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Predicting the Glycemic Index of Biscuits Using Static In Vitro Digestion Protocols

In vitro digestion methods that can accurately predict the estimated GI (eGI) values of complex carbohydrate foods, including biscuits, are worth exploring. In the current study, standard commercial biscuits with varied clinical GI values between 9~30 were digested using both the INFOGEST and single...

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Autores principales: Peng, Xingguang, Liu, Hongsheng, Li, Xuying, Wang, Huaibin, Zhang, Kejia, Li, Shuangqi, Bao, Xianyang, Zou, Wei, Yu, Wenwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858452/
https://www.ncbi.nlm.nih.gov/pubmed/36673499
http://dx.doi.org/10.3390/foods12020404
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author Peng, Xingguang
Liu, Hongsheng
Li, Xuying
Wang, Huaibin
Zhang, Kejia
Li, Shuangqi
Bao, Xianyang
Zou, Wei
Yu, Wenwen
author_facet Peng, Xingguang
Liu, Hongsheng
Li, Xuying
Wang, Huaibin
Zhang, Kejia
Li, Shuangqi
Bao, Xianyang
Zou, Wei
Yu, Wenwen
author_sort Peng, Xingguang
collection PubMed
description In vitro digestion methods that can accurately predict the estimated GI (eGI) values of complex carbohydrate foods, including biscuits, are worth exploring. In the current study, standard commercial biscuits with varied clinical GI values between 9~30 were digested using both the INFOGEST and single-enzyme digestion protocols. The digestion kinetic parameters were acquired through mathematical fitting by mathematical kinetics models. The results showed that compared with the INFOGEST protocol, the [Formula: see text] deduced from digesting using either porcine pancreatin or α-amylase showed the best potential in predicting the eGI values. Accordingly, mathematical equations were established based on the relations between the [Formula: see text] and the GI values. When digesting using porcine pancreatin, [Formula: see text] 1.834 + 0.009 [Formula: see text] ([Formula: see text] 0.952), and when digesting using only α-amylase, [Formula: see text] 6.101 + 0.009 [Formula: see text]   [Formula: see text] 0.902). The [Formula: see text] represents the area under the curve of the reducing-sugar content normalized to the total carbohydrates versus the digestion time in 180 min. The in vitro method presented enabled the rapid and accurate prediction of the eGI values of biscuits, and the validity of the formula was verified by another batch of biscuits with a known GI, and the error rate of most samples was less than 30%.
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spelling pubmed-98584522023-01-21 Predicting the Glycemic Index of Biscuits Using Static In Vitro Digestion Protocols Peng, Xingguang Liu, Hongsheng Li, Xuying Wang, Huaibin Zhang, Kejia Li, Shuangqi Bao, Xianyang Zou, Wei Yu, Wenwen Foods Article In vitro digestion methods that can accurately predict the estimated GI (eGI) values of complex carbohydrate foods, including biscuits, are worth exploring. In the current study, standard commercial biscuits with varied clinical GI values between 9~30 were digested using both the INFOGEST and single-enzyme digestion protocols. The digestion kinetic parameters were acquired through mathematical fitting by mathematical kinetics models. The results showed that compared with the INFOGEST protocol, the [Formula: see text] deduced from digesting using either porcine pancreatin or α-amylase showed the best potential in predicting the eGI values. Accordingly, mathematical equations were established based on the relations between the [Formula: see text] and the GI values. When digesting using porcine pancreatin, [Formula: see text] 1.834 + 0.009 [Formula: see text] ([Formula: see text] 0.952), and when digesting using only α-amylase, [Formula: see text] 6.101 + 0.009 [Formula: see text]   [Formula: see text] 0.902). The [Formula: see text] represents the area under the curve of the reducing-sugar content normalized to the total carbohydrates versus the digestion time in 180 min. The in vitro method presented enabled the rapid and accurate prediction of the eGI values of biscuits, and the validity of the formula was verified by another batch of biscuits with a known GI, and the error rate of most samples was less than 30%. MDPI 2023-01-14 /pmc/articles/PMC9858452/ /pubmed/36673499 http://dx.doi.org/10.3390/foods12020404 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Peng, Xingguang
Liu, Hongsheng
Li, Xuying
Wang, Huaibin
Zhang, Kejia
Li, Shuangqi
Bao, Xianyang
Zou, Wei
Yu, Wenwen
Predicting the Glycemic Index of Biscuits Using Static In Vitro Digestion Protocols
title Predicting the Glycemic Index of Biscuits Using Static In Vitro Digestion Protocols
title_full Predicting the Glycemic Index of Biscuits Using Static In Vitro Digestion Protocols
title_fullStr Predicting the Glycemic Index of Biscuits Using Static In Vitro Digestion Protocols
title_full_unstemmed Predicting the Glycemic Index of Biscuits Using Static In Vitro Digestion Protocols
title_short Predicting the Glycemic Index of Biscuits Using Static In Vitro Digestion Protocols
title_sort predicting the glycemic index of biscuits using static in vitro digestion protocols
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858452/
https://www.ncbi.nlm.nih.gov/pubmed/36673499
http://dx.doi.org/10.3390/foods12020404
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