Abstract
This study aimed to investigate the feasibility of identifying the geographical origin of peanuts by combining Raman spectroscopy with chemometrics. A total of 161 peanut samples were collected from Jilin, Jiangsu, and Shandong provinces in China, and their Raman spectra were collected. One-way analysis of variance (ANOVA) was used to analyze the difference in characteristic Raman spectra of peanuts from these locations. Raman spectroscopy combined with principal component analysis (PCA), k-nearest neighbor (k-NN), stepwise linear discriminant analysis (SLDA), and support vector machines (SVM) were used to classify the peanuts by province and Jilin Province city. One-way ANOVA indicated that the peak intensities at 2900, 1660, 1440, 1077, and 848 cm−1 had significant differences. The peaks at 2900, 1660, 1440, 1300, and 1077 cm−1 had significant differences in the Jilin Province city. The correct identification rates were highest for k-NN. This study demonstrates the identification of the origin of peanuts by Raman spectroscopy with chemometrics and may provide technical support for the traceability of other agricultural products.
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