How to cite this Dataset
Piras, Cristian and Cramer, Rainer (2021): Liquid Atmospheric Pressure MALDI MS for high-throughput diagnosis and antibiotic resistance detection. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/279
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: https://orcid.org/0000-0002-6109-0834 and Cramer, Rainer ORCID: https://orcid.org/0000-0002-8037-2511 |
| Rights-holders: | University of Reading |
| Data Publisher: | University of Reading |
| Publication Year: | 2021 |
| Data last accessed: | 18 December 2024 |
| 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 |
| Rights: | |
| Data Availability: | OPEN |
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