Assessment of the ecological quality of P. heterophylla polysaccharides based on machine learning models
文献类型：期刊论文
| 作者 | Wang, Lingling; Yang, Yang; Li, Jianan; Dong, Xiaoju; Yuan, Qingsong; Zhou, Tao; Wang, Bo |
| 刊名 | INDUSTRIAL CROPS AND PRODUCTS
 |
| 出版日期 | 2025 |
| 卷号 | 236 |
| 关键词 | P. heterophylla Polysaccharides Machine learning Ecological quality assessment Homology of food and medicine |
| 英文摘要 | Quality is fundamentally derived from production, and unsuitable origins represent a primary contributor to quality issues in traditional Chinese medicine. P. heterophylla, a widely utilized herb in both food and medicine, contains polysaccharides that possess multiple biological activities, including hypoglycemic, anti-inflammatory, and antioxidant effects, making them highly sought after in the health industry. However, the indiscriminate introduction of P. heterophylla across regions to meet market demand has led to significant discrepancies in polysaccharide content among different cultivation areas. This study addresses the urgent need for a systematic assessment of the ecological quality of P. heterophylla polysaccharides. Linear and machine learning models were constructed by combining 279 pieces (6 major producing provinces: Fujian, Guizhou, Jiangsu, Anhui, Shandong, Zhejiang) of data on the polysaccharide content of cultivated P. heterophylla collected with environmental factors to predict the distribution characteristics of its polysaccharide content in cultivated areas, suitable areas and China as a whole. The results showed that the machine learning model has better accuracy and stability compared to the linear model. Because the R2 value (MLM: 0.35; RF: 0.56; XGB: 0.66; KNN: 0.43) of the XGB model was the largest and the smallest RMSE (MLM: 7.83; RF: 6.62; XGB: 5.76; KNN: 7.47) and MAE values (MLM: 6.22; RF: 5.07; XGB: 3.99; KNN: 5.89), it was finally selected to predict the polysaccharide content of P. heterophylla. The prediction results indicated that the quality of P. heterophylla from Fujian and Guizhou production areas was excellent at present. SHAP values indicated that temperature, precipitation, and pH were the three critical environmental factors influencing polysaccharide content. High temperature, abundant rainfall and acidic soil contributed to the accumulation of polysaccharide content. This research provided a theoretical basis for the cultivation of high-quality P. heterophylla and supported the sustainable development of the traditional Chinese medicine industry. |
| 源URL | [http://210.75.249.4/handle/363003/62324]  |
| 专题 | 西北高原生物研究所_中国科学院西北高原生物研究所 |
| 推荐引用方式 GB/T 7714 | Wang, Lingling,Yang, Yang,Li, Jianan,et al. Assessment of the ecological quality of P. heterophylla polysaccharides based on machine learning models[J]. INDUSTRIAL CROPS AND PRODUCTS,2025,236. |
| APA | Wang, Lingling.,Yang, Yang.,Li, Jianan.,Dong, Xiaoju.,Yuan, Qingsong.,...&Wang, Bo.(2025).Assessment of the ecological quality of P. heterophylla polysaccharides based on machine learning models.INDUSTRIAL CROPS AND PRODUCTS,236. |
| MLA | Wang, Lingling,et al."Assessment of the ecological quality of P. heterophylla polysaccharides based on machine learning models".INDUSTRIAL CROPS AND PRODUCTS 236(2025). |
入库方式： OAI收割
来源：西北高原生物研究所
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