2009
DOI: 10.1111/j.1567-1364.2009.00491.x
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Direct spectroscopic (FTIR) detection of intraspecific binary contaminations in yeast cultures

Abstract: Fourier transform infrared spectroscopy has proved to be a good method to identify and characterize microorganisms. This technique has been proposed as a tool to determine the level of contamination in binary mixtures of strains belonging to different species and even to diverse kingdoms, showing a good linear relationship between spectral outputs and contamination levels. The monitoring of intraspecific contamination is a critical point in both laboratory practice and industrial monitoring, but it is challeng… Show more

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Cited by 14 publications
(5 citation statements)
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References 18 publications
(27 reference statements)
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“…The first is interested in looking at all metabolites simultaneously, identifying and quantifying specific compounds, and clustering them into specific categories or conditions. For that, multivariate analysis such as cluster analysis, principal component analysis or partial least-squares are commonly used (Allen et al, 2003;Henschke et al, 2006;Rellini et al, 2009). In targeted profiling, metabolite identification and quantification is achieved by comparing the spectrum of interest to a library of reference spectra of pure compounds.…”
Section: Metabolomicsmentioning
confidence: 99%
“…The first is interested in looking at all metabolites simultaneously, identifying and quantifying specific compounds, and clustering them into specific categories or conditions. For that, multivariate analysis such as cluster analysis, principal component analysis or partial least-squares are commonly used (Allen et al, 2003;Henschke et al, 2006;Rellini et al, 2009). In targeted profiling, metabolite identification and quantification is achieved by comparing the spectrum of interest to a library of reference spectra of pure compounds.…”
Section: Metabolomicsmentioning
confidence: 99%
“…Studies are published on changes in chemical composition during hyphal growth and morphogenesis (Adt et al 2006 ; Jilkine et al 2007 ; Szeghalmi et al 2007 ), detection of fungi in different plant substrates (Kos et al 2002 ; Naumann et al 2005 ), differentiation of plant pathogen isolates, molds, and fungi in food industry (Lecellier et al 2015 ; Pomerantza et al 2014 ; Salman et al 2012 ; Shapaval et al 2010 ), and processes involving fungi such as substance transformations, decomposition, and carbon sequestration (Jeewani et al 2021 ; Mrnka et al 2020 ). The method has also been suggested to distinguish between fungal species (Adt et al 2006 ; Essendoubi et al 2005 ; Fischer et al 2006 ; Lecellier et al 2015 ; Naumann et al 2005 ; Rellini et al 2009 ; Santos et al 2010 ). Most studies of species’ differences have used fungal isolates grown under controlled growth conditions (e.g., Lecellier et al 2014 ; Naumann et al 2005 ) to avoid alterations of spectra due to fungal responses to environmental changes (Pena et al 2014 ).…”
Section: Introductionmentioning
confidence: 99%
“…Studies are published on changes in chemical composition during hyphal growth and morphogenesis (Adt et al 2006;Jilkine et al 2007;Szeghalmi et al 2007), detection of fungi in different plant substrates (Kos et al 2002;Naumann et al 2005), differentiation of plant pathogen isolates, molds, and fungi in food industry (Lecellier et al 2015;Pomerantza et al 2014;Salman et al 2012;Shapaval et al 2010), and processes involving fungi such as substance transformations, decomposition, and carbon sequestration (Jeewani et al 2021;Mrnka et al 2020). The method has also been suggested to distinguish between fungal species (Adt et al 2006;Essendoubi et al 2005;Fischer et al 2006;Lecellier et al 2015;Naumann et al 2005;Rellini et al 2009;Santos et al 2010). Most studies of species' differences have used fungal isolates grown under controlled growth conditions (e.g., Lecellier et al 2014;Naumann et al 2005) to avoid alterations of spectra due to fungal responses to environmental changes (Pena et al 2014).…”
Section: Introductionmentioning
confidence: 99%