Advancing the analytical toolkit in the investigation of vector mosquito host biting site selection
High‐resolution mass spectrometry and ion mobility spectrometry provide additional confidence in biological marker discovery and elucidation by adding additional peak capacity through physiochemical separation orthogonal to chromatography. Sophisticated analytical techniques have proved valuable in...
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description | High‐resolution mass spectrometry and ion mobility spectrometry provide additional confidence in biological marker discovery and elucidation by adding additional peak capacity through physiochemical separation orthogonal to chromatography. Sophisticated analytical techniques have proved valuable in the identification of human skin surface chemicals used by vector mosquitoes to find their human host. Polydimethylsiloxane (PDMS) was used as a non‐invasive passive wearable sampler to concentrate skin surface non‐volatile and semi‐volatile compounds prior to solvent desorption directly in an LC vial, thereby simplifying the link between extraction and analysis. Ultra‐performance liquid chromatography with ion mobility spectrometry coupled with high‐resolution mass spectrometry (UPLC‐IMS‐HRMS) was used for compound separation and detection. A comparison of the skin chemical profiles between the ankle and wrist skin surface region sampled over a 5‐day period for a human volunteer was done. Twenty‐three biomarkers were tentatively identified with the aid of a collision cross‐section (CCS) prediction tool, seven associated with the ankle skin surface region and 16 closely associated with the wrist skin surface. Ten amino acids were detected and unequivocally identified on the human skin surface for the first time. Furthermore, 22 previously unreported skin surface compounds were tentatively identified on the human skin surface using accurate mass, CCS values and fragmentation patterns. Method limits of detection for the passive skin sampling method ranged from 8.7 (sulfadimethoxine) to 95 ng (taurine). This approach enabled the detection and identification of as‐yet unknown human skin surface compounds and provided corresponding CCS values. |
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Sophisticated analytical techniques have proved valuable in the identification of human skin surface chemicals used by vector mosquitoes to find their human host. Polydimethylsiloxane (PDMS) was used as a non‐invasive passive wearable sampler to concentrate skin surface non‐volatile and semi‐volatile compounds prior to solvent desorption directly in an LC vial, thereby simplifying the link between extraction and analysis. Ultra‐performance liquid chromatography with ion mobility spectrometry coupled with high‐resolution mass spectrometry (UPLC‐IMS‐HRMS) was used for compound separation and detection. A comparison of the skin chemical profiles between the ankle and wrist skin surface region sampled over a 5‐day period for a human volunteer was done. Twenty‐three biomarkers were tentatively identified with the aid of a collision cross‐section (CCS) prediction tool, seven associated with the ankle skin surface region and 16 closely associated with the wrist skin surface. Ten amino acids were detected and unequivocally identified on the human skin surface for the first time. Furthermore, 22 previously unreported skin surface compounds were tentatively identified on the human skin surface using accurate mass, CCS values and fragmentation patterns. Method limits of detection for the passive skin sampling method ranged from 8.7 (sulfadimethoxine) to 95 ng (taurine). This approach enabled the detection and identification of as‐yet unknown human skin surface compounds and provided corresponding CCS values.</description><identifier>ISSN: 1076-5174</identifier><identifier>EISSN: 1096-9888</identifier><identifier>DOI: 10.1002/jms.4992</identifier><identifier>PMID: 38108549</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Amino acids ; Analytical methods ; Ankle ; Aquatic insects ; Biomarkers ; Chromatography ; collision cross‐section prediction ; Detection ; human surface skin compounds ; ion mobility ; Ionic mobility ; Liquid chromatography ; Mass spectrometry ; Mass spectroscopy ; Mobility ; Mosquitoes ; non‐invasive sampling ; Physiochemistry ; Polydimethylsiloxane ; Samplers ; Sampling methods ; Scientific imaging ; Separation ; Site selection ; Skin ; Sulfadimethoxine ; Taurine ; UPLC‐MS ; Volatile compounds ; wearable PDMS sampler ; Wrist</subject><ispartof>Journal of mass spectrometry., 2024-01, Vol.59 (1), p.e4992-n/a</ispartof><rights>2023 The Authors. published by John Wiley & Sons Ltd.</rights><rights>2023 The Authors. 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Sophisticated analytical techniques have proved valuable in the identification of human skin surface chemicals used by vector mosquitoes to find their human host. Polydimethylsiloxane (PDMS) was used as a non‐invasive passive wearable sampler to concentrate skin surface non‐volatile and semi‐volatile compounds prior to solvent desorption directly in an LC vial, thereby simplifying the link between extraction and analysis. Ultra‐performance liquid chromatography with ion mobility spectrometry coupled with high‐resolution mass spectrometry (UPLC‐IMS‐HRMS) was used for compound separation and detection. A comparison of the skin chemical profiles between the ankle and wrist skin surface region sampled over a 5‐day period for a human volunteer was done. Twenty‐three biomarkers were tentatively identified with the aid of a collision cross‐section (CCS) prediction tool, seven associated with the ankle skin surface region and 16 closely associated with the wrist skin surface. Ten amino acids were detected and unequivocally identified on the human skin surface for the first time. Furthermore, 22 previously unreported skin surface compounds were tentatively identified on the human skin surface using accurate mass, CCS values and fragmentation patterns. Method limits of detection for the passive skin sampling method ranged from 8.7 (sulfadimethoxine) to 95 ng (taurine). This approach enabled the detection and identification of as‐yet unknown human skin surface compounds and provided corresponding CCS values.</description><subject>Amino acids</subject><subject>Analytical methods</subject><subject>Ankle</subject><subject>Aquatic insects</subject><subject>Biomarkers</subject><subject>Chromatography</subject><subject>collision cross‐section prediction</subject><subject>Detection</subject><subject>human surface skin compounds</subject><subject>ion mobility</subject><subject>Ionic mobility</subject><subject>Liquid chromatography</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Mobility</subject><subject>Mosquitoes</subject><subject>non‐invasive sampling</subject><subject>Physiochemistry</subject><subject>Polydimethylsiloxane</subject><subject>Samplers</subject><subject>Sampling methods</subject><subject>Scientific imaging</subject><subject>Separation</subject><subject>Site selection</subject><subject>Skin</subject><subject>Sulfadimethoxine</subject><subject>Taurine</subject><subject>UPLC‐MS</subject><subject>Volatile compounds</subject><subject>wearable PDMS sampler</subject><subject>Wrist</subject><issn>1076-5174</issn><issn>1096-9888</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp1kMtKAzEUQIMotlbBL5CAGzdTk3mkybIUnygu1PWQpHfa1JlJO8lU-vdm2ioiuLqBezjkHoTOKRlSQuLrReWGqRDxAepTIlgkOOeH3XvEooyO0h46cW5BCBEiZceol3BKeJaKPtLj6VrW2tQz7OeAZS3LjTdalthbW34Yj0293Zh6Dc6bmfTG1tgWeA3a2wZX1q1a4y2eW-exMr5TOeMBOygDEuhTdFTI0sHZfg7Q--3N2-Q-enq5e5iMnyKdCB5HglGm9VQrTtO4AJVqkgidgdJxuANExpkEBYxRKalMJGdEKsE0gYyoTNFkgK523mVjV234bV4Zp6EsZQ22dXksSJLEqYjTgF7-QRe2bcLxHUVHIVlGfwl1Y51roMiXjalks8kpybvweQifd-EDerEXtqqC6Q_4XToA0Q74NCVs_hXlj8-vW-EXq_uNug</recordid><startdate>202401</startdate><enddate>202401</enddate><creator>Wooding, Madelien</creator><creator>Dodgen, Tyren</creator><creator>Rohwer, Egmont R.</creator><creator>Naudé, Yvette</creator><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QP</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TK</scope><scope>7U5</scope><scope>7U7</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H97</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3869-7467</orcidid></search><sort><creationdate>202401</creationdate><title>Advancing the analytical toolkit in the investigation of vector mosquito host biting site selection</title><author>Wooding, Madelien ; Dodgen, Tyren ; Rohwer, Egmont R. ; Naudé, Yvette</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3982-9616ccdcb8142feb4c039c5ebc2076e9586aebe661aa1a3a860ab96c0e50b5b13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Amino acids</topic><topic>Analytical methods</topic><topic>Ankle</topic><topic>Aquatic insects</topic><topic>Biomarkers</topic><topic>Chromatography</topic><topic>collision cross‐section prediction</topic><topic>Detection</topic><topic>human surface skin compounds</topic><topic>ion mobility</topic><topic>Ionic mobility</topic><topic>Liquid chromatography</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Mobility</topic><topic>Mosquitoes</topic><topic>non‐invasive sampling</topic><topic>Physiochemistry</topic><topic>Polydimethylsiloxane</topic><topic>Samplers</topic><topic>Sampling methods</topic><topic>Scientific imaging</topic><topic>Separation</topic><topic>Site selection</topic><topic>Skin</topic><topic>Sulfadimethoxine</topic><topic>Taurine</topic><topic>UPLC‐MS</topic><topic>Volatile compounds</topic><topic>wearable PDMS sampler</topic><topic>Wrist</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wooding, Madelien</creatorcontrib><creatorcontrib>Dodgen, Tyren</creatorcontrib><creatorcontrib>Rohwer, Egmont R.</creatorcontrib><creatorcontrib>Naudé, Yvette</creatorcontrib><collection>Wiley Online Library</collection><collection>Wiley Online Library</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of mass spectrometry.</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wooding, Madelien</au><au>Dodgen, Tyren</au><au>Rohwer, Egmont R.</au><au>Naudé, Yvette</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Advancing the analytical toolkit in the investigation of vector mosquito host biting site selection</atitle><jtitle>Journal of mass spectrometry.</jtitle><addtitle>J Mass Spectrom</addtitle><date>2024-01</date><risdate>2024</risdate><volume>59</volume><issue>1</issue><spage>e4992</spage><epage>n/a</epage><pages>e4992-n/a</pages><issn>1076-5174</issn><eissn>1096-9888</eissn><abstract>High‐resolution mass spectrometry and ion mobility spectrometry provide additional confidence in biological marker discovery and elucidation by adding additional peak capacity through physiochemical separation orthogonal to chromatography. Sophisticated analytical techniques have proved valuable in the identification of human skin surface chemicals used by vector mosquitoes to find their human host. Polydimethylsiloxane (PDMS) was used as a non‐invasive passive wearable sampler to concentrate skin surface non‐volatile and semi‐volatile compounds prior to solvent desorption directly in an LC vial, thereby simplifying the link between extraction and analysis. Ultra‐performance liquid chromatography with ion mobility spectrometry coupled with high‐resolution mass spectrometry (UPLC‐IMS‐HRMS) was used for compound separation and detection. A comparison of the skin chemical profiles between the ankle and wrist skin surface region sampled over a 5‐day period for a human volunteer was done. Twenty‐three biomarkers were tentatively identified with the aid of a collision cross‐section (CCS) prediction tool, seven associated with the ankle skin surface region and 16 closely associated with the wrist skin surface. Ten amino acids were detected and unequivocally identified on the human skin surface for the first time. Furthermore, 22 previously unreported skin surface compounds were tentatively identified on the human skin surface using accurate mass, CCS values and fragmentation patterns. Method limits of detection for the passive skin sampling method ranged from 8.7 (sulfadimethoxine) to 95 ng (taurine). This approach enabled the detection and identification of as‐yet unknown human skin surface compounds and provided corresponding CCS values.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>38108549</pmid><doi>10.1002/jms.4992</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-3869-7467</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Amino acids Analytical methods Ankle Aquatic insects Biomarkers Chromatography collision cross‐section prediction Detection human surface skin compounds ion mobility Ionic mobility Liquid chromatography Mass spectrometry Mass spectroscopy Mobility Mosquitoes non‐invasive sampling Physiochemistry Polydimethylsiloxane Samplers Sampling methods Scientific imaging Separation Site selection Skin Sulfadimethoxine Taurine UPLC‐MS Volatile compounds wearable PDMS sampler Wrist |
title | Advancing the analytical toolkit in the investigation of vector mosquito host biting site selection |
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