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Comparative Study Between Raw and Different Processed Stellera chamaejasme L. Based on Electronic Eye, Electronic Nose, HPLC, and Chemometrics

化学 电子鼻 化学计量学 偏最小二乘回归 主成分分析 色谱法 线性判别分析 东莨菪碱 高效液相色谱法 比色法 食品科学 人工智能 数学 医学 统计 病理 计算机科学 替代医学
作者
Wenqi Hu,Xiaoran Zhao,Liying Liu,Gege Li,Rui Huang,Yanan Liu,Xiaoliang Ren
出处
期刊:Phytochemical Analysis [Wiley]
标识
DOI:10.1002/pca.70005
摘要

ABSTRACT Introduction Langdu (SSC) is the dried root of Stellera chamaejasme L. Due to its toxicity, the milk‐processed (NSC), Terminalia chebula decoction‐processed (HSC), wine‐processed (JSC), and vinegar‐processed (CSC) products are predominantly employed in clinical practice. Objective To illuminate the difference in color, volatile, and non‐volatile compounds among the processed products of SC. Material and Methods SC was processed into five products. Color characteristics, volatile, and non‐volatile compounds were systematically analyzed using electronic eye, electronic nose, and HPLC analyses. Multivariate statistical analyses comprising principal component analysis (PCA), hierarchical cluster analysis (HCA), discriminant factor analysis (DFA), partial least squares discriminant analysis (PLS‐DA), and correlation analysis were performed. Results Following processing, significant differences in color, volatile, and non‐volatile components were observed. The established chemometric models demonstrated rapid discriminative capability to the five products, with seven volatile components and 16 non‐volatile components identified as potential chemical markers. Quantitative analysis revealed increased levels of daphnetin and scopoletin and decreased levels of bergenin and chamaechromone after processing. Pearson's correlation analysis revealed significant positive correlations between the lightness (L*) value in the CIELAB color space and scopoletin ( p < 0.001) or 7‐hydroxycoumarin ( p < 0.001), while the b* (yellow‐blue) axis showed significant positive correlations with daphnetin ( p < 0.001) and isopimpinellin ( p < 0.05) contents. Additionally, a* (red‐green) axis showed significant negative correlations with daphnetin, 7‐hydroxycoumarin, and daphnoretin levels ( p < 0.01). Conclusion The established models efficiently, accurately, and reliably discriminated the different processed products of SC through multidimensional characterization. These potential chemical markers and correlation patterns provide the scientific foundation for toxicity reduction assessment and processing standardization.
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