Publication
Impact of the solvent extraction method on the plasma metabolome profile
| dc.contributor.author | Pires, Filipa A. R. | |
| dc.contributor.author | Ramalhete, Luís M. | |
| dc.contributor.author | Ribeiro, Edna | |
| dc.contributor.author | Calado, Cecília | |
| dc.date.accessioned | 2019-05-16T08:31:33Z | |
| dc.date.available | 2019-05-16T08:31:33Z | |
| dc.date.issued | 2019-04-18 | |
| dc.description.abstract | Metabolomics of biofluids as plasma implies the sample pre-processment to eliminate diverse macromolecules as proteins. The optimization of this procedure is conducted according to the main method to analyses the metabolome and the type of metabolites to be studied. In the present work, it was evaluated the effect of diverse processes to eliminate macromolecules from plasma samples on the metabolome profile achieved by mid-infrared spectroscopy. It was evaluated the effect on the metabolome of proteins extraction by methanol, acetone and acetonitrile. The highest efficiency of protein extraction was observed with acetone, been achieved 2.4- and 4.7-fold lower quantities of proteins in relation to methanol and acetonitrile, respectively. This resulted in acetone as the highest reproducible extraction process, i.e. with replicate samples with a more homogenous molecular signature between them, in relation to the other two extraction processes. Despite that, acetone resulted in the spectra with the lowest signal to noise (S/N) ratio that could hamper the biological information output. The extraction with acetonitrile presented a spectrum with a S/N ratio like the obtained with methanol, and 2.7-fold higher than the obtained with acetone. However, it resulted in the lowest reproductible process probably due to the presence of 2.2 more proteins in the final sample in relation to the acetone process. All these observations point that different extraction process will complement each other in the view of a more complete metabolome of a system. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | PIRES, Filipa A. R.; [et al] – Impact of the solvent extraction method on the plasma metabolome profile. In 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG). Lisbon, Portugal: IEEE, 2019. ISBN 978-1-5386-8506-8. Pp. 1-4 | pt_PT |
| dc.identifier.doi | 10.1109/ENBENG.2019.8692496 | pt_PT |
| dc.identifier.isbn | 978-1-5386-8506-8 | |
| dc.identifier.isbn | 978-1-5386-8507-5 | |
| dc.identifier.uri | http://hdl.handle.net/10400.21/10027 | |
| dc.language.iso | eng | pt_PT |
| dc.publisher | Institute of Electrical and Electronics Engineers | pt_PT |
| dc.relation | IDI&CA/IPL/2018/RenalProg/ISEL | pt_PT |
| dc.relation.publisherversion | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8692496 | pt_PT |
| dc.subject | Metabolomics | pt_PT |
| dc.subject | Plasma | pt_PT |
| dc.subject | MIR spectroscopy. | pt_PT |
| dc.title | Impact of the solvent extraction method on the plasma metabolome profile | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | 22-23 Feb. 2019 - Lisbon, Portugal | pt_PT |
| oaire.citation.endPage | 4 | pt_PT |
| oaire.citation.startPage | 1 | pt_PT |
| oaire.citation.title | 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG) | pt_PT |
| person.familyName | Ribeiro | |
| person.familyName | Calado | |
| person.givenName | Edna | |
| person.givenName | Cecília | |
| person.identifier | 130332 | |
| person.identifier.ciencia-id | C414-CDF2-D35A | |
| person.identifier.ciencia-id | 9418-E320-3177 | |
| person.identifier.orcid | 0000-0003-1316-7750 | |
| person.identifier.orcid | 0000-0002-5264-9755 | |
| person.identifier.rid | E-2102-2014 | |
| person.identifier.scopus-author-id | 6603163260 | |
| rcaap.rights | closedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | a571bf34-bcda-49ca-b5cb-4cdecbb3d9c7 | |
| relation.isAuthorOfPublication | e8577257-c64c-4481-9b2b-940fedb360cc | |
| relation.isAuthorOfPublication.latestForDiscovery | e8577257-c64c-4481-9b2b-940fedb360cc |