Attenuated Total Reflection Fourier Transform Infrared (ATR FT-IR) for Rapid Determination of Microbial Cell Lipid Content: Correlation with Gas Chromatography-Mass Spectrometry (GC-MS)

Appl Spectrosc. 2017 Oct;71(10):2344-2352. doi: 10.1177/0003702817709459. Epub 2017 May 30.

Abstract

There is a growing interest worldwide for the production of renewable oil without mobilizing agriculture lands; fast and reliable methods are needed to identify highly oleaginous microorganisms of potential industrial interest. The aim of this study was to demonstrate the relevance of attenuated total reflection (ATR) spectroscopy to achieve this goal. To do so, the total lipid content of lyophilized samples of five Streptomyces strains with varying lipid content was assessed with two classical quantitative but time-consuming methods, gas chromatography-mass spectrometry (GC-MS) and ATR Fourier transform infrared (ATR FT-IR) spectroscopy in transmission mode with KBr pellets and the fast ATR method, often questioned for its lack of reliability. A linear correlation between these three methods was demonstrated allowing the establishment of equations to convert ATR values expressed as CO/amide I ratio, into micrograms of lipid per milligram of biomass. The ATR method proved to be as reliable and quantitative as the classical GC-MS and FT-IR in transmission mode methods but faster and more reproducible than the latter since it involves far less manipulation for sample preparation than the two others. Attenuated total reflection could be regarded as an efficient fast screening method to identify natural or genetically modified oleaginous microorganisms by the scientific community working in the field of bio-lipids.

Keywords: ATR FT-IR; Biofuel; GC-MS; Streptomyces; attenuated total reflection Fourier transform; gas chromatography–mass spectrometry; infrared spectroscopy; lipid quantification; triacylglycerol.

MeSH terms

  • Biofuels
  • Fatty Acids / analysis*
  • Fatty Acids / chemistry
  • Gas Chromatography-Mass Spectrometry / methods*
  • Linear Models
  • Spectroscopy, Fourier Transform Infrared / methods*
  • Streptomyces / chemistry*

Substances

  • Biofuels
  • Fatty Acids