University of Reading Research Data Archive

Liquid Atmospheric Pressure MALDI MS for high-throughput diagnosis and antibiotic resistance detection

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Description

AP-MALDI MS profiling coupled with multivariate analysis for the detection of farm-related diseases using a simple one-pot sample preparation of milk.

Milk samples were collected at the Centre for Dairy Research (CEDAR) of University of Reading (UK). The analysis performed on the test set allowed the detection of clinical mastitis with a correct classification rate of 98.57% and the correct detection of mastitis 2 days before the clinical event with a sensitivity of 70% and a specificity of 100%.

Resource Type: Dataset
Creators: Piras, Cristian ORCID logoORCID: https://orcid.org/0000-0002-6109-0834 and Cramer, Rainer ORCID logoORCID: https://orcid.org/0000-0002-8037-2511
Rights-holders: University of Reading
Data Publisher: University of Reading
Publication Year: 2021
Data last accessed: 26 June 2022
DOI: https://doi.org/10.17864/1947.000279
Metadata Record URL: https://researchdata.reading.ac.uk/id/eprint/279
Organisational units: Life Sciences > School of Chemistry, Food and Pharmacy > Department of Chemistry
Participating Organisations: University of Reading
Keywords: mass spectrometry, bovine mastitis, antibiotic resistance, spectral profiling, ambient ionisation MS, multivariate analysis
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