4.7 Article

Geographical origin discriminatory analysis of onions: Chemometrics methods applied to ICP-OES and ICP-MS analysis

Journal

FOOD RESEARCH INTERNATIONAL
Volume 175, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.foodres.2023.113676

Keywords

ICP analysis; Geographical origin; Chemometrics; Variable importance in projection; ROC curve; CDA

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Geographical origin plays a crucial role in determining the quality and safety of agricultural products. In this study, ICP analysis was used to determine the inorganic elemental content of onions and identify their geographical origin. Chemometric methods were applied to analyze the ICP results, and the accuracy of distinguishing between Korean and Chinese onions was found to be excellent. The findings suggest that this method can be beneficial for identifying agricultural products.
Geographical origin is an important determinant of agricultural product quality and safety. Herein, inductively coupled plasma (ICP) analysis was applied to determine the inorganic elemental content of onions and identify their geographical origin (Korean or Chinese). Chemometric, including principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and orthogonal partial least square discriminant analysis (OPLS-DA) were applied to the ICP results. OPLS-DA distinguished each group, and 17 elements with variable importance in projection (VIP) values of >= 1 were selected. The receiver operating characteristic (ROC) curve had an area under the curve (AUC) of 1, indicating excellent discriminatory power. Differences in elemental content between groups were visually observed in a heatmap, and the country of origin was determined with 100% accuracy using canonical discriminant analysis (CDA). This method accurately distinguishes between Korean and Chinese onions and is expected to be beneficial for identifying agricultural products.

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