Literature DB >> 31151603

Rapid determination of aflatoxin B1 concentration in soybean oil using terahertz spectroscopy with chemometric methods.

Wei Liu1, Pengguang Zhao2, Chaosheng Wu2, Changhong Liu2, Jianbo Yang3, Lei Zheng4.   

Abstract

Soybean oil is often contaminated by aflatoxin B1 (AFB1) which is regarded as a class I carcinogen. The feasibility of rapid determination of AFB1 in soybean oil with terahertz spectroscopy was examined. t-SNE, as the pre-treatment method was used to get the best features and combined with different chemometrics including least squares-support vector machines (LS-SVM), back propagation neural network (BPNN), random forest (RF) and partial least squares (PLS) to find the best determination model. The excellent prediction results could be obtained using BPNN combined with t-SNE with correlation the coefficient of prediction (Rp) was 0.9948 and the root-mean-square error of prediction (RMSEP) was 0.7124 µg/kg. Besides, THz spectroscopy was proved to be feasible to detect AFB1 at 1 µg/kg in soybean oil (over 90% accuracy). It was concluded that THz spectroscopy together with chemometrics would be a promising technique for rapid determination of the AFB1 concentration in soybean oil.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aflatoxin B(1); Chemometrics; Rapid determination; Soybean oil; Terahertz spectroscopy

Mesh:

Substances:

Year:  2019        PMID: 31151603     DOI: 10.1016/j.foodchem.2019.04.081

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  3 in total

Review 1.  Machine Learning Techniques for THz Imaging and Time-Domain Spectroscopy.

Authors:  Hochong Park; Joo-Hiuk Son
Journal:  Sensors (Basel)       Date:  2021-02-08       Impact factor: 3.576

2.  Pesticide detection combining the Wasserstein generative adversarial network and the residual neural network based on terahertz spectroscopy.

Authors:  Ruizhao Yang; Yun Li; Binyi Qin; Di Zhao; Yongjin Gan; Jincun Zheng
Journal:  RSC Adv       Date:  2022-01-11       Impact factor: 3.361

Review 3.  Recent Progress on Techniques in the Detection of Aflatoxin B1 in Edible Oil: A Mini Review.

Authors:  Shipeng Yin; Liqiong Niu; Yuanfa Liu
Journal:  Molecules       Date:  2022-09-20       Impact factor: 4.927

  3 in total

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