Total ion chromatogram and total ion mass spectrum as alternative tools for detection and discrimination (A review)

Detalhes bibliográficos
Autor(a) principal: Barea-Sepúlveda, Marta
Data de Publicação: 2022
Outros Autores: Duarte, Hugo, Aliaño-González, María José, Romano, Anabela, Medronho, Bruno
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/18492
Resumo: Gas chromatography (GC) and mass spectrometry (MS) are widely used techniques in the analysis of complex mixtures due to their various advantages, such as high selectivity, reproducibility, precision, and sensitivity. However, the data processing is often complex and time-consuming and requires a great deal of experience, which might be a serious drawback in certain areas, such as quality control, or regarding research in the field of medicine or forensic sciences, where time plays a crucial role. For these reasons, some authors have proposed the use of alternative data processing approaches, such as the total ion chromatogram or total mass spectrum, allowing these techniques to be treated as sensors where each retention time or ratio m/z acts as a sensor collecting total intensities. In this way, the main advantages associated with both techniques are maintained, but the outcomes from the analysis can be reached in a faster, simpler, and an almost automated way. In this review, the main features of the GC- and MS-based analysis methodologies and the ways in which to apply them are highlighted. Moreover, their implementation in different fields, such as agri-food, forensics, environmental sciences, or medicine is discussed, highlighting important advantages as well as limitations.
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spelling Total ion chromatogram and total ion mass spectrum as alternative tools for detection and discrimination (A review)Gas chromatographyMass spectrometryTotal ion chromatogramTotal ion mass spectrumSensorsAgri-foodEnvironmentForensicMedicalGas chromatography (GC) and mass spectrometry (MS) are widely used techniques in the analysis of complex mixtures due to their various advantages, such as high selectivity, reproducibility, precision, and sensitivity. However, the data processing is often complex and time-consuming and requires a great deal of experience, which might be a serious drawback in certain areas, such as quality control, or regarding research in the field of medicine or forensic sciences, where time plays a crucial role. For these reasons, some authors have proposed the use of alternative data processing approaches, such as the total ion chromatogram or total mass spectrum, allowing these techniques to be treated as sensors where each retention time or ratio m/z acts as a sensor collecting total intensities. In this way, the main advantages associated with both techniques are maintained, but the outcomes from the analysis can be reached in a faster, simpler, and an almost automated way. In this review, the main features of the GC- and MS-based analysis methodologies and the ways in which to apply them are highlighted. Moreover, their implementation in different fields, such as agri-food, forensics, environmental sciences, or medicine is discussed, highlighting important advantages as well as limitations.MDPISapientiaBarea-Sepúlveda, MartaDuarte, HugoAliaño-González, María JoséRomano, AnabelaMedronho, Bruno2022-11-11T11:36:02Z2022-11-082022-11-10T14:27:46Z2022-11-08T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/18492engChemosensors 10 (11): 465 (2022)10.3390/chemosensors101104652227-9040info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:30:44Zoai:sapientia.ualg.pt:10400.1/18492Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:08:14.902884Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Total ion chromatogram and total ion mass spectrum as alternative tools for detection and discrimination (A review)
title Total ion chromatogram and total ion mass spectrum as alternative tools for detection and discrimination (A review)
spellingShingle Total ion chromatogram and total ion mass spectrum as alternative tools for detection and discrimination (A review)
Barea-Sepúlveda, Marta
Gas chromatography
Mass spectrometry
Total ion chromatogram
Total ion mass spectrum
Sensors
Agri-food
Environment
Forensic
Medical
title_short Total ion chromatogram and total ion mass spectrum as alternative tools for detection and discrimination (A review)
title_full Total ion chromatogram and total ion mass spectrum as alternative tools for detection and discrimination (A review)
title_fullStr Total ion chromatogram and total ion mass spectrum as alternative tools for detection and discrimination (A review)
title_full_unstemmed Total ion chromatogram and total ion mass spectrum as alternative tools for detection and discrimination (A review)
title_sort Total ion chromatogram and total ion mass spectrum as alternative tools for detection and discrimination (A review)
author Barea-Sepúlveda, Marta
author_facet Barea-Sepúlveda, Marta
Duarte, Hugo
Aliaño-González, María José
Romano, Anabela
Medronho, Bruno
author_role author
author2 Duarte, Hugo
Aliaño-González, María José
Romano, Anabela
Medronho, Bruno
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Barea-Sepúlveda, Marta
Duarte, Hugo
Aliaño-González, María José
Romano, Anabela
Medronho, Bruno
dc.subject.por.fl_str_mv Gas chromatography
Mass spectrometry
Total ion chromatogram
Total ion mass spectrum
Sensors
Agri-food
Environment
Forensic
Medical
topic Gas chromatography
Mass spectrometry
Total ion chromatogram
Total ion mass spectrum
Sensors
Agri-food
Environment
Forensic
Medical
description Gas chromatography (GC) and mass spectrometry (MS) are widely used techniques in the analysis of complex mixtures due to their various advantages, such as high selectivity, reproducibility, precision, and sensitivity. However, the data processing is often complex and time-consuming and requires a great deal of experience, which might be a serious drawback in certain areas, such as quality control, or regarding research in the field of medicine or forensic sciences, where time plays a crucial role. For these reasons, some authors have proposed the use of alternative data processing approaches, such as the total ion chromatogram or total mass spectrum, allowing these techniques to be treated as sensors where each retention time or ratio m/z acts as a sensor collecting total intensities. In this way, the main advantages associated with both techniques are maintained, but the outcomes from the analysis can be reached in a faster, simpler, and an almost automated way. In this review, the main features of the GC- and MS-based analysis methodologies and the ways in which to apply them are highlighted. Moreover, their implementation in different fields, such as agri-food, forensics, environmental sciences, or medicine is discussed, highlighting important advantages as well as limitations.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-11T11:36:02Z
2022-11-08
2022-11-10T14:27:46Z
2022-11-08T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/18492
url http://hdl.handle.net/10400.1/18492
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Chemosensors 10 (11): 465 (2022)
10.3390/chemosensors10110465
2227-9040
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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