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<p>To further explore the componential differences in <i>Rhizoma Arisaematis</i> (RA) and <i>Rhizoma Coptidis</i> (RC) and their processed ginger juice products, and to elucidate their pharmacodynamic material bases, ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) was employed to identify the differential metabolites before and after processing. A multivariate statistical analysis method was used to screen differential metabolites and analyze metabolic pathways. The study quantitatively analyzed some effective components. The analysis identified and isolated differential metabolites across six control groups with the following counts: 1853, 1923, 666, 230, 242, and 252 metabolites, respectively. These included a range of compounds such as amino acids and their derivatives, organic acids, alkaloids, alcohols, amines, phenolic acids, flavonoids, and lipids. Notably, the levels of alkaloids, flavonoids, total protein, and amino acids and their derivatives in RA saw a significant reduction after processing. Although the profiles of differential metabolites were generally consistent across various processing groups, notable variations were detected. After processing, the alkaloid levels in RC were found to be marginally lower than those in unprocessed products, with no substantial differences among the processed products themselves. The lignans, flavonoids, and organic acids were more enriched in the fresh ginger juice-processed RC group. Gingerols and diphenylheptanes, such as 6-gingerol, 8-shogaol, and hexahydrocurcumin, were detected in the processed group and could serve as marker metabolites for formulating processing specifications. This study unveiled the metabolic differences in RA, RC, and their different processed products, providing a reference for elucidating the pharmacodynamic material basis and establishing quality control standards.</p>

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Analysis of Metabolic Differences between Different Processed Ginger Juice Products of Rhizoma Arisaematis and Rhizoma Coptidis based on Non-targeted Metabolomics

  • 期刊论文

  • 发表日期：

    2025年5月29日

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  • Yihao Jiang,
  • Yuanfang Luo,
  • Xiru Zhou,
  • Lei Liang,
  • Zheng Hu,
  • Zhangfeng Ding,
  • Zhibiao Yu

摘要

To further explore the componential differences in Rhizoma Arisaematis (RA) and Rhizoma Coptidis (RC) and their processed ginger juice products, and to elucidate their pharmacodynamic material bases, ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) was employed to identify the differential metabolites before and after processing. A multivariate statistical analysis method was used to screen differential metabolites and analyze metabolic pathways. The study quantitatively analyzed some effective components. The analysis identified and isolated differential metabolites across six control groups with the following counts: 1853, 1923, 666, 230, 242, and 252 metabolites, respectively. These included a range of compounds such as amino acids and their derivatives, organic acids, alkaloids, alcohols, amines, phenolic acids, flavonoids, and lipids. Notably, the levels of alkaloids, flavonoids, total protein, and amino acids and their derivatives in RA saw a significant reduction after processing. Although the profiles of differential metabolites were generally consistent across various processing groups, notable variations were detected. After processing, the alkaloid levels in RC were found to be marginally lower than those in unprocessed products, with no substantial differences among the processed products themselves. The lignans, flavonoids, and organic acids were more enriched in the fresh ginger juice-processed RC group. Gingerols and diphenylheptanes, such as 6-gingerol, 8-shogaol, and hexahydrocurcumin, were detected in the processed group and could serve as marker metabolites for formulating processing specifications. This study unveiled the metabolic differences in RA, RC, and their different processed products, providing a reference for elucidating the pharmacodynamic material basis and establishing quality control standards.