Comparison of Metabolites in Rice from Different Production Areas Using LC-MS/MS

User Benefits

- eMSTAT Solution enables multivariate analysis of chromatogram data with intuitive operations. - Multivariate analysis can identify the characteristic compounds in samples. - Metabolite profiling using LC-MS and multivariate analysis can be performed easily and efficiently.

Introduction

Metabolomics is a research approach for comprehensively analyzing metabolites and is utilized across various fields. In the food industry, qualities such as taste, aroma, and nutritional value are determined by multiple components. By comprehensively analyzing these components, it is possible to evaluate food quality. Environmental factors such as climate and soil, which vary by production region, influence the metabolite profiles of agricultural products. As a result, metabolomics is gaining attention as a scientific tool for assessing regional characteristics. Rice, one of the most representative grains, is primarily composed of starch and protein. It also contains sugars, amino acids, organic acids, lipids, and secondary metabolites, all of which are believed to significantly contribute to rice quality through its metabolite profile. This article presents the results of comprehensive metabolite analysis conducted on rice of the same cultivar grown in different production areas. Measurements were performed using the LCMS-8060RX and the LC/MS/MS Method Package for Primary Metabolites Ver. 3. Data processing was carried out with LabSolutions Insight , and statistical analysis was conducted using eMSTAT Solution.

December 9, 2025 GMT