<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T03:24:56Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10459.1/84507" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10459.1/84507</identifier><datestamp>2024-12-05T22:06:32Z</datestamp><setSpec>com_2072_3622</setSpec><setSpec>col_2072_479130</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Application of a Single-Type eNose to Discriminate the Brewed Aroma of One Caffeinated and Decaffeinated Encapsulated Espresso Coffee Type</dc:title>
   <dc:creator>Palacín Roca, Jordi</dc:creator>
   <dc:creator>Rubies, Elena</dc:creator>
   <dc:creator>Clotet Bellmunt, Eduard</dc:creator>
   <dc:subject>Electronic nose</dc:subject>
   <dc:subject>e-nose</dc:subject>
   <dc:subject>eNose</dc:subject>
   <dc:subject>LDA</dc:subject>
   <dc:subject>Coffee aroma</dc:subject>
   <dc:subject>Espresso coffee</dc:subject>
   <dc:subject>Caffeinated and decaffeinated coffee discrimination</dc:subject>
   <dc:description>This paper assesses a custom single-type electronic nose (eNose) applied to differentiate&#xd;
the complex aromas generated by the caffeinated and decaffeinated versions of one encapsulated&#xd;
espresso coffee mixture type. The eNose used is composed of 16 single-type (identical) metal–oxide&#xd;
semiconductor (MOX) gas sensors based on microelectromechanical system (MEMS). This eNose&#xd;
proposal takes advantage of the small but inherent sensing variability of MOX gas sensors in order to&#xd;
provide a multisensorial description of volatiles or aromas. Results have shown that the information&#xd;
provided with this eNose processed using LDA is able to successfully discriminate the complex&#xd;
aromas of one caffeinated and decaffeinated encapsulated espresso coffee type.</dc:description>
   <dc:date>2022-12-09T11:56:57Z</dc:date>
   <dc:date>2022-12-09T11:56:57Z</dc:date>
   <dc:date>2022</dc:date>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:identifier>https://doi.org/10.3390/chemosensors10100421</dc:identifier>
   <dc:identifier>2227-9040</dc:identifier>
   <dc:identifier>http://hdl.handle.net/10459.1/84507</dc:identifier>
   <dc:identifier>http://hdl.handle.net/10459.1/84507</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>Reproducció del document publicat a https://doi.org/10.3390/chemosensors10100421</dc:relation>
   <dc:relation>Chemosensors, 2022, vol. 10, núm. 10, 421</dc:relation>
   <dc:rights>cc-by (c) Jordi Palacín, Elena Rubies, Eduard Clotet, 2022</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
   <dc:publisher>MDPI</dc:publisher>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>