通过质谱成像和超高效液相色谱-超高分辨质谱分析芦荟叶片中代谢物的空间分布。
Analysis of the spatial distribution of metabolites in Aloe vera leaves by mass spectrometry imaging and UHPLC-UHRMS.
作者信息
Krupa Sumi, Ruman Tomasz, Szuberla Wiktoria, Nizioł Joanna
机构信息
Doctoral School, Rzeszów University of Technology, 8 Powstańców Warszawy Ave., Rzeszów, 35-959, Poland.
Department of Inorganic and Analytical Chemistry, Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave., Rzeszów, 35-959, Poland.
出版信息
Sci Rep. 2025 Jan 28;15(1):3502. doi: 10.1038/s41598-025-88144-8.
This study presents an investigation of the chemical composition of Aloe vera leaf tissue with a focus on the spatial distribution of compounds. The composition was studied using two mass spectrometry imaging techniques: silver-109 nanoparticles assisted laser desorption/ionization mass spectrometry imaging (AgNPs-LDI-MSI) and laser ablation-remote atmospheric pressure photoionization/chemical ionization mass spectrometry imaging (LARAPPI/CI-MSI) and the identification was aided by ultra-high-performance liquid chromatography and ultra-high-resolution mass spectrometry (UHPLC-UHRMS) analysis. The results showed an abundance of phenolic compounds with antioxidant, antimicrobial, and anti-inflammatory properties, making it a beneficial food additive and food packaging material. Analysis of the results of mass spectrometry imaging provided information about the potential changes in metabolic pathway expression in different regions of the leaf.
本研究对库拉索芦荟叶组织的化学成分进行了调查，重点关注化合物的空间分布。使用两种质谱成像技术研究其成分：银-109纳米颗粒辅助激光解吸/电离质谱成像（AgNPs-LDI-MSI）和激光烧蚀-远程大气压光电离/化学电离质谱成像（LARAPPI/CI-MSI），并通过超高效液相色谱和超高分辨率质谱（UHPLC-UHRMS）分析辅助鉴定。结果显示存在大量具有抗氧化、抗菌和抗炎特性的酚类化合物，使其成为一种有益的食品添加剂和食品包装材料。质谱成像结果分析提供了有关叶片不同区域代谢途径表达潜在变化的信息。
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