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Updated: Jan 2, 2026

Author Spotlight: Technologies and Challenges in Elemental Analysis of Food Samples
Published on: December 22, 2023
Geographical origin discrimination of pepper (Capsicum annuum L.) based on multi-elemental concentrations combined
Jian Zhang1, Ruidong Yang1, Rong Chen2
11College of Resource and Environmental Engineering, Guizhou University, Huaxi District, Guiyang, 550025 China.
Abstract:
The concentrations of twenty-four elements in twenty-five peppers from three cultivated regions in Guizhou Province (China) were analyzed. The chemometric data processing, including one-way analysis of variance, principal component analysis, linear discriminant analysis (LDA), and orthogonal partial least squares discriminant analysis (OPLS-DA) were executed to differentiate the peppers. Consequently, the contents of 16 elements (Arsenic, Ba, Cu, Co, Cr, Ni, Pb, Sn, Sb, Mo, Sr, Y, Zn, Ca, P, and Fe) were significantly different among the three regions (p < 0.05). The correct discrimination rates of 25 peppers were 92.0% for LDA and 96.0% for OPLS-DA. The variable importance in the projection (VIP) values were ranged from 1.063 to 1.262 for seven elements (Tin, Fe, Zn, Y, Cr, Sr, and Mo) indicating that they played an important role for the geographical origin traceability of pepper. To sum up, multi-element concentrations together with chemometric data-processing can be promising for the geographical origin differentiation of pepper.
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