College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yuechi Hospital of Traditional Chinese Medicine, Guang'an, China.
Phytochem Anal. 2022 Jan;33(1):72-82. doi: 10.1002/pca.3069. Epub 2021 Jun 10.
INTRODUCTION: Citri Sarcodactylis Fructus (CSF) is widely used as a food ingredient and a traditional Chinese medicine. In China, CSF is cultivated in many places, including Sichuan, Guangdong, Zhejiang, and Fujian provinces. The types and chemical contents of CSF from different origins may vary greatly due to the difference in climate and environmental conditions. Therefore, comparing the chemical composition of CSF from various places is vital. OBJECTIVE: To rapidly select potential characteristic compounds for differentiating CSF from different origins. MATERIAL AND METHODS: Thirty-one batches of CSF samples from different regions were analysed using ultra-performance liquid chromatography with hybrid quadrupole-orbitrap high-resolution mass spectrometry. Thereafter, chemometric methods, including principal component analysis (PCA) and orthogonal partial least squares discrimination analysis (OPLS-DA), were employed to find differential metabolites among the CSF samples from various origins. RESULTS: PCA revealed 77.9% of the total variance and divided all CSF samples into three categories corresponding to their origins. OPLS-DA displayed better discrimination of CSF from different sources, with R X, R Y, and Q of 0.801, 0.985, and 0.849, respectively. Finally, 203 differential metabolites were obtained from CSF from different origins using the variable importance in projection of the OPLS-DA model, 30 of which were identified, and five coumarin compounds were selected as marker compounds discriminating CSF from different origins. CONCLUSION: This work provides a practical strategy for classifying CSF from different origins and offers a research foundation for the quality control of CSF.
简介:佛手(CSF)作为一种食品成分和传统中药,被广泛应用。在中国,CSF 在四川、广东、浙江和福建等多个省份都有种植。由于气候和环境条件的差异,不同产地的 CSF 的类型和化学含量可能会有很大的不同。因此,比较 CSF 来自不同产地的化学组成至关重要。 目的:快速选择潜在的特征化合物,以区分不同产地的 CSF。 材料和方法:采用超高效液相色谱-四极杆轨道阱高分辨质谱联用技术分析了来自不同地区的 31 批 CSF 样品。然后,采用主成分分析(PCA)和正交偏最小二乘判别分析(OPLS-DA)等化学计量学方法,寻找来自不同产地的 CSF 样品之间的差异代谢物。 结果:PCA 揭示了总方差的 77.9%,并将所有 CSF 样品分为三个类别,对应于它们的产地。OPLS-DA 对不同来源的 CSF 具有更好的区分能力,其 R X、R Y 和 Q 值分别为 0.801、0.985 和 0.849。最后,通过 OPLS-DA 模型的变量重要性投影,从不同产地的 CSF 中获得了 203 个差异代谢物,其中 30 个被鉴定出来,选择了 5 种香豆素化合物作为区分不同产地 CSF 的标记化合物。 结论:本研究为 CSF 产地分类提供了一种实用策略,并为 CSF 的质量控制提供了研究基础。
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