2023
DOI: 10.1016/j.jhazmat.2023.131486
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InSpectra – A platform for identifying emerging chemical threats

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Cited by 8 publications
(6 citation statements)
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References 48 publications
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“…Some of the differences between PCAs can potentially be attributed to the need for file conversion for open-source software. SAFD (via InSpectra) and MSDial have the advantage that files do not have to be converted by the user themselves, accepting the most common vendor formats which can be directly uploaded/used. However, there is still an automated conversion step included in the processing to get the files into an open-source format such as mzXML or mzML.…”
Section: Resultsmentioning
confidence: 99%
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“…Some of the differences between PCAs can potentially be attributed to the need for file conversion for open-source software. SAFD (via InSpectra) and MSDial have the advantage that files do not have to be converted by the user themselves, accepting the most common vendor formats which can be directly uploaded/used. However, there is still an automated conversion step included in the processing to get the files into an open-source format such as mzXML or mzML.…”
Section: Resultsmentioning
confidence: 99%
“…Once acquired, all data files were processed using five different peak-picking algorithms in four different software (MV (v1.3.1), SCIEX OS (v2.2), MSDial (v4.70), self-adjusting feature detection (SAFD; v0.5.39) , ). MV software was used with two different algorithms [referred to as MV (peak-finder) and MV-Integrated from Raw Data (MV-IFRD; integrating data using peak extents instead of using peak-finder data)].…”
Section: Methodsmentioning
confidence: 99%
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“…With PatRoon, comparison between algorithms is possible, and feature coverage can be increased by utilizing both common and distinctive features among algorithms. InSpectra, an open-source and modular web-based NTS and suspect screening workflow, was released in 2023 [ 18 ]. LC-HRMS data can be archived, shared, and curated through parallel computing with InSpectra.…”
Section: Current Data Evaluation Trends In Ntsmentioning
confidence: 99%