dc.contributor.author | De Wet van Zy, Christiaan | |
dc.contributor.author | van Reenen, Mari | |
dc.contributor.author | Osthof, Gernot | |
dc.contributor.author | du Preez, Ilse | |
dc.date.accessioned | 2023-05-10T08:54:53Z | |
dc.date.available | 2023-05-10T08:54:53Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | De 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/s11306-023-02001-1 | en_US |
dc.identifier.uri | https://doi.org/10.1007/s11306-023-02001-1 | |
dc.identifier.uri | http://hdl.handle.net/10394/41363 | |
dc.description.abstract | Introduction 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.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.subject | BAYESIL | en_US |
dc.subject | H NMR | en_US |
dc.subject | Limited sample volume | en_US |
dc.subject | Serum | en_US |
dc.subject | Elephant | en_US |
dc.title | Evaluation of BAYESIL for automated annotation of 1 H NMR data using limited sample volumes: application to African elephant serum | en_US |
dc.type | Article | en_US |