School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China.
Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China.
J Sep Sci. 2023 Nov;46(22):e2300445. doi: 10.1002/jssc.202300445. Epub 2023 Sep 22.
Mountain-cultivated ginseng is typically harvested after 10 years, while ginseng aged over 15 years is considered wild ginseng. This study aims to differentiate mountain-cultivated ginseng by age, as the fraudulent practice of selling low-aged cultivated ginseng disguised as high-aged one is damaging the market. In this study, LC-MS analyzed 98 ginseng samples, and multivariate statistical analysis identified patterns between samples to select influential components. Machine learning models were developed to identify ginseng samples of different ages. The untargeted metabolomic analysis clearly divided samples aged 4-20 years into three age groups. Twenty-two potential age-dependent biomarkers were discovered to differentiate the three sample groups. Three machine learning models were used to predict new samples, and the optimal model was selected. Some biomarkers could determine age phases according to the differentiation of mountain-cultivated ginseng samples. These biomarkers were thoroughly analyzed for variation trends. The machine learning models established using the screened biomarkers successfully predicted the age group of new samples.
人工种植人参通常需要 10 年以上才能收获，而超过 15 年的人参则被认为是野生人参。本研究旨在区分不同年龄的人工种植人参，因为将低龄种植人参冒充高龄人参出售的欺诈行为正在损害市场。在这项研究中，LC-MS 分析了 98 个人参样本，多元统计分析确定了样本之间的模式，以选择有影响的成分。开发了机器学习模型来识别不同年龄的人参样本。非靶向代谢组学分析清楚地将 4-20 岁的样本分为三组年龄。发现了 22 个潜在的年龄相关生物标志物来区分三组样本。使用三种机器学习模型对新样本进行预测，并选择了最优模型。一些生物标志物可以根据人工种植人参样本的分化来确定年龄阶段。对这些生物标志物的变化趋势进行了深入分析。使用筛选出的生物标志物建立的机器学习模型成功地预测了新样本的年龄组。
