Rapid Visualization of Chemically Related Compounds Using Kendrick Mass Defect As a Filter in Mass Spectrometry Imaging.
Anal Chem
; 91(20): 13112-13118, 2019 10 15.
Article
en En
| MEDLINE
| ID: mdl-31509388
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 data set. The method allow automated, easy and efficient data processing, enabling the reconstruction of 2D distributions of families of homologous compounds from MSI images. We show that KMD filtering, based on in-house software, is suitable and robust for high resolution (full width at half-maximum, fwhm, at m/z 410 of 20â¯000) and very high-resolution (fwhm, at m/z 410 of 160â¯000) MSI data. This method has been successfully applied to two different types of samples, bacteria cocultures, and brain tissue sections.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Compuestos Orgánicos
/
Espectrometría de Masa por Láser de Matriz Asistida de Ionización Desorción
Tipo de estudio:
Prognostic_studies
Límite:
Animals
Idioma:
En
Revista:
Anal Chem
Año:
2019
Tipo del documento:
Article
País de afiliación:
Bélgica