Your browser doesn't support javascript.
loading
Expanding lipidome coverage using MS/MS-aided untargeted data-independent RP-UPLC-TOF-MSE acquisition.
Vorkas, Panagiotis A.
Afiliação
  • Vorkas PA; Section of Biomolecular Medicine, Division of Computational & Systems Medicine, Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, Sir Alexander Fleming Bldg., South Kensington Campus, London SW7 2AZ, UK.
Bioanalysis ; 10(5): 307-319, 2018 Mar 01.
Article em En | MEDLINE | ID: mdl-29494215
ABSTRACT
Lipid function and importance in disease are being rediscovered due to modern advancements in chemical analysis. RP-UPLC-TOF-MSE is now the lipidomics tool of choice and can provide the demanded specificity for detecting the great diversity of the lipidome. It can offer simplicity, rapidity, robustness and high throughputness, without the need for further optimization in current sample preparation protocols. This method can cover the major lipid categories with the ability to detect several corresponding subclasses. It can deliver adequate information for deciphering fatty chain length, unsaturation and regioisomerism. It has enabled the detection of a vast number of lipids, of which more than 250 are reported here. These lipids were detected from applications in a variety of biological matrices and species.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cromatografia Líquida de Alta Pressão / Espectrometria de Massas em Tandem / Lipídeos Limite: Animals / Humans Idioma: En Revista: Bioanalysis Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cromatografia Líquida de Alta Pressão / Espectrometria de Massas em Tandem / Lipídeos Limite: Animals / Humans Idioma: En Revista: Bioanalysis Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido