Journal
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
Volume 67, Issue 45, Pages 12565-12575Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.jafc.9b04007
Keywords
S. zeamais; infested wheat; low field H-1 nuclear magnetic resonance; CPMG; LDA; PLS
Funding
- National Key Research and Development Program of China [2017YFC1600601]
- National Key Research and Development Plan [2017YFD0401404]
- Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
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Time-domain nuclear magnetic resonance (NMR) is used for the characterization of wheat infested with Sitophilus zeamais. NMR parameters (T-21, T-22, P-21, P-22, and A(21/22)) were achieved by biexponential analysis combined with a discrete method. Sound wheat, S. zeamais, and S. zeamais/wheat binary mixture are all explored by this method to find the changes in the process of the number increase and growth stage. Based on different sets of NMR parameters, the classification and quantification of the stage and number are made by linear discriminant analysis and partial least squares regression with very high accuracy. The weight and moisture content information lack will make the misclassification rate increase but not by more than 7%. This NMR-based hidden-insect detection method, with fast and nondestructive advantages, was confirmed by X-ray and had a high potential to be equipped in the online analysis system.
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