van Zyl CDW, van Reenen M, Osthoff G, du Preez I. Evaluation of BAYESIL for automated annotation of
1H NMR data using
limited sample volumes: application to African elephant serum.
Metabolomics 2023;
19:31. [PMID:
36995481 PMCID:
PMC10063514 DOI:
10.1007/s11306-023-02001-1]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 03/22/2023] [Indexed: 03/31/2023]
Abstract
INTRODUCTION
Technological advancements enabled the analyses of limited sample volumes on 1H 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 1H 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 1H NMR data analyses.
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