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dc.contributor.authorDe Wet van Zy, Christiaan
dc.contributor.authorvan Reenen, Mari
dc.contributor.authorOsthof, Gernot
dc.contributor.authordu Preez, Ilse
dc.date.accessioned2023-05-10T08:54:53Z
dc.date.available2023-05-10T08:54:53Z
dc.date.issued2023
dc.identifier.citationDe Wet van Zy, Christiaan van Reenen, Mari Osthof, Gernot du Preez, Ilse.2023.Evaluation of BAYESIL for automated annotation of 1 H NMR data using limited sample volumes: application to African elephant serum.https://doi.org/10.1007/s11306-023-02001-1en_US
dc.identifier.urihttps://doi.org/10.1007/s11306-023-02001-1
dc.identifier.urihttp://hdl.handle.net/10394/41363
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. Perfor mance 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 analyses.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectBAYESILen_US
dc.subjectH 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


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