Exploration and advance of key techniques in MALDI mass spectrometry imaging
10.16438/j.0513-4870.2022-0981
- VernacularTitle:MALDI质谱成像中的关键技术探讨及其研究进展
- Author:
Lu-yuan QIN
1
;
Chuang WANG
2
;
Bin XU
1
;
Lei GUO
1
;
Jian-wei XIE
1
Author Information
1. State Key Laboratory of Toxicology and Medical Countermeasures, Institute of Pharmacology and Toxicology, Academy of Military Medical Sciences, Beijing 100850, China
2. State Key Laboratory of Toxicology and Medical Countermeasures, Institute of Pharmacology and Toxicology, Academy of Military Medical Sciences, Beijing 100850, China; Key Laboratory of Ethnic Medicine in Ministry of Education, College of Pharmacy, Minzu University of China, Beijing 100081, China
- Publication Type:Research Article
- Keywords:
matrix-assisted laser desorption/ionization;
mass spectrometry imaging;
sample preparation;
ata analysis;
application advance
- From:
Acta Pharmaceutica Sinica
2023;58(1):63-75
- CountryChina
- Language:Chinese
-
Abstract:
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a new imaging technique with label-free, rapid, and high throughput features. It has bloomed in the analysis on the spatial distribution of biomolecules such as drugs, metabolites, peptides and proteins on the tissue surface in virtue of providing high data throughput from non-targeted full analysis and high accuracy from targeted analysis. The acquisition of MSI signal response with high sensitivity, high spatial resolution, and good stability is directly depended on the appropriate sample preparation approaches, and flexible and various data processing tools will help the non-target data mining to meet the demands of visualization, spatial distribution and multiple index applications so as to reveal the scientific rules beneath the data. This review briefly summarizes the key advances in MALDI-MSI from aspects of sample preparation procedures, data processing and visualization. It also illustrates the characteristics, difficulties and probable solutions derived from these key techniques.
