Recent development of optical methods in rapid and non-destructive detection of aflatoxin and fungal contamination in agricultural products

Article ID	Journal	Published Year	Pages	File Type
7687921	TrAC Trends in Analytical Chemistry	2018	61 Pages	PDF

Abstract

The demand for developing rapid and non-destructive techniques that is suitable to real-time and on-line detection of aflatoxin and fungal contamination has received significant attentions. Measurement techniques based on fluorescence spectroscopy (FS), near-infrared spectroscopy (NIRS) and hyperspectral imaging (HSI) have provided interesting and promising results for detecting aflatoxin and/or fungal contamination in a variety of foods. As such, the main goal of this article is to give an overview of the current research progress of FS, NIRS and HSI techniques in rapid detection of aflatoxin and fungal contamination in different varieties of agricultural products. These techniques are described in terms of their working principles, features and application advantages in detecting aflatoxins and fungal contamination. The research advances of each technique applied in different agricultural products are reviewed and the results obtained from different studies are compared and discussed. Perspectives on their future trends and challenges are also addressed.

Keywords

ANN NIR PLS-DA ASTM RMSECV RMSEP PDA PLSR EEM MLR MLP PARAFAC ROI SLS RMSD ARS SAM TLC MSC KNN Vis/NIRS HSI RPD LS-SVM AOAC QDA NIRS SWIR CDA CEN AFB2 AFG1 AFG2 Aflatoxin G2 SNR FWHM MMN MSI LDB SEP FFS USDA SNV DFI RFE MSU RFI SECV LDC Savitzky-Golay FT-NIR Purple Fourier transform near-infrared spectroscopy GA-SVM RP2 RC2 FDA QDC Parzen classifier Local discriminant bases FT-NIRS NDFI SNV-DT sPCR AFB1 k-nearest neighbor PCA VIs Aspergillus Aflatoxin B1 Aflatoxin B2 Aflatoxin G1 Aflatoxin Dimensional European Union Standard normal variate Ultraviolet Genetic algorithm Association of Analytical Communities American Society of Testing and Materials standard deviation residual prediction deviation ISO Detrending MAS Fourier transform Partial least squares discriminant analysis Linear discriminant analysis Discriminant analysis Factorial discriminant analysis canonical discriminant analysis Parallel factor analysis Quadratic discriminant analysis Principal component analysis LDA ELISA Enzyme-linked immunosorbent assay multiplicative scatter correction Hyperspectral imaging Multispectral imaging Random forest LOD یا Limit of detection Maximum likelihood Recursive feature elimination Agricultural Research Service standard error of cross validation TPR Partial least squares regression Multiple linear regression principal component regression Root mean square difference Root mean square error of cross validation International Organization for Standardization potato dextrose agar Neural network Artificial Neural Network Normal Visible and near-infrared spectroscopy Near-infrared spectroscopy full width half maximum Fluorescence Fluorescence spectroscopy Visible excitation-emission matrix Support vector machine SVM limit of detection region of interest Short-wave infrared principal component True positive rate Near-infrared Signal-to-noise ratio Spectral Angle Mapper Rep Coe PCR Multilayer perceptron Multi-spectral thin layer chromatography HPLC high-performance liquid chromatography Gas chromatography European Committee for Standardization untreated control