Towards skin-acetone monitors with selective sensitivity: Dynamics of PANI-CA films

Most research aimed at measuring biomarkers on the skin is only concerned with sensing chemicals in sweat using electrical signals, but these methods are not truly non-invasive nor non-intrusive because they require substantial amounts of sweat to get a reading. This project aims to create a truly n...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2022-04, Vol.17 (4), p.e0267311-e0267311
Hauptverfasser: Annerino, Anthony, Faltas, Michael, Srinivasan, Manoj, Gouma, Pelagia-Irene
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e0267311
container_issue 4
container_start_page e0267311
container_title PloS one
container_volume 17
creator Annerino, Anthony
Faltas, Michael
Srinivasan, Manoj
Gouma, Pelagia-Irene
description Most research aimed at measuring biomarkers on the skin is only concerned with sensing chemicals in sweat using electrical signals, but these methods are not truly non-invasive nor non-intrusive because they require substantial amounts of sweat to get a reading. This project aims to create a truly non-invasive wearable sensor that continuously detects the gaseous acetone (a biomarker related to metabolic disorders) that ambiently comes out of the skin. Composite films of polyaniline and cellulose acetate, exhibiting chemo-mechanical actuation upon exposure to gaseous acetone, were tested in the headspaces above multiple solutions containing acetone, ethanol, and water to gauge response sensitivity, selectivity, and repeatability. The bending of the films in response to exposures to these environments was tracked by an automatic video processing code, which was found to out-perform an off-the-shelf deep neural network-based tracker. Using principal component analysis, we showed that the film bending is low dimensional with over 90% of the shape changes being captured with just two parameters. We constructed forward models to predict shape changes from the known exposure history and found that a linear model can explain 40% of the observed variance in film tip angle changes. We constructed inverse models, going from third order fits of shape changes to acetone concentrations where about 45% of the acetone variation and about 30% of ethanol variation are captured by linear models, and non-linear models did not perform substantially better. This suggests there is sufficient sensitivity and inherent selectivity of the films. These models, however, provide evidence for substantial hysteretic or long-time-scale responses of the PANI films, seemingly due to the presence of water. Further experiments will allow more accurate discrimination of unknown exposure environments. Nevertheless, the sensor will operate with high selectivity in low sweat body locations, like behind the ear or on the nails.
doi_str_mv 10.1371/journal.pone.0267311
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2656181067</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A701783940</galeid><doaj_id>oai_doaj_org_article_24a9c4e3112a4ef392c4c4641e882233</doaj_id><sourcerecordid>A701783940</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-fb0adce9a8fa58aa80927b91c623329928702a8624f8fb83403d71a7534155fb3</originalsourceid><addsrcrecordid>eNqNkk2P0zAQhiMEYpfCP0AQCQnBIcVfcRwOSFX5qrRiEbtwtSau3bokcYmdXfrvcWl21aA9IB88sp95PX5nkuQpRlNMC_xm4_quhXq6da2eIsILivG95BSXlGScIHr_KD5JHnm_QSingvOHyQnNWcEFZqfJxaW7hm7pU__TthkoHaJc2rjWBtf59NqGdep1rVWwVzpGrbcxsmH3Nn2_a6GxyqfOpF9nXxbZfJYaWzf-cfLAQO31k2GfJN8_fricf87Ozj8t5rOzTPGShMxUCJZKlyAM5AJAoJIUVYkVJ5SSsiSiQAQEJ8wIUwnKEF0WGIqcMpznpqKT5PlBd1s7Lwc_vCQ851hgFB2ZJIsDsXSwkdvONtDtpAMr_x64biWhC1bVWhIGpWI6mkiAaUNLophinGEtBIkFRa13w2t91ehYeBs6qEei45vWruXKXckSsZyjfTGvBoHO_eq1D7KxXum6hla7_lB3wShjLKIv_kHv_t1ArSB-wLbGxXfVXlTOCoQLQcvo2SSZ3kHFtdSxe7HbsWd6nPB6lBCZoH-HFfTey8XFt_9nz3-M2ZdH7FpDHdbe1X2wrvVjkB1A1TnvO21uTcZI7mf_xg25n305zH5Me3bcoNukm2GnfwDonPyY</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2656181067</pqid></control><display><type>article</type><title>Towards skin-acetone monitors with selective sensitivity: Dynamics of PANI-CA films</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS)</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Annerino, Anthony ; Faltas, Michael ; Srinivasan, Manoj ; Gouma, Pelagia-Irene</creator><contributor>Shahzad, Faisal</contributor><creatorcontrib>Annerino, Anthony ; Faltas, Michael ; Srinivasan, Manoj ; Gouma, Pelagia-Irene ; Shahzad, Faisal</creatorcontrib><description>Most research aimed at measuring biomarkers on the skin is only concerned with sensing chemicals in sweat using electrical signals, but these methods are not truly non-invasive nor non-intrusive because they require substantial amounts of sweat to get a reading. This project aims to create a truly non-invasive wearable sensor that continuously detects the gaseous acetone (a biomarker related to metabolic disorders) that ambiently comes out of the skin. Composite films of polyaniline and cellulose acetate, exhibiting chemo-mechanical actuation upon exposure to gaseous acetone, were tested in the headspaces above multiple solutions containing acetone, ethanol, and water to gauge response sensitivity, selectivity, and repeatability. The bending of the films in response to exposures to these environments was tracked by an automatic video processing code, which was found to out-perform an off-the-shelf deep neural network-based tracker. Using principal component analysis, we showed that the film bending is low dimensional with over 90% of the shape changes being captured with just two parameters. We constructed forward models to predict shape changes from the known exposure history and found that a linear model can explain 40% of the observed variance in film tip angle changes. We constructed inverse models, going from third order fits of shape changes to acetone concentrations where about 45% of the acetone variation and about 30% of ethanol variation are captured by linear models, and non-linear models did not perform substantially better. This suggests there is sufficient sensitivity and inherent selectivity of the films. These models, however, provide evidence for substantial hysteretic or long-time-scale responses of the PANI films, seemingly due to the presence of water. Further experiments will allow more accurate discrimination of unknown exposure environments. Nevertheless, the sensor will operate with high selectivity in low sweat body locations, like behind the ear or on the nails.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0267311</identifier><identifier>PMID: 35476814</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acetic acid ; Acetone ; Acetone - analysis ; Actuation ; Aerospace engineering ; Artificial neural networks ; Bending ; Biology and Life Sciences ; Biomarkers ; Cellulose acetate ; Engineering and Technology ; Ethanol ; Evaluation ; Exposure ; Gases ; Gases - analysis ; Image processing ; Mechanical properties ; Medicine and Health Sciences ; Metabolic disorders ; Modelling ; Motion Pictures ; Neural networks ; Physical Sciences ; Polyanilines ; Principal components analysis ; Properties ; Research and Analysis Methods ; Selectivity ; Sensitivity ; Skin ; Solvents ; Sweat ; Video ; VOCs ; Volatile organic compounds ; Water ; Wearable computers</subject><ispartof>PloS one, 2022-04, Vol.17 (4), p.e0267311-e0267311</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Annerino et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Annerino et al 2022 Annerino et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-fb0adce9a8fa58aa80927b91c623329928702a8624f8fb83403d71a7534155fb3</citedby><cites>FETCH-LOGICAL-c692t-fb0adce9a8fa58aa80927b91c623329928702a8624f8fb83403d71a7534155fb3</cites><orcidid>0000-0002-2700-9211 ; 0000-0002-7435-6793 ; 0000-0002-7811-3617</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045607/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045607/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35476814$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Shahzad, Faisal</contributor><creatorcontrib>Annerino, Anthony</creatorcontrib><creatorcontrib>Faltas, Michael</creatorcontrib><creatorcontrib>Srinivasan, Manoj</creatorcontrib><creatorcontrib>Gouma, Pelagia-Irene</creatorcontrib><title>Towards skin-acetone monitors with selective sensitivity: Dynamics of PANI-CA films</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Most research aimed at measuring biomarkers on the skin is only concerned with sensing chemicals in sweat using electrical signals, but these methods are not truly non-invasive nor non-intrusive because they require substantial amounts of sweat to get a reading. This project aims to create a truly non-invasive wearable sensor that continuously detects the gaseous acetone (a biomarker related to metabolic disorders) that ambiently comes out of the skin. Composite films of polyaniline and cellulose acetate, exhibiting chemo-mechanical actuation upon exposure to gaseous acetone, were tested in the headspaces above multiple solutions containing acetone, ethanol, and water to gauge response sensitivity, selectivity, and repeatability. The bending of the films in response to exposures to these environments was tracked by an automatic video processing code, which was found to out-perform an off-the-shelf deep neural network-based tracker. Using principal component analysis, we showed that the film bending is low dimensional with over 90% of the shape changes being captured with just two parameters. We constructed forward models to predict shape changes from the known exposure history and found that a linear model can explain 40% of the observed variance in film tip angle changes. We constructed inverse models, going from third order fits of shape changes to acetone concentrations where about 45% of the acetone variation and about 30% of ethanol variation are captured by linear models, and non-linear models did not perform substantially better. This suggests there is sufficient sensitivity and inherent selectivity of the films. These models, however, provide evidence for substantial hysteretic or long-time-scale responses of the PANI films, seemingly due to the presence of water. Further experiments will allow more accurate discrimination of unknown exposure environments. Nevertheless, the sensor will operate with high selectivity in low sweat body locations, like behind the ear or on the nails.</description><subject>Acetic acid</subject><subject>Acetone</subject><subject>Acetone - analysis</subject><subject>Actuation</subject><subject>Aerospace engineering</subject><subject>Artificial neural networks</subject><subject>Bending</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Cellulose acetate</subject><subject>Engineering and Technology</subject><subject>Ethanol</subject><subject>Evaluation</subject><subject>Exposure</subject><subject>Gases</subject><subject>Gases - analysis</subject><subject>Image processing</subject><subject>Mechanical properties</subject><subject>Medicine and Health Sciences</subject><subject>Metabolic disorders</subject><subject>Modelling</subject><subject>Motion Pictures</subject><subject>Neural networks</subject><subject>Physical Sciences</subject><subject>Polyanilines</subject><subject>Principal components analysis</subject><subject>Properties</subject><subject>Research and Analysis Methods</subject><subject>Selectivity</subject><subject>Sensitivity</subject><subject>Skin</subject><subject>Solvents</subject><subject>Sweat</subject><subject>Video</subject><subject>VOCs</subject><subject>Volatile organic compounds</subject><subject>Water</subject><subject>Wearable computers</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkk2P0zAQhiMEYpfCP0AQCQnBIcVfcRwOSFX5qrRiEbtwtSau3bokcYmdXfrvcWl21aA9IB88sp95PX5nkuQpRlNMC_xm4_quhXq6da2eIsILivG95BSXlGScIHr_KD5JHnm_QSingvOHyQnNWcEFZqfJxaW7hm7pU__TthkoHaJc2rjWBtf59NqGdep1rVWwVzpGrbcxsmH3Nn2_a6GxyqfOpF9nXxbZfJYaWzf-cfLAQO31k2GfJN8_fricf87Ozj8t5rOzTPGShMxUCJZKlyAM5AJAoJIUVYkVJ5SSsiSiQAQEJ8wIUwnKEF0WGIqcMpznpqKT5PlBd1s7Lwc_vCQ851hgFB2ZJIsDsXSwkdvONtDtpAMr_x64biWhC1bVWhIGpWI6mkiAaUNLophinGEtBIkFRa13w2t91ehYeBs6qEei45vWruXKXckSsZyjfTGvBoHO_eq1D7KxXum6hla7_lB3wShjLKIv_kHv_t1ArSB-wLbGxXfVXlTOCoQLQcvo2SSZ3kHFtdSxe7HbsWd6nPB6lBCZoH-HFfTey8XFt_9nz3-M2ZdH7FpDHdbe1X2wrvVjkB1A1TnvO21uTcZI7mf_xg25n305zH5Me3bcoNukm2GnfwDonPyY</recordid><startdate>20220427</startdate><enddate>20220427</enddate><creator>Annerino, Anthony</creator><creator>Faltas, Michael</creator><creator>Srinivasan, Manoj</creator><creator>Gouma, Pelagia-Irene</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2700-9211</orcidid><orcidid>https://orcid.org/0000-0002-7435-6793</orcidid><orcidid>https://orcid.org/0000-0002-7811-3617</orcidid></search><sort><creationdate>20220427</creationdate><title>Towards skin-acetone monitors with selective sensitivity: Dynamics of PANI-CA films</title><author>Annerino, Anthony ; Faltas, Michael ; Srinivasan, Manoj ; Gouma, Pelagia-Irene</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-fb0adce9a8fa58aa80927b91c623329928702a8624f8fb83403d71a7534155fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Acetic acid</topic><topic>Acetone</topic><topic>Acetone - analysis</topic><topic>Actuation</topic><topic>Aerospace engineering</topic><topic>Artificial neural networks</topic><topic>Bending</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Cellulose acetate</topic><topic>Engineering and Technology</topic><topic>Ethanol</topic><topic>Evaluation</topic><topic>Exposure</topic><topic>Gases</topic><topic>Gases - analysis</topic><topic>Image processing</topic><topic>Mechanical properties</topic><topic>Medicine and Health Sciences</topic><topic>Metabolic disorders</topic><topic>Modelling</topic><topic>Motion Pictures</topic><topic>Neural networks</topic><topic>Physical Sciences</topic><topic>Polyanilines</topic><topic>Principal components analysis</topic><topic>Properties</topic><topic>Research and Analysis Methods</topic><topic>Selectivity</topic><topic>Sensitivity</topic><topic>Skin</topic><topic>Solvents</topic><topic>Sweat</topic><topic>Video</topic><topic>VOCs</topic><topic>Volatile organic compounds</topic><topic>Water</topic><topic>Wearable computers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Annerino, Anthony</creatorcontrib><creatorcontrib>Faltas, Michael</creatorcontrib><creatorcontrib>Srinivasan, Manoj</creatorcontrib><creatorcontrib>Gouma, Pelagia-Irene</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Annerino, Anthony</au><au>Faltas, Michael</au><au>Srinivasan, Manoj</au><au>Gouma, Pelagia-Irene</au><au>Shahzad, Faisal</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Towards skin-acetone monitors with selective sensitivity: Dynamics of PANI-CA films</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2022-04-27</date><risdate>2022</risdate><volume>17</volume><issue>4</issue><spage>e0267311</spage><epage>e0267311</epage><pages>e0267311-e0267311</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Most research aimed at measuring biomarkers on the skin is only concerned with sensing chemicals in sweat using electrical signals, but these methods are not truly non-invasive nor non-intrusive because they require substantial amounts of sweat to get a reading. This project aims to create a truly non-invasive wearable sensor that continuously detects the gaseous acetone (a biomarker related to metabolic disorders) that ambiently comes out of the skin. Composite films of polyaniline and cellulose acetate, exhibiting chemo-mechanical actuation upon exposure to gaseous acetone, were tested in the headspaces above multiple solutions containing acetone, ethanol, and water to gauge response sensitivity, selectivity, and repeatability. The bending of the films in response to exposures to these environments was tracked by an automatic video processing code, which was found to out-perform an off-the-shelf deep neural network-based tracker. Using principal component analysis, we showed that the film bending is low dimensional with over 90% of the shape changes being captured with just two parameters. We constructed forward models to predict shape changes from the known exposure history and found that a linear model can explain 40% of the observed variance in film tip angle changes. We constructed inverse models, going from third order fits of shape changes to acetone concentrations where about 45% of the acetone variation and about 30% of ethanol variation are captured by linear models, and non-linear models did not perform substantially better. This suggests there is sufficient sensitivity and inherent selectivity of the films. These models, however, provide evidence for substantial hysteretic or long-time-scale responses of the PANI films, seemingly due to the presence of water. Further experiments will allow more accurate discrimination of unknown exposure environments. Nevertheless, the sensor will operate with high selectivity in low sweat body locations, like behind the ear or on the nails.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>35476814</pmid><doi>10.1371/journal.pone.0267311</doi><tpages>e0267311</tpages><orcidid>https://orcid.org/0000-0002-2700-9211</orcidid><orcidid>https://orcid.org/0000-0002-7435-6793</orcidid><orcidid>https://orcid.org/0000-0002-7811-3617</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2022-04, Vol.17 (4), p.e0267311-e0267311
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_2656181067
source MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry
subjects Acetic acid
Acetone
Acetone - analysis
Actuation
Aerospace engineering
Artificial neural networks
Bending
Biology and Life Sciences
Biomarkers
Cellulose acetate
Engineering and Technology
Ethanol
Evaluation
Exposure
Gases
Gases - analysis
Image processing
Mechanical properties
Medicine and Health Sciences
Metabolic disorders
Modelling
Motion Pictures
Neural networks
Physical Sciences
Polyanilines
Principal components analysis
Properties
Research and Analysis Methods
Selectivity
Sensitivity
Skin
Solvents
Sweat
Video
VOCs
Volatile organic compounds
Water
Wearable computers
title Towards skin-acetone monitors with selective sensitivity: Dynamics of PANI-CA films
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T20%3A33%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Towards%20skin-acetone%20monitors%20with%20selective%20sensitivity:%20Dynamics%20of%20PANI-CA%20films&rft.jtitle=PloS%20one&rft.au=Annerino,%20Anthony&rft.date=2022-04-27&rft.volume=17&rft.issue=4&rft.spage=e0267311&rft.epage=e0267311&rft.pages=e0267311-e0267311&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0267311&rft_dat=%3Cgale_plos_%3EA701783940%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2656181067&rft_id=info:pmid/35476814&rft_galeid=A701783940&rft_doaj_id=oai_doaj_org_article_24a9c4e3112a4ef392c4c4641e882233&rfr_iscdi=true