International NMR-Based Environmental Metabolomics Intercomparison Exercise.
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| Title: | International NMR-Based Environmental Metabolomics Intercomparison Exercise. |
|---|---|
| Authors: | VIANT, MARK R.1 M.Viant@bham.ac.uk, BEARDEN, DANIEL W.2 Dan.Bearden@nist.gov, BUNDY, JACOB C.3, BURTON, IAN W.4, COLLETTE, TIMOTHY W.5, EKMAN, DREW R.5, EZERNIEKS, VILNIS6, KARAKACH, TOBIAS K.4, CHING YU LIN7, ROCHFORT, SIMONE6, DE ROPP, JEFFREY S.8, QUINCY TENG4, TJEERDEMA, RONALD S.8, WALTER, JOHN A.4, HUIFENG WU1 |
| Source: | Environmental Science & Technology. 1/1/2009, Vol. 43 Issue 1, p219-225. 7p. |
| Subject Terms: | *Environmental risk assessment, *Environmental monitoring, *Effect of water pollution on fishes, *Risk assessment of hazardous substances, *Biomarkers, Laboratories, European flounder, Nuclear magnetic resonance spectroscopy, Research methodology, Multivariate analysis, Principal components analysis, Tissue analysis, International cooperation |
| Abstract: | Several fundamental requirements must be met so that NMR-based metabolomics and the related technique of metabonomics can be formally adopted into environmental monitoring and chemical risk assessment. Here we report an intercomparison exercise which has evaluated the effectiveness of ¹H NMR metabolomics to generate comparable data sets from environmentally derived samples. It focuses on laboratory practice that follows sample collection and metabolite extraction, specifically the final stages of sample preparation, NMR data collection (500, 600, and 800 MHz), data processing, and multivariate analysis. Seven laboratories have participated from the U.S.A., Canada, U.K., and Australia, generating a total of ten data sets. Phase 1 comprised the analysis of synthetic metabolite mixtures, while Phase 2 investigated European flounder (Platichthys flesus) liver extracts from clean and contaminated sites. Overall, the comparability of data sets from the participating laboratories was good. Principal components analyses (PCA) of the individual data sets yielded ten highly similar scores plots for the synthetic mixtures, with a comparable result for the liver extracts. Furthermore, the same metabolic biomarkers that discriminated fish from clean and contaminated sites were discovered by all the laboratories. PCA of the combined data sets showed excellent clustering of the multiple analyses. These results demonstrate that NMR-based metabolomics can generate data that are sufficiently comparable between laboratories to support its continued evaluation for regulatory environmental studies. [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Science & Technology is the property of American Chemical Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
| FullText | Text: Availability: 0 |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 36395102 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: International NMR-Based Environmental Metabolomics Intercomparison Exercise. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22VIANT%2C+MARK+R%2E%22">VIANT, MARK R.</searchLink><relatesTo>1</relatesTo><i> M.Viant@bham.ac.uk</i><br /><searchLink fieldCode="AR" term="%22BEARDEN%2C+DANIEL+W%2E%22">BEARDEN, DANIEL W.</searchLink><relatesTo>2</relatesTo><i> Dan.Bearden@nist.gov</i><br /><searchLink fieldCode="AR" term="%22BUNDY%2C+JACOB+C%2E%22">BUNDY, JACOB C.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22BURTON%2C+IAN+W%2E%22">BURTON, IAN W.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22COLLETTE%2C+TIMOTHY+W%2E%22">COLLETTE, TIMOTHY W.</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22EKMAN%2C+DREW+R%2E%22">EKMAN, DREW R.</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22EZERNIEKS%2C+VILNIS%22">EZERNIEKS, VILNIS</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22KARAKACH%2C+TOBIAS+K%2E%22">KARAKACH, TOBIAS K.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22CHING+YU+LIN%22">CHING YU LIN</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22ROCHFORT%2C+SIMONE%22">ROCHFORT, SIMONE</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22DE+ROPP%2C+JEFFREY+S%2E%22">DE ROPP, JEFFREY S.</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22QUINCY+TENG%22">QUINCY TENG</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22TJEERDEMA%2C+RONALD+S%2E%22">TJEERDEMA, RONALD S.</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22WALTER%2C+JOHN+A%2E%22">WALTER, JOHN A.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22HUIFENG+WU%22">HUIFENG WU</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Science+%26+Technology%22">Environmental Science & Technology</searchLink>. 1/1/2009, Vol. 43 Issue 1, p219-225. 7p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Environmental+risk+assessment%22">Environmental risk assessment</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+monitoring%22">Environmental monitoring</searchLink><br />*<searchLink fieldCode="DE" term="%22Effect+of+water+pollution+on+fishes%22">Effect of water pollution on fishes</searchLink><br />*<searchLink fieldCode="DE" term="%22Risk+assessment+of+hazardous+substances%22">Risk assessment of hazardous substances</searchLink><br />*<searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink><br /><searchLink fieldCode="DE" term="%22Laboratories%22">Laboratories</searchLink><br /><searchLink fieldCode="DE" term="%22European+flounder%22">European flounder</searchLink><br /><searchLink fieldCode="DE" term="%22Nuclear+magnetic+resonance+spectroscopy%22">Nuclear magnetic resonance spectroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Principal+components+analysis%22">Principal components analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Tissue+analysis%22">Tissue analysis</searchLink><br /><searchLink fieldCode="DE" term="%22International+cooperation%22">International cooperation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Several fundamental requirements must be met so that NMR-based metabolomics and the related technique of metabonomics can be formally adopted into environmental monitoring and chemical risk assessment. Here we report an intercomparison exercise which has evaluated the effectiveness of ¹H NMR metabolomics to generate comparable data sets from environmentally derived samples. It focuses on laboratory practice that follows sample collection and metabolite extraction, specifically the final stages of sample preparation, NMR data collection (500, 600, and 800 MHz), data processing, and multivariate analysis. Seven laboratories have participated from the U.S.A., Canada, U.K., and Australia, generating a total of ten data sets. Phase 1 comprised the analysis of synthetic metabolite mixtures, while Phase 2 investigated European flounder (Platichthys flesus) liver extracts from clean and contaminated sites. Overall, the comparability of data sets from the participating laboratories was good. Principal components analyses (PCA) of the individual data sets yielded ten highly similar scores plots for the synthetic mixtures, with a comparable result for the liver extracts. Furthermore, the same metabolic biomarkers that discriminated fish from clean and contaminated sites were discovered by all the laboratories. PCA of the combined data sets showed excellent clustering of the multiple analyses. These results demonstrate that NMR-based metabolomics can generate data that are sufficiently comparable between laboratories to support its continued evaluation for regulatory environmental studies. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Science & Technology is the property of American Chemical Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1021/es802198z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 219 Subjects: – SubjectFull: Environmental risk assessment Type: general – SubjectFull: Environmental monitoring Type: general – SubjectFull: Effect of water pollution on fishes Type: general – SubjectFull: Risk assessment of hazardous substances Type: general – SubjectFull: Biomarkers Type: general – SubjectFull: Laboratories Type: general – SubjectFull: European flounder Type: general – SubjectFull: Nuclear magnetic resonance spectroscopy Type: general – SubjectFull: Research methodology Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Principal components analysis Type: general – SubjectFull: Tissue analysis Type: general – SubjectFull: International cooperation Type: general Titles: – TitleFull: International NMR-Based Environmental Metabolomics Intercomparison Exercise. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: VIANT, MARK R. – PersonEntity: Name: NameFull: BEARDEN, DANIEL W. – PersonEntity: Name: NameFull: BUNDY, JACOB C. – PersonEntity: Name: NameFull: BURTON, IAN W. – PersonEntity: Name: NameFull: COLLETTE, TIMOTHY W. – PersonEntity: Name: NameFull: EKMAN, DREW R. – PersonEntity: Name: NameFull: EZERNIEKS, VILNIS – PersonEntity: Name: NameFull: KARAKACH, TOBIAS K. – PersonEntity: Name: NameFull: CHING YU LIN – PersonEntity: Name: NameFull: ROCHFORT, SIMONE – PersonEntity: Name: NameFull: DE ROPP, JEFFREY S. – PersonEntity: Name: NameFull: QUINCY TENG – PersonEntity: Name: NameFull: TJEERDEMA, RONALD S. – PersonEntity: Name: NameFull: WALTER, JOHN A. – PersonEntity: Name: NameFull: HUIFENG WU IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 1/1/2009 Type: published Y: 2009 Identifiers: – Type: issn-print Value: 0013936X Numbering: – Type: volume Value: 43 – Type: issue Value: 1 Titles: – TitleFull: Environmental Science & Technology Type: main |
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