Non-target protein analysis of samples from wastewater treatment plants using the regions of interest-multivariate curve resolution (ROIMCR) chemometrics method
| Autor: | Joaquín Abián, Damià Barceló, Carlos Perez-Lopez, Antoni Ginebreda, Montserrat Carrascal, Romà Tauler |
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| Přispěvatelé: | Ministerio de Ciencia e Innovación (España), Barceló, Damià [0000-0002-8873-0491], Tauler, Romà [0000-0001-8559-9670], Barceló, Damià, Tauler, Romà |
| Rok vydání: | 2021 |
| Předmět: |
Multivariate statistics
Regions of interest 02 engineering and technology 010501 environmental sciences 01 natural sciences Least squares Chemometrics Chemical Engineering (miscellaneous) Cluster analysis Waste Management and Disposal 0105 earth and related environmental sciences Chromatography Chemistry Elution Process Chemistry and Technology Environmental proteomics Sampling (statistics) Multivariate curve resolution 021001 nanoscience & nanotechnology Wastewater treatmentt plan Pollution Non-target analysis Wastewater Principal component analysis 0210 nano-technology |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname Digital.CSIC: Repositorio Institucional del CSIC Consejo Superior de Investigaciones Científicas (CSIC) |
| Popis: | s applied to the results of ROIMCR and PLS-DA, compared with the results obtained considering only the unprocessed ROI data. Finally, when ROIMCR and PLS-DA results were analyzed using Proteome Discoverer, 281, 314, and 58 peptides were respectively identified at the three sampling sites in the case of ROIMCR, and 137, 123, and 31 peptides in the case of PLS-DA. From these peptides, a total number of 38 proteins are postulated to be present in the WWTP analyzed samples. This work has been supported by the Spanish Ministry of Science and Innovation (MICINN, Spain) (Projects CEX2018-000794-S, PID2019-105732GB and IBERAQUA-NET RED2018-102737-T). Carlos Pérez acknowledges the predoctoral Severo Ochoa FPI 2019-090182 scholarship from MICINN. |
| Databáze: | OpenAIRE |
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