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Rapid and Sensitive Direct Detection of Endotoxins by Pyrolysis-Gas Chromatography-Mass Spectrometry.
Jackie, Jackie; Chua, Chun Kiang; Chong, Douglas Chiang Yon; Lim, Si Ying; Li, Sam Fong Yau.
Afiliação
  • Jackie J; Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543, Singapore.
  • Chua CK; Shimadzu (Asia Pacific) Pte Ltd, 79 Science Park Drive, #02-01/08 Cintech IV Science Park 1, Singapore 118264, Singapore.
  • Chong DCY; Shimadzu (Asia Pacific) Pte Ltd, 79 Science Park Drive, #02-01/08 Cintech IV Science Park 1, Singapore 118264, Singapore.
  • Lim SY; Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543, Singapore.
  • Li SFY; Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore 117543, Singapore.
ACS Omega ; 6(23): 15192-15198, 2021 Jun 15.
Article em En | MEDLINE | ID: mdl-34151098
ABSTRACT
The capability of pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS) for the direct analysis of endotoxins is demonstrated in this research article using the lipopolysaccharides of Pseudomonas aeruginosa 10. Analytical methods based on evolved gas analysis-MS, single-shot (SS) Py-GC-MS, and multishot heart cut Py-GC-MS were investigated. Among the various methods developed, the SS Py-GC-MS method shows superior potential for identifying bacterial endotoxins effectively through their biomarkers. The results obtained were validated with conventional mass spectral analysis after hydrolysis. The method was also evaluated for its robustness based on quality control criteria indicated by the U.S. EPA Method 8270D. When applied onto endotoxins of different Gram-negative bacteria, this method produced vastly distinct pyrograms. The results show that rapid and sensitive direct detection of endotoxins is possible with the Py-GC-MS method developed.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article