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High throughput nutritional profiling of pea seeds using Fourier transform mid-infrared spectroscopy.

Authors
  • Karunakaran, Chithra1
  • Vijayan, Perumal2
  • Stobbs, Jarvis1
  • Bamrah, Ramandeep Kaur2
  • Arganosa, Gene2
  • Warkentin, Thomas D3
  • 1 Canadian Light Source Inc., 44 Innovation Boulevard, Saskatoon, SK S7N 2V3, Canada. , (Canada)
  • 2 Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada. , (Canada)
  • 3 Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada. Electronic address: [email protected] , (Canada)
Type
Published Article
Journal
Food chemistry
Publication Date
Mar 30, 2020
Volume
309
Pages
125585–125585
Identifiers
DOI: 10.1016/j.foodchem.2019.125585
PMID: 31708344
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Seed samples from 117 genetically diverse pea breeding lines were used to determine the robustness of Fourier transform mid-infrared spectroscopy (FT-MIR) for the rapid nutritional profiling of seeds. The FT-MIR results were compared to wet chemistry methods for assessing the concentrations of total protein, starch, fiber, phytic acid, and carotenoids in pea seed samples. Of the five partial least square regression models (PLSR) developed, protein, fiber and phytic acid concentrations predicted by the models exhibited correlation coefficients greater than 0.83 when compared with data obtained using the wet chemistry methods for both the calibration and validation sets. The starch PLSR model had a correlation greater than 0.75, and carotenoids had correlation of 0.71 for the validation sets. The methods implemented in this research show the novelty and usefulness of FT-MIR as a simple, fast, and cost-effective technique to determine multiple seed constituents simultaneously. Copyright © 2019 Elsevier Ltd. All rights reserved.

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