Mass spectral studies on the human skin surface for mosquito vector control applications

dc.contributor.authorWooding, Madelien
dc.contributor.authorDodgen, Tyren
dc.contributor.authorRohwer, Egmont Richard
dc.contributor.authorNaude, Yvette
dc.contributor.emailmadelien.wooding@up.ac.zaen_ZA
dc.date.accessioned2021-07-21T05:49:15Z
dc.date.issued2021-02
dc.descriptionSupporting Information S1: Experimental Sectionen_ZA
dc.descriptionSupporting Information S2: Tables and Figuresen_ZA
dc.description.abstractHuman skin surface chemical cues comprise a complex mixture of compounds that mosquitoes use to locate and select their human host, based on inter- and intra-human variation in chemical profiles. The complexity of the skin surface matrix calls for advanced analytical techniques to enable separation and identification of biomarkers, which may be used as topical attractants and repellants in future mosquito vector control programmes. The perceived mosquito attractiveness between 20 volunteers and the preference of mosquitoes to bite certain regions, namely, ankle versus wrist, of the human host were investigated in this study, by comparing skin surface chemical profiles. Ion mobility was combined with high resolution mass spectrometry to provide additional confidence in biological marker discovery and identification of human skin surface compounds. This study employed a non-intrusive sampling scheme using a polydimethylsiloxane (PDMS) sampler and solvent desorption analysed with ultra-performance liquid chromatography with ion mobility high-resolution mass spectrometry (UPLC-IMS-HRMS). Statistical approaches guided the identification of 14 biological markers discerning difference in perceived mosquito attractiveness and 20 biomarkers associated with the different skin regions sampled. A broad range (m/z 96.0437 to 788.6095) of chemical compounds was detected from a variety of classes (including sugars, steroids, fatty acids, peptides and peptide derivatives, and compounds of food origin). Ten compounds were unequivocally identified on the human skin surface, and caffeine was reported on the human skin surface for the first time. Furthermore, 77 compounds, of which 64 to the authors' knowledge have not previously been reported, were detected on the human skin surface using accurate mass, collision cross section (CCS) values and fragmentation patterns. This approach enabled comprehensive human skin surface chemical profiling and provides an extensive list of tentatively identified skin surface compounds together with accurate mass values and adducts with their corresponding CCS values.en_ZA
dc.description.departmentChemistryen_ZA
dc.description.embargo2021-11-17
dc.description.librarianhj2021en_ZA
dc.description.sponsorshipDr. Hubert Manderyen_ZA
dc.description.urihttp://wileyonlinelibrary.com/journal/jmsen_ZA
dc.identifier.citationWooding M, Dodgen T, Rohwer ER, Naudé Y. Mass spectral studies on the human skin surface for mosquito vector control applications. Journal of Mass Spectrometry 2021; 56:e4686. https://doi.org/10.1002/jms.4686.en_ZA
dc.identifier.issn1076-5174 (print)
dc.identifier.issn1096-9888 (online)
dc.identifier.other10.1002/jms.4686
dc.identifier.urihttp://hdl.handle.net/2263/80913
dc.language.isoenen_ZA
dc.publisherWileyen_ZA
dc.rights© 2020 John Wiley & Sons, Ltd. This is the pre-peer reviewed version of the following article : Mass spectral studies on the human skin surface for mosquito vector control applications. Journal of Mass Spectrometry 2021; 56:e4686. https://doi.org/10.1002/jms.4686. The definite version is available at : http://wileyonlinelibrary.com/journal/jms.en_ZA
dc.subjectCollision cross section (CCS)en_ZA
dc.subjectHuman surface skin non-volatilesen_ZA
dc.subjectIon mobilityen_ZA
dc.subjectMosquitoen_ZA
dc.subjectNon-invasive samplingen_ZA
dc.subjectUltra-performance liquid chromatography with ion mobility high- resolution mass spectrometry (UPLC-IMS-HRMS)en_ZA
dc.subjectPolydimethylsiloxane (PDMS)en_ZA
dc.titleMass spectral studies on the human skin surface for mosquito vector control applicationsen_ZA
dc.typePostprint Articleen_ZA

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