Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China; Natural Product Chemistry Department, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Fitoterapia. 2020 Oct;146:104679. doi: 10.1016/j.fitote.2020.104679. Epub 2020 Jul 1.
Segmentation-quantification is the most commonly used method for studying the tissue distribution of bioactive constituents in plant, but this method would bring uncontrollable pollution, compound migration and denaturation. Mass spectrometry imaging (MSI), as a new method developed in the past 20 years, has high sensitivity, high spatial resolution, high degree of visualization, and low risk of contamination and degeneration when studying tissue distribution of compounds. For the first time we applied matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) to tissue distribution of characteristic constituents of the medicinal plant Salvia miltiorrhiza. From the collected data, we found the regional differences in root, stem, and leaf tissues, and the ion information with differential distribution characteristics. We also identified 18 bioactive constituents in S. miltiorrhiza with their spatial distribution information. In addition, the plant was divided into five parts, and the identified compounds were analyzed for differences between tissues using LC-MS, which results verified those found from the MSI. It is figured out that MALDI-MSI can be reliably applied to the differential distribution of salvianolic acids and tanshinones.
分段定量是研究植物中生物活性成分组织分布最常用的方法，但该方法会带来不可控的污染、化合物的迁移和变性。质谱成像（MSI）作为过去 20 年发展起来的一种新方法，在研究化合物的组织分布时，具有灵敏度高、空间分辨率高、可视化程度高、污染和变性风险低的特点。我们首次将基质辅助激光解吸/电离质谱成像（MALDI-MSI）应用于药用植物丹参特征成分的组织分布研究。从采集的数据中，我们发现了根、茎和叶组织的区域差异，以及具有差异分布特征的离子信息。我们还鉴定了丹参中的 18 种生物活性成分及其空间分布信息。此外，我们将植物分为五个部分，利用 LC-MS 分析组织间的差异，验证了 MSI 的结果。结果表明，MALDI-MSI 可用于可靠地研究丹酚酸和丹参酮的差异分布。
