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

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Wenqi Hu, Xiaoran Zhao, Liying Liu, Gege Li, Rui Huang, Yanan Liu, Xiaoliang Ren
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引用次数: 0

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.

基于电子眼、电子鼻、高效液相色谱和化学计量学的生料和不同加工的狼毒比较研究。
摘要:狼毒(Langdu, SSC)是狼毒(Stellera chamaejasme L.)的干根,由于其毒性,其乳制(NSC)、毒煎(HSC)、酒制(JSC)和醋制(CSC)产品主要用于临床。前言:目的:了解SC各加工产品的颜色、挥发性和非挥发性成分的差异。原料和方法:SC加工成5种产品。利用电子眼、电子鼻和高效液相色谱分析系统地分析了颜色特征、挥发性和非挥发性化合物。多元统计分析包括主成分分析(PCA)、层次聚类分析(HCA)、判别因子分析(DFA)、偏最小二乘判别分析(PLS-DA)和相关分析。结果:经处理后,颜色、挥发性和非挥发性成分有显著差异。建立的化学计量模型对5种产品具有快速判别能力,其中7种挥发性成分和16种非挥发性成分被确定为潜在的化学标记物。定量分析显示炮制后瑞香素和东莨菪素水平升高,而牛根素和chamaechromone水平降低。Pearson相关分析显示CIELAB色彩空间的亮度(L*)值与东莨菪碱之间存在显著的正相关(p)。结论:建立的模型通过多维表征有效、准确、可靠地区分了SC的不同加工产品。这些潜在的化学标记和相关模式为毒性降低评价和工艺标准化提供了科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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