How to cite this Dataset
Piras, Cristian and Cramer, Rainer (2020): Speciation and adulteration analysis of milk by liquid AP-MALDI MS profiling. University of Reading. Dataset. https://doi.org/10.17864/1947.232
Description
AP-MALDI MS profiling coupled with multivariate analysis for speciation and the detection of food adulteration using a simple one-pot sample preparation of milk.
Milk samples from cow, goat, sheep and camel were classified with 100% accuracy. With respect to milk adulteration, it was possible to detect goat milk adulterated with 5% cow milk with 92.45% sensitivity and 94.53% specificity. Goat milk adulterated with 10% cow milk was detected with 99.15% sensitivity and 99.10% specificity.
| 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: | 2020 |
| Data last accessed: | 18 December 2024 |
| DOI: | https://doi.org/10.17864/1947.232 |
| Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/232 |
| Organisational units: | Life Sciences > School of Chemistry, Food and Pharmacy > Department of Chemistry |
| Participating Organisations: | University of Reading |
| Keywords: | food adulteration, MALDI MS profiling, top down proteomics |
| Rights: | |
| Data Availability: | OPEN |
