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Analysis of bacterial FAMEs using gas chromatography - vacuum ultraviolet spectroscopy for the identification and discrimination of bacteria.
Santos, Inês C; Smuts, Jonathan; Choi, Woo-Sik; Kim, Younghoon; Kim, Seoung Bum; Schug, Kevin A.
Afiliação
  • Santos IC; Department of Chemistry and Biochemistry, The University of Texas at Arlington, Arlington, TX, USA.
  • Smuts J; VUV Analytics, Inc., Cedar Park, TX, USA.
  • Choi WS; Department of Industrial Management Engineering, Korea University, Seoul, Rupublic of Korea.
  • Kim Y; Department of Industrial Management Engineering, Korea University, Seoul, Rupublic of Korea.
  • Kim SB; Department of Industrial Management Engineering, Korea University, Seoul, Rupublic of Korea.
  • Schug KA; Department of Chemistry and Biochemistry, The University of Texas at Arlington, Arlington, TX, USA. Electronic address: kschug@uta.edu.
Talanta ; 182: 536-543, 2018 May 15.
Article em En | MEDLINE | ID: mdl-29501189
ABSTRACT
The identification of microorganisms is very important in different fields and alternative methods are necessary for a rapid and simple identification. The use of fatty acids for bacterial identification is gaining attention as phenotypic characteristics are reflective of the genotype and are more easily analyzed. In this work, gas chromatography-vacuum ultraviolet spectroscopy (GC-VUV) was used to determine bacteria fatty acid methyl esters (FAMEs), to identify and discriminate different environmental bacteria based on their fatty acid profile. Microorganisms were grown in agar and their fatty acids extracted, saponified, and esterified before analysis. Unique FAME profiles were obtained for each microorganism mainly composed of branched, cyclopropane, hydroxy, saturated, and unsaturated fatty acid methyl esters. S. maltophilia showed a higher diversity of fatty acids while Bacillus species showed higher complexity in terms of branched-chain FAMEs, with several iso and anteiso forms. 12 different bacteria genera and 15 species were successfully differentiated based on their fatty acid profiles after performing PCA and cluster analysis. Some difficult to differentiate species, such as Bacillus sp., which are genetically very similar, were differentiated with the developed method.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Água Subterrânea / Cromatografia Gasosa / Ácidos Graxos / Espectroscopia Fotoeletrônica Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Água Subterrânea / Cromatografia Gasosa / Ácidos Graxos / Espectroscopia Fotoeletrônica Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article