An electronic tongue as a classifier tool for assessing perfume olfactory family and storage time-period
The identification of more than three perfumes is difficult and no analytical tool can completely replace the human olfactory system for fragrance classification. Indeed, no analytical system can mimic the human fragrance perception, being the recognition of perfume aroma patterns by conventional or...
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Veröffentlicht in: | Talanta (Oxford) 2020-02, Vol.208, p.120364-120364, Article 120364 |
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creator | Jarboui, Amira Marx, Ítala M.G. Veloso, Ana C.A. Vilaça, Daniel Correia, Daniela M. Dias, Luís G. Mokkadem, Yassin Peres, António M. |
description | The identification of more than three perfumes is difficult and no analytical tool can completely replace the human olfactory system for fragrance classification. Indeed, no analytical system can mimic the human fragrance perception, being the recognition of perfume aroma patterns by conventional or sensor-based analytical tools a challenging task. For the perfume sector, the possibility of applying fast, cost-effective and green analytical devices for perfume analysis would represent a huge economic revenue. Since the perfume aroma pattern will depend on the composition of the liquid phase and on the diffusion properties of their volatile components, this work aimed to apply a potentiometric electronic tongue, comprising non-specific cross-sensitive lipid polymeric membranes, combined with chemometric techniques, as a novel perfume classifier. The multisensors device allowed establishing perfumes’ unique fingerprints, which were successfully used to discriminate men from women perfumes, to identify the perfume aroma family (Citric-Aromatic, Floral, Floral-Fruity, Floral-Oriental, Floral-Woody, Woody-Oriental and Woody-Spicy) and, assessing the perfume storage time-period (≤ 9 months; 9–24 months; and, ≥ 24 months). The established linear discriminant models were based on single-run potentiometric profiles gathered by sub-sets of sensors selected using the simulated annealing algorithm, which enabled achieving correct classification rates of 93–100% (for leave-one-out cross-validation procedure). The satisfactory performance of the electronic tongue demonstrates the versatility of the proposed approach as a practical perfume preliminary classifier sensor device, which industrial application may be foreseen in a near future, contributing to a green-sustained economic growth of the perfume industry.
[Display omitted]
•A lab-made potentiometric E-tongue was designed for perfume analysis.•Lipid sensor membranes allowed establishing interactions with odorant compounds.•E-tongue-LDA-SA showed to be a powerful perfume classifier tool.•Men and women perfumes successful discrimination.•Perfume olfactory family and storage time-periods correctly assessed. |
doi_str_mv | 10.1016/j.talanta.2019.120364 |
format | Article |
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[Display omitted]
•A lab-made potentiometric E-tongue was designed for perfume analysis.•Lipid sensor membranes allowed establishing interactions with odorant compounds.•E-tongue-LDA-SA showed to be a powerful perfume classifier tool.•Men and women perfumes successful discrimination.•Perfume olfactory family and storage time-periods correctly assessed.</description><identifier>ISSN: 0039-9140</identifier><identifier>EISSN: 1873-3573</identifier><identifier>DOI: 10.1016/j.talanta.2019.120364</identifier><identifier>PMID: 31816761</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Linear discriminant analysis ; Perfume olfactory family ; Perfume storage time-period ; Potentiometric electronic tongue ; Simulated annealing algorithm</subject><ispartof>Talanta (Oxford), 2020-02, Vol.208, p.120364-120364, Article 120364</ispartof><rights>2019 Elsevier B.V.</rights><rights>Copyright © 2019 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-53fa41a8d4c700b640036d4db4b018bb8753b1563945c2368681e038f6327e733</citedby><cites>FETCH-LOGICAL-c438t-53fa41a8d4c700b640036d4db4b018bb8753b1563945c2368681e038f6327e733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.talanta.2019.120364$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3541,27915,27916,45986</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31816761$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jarboui, Amira</creatorcontrib><creatorcontrib>Marx, Ítala M.G.</creatorcontrib><creatorcontrib>Veloso, Ana C.A.</creatorcontrib><creatorcontrib>Vilaça, Daniel</creatorcontrib><creatorcontrib>Correia, Daniela M.</creatorcontrib><creatorcontrib>Dias, Luís G.</creatorcontrib><creatorcontrib>Mokkadem, Yassin</creatorcontrib><creatorcontrib>Peres, António M.</creatorcontrib><title>An electronic tongue as a classifier tool for assessing perfume olfactory family and storage time-period</title><title>Talanta (Oxford)</title><addtitle>Talanta</addtitle><description>The identification of more than three perfumes is difficult and no analytical tool can completely replace the human olfactory system for fragrance classification. Indeed, no analytical system can mimic the human fragrance perception, being the recognition of perfume aroma patterns by conventional or sensor-based analytical tools a challenging task. For the perfume sector, the possibility of applying fast, cost-effective and green analytical devices for perfume analysis would represent a huge economic revenue. Since the perfume aroma pattern will depend on the composition of the liquid phase and on the diffusion properties of their volatile components, this work aimed to apply a potentiometric electronic tongue, comprising non-specific cross-sensitive lipid polymeric membranes, combined with chemometric techniques, as a novel perfume classifier. The multisensors device allowed establishing perfumes’ unique fingerprints, which were successfully used to discriminate men from women perfumes, to identify the perfume aroma family (Citric-Aromatic, Floral, Floral-Fruity, Floral-Oriental, Floral-Woody, Woody-Oriental and Woody-Spicy) and, assessing the perfume storage time-period (≤ 9 months; 9–24 months; and, ≥ 24 months). The established linear discriminant models were based on single-run potentiometric profiles gathered by sub-sets of sensors selected using the simulated annealing algorithm, which enabled achieving correct classification rates of 93–100% (for leave-one-out cross-validation procedure). The satisfactory performance of the electronic tongue demonstrates the versatility of the proposed approach as a practical perfume preliminary classifier sensor device, which industrial application may be foreseen in a near future, contributing to a green-sustained economic growth of the perfume industry.
[Display omitted]
•A lab-made potentiometric E-tongue was designed for perfume analysis.•Lipid sensor membranes allowed establishing interactions with odorant compounds.•E-tongue-LDA-SA showed to be a powerful perfume classifier tool.•Men and women perfumes successful discrimination.•Perfume olfactory family and storage time-periods correctly assessed.</description><subject>Linear discriminant analysis</subject><subject>Perfume olfactory family</subject><subject>Perfume storage time-period</subject><subject>Potentiometric electronic tongue</subject><subject>Simulated annealing algorithm</subject><issn>0039-9140</issn><issn>1873-3573</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LxDAQhoMoun78BCVHL12TTppmTyLiFwhe9BzSdLJmaZs1aYX992bZ1aungXeemWEeQi45m3PG5c1qPprODKOZl4wv5rxkIMUBmXFVQwFVDYdkxhgsigUX7IScprRijJXA4JicAFdc1pLPyOfdQLFDO8YweEvHMCwnpCZRQ21nUvLOY8xx6KgLMTcS5nBY0jVGN_VIQ-eMHUPcUGd6322oGVqacmCWSEffY5FJH9pzcuRMl_BiX8_Ix-PD-_1z8fr29HJ_91pYAWosKnBGcKNaYWvGGinyD7IVbSMaxlXTqLqChlcSFqKyJUglFUcGykkoa6wBzsj1bu86hq8J06h7nyx22RWGKekSShCyqoTIaLVDbQwpRXR6HX1v4kZzpreS9UrvJeutZL2TnOeu9iempsf2b-rXagZudwDmR7-zQJ2sx8Fi62NWrdvg_znxA4VvkAM</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Jarboui, Amira</creator><creator>Marx, Ítala M.G.</creator><creator>Veloso, Ana C.A.</creator><creator>Vilaça, Daniel</creator><creator>Correia, Daniela M.</creator><creator>Dias, Luís G.</creator><creator>Mokkadem, Yassin</creator><creator>Peres, António M.</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20200201</creationdate><title>An electronic tongue as a classifier tool for assessing perfume olfactory family and storage time-period</title><author>Jarboui, Amira ; Marx, Ítala M.G. ; Veloso, Ana C.A. ; Vilaça, Daniel ; Correia, Daniela M. ; Dias, Luís G. ; Mokkadem, Yassin ; Peres, António M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-53fa41a8d4c700b640036d4db4b018bb8753b1563945c2368681e038f6327e733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Linear discriminant analysis</topic><topic>Perfume olfactory family</topic><topic>Perfume storage time-period</topic><topic>Potentiometric electronic tongue</topic><topic>Simulated annealing algorithm</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jarboui, Amira</creatorcontrib><creatorcontrib>Marx, Ítala M.G.</creatorcontrib><creatorcontrib>Veloso, Ana C.A.</creatorcontrib><creatorcontrib>Vilaça, Daniel</creatorcontrib><creatorcontrib>Correia, Daniela M.</creatorcontrib><creatorcontrib>Dias, Luís G.</creatorcontrib><creatorcontrib>Mokkadem, Yassin</creatorcontrib><creatorcontrib>Peres, António M.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Talanta (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jarboui, Amira</au><au>Marx, Ítala M.G.</au><au>Veloso, Ana C.A.</au><au>Vilaça, Daniel</au><au>Correia, Daniela M.</au><au>Dias, Luís G.</au><au>Mokkadem, Yassin</au><au>Peres, António M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An electronic tongue as a classifier tool for assessing perfume olfactory family and storage time-period</atitle><jtitle>Talanta (Oxford)</jtitle><addtitle>Talanta</addtitle><date>2020-02-01</date><risdate>2020</risdate><volume>208</volume><spage>120364</spage><epage>120364</epage><pages>120364-120364</pages><artnum>120364</artnum><issn>0039-9140</issn><eissn>1873-3573</eissn><abstract>The identification of more than three perfumes is difficult and no analytical tool can completely replace the human olfactory system for fragrance classification. Indeed, no analytical system can mimic the human fragrance perception, being the recognition of perfume aroma patterns by conventional or sensor-based analytical tools a challenging task. For the perfume sector, the possibility of applying fast, cost-effective and green analytical devices for perfume analysis would represent a huge economic revenue. Since the perfume aroma pattern will depend on the composition of the liquid phase and on the diffusion properties of their volatile components, this work aimed to apply a potentiometric electronic tongue, comprising non-specific cross-sensitive lipid polymeric membranes, combined with chemometric techniques, as a novel perfume classifier. The multisensors device allowed establishing perfumes’ unique fingerprints, which were successfully used to discriminate men from women perfumes, to identify the perfume aroma family (Citric-Aromatic, Floral, Floral-Fruity, Floral-Oriental, Floral-Woody, Woody-Oriental and Woody-Spicy) and, assessing the perfume storage time-period (≤ 9 months; 9–24 months; and, ≥ 24 months). The established linear discriminant models were based on single-run potentiometric profiles gathered by sub-sets of sensors selected using the simulated annealing algorithm, which enabled achieving correct classification rates of 93–100% (for leave-one-out cross-validation procedure). The satisfactory performance of the electronic tongue demonstrates the versatility of the proposed approach as a practical perfume preliminary classifier sensor device, which industrial application may be foreseen in a near future, contributing to a green-sustained economic growth of the perfume industry.
[Display omitted]
•A lab-made potentiometric E-tongue was designed for perfume analysis.•Lipid sensor membranes allowed establishing interactions with odorant compounds.•E-tongue-LDA-SA showed to be a powerful perfume classifier tool.•Men and women perfumes successful discrimination.•Perfume olfactory family and storage time-periods correctly assessed.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>31816761</pmid><doi>10.1016/j.talanta.2019.120364</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Linear discriminant analysis Perfume olfactory family Perfume storage time-period Potentiometric electronic tongue Simulated annealing algorithm |
title | An electronic tongue as a classifier tool for assessing perfume olfactory family and storage time-period |
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