine serum albumin.
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spelling pubmed-55513732017-08-24 Optimization of Polysaccharide Ultrasonic Extraction Conditions Using Purple Sweet Potato Tubers Based on Free Radical Scavenging and Glycosylation Inhibitory Bioactivities Guo, Haihua Kong, Fansheng Yan, Chunyan Pharmacogn Mag Original Article BACKGROUND: The purple sweet potato, Ipomoea batatas, belongs to the family Convolvulaceae. It is one of the most widely consumed tubers in Asia and is found in many dishes. Many people with diabetes eat purple sweet potato tubers to help reduce blood glucose in China. OBJECTIVE: To predict the ultrasonic conditions for getting the optimal in vitro antioxidant and antiglycated activity of ultrasonic extracted polysaccharides from purple sweet potato (I. batatas) tubers, the artificial neural network (ANN) regression models was used in this study. MATERIALS AND METHODS: The antioxidant activity of polysaccharides was quantified by evaluating the hydroxyl radical scavenging effect after ultrasonic extraction, and the data were used in conjunction with optimized extraction conditions to train the predictive ANN models. RESULTS: The following conditions were predicted to yield optimal hydroxyl scavenging activity: 200 W, 22°C, and 40 min. In contrast, conditions of 230 W, 22°C, and 50 min yielded the greatest inhibitory effect on albumin nonenzymatic glycosylation. The accuracy and predictive ability of the models ranged from good to excellent, as indicated by R(2) values ranging from 0.953 to 0.998. CONCLUSION: The results of the present study showed that ANN predictive models are useful in ultrasonic processing, which can rapidly and accurately predict the optimum extraction conditions for polysaccharides based on their antioxidant and antiglycated activities. In addition, the results of the present study suggest that the consumption of sweet potatoes may help reduce free radicals in the body and prevent or treat diabetes. SUMMARY: Ultrasonic extraction conditions were simulated and optimized using artificial neural network. Bioactivities showed nonlinear relationship with ultrasonic conditions. The optimal extraction conditions were 200 W, 22°C, and 40 min for the highest antioxidant capacity. The optimal extraction conditions were 230 W, 22°C, and 50 min for the highest antiglycated effect. Abbreviations used: IBP: Polysaccharide of Ipomoea batatas; RSM: response surface methodology; ANN: Artificial neural network; BSA: Bovine serum albumin. Medknow Publications & Media Pvt Ltd 2017 2017-07-19 /pmc/articles/PMC5551373/ /pubmed/28839380 http://dx.doi.org/10.4103/0973-1296.211044 Text en Copyright: © 2017 Pharmacognosy Magazine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Guo, Haihua
Kong, Fansheng
Yan, Chunyan
Optimization of Polysaccharide Ultrasonic Extraction Conditions Using Purple Sweet Potato Tubers Based on Free Radical Scavenging and Glycosylation Inhibitory Bioactivities
title Optimization of Polysaccharide Ultrasonic Extraction Conditions Using Purple Sweet Potato Tubers Based on Free Radical Scavenging and Glycosylation Inhibitory Bioactivities
title_full Optimization of Polysaccharide Ultrasonic Extraction Conditions Using Purple Sweet Potato Tubers Based on Free Radical Scavenging and Glycosylation Inhibitory Bioactivities
title_fullStr Optimization of Polysaccharide Ultrasonic Extraction Conditions Using Purple Sweet Potato Tubers Based on Free Radical Scavenging and Glycosylation Inhibitory Bioactivities
title_full_unstemmed Optimization of Polysaccharide Ultrasonic Extraction Conditions Using Purple Sweet Potato Tubers Based on Free Radical Scavenging and Glycosylation Inhibitory Bioactivities
title_short Optimization of Polysaccharide Ultrasonic Extraction Conditions Using Purple Sweet Potato Tubers Based on Free Radical Scavenging and Glycosylation Inhibitory Bioactivities
title_sort optimization of polysaccharide ultrasonic extraction conditions using purple sweet potato tubers based on free radical scavenging and glycosylation inhibitory bioactivities
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551373/
https://www.ncbi.nlm.nih.gov/pubmed/28839380
http://dx.doi.org/10.4103/0973-1296.211044
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