4.7 Article

Antinutrient to mineral molar ratios of raw common beans and their rapid prediction using near-infrared spectroscopy

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FOOD CHEMISTRY
卷 368, 期 -, 页码 -

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ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2021.130773

关键词

Common beans; Near-infrared spectroscopy; Antinutrients; Minerals; Molar ratios

资金

  1. VLIR-UOS [KE2017IUC037A101]

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This study utilized near-infrared spectroscopy to predict the molar ratios of antinutrients to minerals in beans, finding that bean type significantly affects tannin content. 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 deemed useful for screening purposes.
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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