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- Publisher Website: 10.1021/acs.analchem.9b01424
- Scopus: eid_2-s2.0-85069947884
- PMID: 31274283
- WOS: WOS:000476567700047
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Article: ADAP-GC 4.0: Application of Clustering-Assisted Multivariate Curve Resolution to Spectral Deconvolution of Gas Chromatography-Mass Spectrometry Metabolomics Data
Title | ADAP-GC 4.0: Application of Clustering-Assisted Multivariate Curve Resolution to Spectral Deconvolution of Gas Chromatography-Mass Spectrometry Metabolomics Data |
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Authors | |
Issue Date | 2019 |
Citation | Analytical Chemistry, 2019, v. 91, n. 14, p. 9069-9077 How to Cite? |
Abstract | We report a multivariate curve resolution (MCR)-based spectral deconvolution workflow for untargeted gas chromatography-mass spectrometry metabolomics. As an essential step in preprocessing such data, spectral deconvolution computationally separates ions that are in the same mass spectrum but belong to coeluting compounds that are not resolved completely by chromatography. As a result of this computational separation, spectral deconvolution produces pure fragmentation mass spectra. Traditionally, spectral deconvolution has been achieved by using a model peak approach. We describe the fundamental differences between the model peak-based and the MCR-based spectral deconvolution and report ADAP-GC 4.0 that employs the latter approach while overcoming the associated computational complexity. ADAP-GC 4.0 has been evaluated using GC-TOF data sets from a 27-standards mixture at different dilutions and urine with the mixture spiked in, and GC Orbitrap data sets from mixtures of different standards. It produced the average matching scores 960, 959, and 926 respectively. Moreover, its performance has been compared against MS-DIAL, eRah, and ADAP-GC 3.2, and ADAP-GC 4.0 demonstrated a higher number of matched compounds and up to 6% increase of the average matching score. |
Persistent Identifier | http://hdl.handle.net/10722/342590 |
ISSN | 2023 Impact Factor: 6.7 2023 SCImago Journal Rankings: 1.621 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Smirnov, Aleksandr | - |
dc.contributor.author | Qiu, Yunping | - |
dc.contributor.author | Jia, Wei | - |
dc.contributor.author | Walker, Douglas I. | - |
dc.contributor.author | Jones, Dean P. | - |
dc.contributor.author | Du, Xiuxia | - |
dc.date.accessioned | 2024-04-17T07:04:52Z | - |
dc.date.available | 2024-04-17T07:04:52Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Analytical Chemistry, 2019, v. 91, n. 14, p. 9069-9077 | - |
dc.identifier.issn | 0003-2700 | - |
dc.identifier.uri | http://hdl.handle.net/10722/342590 | - |
dc.description.abstract | We report a multivariate curve resolution (MCR)-based spectral deconvolution workflow for untargeted gas chromatography-mass spectrometry metabolomics. As an essential step in preprocessing such data, spectral deconvolution computationally separates ions that are in the same mass spectrum but belong to coeluting compounds that are not resolved completely by chromatography. As a result of this computational separation, spectral deconvolution produces pure fragmentation mass spectra. Traditionally, spectral deconvolution has been achieved by using a model peak approach. We describe the fundamental differences between the model peak-based and the MCR-based spectral deconvolution and report ADAP-GC 4.0 that employs the latter approach while overcoming the associated computational complexity. ADAP-GC 4.0 has been evaluated using GC-TOF data sets from a 27-standards mixture at different dilutions and urine with the mixture spiked in, and GC Orbitrap data sets from mixtures of different standards. It produced the average matching scores 960, 959, and 926 respectively. Moreover, its performance has been compared against MS-DIAL, eRah, and ADAP-GC 3.2, and ADAP-GC 4.0 demonstrated a higher number of matched compounds and up to 6% increase of the average matching score. | - |
dc.language | eng | - |
dc.relation.ispartof | Analytical Chemistry | - |
dc.title | ADAP-GC 4.0: Application of Clustering-Assisted Multivariate Curve Resolution to Spectral Deconvolution of Gas Chromatography-Mass Spectrometry Metabolomics Data | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1021/acs.analchem.9b01424 | - |
dc.identifier.pmid | 31274283 | - |
dc.identifier.scopus | eid_2-s2.0-85069947884 | - |
dc.identifier.volume | 91 | - |
dc.identifier.issue | 14 | - |
dc.identifier.spage | 9069 | - |
dc.identifier.epage | 9077 | - |
dc.identifier.eissn | 1520-6882 | - |
dc.identifier.isi | WOS:000476567700047 | - |