SCIENCE@home

Determination of acid value during edible oil storage using a portable NIR spectroscopy system combined with variable selection algorithms based on MPA-based strategy.

Hui Jiang,Yingchao He,Quansheng Chen

Published 2020 in The Journal of the Science of Food and Agriculture

ABSTRACT

BACKGROUND The acid value is one of the significant indicators for evaluating the quality of edible oil during storage. Herein, this study employs a portable near-infrared spectroscopy (NIRS) system to determine the acid value during edible oil storage. Four MPA-based variable selection methods, namely, competitive adaptive reweighted sampling (CARS), variable iterative space shrinkage approach (VISSA), iteratively variable subset optimization (IVSO) and bootstrapping soft shrinkage (BOSS), were introduced to optimize the preprocessed NIR spectra. Then, support vector machine (SVM) models based on characteristic spectra obtained by different selection methods were established to achieve quantitative detection of the acid value during edible oil storage. RESULTS The results obtained revealed that compared to the full-spectrum SVM model, the SVM models established by the characteristic wavelengths optimized by the variable selection methods based on the MPA strategy exhibit a significant improvement in complexity and generalization performance. Furthermore, compared with the CARS, VISSA and IVSO methods, the BOSS method obtained the least number of characteristic wavelength variables, and the SVM model established based on the optimized features of this method exhibited the best prediction performance, with RMSEP = 0.11 mg g-1 , RP 2 =0.92 and RPD=2.82, respectively. CONCLUSION The overall results indicate that the variable selection methods based on the MPA strategy can select more targeted characteristic variables, which has good application prospects in NIR spectra feature optimization. This article is protected by copyright. All rights reserved.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    The Journal of the Science of Food and Agriculture

  • Publication date

    2020-11-22

  • Fields of study

    Medicine, Chemistry, Environmental Science, Mathematics

  • Identifiers
    DOI 10.1002/jsfa.10962PMID 33222172
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar, PubMed

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

Showing 1-33 of 33 references · Page 1 of 1

CITED BY

Showing 1-41 of 41 citing papers · Page 1 of 1