Literature DB >> 29487460

Non-destructive and rapid evaluation of aflatoxins in brown rice by using near-infrared and mid-infrared spectroscopic techniques.

Fei Shen1, Qifang Wu1, Xiaolong Shao1, Qiang Zhang2.   

Abstract

The applicability of near-infrared (NIR) and mid-infrared (MIR) spectroscopy combined with chemometrics was explored in this study to develop rapid, low-cost and non-destructive spectroscopic methods for classification and quantification of aflatoxins in brown rice. A total of 132 brown rice samples within the aflatoxin concentration range of 0-2435.8 μg/kg were prepared by artificially inoculated with A. flavus and A. parasiticus strains of fungus. For the classification of samples at varying levels of aflatoxin B1, the linear discriminant analysis model obtained correct classification rate of 96.9 and 90.6% for NIR and MIR spectroscopy, respectively. For the simultaneous determination of aflatoxins B1, B2, G1, G2 and the total aflatoxins, partial least squares regression also showed good predictive accuracy for both NIR (rv  = 0.936-0.973, RPD = 2.5-4.0) and MIR spectroscopy (rv  = 0.922-0.970, RPD = 2.5-4.0). The overall results indicated that the two spectroscopic techniques offered the feasibility to be used as alternative tools for rapid detection of various aflatoxin contaminations in grain.

Entities:  

Keywords:  Aflatoxins; Brown rice; Chemometrics; Mid-infrared (MIR); Near-infrared (NIR)

Year:  2018        PMID: 29487460      PMCID: PMC5821677          DOI: 10.1007/s13197-018-3033-1

Source DB:  PubMed          Journal:  J Food Sci Technol        ISSN: 0022-1155            Impact factor:   2.701


  11 in total

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2.  Simultaneous determination of aflatoxin M1, ochratoxin A, zearalenone and α-zearalenol in milk by UHPLC-MS/MS.

Authors:  L C Huang; N Zheng; B Q Zheng; F Wen; J B Cheng; R W Han; X M Xu; S L Li; J Q Wang
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3.  Rapid determination of total aflatoxins and ochratoxins A in meat products by immuno-affinity fluorimetry.

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4.  A rapid method for detection of fumonisins B1 and B2 in corn meal using Fourier transform near infrared (FT-NIR) spectroscopy implemented with integrating sphere.

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Journal:  Food Chem       Date:  2012-06-29       Impact factor: 7.514

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Authors:  G J B Gnonlonfin; K Hell; Y Adjovi; P Fandohan; D O Koudande; G A Mensah; A Sanni; L Brimer
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6.  Rapid detection of kernel rots and mycotoxins in maize by near-infrared reflectance spectroscopy.

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7.  An empirical evaluation of three vibrational spectroscopic methods for detection of aflatoxins in maize.

Authors:  Kyung-Min Lee; Jessica Davis; Timothy J Herrman; Seth C Murray; Youjun Deng
Journal:  Food Chem       Date:  2014-10-27       Impact factor: 7.514

8.  Feature selection strategies for quality screening of diesel samples by infrared spectrometry and linear discriminant analysis.

Authors:  Mohammadreza Khanmohammadi; Amir Bagheri Garmarudi; Miguel de la Guardia
Journal:  Talanta       Date:  2012-11-20       Impact factor: 6.057

9.  Combined effects of gamma-irradiation and modified atmosphere packaging on quality of some spices.

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Journal:  Food Chem       Date:  2014-01-10       Impact factor: 7.514

10.  Study of the rapid detection of γ-aminobutyric acid in rice wine based on chemometrics using near infrared spectroscopy.

Authors:  Tiebing Liu; Yang Zhou; Yinbang Zhu; Minji Song; Bo-Bin Li; Yang Shi; Jinyan Gong
Journal:  J Food Sci Technol       Date:  2014-09-25       Impact factor: 2.701

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  6 in total

1.  A Preliminary Study to Classify Corn Silage for High or Low Mycotoxin Contamination by Using near Infrared Spectroscopy.

Authors:  Francesca Ghilardelli; Mario Barbato; Antonio Gallo
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2.  Prediction of cadmium concentration in brown rice before harvest by hyperspectral remote sensing.

Authors:  Weihong Zhou; Jingjing Zhang; Mengmeng Zou; Xiaoqing Liu; Xiaolong Du; Qian Wang; Yangyang Liu; Ying Liu; Jianlong Li
Journal:  Environ Sci Pollut Res Int       Date:  2018-11-20       Impact factor: 4.223

Review 3.  Recent Progress in Near-Infrared Organic Electroluminescent Materials.

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Journal:  Top Curr Chem (Cham)       Date:  2021-12-08

4.  Identification of Rice Seed Varieties Based on Near-Infrared Hyperspectral Imaging Technology Combined with Deep Learning.

Authors:  Baichuan Jin; Chu Zhang; Liangquan Jia; Qizhe Tang; Lu Gao; Guangwu Zhao; Hengnian Qi
Journal:  ACS Omega       Date:  2022-01-31

Review 5.  Research Progress of Applying Infrared Spectroscopy Technology for Detection of Toxic and Harmful Substances in Food.

Authors:  Wenliang Qi; Yanlong Tian; Daoli Lu; Bin Chen
Journal:  Foods       Date:  2022-03-23

6.  Detecting Aflatoxin B1 in Peanuts by Fourier Transform Near-Infrared Transmission and Diffuse Reflection Spectroscopy.

Authors:  Wanqing Yao; Ruanshan Liu; Fengru Zhang; Shuang Li; Xiaoxia Huang; Hongwei Guo; Mengxia Peng; Guohua Zhong
Journal:  Molecules       Date:  2022-09-23       Impact factor: 4.927

  6 in total

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