2018
DOI: 10.1002/jms.4210
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Detection of volatile organic compounds in the headspace above mold fungi by GC‐soft X‐radiation–based APCI‐MS

Abstract: Mold fungi on malting barley grains cause major economic loss in malting and brewery facilities. Possible proxies for their detection are volatile and semivolatile metabolites. Among those substances, characteristic marker compounds have to be identified for a confident detection of mold fungi in varying surroundings. The analytical determination is usually performed through passive sampling with solid phase microextraction, gas chromatographic separation, and detection by electron ionization mass spectrometry… Show more

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Cited by 11 publications
(11 citation statements)
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“…The formation of mVOC as volatile metabolites of fungi can occur over a wide and mostly unknown concentration range. Another challenge is the strong variation of the response values of the compounds in APCI . Therefore, a quantitative description of the mVOC space would require an extensive calibration of each substance.…”
Section: Resultsmentioning
confidence: 99%
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“…The formation of mVOC as volatile metabolites of fungi can occur over a wide and mostly unknown concentration range. Another challenge is the strong variation of the response values of the compounds in APCI . Therefore, a quantitative description of the mVOC space would require an extensive calibration of each substance.…”
Section: Resultsmentioning
confidence: 99%
“…Our group already demonstrated the application of an alternative APCI source based on soft X‐radiation in MS. In two publications detailing the detection of explosives in the negative mode and the detection of volatile metabolites of fungi in the positive mode, we could show that the underlying ionization mechanism is more selective. These miniature X‐ray sources, which are not subject to any legal regulations in Germany (photon energy E X‐ray < 5 keV), have already been introduced as alternatives for radioactive 63 Ni sources in ion mobility (IM) spectrometers, eg, by the company Bruker Daltonics (Leipzig, Germany).…”
Section: Introductionmentioning
confidence: 87%
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