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Evaluation of BAYESIL for automated annotation of 1H NMR data using limited sample volumes: application to African elephant serum.
van Zyl, Christiaan De Wet; van Reenen, Mari; Osthoff, Gernot; du Preez, Ilse.
Afiliación
  • van Zyl CW; Centre for Human Metabolomics, North-West University, Potchefstroom, South Africa.
  • van Reenen M; Centre for Human Metabolomics, North-West University, Potchefstroom, South Africa.
  • Osthoff G; Department of Microbiology and Biochemistry, University of the Free State, Bloemfontein, South Africa.
  • du Preez I; Centre for Human Metabolomics, North-West University, Potchefstroom, South Africa. ilse.dupreez@nwu.ac.za.
Metabolomics ; 19(4): 31, 2023 03 30.
Article en En | MEDLINE | ID: mdl-36995481
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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Elefantes Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Metabolomics Año: 2023 Tipo del documento: Article País de afiliación: Sudáfrica

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Elefantes Tipo de estudio: Prognostic_studies Límite: Animals Idioma: En Revista: Metabolomics Año: 2023 Tipo del documento: Article País de afiliación: Sudáfrica