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International Journal of Food Engineering

Editor-in-Chief: Chen, Xiao Dong


IMPACT FACTOR 2017: 0.923

CiteScore 2018: 1.02

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1556-3758
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Volume 15, Issue 3-4

Issues

NIR Spectroscopy Coupled Chemometric Algorithms for Rapid Antioxidants Activity Assessment of Chinese Dates (Zizyphus Jujuba Mill.)

Muhammad Arslan / Zou Xiaobo
  • Corresponding author
  • School of Food and Biological Engineering, Jiangsu University, 301 Xuefu Rd., 212013 Zhenjiang, Jiangsu, China
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/ Haroon Elrasheid Tahir / Hu Xuetao / Allah Rakha / Muhammad Zareef / Emmanuel Amomba Seweh / Sajid Basheer
Published Online: 2019-03-16 | DOI: https://doi.org/10.1515/ijfe-2018-0148

Abstract

In this work, near-infrared spectroscopy coupled the classical PLS and variable selection algorithms; synergy interval-PLS, backward interval-PLS and genetic algorithm-PLS for rapid measurement of the antioxidant activity of Chinese dates. The chemometric analysis of antioxidant activity assays was performed. The built models were investigated using correlation coefficients of calibration and prediction; root mean square error of prediction, root mean square error of cross-validation and residual predictive deviation (RPD). The correlation coefficient for calibration and prediction sets and RPD values ranged from 0.8503 to 0.9897, 0.8463 to 0.9783 and 1.86 to 4.88, respectively. In addition, variable selection algorithms based on efficient information extracted from acquired spectra were superior to classical PLS. The overall results revealed that near-infrared spectroscopy combined with chemometric algorithms could be used for rapid quantification of antioxidant content in Chinese dates samples.

Keywords: antioxidant assays; chemometric algorithms; jujube fruit; NIR spectroscopy; variable selection

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About the article

Received: 2018-05-08

Accepted: 2019-02-07

Revised: 2018-10-13

Published Online: 2019-03-16


Conflict of interest All the authors declare that they do not have any conflict of interest.

Ethical approval This article does not contain any studies with human participants or animals performed by any of the authors.

Informed Consent Informed consent is not applicable in this study.


Citation Information: International Journal of Food Engineering, Volume 15, Issue 3-4, 20180148, ISSN (Online) 1556-3758, DOI: https://doi.org/10.1515/ijfe-2018-0148.

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