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Updated: Jun 11, 2025

Visualization of Metabolites Identified in the Spatial Metabolome of Traditional Chinese Medicine Using DESI-MSI
Published on: December 16, 2022
Integrating mineral elements and metabolite features to distinguish Lotus seeds from different geographic origins
Haoran Su1, Zhuozhen Li2, Wenjie Yu2
1Key Laboratory of Geriatric Nutrition and Health (School of Food and Health, Beijing Technology and Business University), Ministry of Education, Beijing 100048, China; School of Life Sciences, Nanchang University, Nanchang, 330031, China.
Abstract:
The characteristics of lotus seeds (LS) are influenced by variety and environment. However, it remains unknown the difference of metabolites and elements of LS from different origins. In this study, an accurate quantification method (97-107 %) for 20 mineral elements in LS was developed, and a metabolomic method was established to identify a total of 323 metabolites in LS. Mineral composition analysis revealed significant variations in the mineral element contents among LS samples from seven geographical regions. LS were rich in potassium (14,710 mg/kg), manganese (67.19 mg/kg), with a low level of sodium (210 mg/kg). A total of 10 mineral elements and 117 metabolites (p < 0.05 and VIP > 1) were identified as the potential geographical markers of LS by integration analysis. The linear discriminant analysis model showed high prediction accuracy. This study provides strong experimental evidence to maintain the authenticity and quality of LS in the food industry.

