2019
DOI: 10.1016/j.aca.2019.03.032
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Optimized chemical coverage and data quality for non-targeted screening applications using liquid chromatography/high-resolution mass spectrometry

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Cited by 36 publications
(42 citation statements)
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“…A more standard approach to characterize non‐targeted compounds using Compound Discoverer software is to process data collected using non‐targeted “Top‐N” DDMS2, especially when the unknown compounds are present at higher concentrations. Knolhoff et al demonstrated an automated workflow with data collected using non‐targeted DDMS2 and analyzed in Compound Discoverer to detect a wide range of small molecules in complex food matrices. However, the priority of this study was to show the ability to detect and identify residue‐level targeted analytes of regulatory importance while also collecting data for non‐targeted compounds.…”
Section: Resultsmentioning
confidence: 99%
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“…A more standard approach to characterize non‐targeted compounds using Compound Discoverer software is to process data collected using non‐targeted “Top‐N” DDMS2, especially when the unknown compounds are present at higher concentrations. Knolhoff et al demonstrated an automated workflow with data collected using non‐targeted DDMS2 and analyzed in Compound Discoverer to detect a wide range of small molecules in complex food matrices. However, the priority of this study was to show the ability to detect and identify residue‐level targeted analytes of regulatory importance while also collecting data for non‐targeted compounds.…”
Section: Resultsmentioning
confidence: 99%
“…A different approach to collecting MS2 data for non‐targeted compounds is to acquire DDMS2 spectra for ions from the sample that are not on a predefined inclusion list. For example, DDMS2 can be set to acquire MS2 data for the “N” most abundant compounds eluting into the instrument at a given time (“Top N”) . Background ions can be evaluated and put onto an “exclusion list” to increase the likelihood of obtaining MS2 spectra for ions unique to the sample.…”
Section: Introductionmentioning
confidence: 99%
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“…Sample preparation is not addressed in this review but is of the utmost importance in non-targeted methods and is even more challenging in this context, with the high variability of physicochemical properties of the screened compounds. The impact that sample preparation and instrument parameters on data quality and chemical coverage is illustrated in the study of Knolhoff and co-workers [73].…”
Section: Multi-class Analysismentioning
confidence: 99%
“…Mostly, a higher number of metabolites can be detected in positive ionization mode, but this can be strongly dependent on the matrix, the chemical and physical properties of the compounds, the detectable analyte coverage as well as the scientific issue, so that no general statement can actually be made in this regard [ 13 ]. Modern MS devices are able to measure simultaneously in one sample run in positive and negative ion modes albeit with limited scan rates [ 34 ].…”
Section: Introductionmentioning
confidence: 99%