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LAP-MALDI MS profiling and identification of potential biomarkers for the detection of bovine tuberculosis

Lellman, S. E., Reynolds, C. K. ORCID:, Jones, A. K. B., Taylor, N. and Cramer, R. ORCID: (2023) LAP-MALDI MS profiling and identification of potential biomarkers for the detection of bovine tuberculosis. Journal of Agricultural and Food Chemistry, 71 (37). pp. 13899-13905. ISSN 1520-5118

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To link to this item DOI: 10.1021/acs.jafc.3c01879


Detecting bovine tuberculosis (bTB) primarily relies on the tuberculin skin test, requiring two separate animal handling events with a period of incubation time (normally 3 days) between them. Here, we present the use of liquid atmospheric pressure (LAP)-MALDI for the identification of bTB infection, employing a 3-class prediction model that was obtained by supervised linear discriminant analysis (LDA) and tested with bovine mastitis samples as disease-positive controls. Non-invasive collection of nasal swabs was used to collect samples, which were subsequently subjected to a short (<4 hours) sample preparation method. Cross-validation of the 3-class LDA model from the processed nasal swabs provided a sensitivity of 75.0% and specificity of 90.1%, with an overall classification accuracy of 85.7%. These values are comparable to those for the skin test, showing that LAP-MALDI MS has the potential to provide an alternative single-visit diagnostic platform that can detect bTB within the same day of sampling.

Item Type:Article
Divisions:Life Sciences > School of Chemistry, Food and Pharmacy > Department of Chemistry
ID Code:113024
Publisher:American Chemical Society


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