Molecular Properties of Fatty Acid Mixtures Estimated by Online Time-Domain NMR
An approach based on time-domain nuclear magnetic resonance (TD-NMR) enables the estimation of the molecular properties of fatty acid mixtures—kinematic viscosity ( µ ), heating value ( δ ), cetane number (CN), and carbon chain length (CL). In this approach, the 1 H NMR spin–spin relaxation rates R...
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| Veröffentlicht in: | Applied magnetic resonance 2019-03, Vol.50 (1-3), p.159-170 |
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| container_title | Applied magnetic resonance |
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| creator | Nikolskaya, Ekaterina Hiltunen, Yrjö |
| description | An approach based on time-domain nuclear magnetic resonance (TD-NMR) enables the estimation of the molecular properties of fatty acid mixtures—kinematic viscosity (
µ
), heating value (
δ
), cetane number (CN), and carbon chain length (CL). In this approach, the
1
H NMR spin–spin relaxation rates
R
2
or times
T
2
were used to determine these molecular properties. Online monitoring of the
µ
,
δ
, CN, and CL of fatty acid mixtures was performed using an online TD-NMR system that had been modified for flowing samples. The presented results show the potential of TD-NMR for online quality control during the production of liquid fuels. |
| doi_str_mv | 10.1007/s00723-018-1046-6 |
| format | Article |
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µ
), heating value (
δ
), cetane number (CN), and carbon chain length (CL). In this approach, the
1
H NMR spin–spin relaxation rates
R
2
or times
T
2
were used to determine these molecular properties. Online monitoring of the
µ
,
δ
, CN, and CL of fatty acid mixtures was performed using an online TD-NMR system that had been modified for flowing samples. The presented results show the potential of TD-NMR for online quality control during the production of liquid fuels.</description><identifier>ISSN: 0937-9347</identifier><identifier>EISSN: 1613-7507</identifier><identifier>DOI: 10.1007/s00723-018-1046-6</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>Analytical chemistry ; Atoms and Molecules in Strong Fields ; Automation ; Biodiesel fuels ; Biofuels ; Calorific value ; Carbon ; Cetane number ; Diesel fuels ; Fatty acids ; Kinematics ; Laser Matter Interaction ; Liquid fuels ; Magnetic properties ; Mixtures ; Molecular chains ; Molecular properties ; Molecular weight ; NMR ; Nuclear magnetic resonance ; Organic Chemistry ; Original Paper ; Physical Chemistry ; Physics ; Physics and Astronomy ; Process controls ; Quality control ; Quality standards ; Solid State Physics ; Spectroscopy/Spectrometry ; Spectrum analysis ; Time domain analysis ; Viscosity</subject><ispartof>Applied magnetic resonance, 2019-03, Vol.50 (1-3), p.159-170</ispartof><rights>The Author(s) 2018</rights><rights>The Author(s) 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-5c9e908fb6ab416cd7ffd05d0bc88c6580510fbb53b0ce08fa1269bb4627f1f3</citedby><cites>FETCH-LOGICAL-c359t-5c9e908fb6ab416cd7ffd05d0bc88c6580510fbb53b0ce08fa1269bb4627f1f3</cites><orcidid>0000-0002-2918-4005</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00723-018-1046-6$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918135836?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21367,27901,27902,33721,41464,42533,43781,51294</link.rule.ids></links><search><creatorcontrib>Nikolskaya, Ekaterina</creatorcontrib><creatorcontrib>Hiltunen, Yrjö</creatorcontrib><title>Molecular Properties of Fatty Acid Mixtures Estimated by Online Time-Domain NMR</title><title>Applied magnetic resonance</title><addtitle>Appl Magn Reson</addtitle><description>An approach based on time-domain nuclear magnetic resonance (TD-NMR) enables the estimation of the molecular properties of fatty acid mixtures—kinematic viscosity (
µ
), heating value (
δ
), cetane number (CN), and carbon chain length (CL). In this approach, the
1
H NMR spin–spin relaxation rates
R
2
or times
T
2
were used to determine these molecular properties. Online monitoring of the
µ
,
δ
, CN, and CL of fatty acid mixtures was performed using an online TD-NMR system that had been modified for flowing samples. The presented results show the potential of TD-NMR for online quality control during the production of liquid fuels.</description><subject>Analytical chemistry</subject><subject>Atoms and Molecules in Strong Fields</subject><subject>Automation</subject><subject>Biodiesel fuels</subject><subject>Biofuels</subject><subject>Calorific value</subject><subject>Carbon</subject><subject>Cetane number</subject><subject>Diesel fuels</subject><subject>Fatty acids</subject><subject>Kinematics</subject><subject>Laser Matter Interaction</subject><subject>Liquid fuels</subject><subject>Magnetic properties</subject><subject>Mixtures</subject><subject>Molecular chains</subject><subject>Molecular properties</subject><subject>Molecular weight</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Organic Chemistry</subject><subject>Original Paper</subject><subject>Physical Chemistry</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>Process controls</subject><subject>Quality control</subject><subject>Quality standards</subject><subject>Solid State Physics</subject><subject>Spectroscopy/Spectrometry</subject><subject>Spectrum analysis</subject><subject>Time domain analysis</subject><subject>Viscosity</subject><issn>0937-9347</issn><issn>1613-7507</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kE1LAzEQhoMoWKs_wFvAc3Sy2XzssdT6Aa0V6T1ssols2e7WJAv235tSwZOXGRied4Z5ELqlcE8B5EPMpWAEqCIUSkHEGZpQQRmRHOQ5mkDFJKlYKS_RVYxbAMoVlRO0Xg2ds2NXB_wehr0LqXURDx4_1Skd8My2DV6132kMebyIqd3VyTXYHPC679re4U27c-Rx2NVtj99WH9fowtdddDe_fYo2T4vN_IUs18-v89mSWMarRLitXAXKG1GbkgrbSO8b4A0Yq5QVXAGn4I3hzIB1GaxpISpjSlFITz2borvT2n0YvkYXk94OY-jzRV1UVFHGFROZoifKhiHG4Lzeh_xAOGgK-qhNn7TprE0fteljpjhlYmb7Txf-Nv8f-gFwvG9R</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Nikolskaya, Ekaterina</creator><creator>Hiltunen, Yrjö</creator><general>Springer Vienna</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>M2P</scope><scope>P5Z</scope><scope>P62</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-2918-4005</orcidid></search><sort><creationdate>20190301</creationdate><title>Molecular Properties of Fatty Acid Mixtures Estimated by Online Time-Domain NMR</title><author>Nikolskaya, Ekaterina ; Hiltunen, Yrjö</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-5c9e908fb6ab416cd7ffd05d0bc88c6580510fbb53b0ce08fa1269bb4627f1f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Analytical chemistry</topic><topic>Atoms and Molecules in Strong Fields</topic><topic>Automation</topic><topic>Biodiesel fuels</topic><topic>Biofuels</topic><topic>Calorific value</topic><topic>Carbon</topic><topic>Cetane number</topic><topic>Diesel fuels</topic><topic>Fatty acids</topic><topic>Kinematics</topic><topic>Laser Matter Interaction</topic><topic>Liquid fuels</topic><topic>Magnetic properties</topic><topic>Mixtures</topic><topic>Molecular chains</topic><topic>Molecular properties</topic><topic>Molecular weight</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Organic Chemistry</topic><topic>Original Paper</topic><topic>Physical Chemistry</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>Process controls</topic><topic>Quality control</topic><topic>Quality standards</topic><topic>Solid State Physics</topic><topic>Spectroscopy/Spectrometry</topic><topic>Spectrum analysis</topic><topic>Time domain analysis</topic><topic>Viscosity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nikolskaya, Ekaterina</creatorcontrib><creatorcontrib>Hiltunen, Yrjö</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Materials Science Collection</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 Basic</collection><jtitle>Applied magnetic resonance</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nikolskaya, Ekaterina</au><au>Hiltunen, Yrjö</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Molecular Properties of Fatty Acid Mixtures Estimated by Online Time-Domain NMR</atitle><jtitle>Applied magnetic resonance</jtitle><stitle>Appl Magn Reson</stitle><date>2019-03-01</date><risdate>2019</risdate><volume>50</volume><issue>1-3</issue><spage>159</spage><epage>170</epage><pages>159-170</pages><issn>0937-9347</issn><eissn>1613-7507</eissn><abstract>An approach based on time-domain nuclear magnetic resonance (TD-NMR) enables the estimation of the molecular properties of fatty acid mixtures—kinematic viscosity (
µ
), heating value (
δ
), cetane number (CN), and carbon chain length (CL). In this approach, the
1
H NMR spin–spin relaxation rates
R
2
or times
T
2
were used to determine these molecular properties. Online monitoring of the
µ
,
δ
, CN, and CL of fatty acid mixtures was performed using an online TD-NMR system that had been modified for flowing samples. The presented results show the potential of TD-NMR for online quality control during the production of liquid fuels.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><doi>10.1007/s00723-018-1046-6</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-2918-4005</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Analytical chemistry Atoms and Molecules in Strong Fields Automation Biodiesel fuels Biofuels Calorific value Carbon Cetane number Diesel fuels Fatty acids Kinematics Laser Matter Interaction Liquid fuels Magnetic properties Mixtures Molecular chains Molecular properties Molecular weight NMR Nuclear magnetic resonance Organic Chemistry Original Paper Physical Chemistry Physics Physics and Astronomy Process controls Quality control Quality standards Solid State Physics Spectroscopy/Spectrometry Spectrum analysis Time domain analysis Viscosity |
| title | Molecular Properties of Fatty Acid Mixtures Estimated by Online Time-Domain NMR |
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