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基于激光烧蚀-介质阻挡放电电离的中药质谱成像分析

Mass spectrometry imaging analysis of traditional Chinese medicine by laser ablation-dielectric barrier discharge ionization.

作者信息

Xiao Xue, Guan Xiaokang, Li Dan, Xu Zhouyi, Lu Qiao

机构信息

Clinical Molecular Diagnostic Center of Taihe Hospital and Hubei Key Laboratory of Wudang Local Chinese Medicine Research, Hubei University of Medicine, Shiyan, Hubei, 442000, China.

Discipline of Intelligent Instruments and Equipment, Xiamen University, Xiamen, 361005, China.

出版信息

Anal Bioanal Chem. 2025 Jun 3. doi: 10.1007/s00216-025-05929-6.

Abstract

With its exceptional resolving power and sensitivity, mass spectrometry (MS) is widely regarded as the most informative analytical technique for the qualification and quantification of metabolites in plant sciences. However, conventional MS approaches lack spatial information, which is critical for understanding plant physiological mechanisms. To address this limitation, mass spectrometry imaging (MSI) has emerged as a transformative tool, enabling the visualization of metabolite spatial distribution in complex samples and providing deeper insights into plant metabolic processes. This study introduces a novel MSI platform combining laser ablation (LA) with dielectric barrier discharge ionization (DBDI) to obtain MSI images with 40 µm pixel size for in situ metabolic profiling. The LA-DBDI-MSI platform was applied to analyze a traditional Chinese medicine sample, Scutellaria baicalensis Georgi, revealing the spatial distribution of key bioactive compounds in a single experiment. This cost-effective and flexible system demonstrates significant potential for advancing metabolomics research and the development of traditional medicinal materials.

摘要

质谱(MS)凭借其卓越的分辨率和灵敏度,被广泛认为是植物科学中用于代谢物定性和定量分析的最具信息性的分析技术。然而,传统的质谱方法缺乏空间信息,而这对于理解植物生理机制至关重要。为解决这一局限性,质谱成像(MSI)应运而生,成为一种变革性工具,能够可视化复杂样品中代谢物的空间分布,并为植物代谢过程提供更深入的见解。本研究引入了一种新型的MSI平台,该平台将激光烧蚀(LA)与介质阻挡放电电离(DBDI)相结合,以获得像素尺寸为40 µm的MSI图像用于原位代谢分析。LA-DBDI-MSI平台被应用于分析中药样品黄芩,在单一实验中揭示了关键生物活性化合物的空间分布。这个经济高效且灵活的系统在推进代谢组学研究和传统药材开发方面显示出巨大潜力。

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