Loading…

Sensory Evaluation of Interference Suppression in Odor Reproduction Using Mass Spectrometry

Odor sensing enables us to sense odorant stimuli. This sensation causes a deep subconscious response in humans in various ways and represents an indispensable sensation in daily life. However, unwanted compounds called fixatives, which can cause a contradiction in odorant analysis especially between...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2023-01, Vol.11, p.1-1
Main Authors: Prasetyawan, Dani, Kashiwagi, Yusuke, Nakamoto, Takamichi
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c453t-28c730289c019caa53e13c4019fea5ea22b96180ba9b08e079dc6612afa1a9933
cites cdi_FETCH-LOGICAL-c453t-28c730289c019caa53e13c4019fea5ea22b96180ba9b08e079dc6612afa1a9933
container_end_page 1
container_issue
container_start_page 1
container_title IEEE access
container_volume 11
creator Prasetyawan, Dani
Kashiwagi, Yusuke
Nakamoto, Takamichi
description Odor sensing enables us to sense odorant stimuli. This sensation causes a deep subconscious response in humans in various ways and represents an indispensable sensation in daily life. However, unwanted compounds called fixatives, which can cause a contradiction in odorant analysis especially between mass spectrometry and human subject, are included in odorant samples. Moreover, we do not know the pure odorant mass spectrum. Therefore, it is essential to eliminate the interference of fixatives from the odor sample mass spectrum data and to extract the pure odor mass spectrum. In the present study, we performed independent component analysis (ICA) on the mass spectra of odor samples to remove the influence of fixatives. The advantage of the ICA in separating independent components without a priori knowledge of the original data is useful. The abundance of essential-oil mass spectra that we gathered were utilized as odorant samples. The results were compared with sensory test data from a human subject for a better study of fixative influence. It was revealed that ICA could extract the pure odor sample mass spectrum data without the influence of fixatives, even if the fixatives were added to the odor samples. This study's outcomes allow us to analyze more odor samples for odorant analysis, not hindered by the influence of unwanted compounds.
doi_str_mv 10.1109/ACCESS.2023.3253891
format article
fullrecord <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_proquest_journals_2786975436</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10063948</ieee_id><doaj_id>oai_doaj_org_article_fa2c524c6be54ad59d7d50e6d1bc561b</doaj_id><sourcerecordid>2786975436</sourcerecordid><originalsourceid>FETCH-LOGICAL-c453t-28c730289c019caa53e13c4019fea5ea22b96180ba9b08e079dc6612afa1a9933</originalsourceid><addsrcrecordid>eNpNUU1rwkAQDaWFivUXtIdAz9r9yG6yRwm2FSxCU089LJPNRCKaTXeTgv--0UhxLvP53szwguCRkhmlRL3M03SRZTNGGJ9xJnii6E0wYlSqKRdc3l7F98HE-x3pLelLIh4F3xnW3rpjuPiFfQdtZevQluGybtGV6LA2GGZd0zj0_tSr6nBdWBd-YuNs0ZkzYOOreht-gPdh1qBpnT1g644PwV0Je4-Tix8Hm9fFV_o-Xa3flul8NTWR4O2UJSbmhCXKEKoMgOBIuYn6pEQQCIzlStKE5KBykiCJVWGkpAxKoKAU5-NgOfAWFna6cdUB3FFbqPS5YN1Wg2srs0ddAjOCRUbmKCIohCriQhCUBc2NkDTvuZ4Hrv69nw59q3e2c3V_vmZxIlUsIi77KT5MGWe9d1j-b6VEn0TRgyj6JIq-iNKjngZUhYhXCCK5ihL-B9h6iUc</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2786975436</pqid></control><display><type>article</type><title>Sensory Evaluation of Interference Suppression in Odor Reproduction Using Mass Spectrometry</title><source>IEEE Open Access Journals</source><creator>Prasetyawan, Dani ; Kashiwagi, Yusuke ; Nakamoto, Takamichi</creator><creatorcontrib>Prasetyawan, Dani ; Kashiwagi, Yusuke ; Nakamoto, Takamichi</creatorcontrib><description>Odor sensing enables us to sense odorant stimuli. This sensation causes a deep subconscious response in humans in various ways and represents an indispensable sensation in daily life. However, unwanted compounds called fixatives, which can cause a contradiction in odorant analysis especially between mass spectrometry and human subject, are included in odorant samples. Moreover, we do not know the pure odorant mass spectrum. Therefore, it is essential to eliminate the interference of fixatives from the odor sample mass spectrum data and to extract the pure odor mass spectrum. In the present study, we performed independent component analysis (ICA) on the mass spectra of odor samples to remove the influence of fixatives. The advantage of the ICA in separating independent components without a priori knowledge of the original data is useful. The abundance of essential-oil mass spectra that we gathered were utilized as odorant samples. The results were compared with sensory test data from a human subject for a better study of fixative influence. It was revealed that ICA could extract the pure odor sample mass spectrum data without the influence of fixatives, even if the fixatives were added to the odor samples. This study's outcomes allow us to analyze more odor samples for odorant analysis, not hindered by the influence of unwanted compounds.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2023.3253891</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Essential oils ; fixatives ; Human subjects ; ICA ; Independent component analysis ; independent components ; Integrated circuits ; Interference ; Interference suppression ; Ions ; Mass spectra ; Mass spectrometry ; Mass spectroscopy ; odorant analysis ; odorant samples ; Odors ; Oils ; Scientific imaging ; Sensors ; sensory evaluation ; Temperature measurement ; Time measurement</subject><ispartof>IEEE access, 2023-01, Vol.11, p.1-1</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c453t-28c730289c019caa53e13c4019fea5ea22b96180ba9b08e079dc6612afa1a9933</citedby><cites>FETCH-LOGICAL-c453t-28c730289c019caa53e13c4019fea5ea22b96180ba9b08e079dc6612afa1a9933</cites><orcidid>0000-0002-0599-226X ; 0000-0001-7073-9757</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10063948$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,27632,27923,27924,54932</link.rule.ids></links><search><creatorcontrib>Prasetyawan, Dani</creatorcontrib><creatorcontrib>Kashiwagi, Yusuke</creatorcontrib><creatorcontrib>Nakamoto, Takamichi</creatorcontrib><title>Sensory Evaluation of Interference Suppression in Odor Reproduction Using Mass Spectrometry</title><title>IEEE access</title><addtitle>Access</addtitle><description>Odor sensing enables us to sense odorant stimuli. This sensation causes a deep subconscious response in humans in various ways and represents an indispensable sensation in daily life. However, unwanted compounds called fixatives, which can cause a contradiction in odorant analysis especially between mass spectrometry and human subject, are included in odorant samples. Moreover, we do not know the pure odorant mass spectrum. Therefore, it is essential to eliminate the interference of fixatives from the odor sample mass spectrum data and to extract the pure odor mass spectrum. In the present study, we performed independent component analysis (ICA) on the mass spectra of odor samples to remove the influence of fixatives. The advantage of the ICA in separating independent components without a priori knowledge of the original data is useful. The abundance of essential-oil mass spectra that we gathered were utilized as odorant samples. The results were compared with sensory test data from a human subject for a better study of fixative influence. It was revealed that ICA could extract the pure odor sample mass spectrum data without the influence of fixatives, even if the fixatives were added to the odor samples. This study's outcomes allow us to analyze more odor samples for odorant analysis, not hindered by the influence of unwanted compounds.</description><subject>Essential oils</subject><subject>fixatives</subject><subject>Human subjects</subject><subject>ICA</subject><subject>Independent component analysis</subject><subject>independent components</subject><subject>Integrated circuits</subject><subject>Interference</subject><subject>Interference suppression</subject><subject>Ions</subject><subject>Mass spectra</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>odorant analysis</subject><subject>odorant samples</subject><subject>Odors</subject><subject>Oils</subject><subject>Scientific imaging</subject><subject>Sensors</subject><subject>sensory evaluation</subject><subject>Temperature measurement</subject><subject>Time measurement</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1rwkAQDaWFivUXtIdAz9r9yG6yRwm2FSxCU089LJPNRCKaTXeTgv--0UhxLvP53szwguCRkhmlRL3M03SRZTNGGJ9xJnii6E0wYlSqKRdc3l7F98HE-x3pLelLIh4F3xnW3rpjuPiFfQdtZevQluGybtGV6LA2GGZd0zj0_tSr6nBdWBd-YuNs0ZkzYOOreht-gPdh1qBpnT1g644PwV0Je4-Tix8Hm9fFV_o-Xa3flul8NTWR4O2UJSbmhCXKEKoMgOBIuYn6pEQQCIzlStKE5KBykiCJVWGkpAxKoKAU5-NgOfAWFna6cdUB3FFbqPS5YN1Wg2srs0ddAjOCRUbmKCIohCriQhCUBc2NkDTvuZ4Hrv69nw59q3e2c3V_vmZxIlUsIi77KT5MGWe9d1j-b6VEn0TRgyj6JIq-iNKjngZUhYhXCCK5ihL-B9h6iUc</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Prasetyawan, Dani</creator><creator>Kashiwagi, Yusuke</creator><creator>Nakamoto, Takamichi</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0599-226X</orcidid><orcidid>https://orcid.org/0000-0001-7073-9757</orcidid></search><sort><creationdate>20230101</creationdate><title>Sensory Evaluation of Interference Suppression in Odor Reproduction Using Mass Spectrometry</title><author>Prasetyawan, Dani ; Kashiwagi, Yusuke ; Nakamoto, Takamichi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-28c730289c019caa53e13c4019fea5ea22b96180ba9b08e079dc6612afa1a9933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Essential oils</topic><topic>fixatives</topic><topic>Human subjects</topic><topic>ICA</topic><topic>Independent component analysis</topic><topic>independent components</topic><topic>Integrated circuits</topic><topic>Interference</topic><topic>Interference suppression</topic><topic>Ions</topic><topic>Mass spectra</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>odorant analysis</topic><topic>odorant samples</topic><topic>Odors</topic><topic>Oils</topic><topic>Scientific imaging</topic><topic>Sensors</topic><topic>sensory evaluation</topic><topic>Temperature measurement</topic><topic>Time measurement</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Prasetyawan, Dani</creatorcontrib><creatorcontrib>Kashiwagi, Yusuke</creatorcontrib><creatorcontrib>Nakamoto, Takamichi</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE Electronic Library Online</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</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>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Prasetyawan, Dani</au><au>Kashiwagi, Yusuke</au><au>Nakamoto, Takamichi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sensory Evaluation of Interference Suppression in Odor Reproduction Using Mass Spectrometry</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2023-01-01</date><risdate>2023</risdate><volume>11</volume><spage>1</spage><epage>1</epage><pages>1-1</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>Odor sensing enables us to sense odorant stimuli. This sensation causes a deep subconscious response in humans in various ways and represents an indispensable sensation in daily life. However, unwanted compounds called fixatives, which can cause a contradiction in odorant analysis especially between mass spectrometry and human subject, are included in odorant samples. Moreover, we do not know the pure odorant mass spectrum. Therefore, it is essential to eliminate the interference of fixatives from the odor sample mass spectrum data and to extract the pure odor mass spectrum. In the present study, we performed independent component analysis (ICA) on the mass spectra of odor samples to remove the influence of fixatives. The advantage of the ICA in separating independent components without a priori knowledge of the original data is useful. The abundance of essential-oil mass spectra that we gathered were utilized as odorant samples. The results were compared with sensory test data from a human subject for a better study of fixative influence. It was revealed that ICA could extract the pure odor sample mass spectrum data without the influence of fixatives, even if the fixatives were added to the odor samples. This study's outcomes allow us to analyze more odor samples for odorant analysis, not hindered by the influence of unwanted compounds.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2023.3253891</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-0599-226X</orcidid><orcidid>https://orcid.org/0000-0001-7073-9757</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2169-3536
ispartof IEEE access, 2023-01, Vol.11, p.1-1
issn 2169-3536
2169-3536
language eng
recordid cdi_proquest_journals_2786975436
source IEEE Open Access Journals
subjects Essential oils
fixatives
Human subjects
ICA
Independent component analysis
independent components
Integrated circuits
Interference
Interference suppression
Ions
Mass spectra
Mass spectrometry
Mass spectroscopy
odorant analysis
odorant samples
Odors
Oils
Scientific imaging
Sensors
sensory evaluation
Temperature measurement
Time measurement
title Sensory Evaluation of Interference Suppression in Odor Reproduction Using Mass Spectrometry
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T16%3A51%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sensory%20Evaluation%20of%20Interference%20Suppression%20in%20Odor%20Reproduction%20Using%20Mass%20Spectrometry&rft.jtitle=IEEE%20access&rft.au=Prasetyawan,%20Dani&rft.date=2023-01-01&rft.volume=11&rft.spage=1&rft.epage=1&rft.pages=1-1&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2023.3253891&rft_dat=%3Cproquest_ieee_%3E2786975436%3C/proquest_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c453t-28c730289c019caa53e13c4019fea5ea22b96180ba9b08e079dc6612afa1a9933%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2786975436&rft_id=info:pmid/&rft_ieee_id=10063948&rfr_iscdi=true