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

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dc.contributor.author Wooding, Madelien
dc.contributor.author Dodgen, Tyren
dc.contributor.author Rohwer, Egmont Richard
dc.contributor.author Naude, Yvette
dc.date.accessioned 2021-07-21T05:49:15Z
dc.date.issued 2021-02
dc.description Supporting Information S1: Experimental Section en_ZA
dc.description Supporting Information S2: Tables and Figures en_ZA
dc.description.abstract Human 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.department Chemistry en_ZA
dc.description.embargo 2021-11-17
dc.description.librarian hj2021 en_ZA
dc.description.sponsorship Dr. Hubert Mandery en_ZA
dc.description.uri http://wileyonlinelibrary.com/journal/jms en_ZA
dc.identifier.citation Wooding 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.issn 1076-5174 (print)
dc.identifier.issn 1096-9888 (online)
dc.identifier.other 10.1002/jms.4686
dc.identifier.uri http://hdl.handle.net/2263/80913
dc.language.iso en en_ZA
dc.publisher Wiley en_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.subject Collision cross section (CCS) en_ZA
dc.subject Human surface skin non-volatiles en_ZA
dc.subject Ion mobility en_ZA
dc.subject Mosquito en_ZA
dc.subject Non-invasive sampling en_ZA
dc.subject Ultra-performance liquid chromatography with ion mobility high- resolution mass spectrometry (UPLC-IMS-HRMS) en_ZA
dc.subject Polydimethylsiloxane (PDMS) en_ZA
dc.title Mass spectral studies on the human skin surface for mosquito vector control applications en_ZA
dc.type Postprint Article en_ZA


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