<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Oliveira, Ana</style></author><author><style face="normal" font="default" size="100%">Ramou, Efthymia</style></author><author><style face="normal" font="default" size="100%">Teixeira, Gonçalo</style></author><author><style face="normal" font="default" size="100%">Susana Palma</style></author><author><style face="normal" font="default" size="100%">Roque, Ana</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Incorporation of VOC-Selective Peptides in Gas Sensing Materials</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">feb</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0010797200003123</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">https://sites.fct.unl.pt/sites/default/files/biomolecular_eng/files/oliveira_biodevices_2022.pdf</style></url></related-urls></urls><pages><style face="normal" font="default" size="100%">25–34</style></pages><isbn><style face="normal" font="default" size="100%">978-989-758-552-4</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Enhancing the selectivity of gas sensing materials towards specific volatile organic compounds (VOCs) is&lt;br /&gt;
challenging due to the chemical simplicity of VOCs as well as the difficulty in interfacing VOC selective&lt;br /&gt;
biological elements with electronic components used in the transduction process. We aimed to tune the&lt;br /&gt;
selectivity of gas sensing materials through the incorporation of VOC-selective peptides into gel-like gas&lt;br /&gt;
sensing materials. Specifically, a peptide (P1) known to discriminate single carbon deviations among benzene&lt;br /&gt;
and derivatives, along with two modified versions (P2 and P3), were integrated with gel compositions&lt;br /&gt;
containing gelatin, ionic liquid and without or with a liquid crystal component (ionogels and hybrid gels&lt;br /&gt;
respectively). These formulations change their electrical or optical properties upon VOC exposure, and were&lt;br /&gt;
tested as sensors in an in-house developed e-nose. Their ability to distinct and identify VOCs was evaluated&lt;br /&gt;
via a supervised machine learning classifier. Enhanced discrimination of benzene and hexane was detected&lt;br /&gt;
for the P1-based hybrid gel. Additionally, complementarity of the electrical and optical sensors was observed&lt;br /&gt;
considering that a combination of both their accuracy predictions yielded the best classification results for the&lt;br /&gt;
tested VOCs. This indicates that a combinatorial array in a dual-mode e-nose could provide optimal&lt;br /&gt;
performance and enhanced selectivity. &lt;/p&gt;
</style></abstract><notes><style face="normal" font="default" size="100%">&lt;p&gt;n/a&lt;/p&gt;
</style></notes></record></records></xml>