Back to Search
Start Over
Rapid Visualization of Chemically Related Compounds Using Kendrick Mass Defect As a Filter in Mass Spectrometry Imaging
- Source :
- Analytical Chemistry, 91(20), 13112-13118. American Chemical Society, Analytical Chemistry
- Publication Year :
- 2019
- Publisher :
- American Chemical Society (ACS), 2019.
-
Abstract
- Kendrick mass defect (KMD) analysis is widely used for helping the detection and identification of chemically related compounds based on exact mass measurements. We report here the use of KMD as a criterion for filtering complex mass spectrometry dataset. The method enables an automated, easy and efficient data processing, enabling the reconstruction of 2D distributions of family of homologous compounds from MSI images. We show that the KMD filtering, based on an in-house software, is suitable and robust for high resolution (full width at half-maximum, FWHM, at m/z 410 of 20 000) and very high-resolution (FWHM, at m/z 410 of 160 000) MSI data. This method has been successfully applied to two different types of samples, bacteria co-cultures and brain tissue section
- Subjects :
- Bacillus
010402 general chemistry
Mass spectrometry
Proof of Concept Study
01 natural sciences
LIPIDOMICS
Mass spectrometry imaging
Analytical Chemistry
Mice
Data filtering
Pseudomonas
Animals
SPECTRA
TOOL
Organic Chemicals
BRAIN SECTIONS
Chromatography
Kendrick mass
Chemistry
010401 analytical chemistry
Brain
0104 chemical sciences
Molecular Weight
PHOSPHOLIPIDS
Mass
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Algorithms
Software
Subjects
Details
- ISSN :
- 15206882 and 00032700
- Volume :
- 91
- Database :
- OpenAIRE
- Journal :
- Analytical Chemistry
- Accession number :
- edsair.doi.dedup.....1835cb4ba1d7c857b1f73af9f2ab39a5