Evaluation of portable and benchtop NIR for classification of high oleic acid peanuts and fatty acid quantitation

Hongwei Yu, Hongzhi Liu, Qiang Wang*, Saskia van Ruth

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Portable near-infrared (NIR) analyzer for classifying the high oleic acid peanuts (HOP) and quantitation of its major fatty acids was assessed for the first time in comparison with the benchtop NIR. Reference chemical values of fatty acids were calculated by the gas chromatographic method. The processed datasets were explored by principal component analysis and classification models were built by using partial least square discriminant analysis. The results showed that the accuracy of distinction of the HOP from others was 100%. Partial least square was used to build quantitative models for quantifying the peanuts’ major fatty acids. The R of the calibration model noted for the portable NIR was 0.90, 0.88 and 0.88 for oleic acid, linoleic acid and palmitic acid of the HOP with a SEC of 0.97, 0.12 and 0.12, respectively. The similar results could be found in the benchtop NIR. The RPD of all models were over 2 which showed good performance of the models. This study indicated that the portable NIR performance was comparable with the performance of the benchtop NIR for distinction of the HOP from others, as well as for the prediction of the contents of its main fatty acids.

Original languageEnglish
Article number109398
JournalLWT
Volume128
DOIs
Publication statusPublished - Jun 2020

Keywords

  • High oleic acid
  • Peanut
  • PLS
  • PLS-DA
  • Portable NIR

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