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Exploring the potential of NTME/GC-MS, in the establishment of urinary volatomic profiles. Lung cancer patients as case study

2018Journal article Open access
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dc.contributor.authorPorto-Figueira, Priscilla
dc.contributor.authorPereira, Jorge
dc.contributor.authorMiekisch, Wolfram
dc.contributor.authorCâmara, José S.
dc.date.accessioned2019-07-26T09:13:50Z
dc.date.available2019-07-26T09:13:50Z
dc.date.issued2018
dc.description.abstractThe growing cancer incidence and mortality worldwide claims for the development of novel diagnostic strategies. In this study we aimed to explore the potential of an innovative methodology, based on a needle trap microextraction (NTME), combined with gas chromatography-mass spectrometry (GC-MS), as new approach to isolate and profile urinary volatile organic metabolites (VOMs) from lung cancer (LC) patients and healthy individuals (CTRL). In this context, different experimental parameters with influence of NTME extraction efficiency including, temperature, equilibration time, headspace volume, ionic strength, pH, effects of sample volume and stirring, were investigated and optimized. For the DVB/CarX/Car1000 needle trap device (NTD), the best results were obtained using 40 mL headspace of a 4-mL acidified (pH = 2) urine sample with 20% NaCl and an extraction temperature of 50 °C for 40 min of equilibration time. The stability of the isolated VOMs was investigated up to 72 h after extraction. From the VOMs identified, belonging namely to ketones, sulphur and benzene derivatives, 98 presented a frequency of occurrence above 90%. Data were processed by discriminant analysis, retrieving differentiated clusters for LC and CTRL groups. As far we are aware, this is the first study using NTME/GC-MS to establish urinary volatomic profiles. Preliminary results are very promising, as broad and comprehensive volatile profiles were obtained. Moreover, the extended storage stability of the NTD devices opens new opportunities for sampling other matrices in a wide range of applications.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPorto-Figueira, P., Pereira, J., Miekisch, W., & Câmara, J. S. (2018). Exploring the potential of NTME/GC-MS, in the establishment of urinary volatomic profiles. Lung cancer patients as case study. Scientific reports, 8(1), 13113.pt_PT
dc.identifier.doi10.1038/s41598-018-31380-ypt_PT
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/10400.13/2514
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherNature Researchpt_PT
dc.relationStrategic Project - UI 674 - 2014
dc.relationEXPLORING THE VOLATOME OF NONCOMMUNICABLE DISEASES AS A PROMISING, INNOVATIVE AND INTEGRATING APPROACH FOR THEIR RAPID DIAGNOSTICS. THE CASE STUDY OF CANCER AND NEURODEGENERATIVE DISEASES
dc.relationHNC-i3OMICS - Development of an innovative and integrated platform based on OMICS patterns towards the next generation of cancer diagnosis and management
dc.subjectNTME/GC-MSpt_PT
dc.subjectUrinary volatomic profilespt_PT
dc.subjectLung cancerpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.subjectCentro de Química da Madeira
dc.titleExploring the potential of NTME/GC-MS, in the establishment of urinary volatomic profiles. Lung cancer patients as case studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleStrategic Project - UI 674 - 2014
oaire.awardTitleEXPLORING THE VOLATOME OF NONCOMMUNICABLE DISEASES AS A PROMISING, INNOVATIVE AND INTEGRATING APPROACH FOR THEIR RAPID DIAGNOSTICS. THE CASE STUDY OF CANCER AND NEURODEGENERATIVE DISEASES
oaire.awardTitleHNC-i3OMICS - Development of an innovative and integrated platform based on OMICS patterns towards the next generation of cancer diagnosis and management
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FQUI%2FUI0674%2F2014/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/New-INDIGO%2F0003%2F2012/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/Inn-INDIGO%2F0001%2F2015/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F129630%2F2017/PT
oaire.citation.startPage13113pt_PT
oaire.citation.titleScientific Reportspt_PT
oaire.citation.volume8(1)pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream3599-PPCDT
oaire.fundingStream3599-PPCDT
oaire.fundingStreamOE
person.familyNamePorto-Figueira
person.familyNameAugusto Machado Pereira
person.familyNameMiekisch
person.familyNameCâmara
person.givenNamePriscilla
person.givenNameJorge
person.givenNameWolfram
person.givenNameJosé
person.identifierG-3003-2013
person.identifier.ciencia-idAD11-4860-FB1B
person.identifier.ciencia-idEC12-EE8F-50E8
person.identifier.ciencia-id481C-08CE-90E5
person.identifier.orcid0000-0001-7773-182X
person.identifier.orcid0000-0003-0316-5348
person.identifier.orcid0000-0003-1619-0315
person.identifier.orcid0000-0003-1965-3151
person.identifier.scopus-author-id56724173300
person.identifier.scopus-author-id10140393000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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