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For: Priyadarshini S, Arunkumar E, Moses J, Anandharamakrishnan C. Predicting human glucose response curve using an engineered small intestine system in combination with mathematical modeling. J FOOD ENG 2021. [DOI: 10.1016/j.jfoodeng.2020.110395] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Number Cited by Other Article(s)
1
Hu Z, Wu P, Chen Y, Wang L, Jin X, Chen XD. Intestinal absorption of DHA microcapsules with different formulations based on ex vivo rat intestine and in vitro dialysis models. Food Funct 2023;14:2008-2021. [PMID: 36723140 DOI: 10.1039/d2fo03327e] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
2
Li C, Hu Y. In vitro and animal models to predict the glycemic index value of carbohydrate-containing foods. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2021.12.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
3
Aguiar LM, Cazarin CBB. In vitro and in vivo methods to predict carbohydrate bioaccessibility. Curr Opin Food Sci 2021. [DOI: 10.1016/j.cofs.2021.05.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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