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Ion mobility spectrometry and mass spectrometry coupled to gas chromatography for analysis of microbial contaminated cosmetic creams

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dc.contributor.authorGarcía Nicolás, María
dc.contributor.authorArroyo Manzanares, Natalia
dc.contributor.authorHernández, Juan de Dios
dc.contributor.authorGuillén, Isidro
dc.contributor.authorVizcaino, Pascuala
dc.contributor.authorSánchez Rubio, Marta
dc.contributor.authorLópez García, Ignacio Francisco
dc.contributor.authorHernández Córdoba, Manuel
dc.contributor.authorViñas López-Pelegrin, Pilar
dc.contributor.departmentQuímica Analítica
dc.date.accessioned2021-11-03T17:41:28Z
dc.date.available2021-11-03T17:41:28Z
dc.date.copyright© 2020 Elsevier B.V. All rights reserved
dc.date.issued2020-07-11
dc.description.abstractThe most commonly used technique for monitoring microbial contamination in cosmetic products is plate counting. In this contribution, headspace - gas chromatography (HS-GC) coupled to mass spectrometry (MS) or ion mobility spectrometry (IMS) is proposed as a technique to evaluate rapidly and accurately the state of microbial colonies in cosmetic creams using the volatile organic compounds produced by microorganisms (MVOC). The work focuses on monitoring two of the microorganisms that most frequently occur in such creams, Candida albicans and Staphylococcus aureus. In addition, two different types of ingredient with antimicrobial properties (a chemical preservative and a natural preservative) were added to study the behaviour of these microorganisms under different conditions. The facial creams were elaborated and inoculated with the two above microorganisms, and then sampled weekly for 4 weeks, analysing the evolution of the MVOCs by HS-GC-MS and HS-GC-IMS. In addition, microbial contamination was determined by the classical plate counting method. The pH, colour, viscosity and water activity parameters were also measured. The use of chemometric tools is essential because of the large amount of data generated, and different models based on discriminant analysis with an orthogonal projection on latent structures (OPLS-DA) were constructed. The optimal models obtained by both analytical techniques allowed differentiation between contaminated and non-contaminated creams, with a validation success rate of 94.4%. In addition, MVOC monitoring also allowed assessment of the microbial concentration.es
dc.formatapplication/pdfes
dc.format.extent26es
dc.identifier.citationAnalytica Chimica Acta, 2020, Vol. 1128, pp. 52-61
dc.identifier.doihttps://doi.org/10.1016/j.aca.2020.06.069
dc.identifier.eissn1873-4324
dc.identifier.issn0003-2670
dc.identifier.urihttp://hdl.handle.net/10201/113664
dc.languageenges
dc.publisherElsevieres
dc.relationNombre del proyecto: Innovaciones en plataformas analíticas con técnicas cromatográficas y espectrométricas. Código: PGC2018-098363-B-I00. Agencia/entidad financiadora: Ministerio de Ciencia, Innovación y Universidades. Ámbito Nacional. Proyectos de I+D de generación de conocimiento, Programa estatal de generación de conocimiento y fortalecimiento científico y tecnológico del sistema de I+D+i. Convocatoria 2018.es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0003267020307182es
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjection mobility spectrometryes
dc.subjectmass spectrometryes
dc.subjectgas chromatographyes
dc.subjectcosmetic creamses
dc.subjectmicrobial contaminationes
dc.subjectIon mobility spectrometry
dc.subjectMass spectrometry
dc.subjectGas chromatography
dc.subjectCosmetic creams
dc.subjectMicrobial contamination
dc.subject.otherCDU::5 - Ciencias puras y naturales::54 - Química::543 - Química analíticaes
dc.titleIon mobility spectrometry and mass spectrometry coupled to gas chromatography for analysis of microbial contaminated cosmetic creamses
dc.typeinfo:eu-repo/semantics/articlees
dspace.entity.typePublicationes
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relation.isAuthorOfPublication.latestForDiscovery994f9ecf-3248-4d72-b0e5-6cb74e866aa4
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