抗营养剂
化学
生物利用度
锌
丹宁
偏最小二乘回归
食品科学
植酸
数学
有机化学
生物信息学
生物
统计
作者
Elizabeth Wafula,Mercyline Onduso,Irene Wainaina,Carolien Buvé,Peter K. Kinyanjui,Stephen Mwangi Githiri,Wouter Saeys,Daniel N. Sila,Marc Hendrickx
出处
期刊:Food Chemistry
[Elsevier]
日期:2021-08-05
卷期号:368: 130773-130773
被引量:13
标识
DOI:10.1016/j.foodchem.2021.130773
摘要
The presence of antinutrients in common beans negatively affects mineral bioavailability. Therefore, this study aimed to predict the antinutrient to mineral molar ratios (proxy-indicators of in vitro mineral bioavailability) of a wide range of raw bean types, using near-infrared (NIR) spectroscopy. Iron, zinc, phytate and tannin concentrations and, antinutrient to mineral molar ratios were determined. Next, model calibration using NIR spectra from milled beans was performed. This entailed wavelength selection, pre-processing and partial least squares regression. Bean type had a significant effect on tannin content. The average values of phytate to iron (Phy:Fe), phytate to zinc (Phy:Zn), tannins to iron (Tan:Fe) and phytate and tannins to iron (Phy + Tan:Fe) MRs were 27.6, 61.7, 16.0 and 43.6, respectively. With determination coefficients for test set prediction above 75%, the PLS-R models for Phy:Zn, Tan:Fe and Phy + Tan:Fe molar ratios are useful for screening purposes.
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