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 | 2024-07-30T07:10:50Z | |
dc.date.available | 2024-07-30T07:10:50Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | De 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.uri | http://hdl.handle.net/10394/42642 | |
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. 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 analyses | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.subject | BAYESIL | en_US |
dc.subject | 1 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 |