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

Autor: Wafula EN; KU Leuven, Department of Microbial and Molecular Systems (M(2)S), Laboratory of Food Technology, Kasteelpark Arenberg 22, Box 2457, 3001 Leuven, Belgium; Jomo Kenyatta University of Agriculture and Technology, College of Agriculture and Natural Resources, School of Food and Nutritional Sciences, Department of Food Science and Technology, P.O. Box 62, 000-00200 Nairobi, Kenya. Electronic address: elizabethnakhungu.wafula@kuleuven.be., Onduso M; Jomo Kenyatta University of Agriculture and Technology, College of Agriculture and Natural Resources, School of Food and Nutritional Sciences, Department of Food Science and Technology, P.O. Box 62, 000-00200 Nairobi, Kenya., Wainaina IN; KU Leuven, Department of Microbial and Molecular Systems (M(2)S), Laboratory of Food Technology, Kasteelpark Arenberg 22, Box 2457, 3001 Leuven, Belgium., Buvé C; KU Leuven, Department of Microbial and Molecular Systems (M(2)S), Laboratory of Food Technology, Kasteelpark Arenberg 22, Box 2457, 3001 Leuven, Belgium., Kinyanjui PK; Jomo Kenyatta University of Agriculture and Technology, College of Agriculture and Natural Resources, School of Food and Nutritional Sciences, Department of Food Science and Technology, P.O. Box 62, 000-00200 Nairobi, Kenya., Githiri SM; Jomo Kenyatta University of Agriculture and Technology, College of Agriculture and Natural Resources, School of Agriculture and Environmental Resources, Department of Horticulture and Food Security, P.O. Box 62, 000-00200 Nairobi, Kenya., Saeys W; KU Leuven, Department of Biosystems (BIOSYST), Division of Mechatronics, Biostatistics and Sensors (MeBios), Kasteelpark Arenberg30, Box 2456, 3001 Leuven, Belgium., Sila DN; Jomo Kenyatta University of Agriculture and Technology, College of Agriculture and Natural Resources, School of Food and Nutritional Sciences, Department of Food Science and Technology, P.O. Box 62, 000-00200 Nairobi, Kenya., Hendrickx M; KU Leuven, Department of Microbial and Molecular Systems (M(2)S), Laboratory of Food Technology, Kasteelpark Arenberg 22, Box 2457, 3001 Leuven, Belgium. Electronic address: marceg.hendrickx@kuleuven.be.
Jazyk: angličtina
Zdroj: Food chemistry [Food Chem] 2022 Jan 30; Vol. 368, pp. 130773. Date of Electronic Publication: 2021 Aug 05.
DOI: 10.1016/j.foodchem.2021.130773
Abstrakt: 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.
(Copyright © 2021 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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