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Anal Chim Acta


Title:Ion mobility spectrometry and mass spectrometry coupled to gas chromatography for analysis of microbial contaminated cosmetic creams
Author(s):Garcia-Nicolas M; Arroyo-Manzanares N; de Dios Hernandez J; Guillen I; Vizcaino P; Sanchez-Rubio M; Lopez-Garcia I; Hernandez-Cordoba M; Vinas P;
Address:"Department of Analytical Chemistry, Faculty of Chemistry, Regional Campus of International Excellence 'Campus Mare-Nostrum', University of Murcia, Murcia, Spain. Productos Sur S.A. (Prosur), Av. Francisco Salzillo, P/27-2, San Gines, 30169, San Gines, Murcia, Spain. Department of Analytical Chemistry, Faculty of Chemistry, Regional Campus of International Excellence 'Campus Mare-Nostrum', University of Murcia, Murcia, Spain. Electronic address: pilarvi@um.es"
Journal Title:Anal Chim Acta
Year:2020
Volume:20200711
Issue:
Page Number:52 - 61
DOI: 10.1016/j.aca.2020.06.069
ISSN/ISBN:1873-4324 (Electronic) 0003-2670 (Linking)
Abstract:"The 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"
Keywords:*Cosmetics Discriminant Analysis Gas Chromatography-Mass Spectrometry Ion Mobility Spectrometry *Volatile Organic Compounds/analysis Cosmetic creams Gas chromatography Mass spectrometry Microbial contamination;
Notes:"MedlineGarcia-Nicolas, Maria Arroyo-Manzanares, Natalia de Dios Hernandez, Juan Guillen, Isidro Vizcaino, Pascuala Sanchez-Rubio, Marta Lopez-Garcia, Ignacio Hernandez-Cordoba, Manuel Vinas, Pilar eng Netherlands 2020/08/23 Anal Chim Acta. 2020 Sep 1; 1128:52-61. doi: 10.1016/j.aca.2020.06.069. Epub 2020 Jul 11"

 
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