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化学计量学分辨方法用于表征卵叶车前种子中挥发性成分的气相色谱-质谱联用研究:方法与性能评估

Chemometric resolution approaches in characterisation of volatile constituents in Plantago ovata seeds using gas chromatography-mass spectrometry: methodology and performance assessment.

作者信息

Seifi Hooman, Masoum Saeed, Seifi Soodabe, Ebrahimabadi Ebrahim Haghir

机构信息

Department of Analytical Chemistry, Faculty of Chemistry, University of Kashan, Kashan, Iran.

出版信息

Phytochem Anal. 2014 May-Jun;25(3):273-81. doi: 10.1002/pca.2503. Epub 2014 Jan 23.

Abstract

INTRODUCTION

Comprehensive chemical profiling of herbal medicines (HMs) is a major challenge in chemical characterisation of source materials. Many analytical platforms such as gas chromatography-mass spectrometry (GC-MS) have been applied to the characterisation. However, the great complexity of analytical results has been an obstacle. Chemometric resolution methods as a supplementary tool for data processing are proposed for solving this problem.

OBJECTIVE

To develop and demonstrate the ability of chemometric techniques in the characterisation of volatile components in herbal medicines.

METHODS

The volatile components of Plantago ovata were extracted using a solvent extraction method. GC-MS analysis were performed using an Agilent HP-6890 gas chromatograph equipped with a HP-5MS capillary, interfaced with an Agilent HP- 5973 mass selective detector. Resolved spectra were identified by matching against the standard mass spectral database of the National Institute of Standards and Technology (NIST).

RESULTS

Results of this study show that the 71 constituents that are qualitatively recognised represent 94.53% of the total relative content of constituents from Plantago ovata oil, whereas without applying the chemometric methods only 51 constituents were recognised by direct searching utilising a mass database. In addition the presence of valuable components such as thymol, 2,4-decadienal, linoleic acid and oleic acid in Plantago ovata oil has been demonstrated.

CONCLUSION

GC-MS combined with chemometric resolution methods, such as multivariate curve resolution-alternating least squares (MCR-ALS), will provide a reliable means for rapid and accurate analyses of unknown complicated practical systems.

摘要

引言

草药的全面化学剖析是原料药化学表征中的一项重大挑战。许多分析平台,如气相色谱 - 质谱联用仪(GC - MS)已被应用于表征。然而,分析结果的高度复杂性一直是个障碍。化学计量学解析方法作为数据处理的辅助工具被提出来解决这个问题。

目的

开发并展示化学计量学技术在草药挥发性成分表征方面的能力。

方法

采用溶剂萃取法提取车前草的挥发性成分。使用配备HP - 5MS毛细管柱的安捷伦HP - 6890气相色谱仪进行GC - MS分析,并与安捷伦HP - 5973质量选择检测器联用。通过与美国国家标准与技术研究院(NIST)的标准质谱数据库匹配来鉴定解析后的光谱。

结果

本研究结果表明,定性识别出的71种成分占车前草油成分总相对含量的94.53%,而未应用化学计量学方法时,仅通过利用质量数据库直接搜索识别出51种成分。此外,还证实了车前草油中存在百里香酚、2,4 - 癸二烯醛、亚油酸和油酸等有价值的成分。

结论

GC - MS与化学计量学解析方法,如多元曲线分辨 - 交替最小二乘法(MCR - ALS)相结合,将为快速准确分析未知复杂实际系统提供可靠手段。

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