Show simple item record

dc.contributor.authorDe Wet van Zy, Christiaan
dc.contributor.authorVan Reenen, Mari
dc.contributor.authorOsthof, Gernot
dc.contributor.authorDu Preez, Ilse
dc.date.accessioned2024-07-30T07:10:50Z
dc.date.available2024-07-30T07:10:50Z
dc.date.issued2023
dc.identifier.citationDe Wet van Zyl, C. et al. 2023. Evaluation Of Bayesil For Automated Annotation Of 1 H Nmr Data Using Limited Sample Volumes: Application To African Elephant Serum. Metabolomics (2023) 19:31 [https://doi.org/10.1007/s11306-023-02001-1]en_US
dc.identifier.urihttp://hdl.handle.net/10394/42642
dc.description.abstractIntroduction Technological advancements enabled the analyses of limited sample volumes on 1 H NMR. Manual spectral profiling of the data is, however, complex, and timely. Objective To evaluate the performance of BAYESIL for automated identification and quantification of 1 H NMR spectra of limited volume samples. Method Aliquots of a pooled African elephant serum sample were analyzed using standard and reduced volumes. Performance was evaluated on confidence scores, non-detects and laboratory CV. Results Of the 47 compounds detected, 28 had favorable performances. The approach could differentiate samples based on biological variation. Conclusions BAYESIL is valuable for limited sample 1 H NMR data analysesen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectBAYESILen_US
dc.subject1 H NMRen_US
dc.subjectLimited sample volumeen_US
dc.subjectSerumen_US
dc.subjectElephanten_US
dc.titleEvaluation Of Bayesil For Automated Annotation Of 1 H Nmr Data Using Limited Sample Volumes: Application To African Elephant Serumen_US
dc.typeArticleen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record