RESUMO
Traditional Chinese medicine （TCM）， which owns abundant chemical components and complex action pathways， has been widely recognized in the prevention and treatment of diseases. Some analysis methods have been emerged in order to ensure the quality of TCM and to develop new TCM drugs. Matrix-assisted laser desorption ionization mass spectrometry （MALDI-MS） is a soft ionization mass spectrometric technique with the advantages of high throughput， high sensitivity， low cost and so on. It provides technical support for the molecular level study on TCM. At present， this technique has been used in the field of composition analysis and metabonomics research of TCM， and plays an important role in the identification of Chinese herbal medicines， real-time molecular screening and the construction of metabolic network pathway of active ingredients. Among them， the selection of appropriate matrix and sample preparation technology is the key to ensure the detection effect of MALDI-MS. With the development and optimization of new matrix， the continuous improvement of sample preparation technology and the combination of MALDI-MS with various analytical methods will greatly improve the detection effect. Based on this， this paper discusses the application of MALDI-MS in TCM， including high-throughput detection of active ingredients in TCM， monitoring of the original medicines and their metabolites in vivo， and in situ visualization and characterization of tissue distribution information of active ingredients in TCM. It also discusses the application prospect and existing problems of MALDI-MS in TCM， so as to provide technical support for the identification of active ingredients in TCM， drug utilization and metabolism.
RESUMO
In this study, a method was established for in-situ visualization of metabolite distribution in the rhizome of Paris polyphylla var. yunnanensis. To be specific, through matrix-assisted laser desorption/ionization-mass spectrometry imaging(MALDI-MSI), the spatial locations of steroidal saponins, amino acids, organic acids, phytosterols, phytoecdysones, nucleosides, and esters in rhizome of the medicinal plant were directly analyzed, and six unknown compounds with differential distribution in rhizome tissues were identified. The specific procedure is as follows: preparation of rhizome tissue section, matrix screening and optimization, and MALDI-MSI analysis. The results showed that the steroidal saponins were mainly distributed in the central, amino acids in epidermis and cortex, low-molecular-weight organic acids in central epidermis, phytosterols in the epidermis and lateral cortex, the phytoecdysones in epidermis and cortex, nucleosides(uneven distribution) in epidermis and cortex, growth hormones around the epidermis and cortex, particularly outside the cortex, and esters in cortex with unobvious difference among different tissues. In this study, the spatial distribution of meta-bolites in the rhizome of P. polyphylla var. yunnanensis was characterized for the first time. The result can serve as a reference for identifying and extracting endogenous metabolites of P. polyphylla var. yunnanensis, exploring the synthesis and metabolism mechanisms of the metabolites, and evaluating the quality of medicinal materials.