2018
DOI: 10.1007/978-1-4939-7295-1_15
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Multi-capillary Column Ion Mobility Spectrometry of Volatile Metabolites for Phenotyping of Microorganisms

Abstract: Rational strain engineering requires solid testing of phenotypes including productivity and ideally contributes thereby directly to our understanding of the genotype-phenotype relationship. Actually, the test step of the strain engineering cycle becomes the limiting step, as ever advancing tools for generating genetic diversity exist. Here, we briefly define the challenge one faces in quantifying phenotypes and summarize existing analytical techniques that partially overcome this challenge. We argue that the e… Show more

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Cited by 3 publications
(2 citation statements)
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“…Under atmospheric conditions of IMS, different migration rates of gas‐phase ions pass through a weak electric field to achieve separation and detection [15, 16]. Recently, the incorporation of an ESI source into IMS has broadened its applications, so far covering biological medicine [17–19], food safety [20], agriculture [21, 22], and environmental pollution [23–26]. When combined with HPLC separation, the ESI‐IMS system can be used for both orthogonal separation and characterization of chemicals.…”
Section: Introductionmentioning
confidence: 99%
“…Under atmospheric conditions of IMS, different migration rates of gas‐phase ions pass through a weak electric field to achieve separation and detection [15, 16]. Recently, the incorporation of an ESI source into IMS has broadened its applications, so far covering biological medicine [17–19], food safety [20], agriculture [21, 22], and environmental pollution [23–26]. When combined with HPLC separation, the ESI‐IMS system can be used for both orthogonal separation and characterization of chemicals.…”
Section: Introductionmentioning
confidence: 99%
“…, 2016 ): and can act as inter- and intra-species signals in plants ( Yi et al, 2009 ), and therefore have potential as novel pesticides. In recent years, biogenic volatiles have been exploited to modulate plant physiology ( Sharifi and Ryu, 2016 ; Song et al, 2015 ), to detect diseased or stressed plants ( Jansen et al, 2011 ; Niinemets et al, 2013 ), and to discriminate between bacterial species ( Halbfeld et al, 2018 ; Lough et al, 2017 ; Spinelli et al, 2012 ; Wilson et al, 2004 ).…”
mentioning
confidence: 99%