Skip to main content
ARS Home » Southeast Area » Tifton, Georgia » Crop Genetics and Breeding Research » Research » Publications at this Location » Publication #367877
Research Project: Genetic Improvement of Maize and Sorghum for Resistance to Biotic and Abiotic Stresses

Location: Crop Genetics and Breeding Research

Title: Utilising near-infrared hyperspectral imaging to detect low-level peanut powder contamination of whole wheat flour

Author
item ZHAO, XIN - China Agricultural University
item WANG, WEI - China Agricultural University
item Ni, Xinzhi
item CHU, XUAN - China Agricultural University
item LI, YU-FENG - Chinese Academy Of Agricultural Sciences
item LU, CHENGJUN - Lingang Experimental Middle School

Submitted to: Biosystems Engineering
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 6/6/2019
Publication Date: 7/15/2019
Citation: Zhao, X., Wang, W., Ni, X., Chu, X., Li, Y., Lu, C. 2019. Utilising near-infrared hyperspectral imaging to detect low-level peanut powder contamination of whole wheat flour. Biosystems Engineering. 184:55-68.

Interpretive Summary: The risk of foreign matter contamination in food items at processing facilities increases along with the intensification of globalization of food supply chains in general. For instance, several serious allergy incidents caused by consumption of peanut contaminated wheat flour or wheat products have been reported worldwide. The current study demonstrated that the near-infrared hyperspectral imaging technology can be used to detect low levels of peanut powder contamination in whole wheat flour. Two types of whole wheat flours, that is, the spring wheat flour and winter wheat flour, were examined in this study. Different image data processing procedures were also compared. The image data were highly correlated to the actual concentrations of peanut powder-contaminated winter wheat and spring wheat flour samples. In addition, the prediction maps based on the models developed in this study also allowed us to visualize spatial variation in concentration of peanut powder contamination. The results indicated that near-infrared hyperspectral imaging technology has the potential to detect low-level peanut contamination in whole wheat flour.

Technical Abstract: Near-infrared hyperspectral imaging (HSI) was used for detecting low levels of peanut powder contamination in whole wheat flour, with concentrations of 0.01e10% (w/w). Two types of whole wheat flours, i.e. spring wheat flour (WFS) and winter wheat flour (WFW), were used. Minimum noise fraction combined with n-Dimensional visualiser tool was applied on light intensity calibrated hyperspectral images for preliminary discrimination. Competitive adaptive reweighted sampling (CARS) was applied for optimal wavelength selection. Partial least squares regression (PLSR) models with standard normal variate followed by SavitzkyeGolay first derivatives had the best performance, with coefficients of determination of prediction (R2p) of 0.993 and 0.991, and root mean square error of prediction (RMSEP) of 0.251% and 0.285%, respectively for contaminated WFS and WFW samples. Prediction maps based on PLSR models permitted visualising spatial variations in the concentration of peanut contamination. The results indicated that near-infrared HSI has the potential to detect low-level peanut contamination in whole wheat flour.