Enhanced non-enzymatic glucose sensing of Cu–BTC-derived porous copper@carbon agglomerate
Porous copper@carbon agglomerate (PCCA) is prepared by pyrolysis of Cu 3 (BTC) 2 ·3H 2 O (Cu–BTC, BTC = 1,3,5-benzenetricarboxylic acid) in 5% H 2 –N 2 mixture atmosphere. The phase and morphology evolution are thoroughly examined by XRD, Raman, BET, TG, XPS, SEM and TEM, respectively. The results s...
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| Veröffentlicht in: | Journal of materials science 2018-05, Vol.53 (10), p.7305-7315 |
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| creator | Gong, Qianyi Sun, Li-Ping Wu, Zhouling Huo, Li-Hua Zhao, Hui |
| description | Porous copper@carbon agglomerate (PCCA) is prepared by pyrolysis of Cu
3
(BTC)
2
·3H
2
O (Cu–BTC, BTC = 1,3,5-benzenetricarboxylic acid) in 5% H
2
–N
2
mixture atmosphere. The phase and morphology evolution are thoroughly examined by XRD, Raman, BET, TG, XPS, SEM and TEM, respectively. The results show that PCCA is formed at 400 °C and maintains the cubic morphology of the original Cu–BTC crystal. PCCA is composed by round-shaped copper nanoparticles that covered outside by thin layer of carbon. The non-enzymatic glucose sensing properties of PCCA-modified glassy carbon electrode (Cu/GCE) are characterized by cyclic voltammetry. The sensor shows high sensitivity of 614.3 µA mM
−1
to glucose oxidation and negligible responses toward interference from uric acid, ascorbic acid, dopamine and
l
-cysteine at the level of their physiological concentrations. The sensor also exhibits rapid response ( |
| doi_str_mv | 10.1007/s10853-018-2078-x |
| format | Article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2259608827</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A529093694</galeid><sourcerecordid>A529093694</sourcerecordid><originalsourceid>FETCH-LOGICAL-c417t-94498d57da1f1c6af44fd0ec54bb80510a9f45a2de8c5dabbe4c4d143b5532d13</originalsourceid><addsrcrecordid>eNp1kc-KFDEQh4MoOO76AN4aPHnIWkkn0-mb67C6CwvC_jl5COmk0vYynbRJt8x68h18w30Ss4ywDCh1KCi-r4riR8gbBicMoHmfGShZU2CKcmgU3T0jKyabmgoF9XOyAuCccrFmL8mrnO8AQDacrcjXs_DNBIuuCjFQDD_vRzMPtuq3i40Zq4whD6Gvoq82y8Ov3x9vNtRhGn4UY4opLrmycZowfbAmdTFUpu-3ccRkZjwmL7zZZnz9tx-R209nN5tzevnl88Xm9JJawZqZtkK0ysnGGeaZXRsvhHeAVoquUyAZmNYLabhDZaUzXYfCCsdE3UlZc8fqI_J2v3dK8fuCedZ3cUmhnNScy3YNSvHmierNFvUQfJyTseOQrT6VvIW2XreiUCf_oEo5HAcbA_qhzA-EdwdCYWbczb1ZctYX11eHLNuzNsWcE3o9pWE06V4z0I8x6n2MusSoH2PUu-LwvZMLG3pMT8_9X_oD-kugCg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2259608827</pqid></control><display><type>article</type><title>Enhanced non-enzymatic glucose sensing of Cu–BTC-derived porous copper@carbon agglomerate</title><source>SpringerNature Journals</source><creator>Gong, Qianyi ; Sun, Li-Ping ; Wu, Zhouling ; Huo, Li-Hua ; Zhao, Hui</creator><creatorcontrib>Gong, Qianyi ; Sun, Li-Ping ; Wu, Zhouling ; Huo, Li-Hua ; Zhao, Hui</creatorcontrib><description>Porous copper@carbon agglomerate (PCCA) is prepared by pyrolysis of Cu
3
(BTC)
2
·3H
2
O (Cu–BTC, BTC = 1,3,5-benzenetricarboxylic acid) in 5% H
2
–N
2
mixture atmosphere. The phase and morphology evolution are thoroughly examined by XRD, Raman, BET, TG, XPS, SEM and TEM, respectively. The results show that PCCA is formed at 400 °C and maintains the cubic morphology of the original Cu–BTC crystal. PCCA is composed by round-shaped copper nanoparticles that covered outside by thin layer of carbon. The non-enzymatic glucose sensing properties of PCCA-modified glassy carbon electrode (Cu/GCE) are characterized by cyclic voltammetry. The sensor shows high sensitivity of 614.3 µA mM
−1
to glucose oxidation and negligible responses toward interference from uric acid, ascorbic acid, dopamine and
l
-cysteine at the level of their physiological concentrations. The sensor also exhibits rapid response (< 6 s), wide linear range (up to 3.33 mM) and low detection limit (0.29 µM at signal/noise ratio (S/N) = 3). Finally, the good stability, reproducibility and repeatability to glucose detection make PCCA a promising catalyst for non-enzymatic glucose sensor.</description><identifier>ISSN: 0022-2461</identifier><identifier>EISSN: 1573-4803</identifier><identifier>DOI: 10.1007/s10853-018-2078-x</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Ascorbic acid ; Carbon ; Characterization and Evaluation of Materials ; Chemical Routes to Materials ; Chemistry and Materials Science ; Classical Mechanics ; Copper ; Crystallography and Scattering Methods ; Cysteine ; Dopamine ; Enzymes ; Glassy carbon ; Glucose ; Materials Science ; Morphology ; Nanoparticles ; Oxidation ; Physiological aspects ; Polymer Sciences ; Pyrolysis ; Reproducibility ; Sensors ; Solid Mechanics ; Uric acid ; X ray photoelectron spectroscopy</subject><ispartof>Journal of materials science, 2018-05, Vol.53 (10), p.7305-7315</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018</rights><rights>COPYRIGHT 2018 Springer</rights><rights>Journal of Materials Science is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c417t-94498d57da1f1c6af44fd0ec54bb80510a9f45a2de8c5dabbe4c4d143b5532d13</citedby><cites>FETCH-LOGICAL-c417t-94498d57da1f1c6af44fd0ec54bb80510a9f45a2de8c5dabbe4c4d143b5532d13</cites><orcidid>0000-0003-2677-5325 ; 0000-0003-4658-1763 ; 0000-0003-2841-4486 ; 0000-0002-8237-0712 ; 0000-0001-9624-6707</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/s10853-018-2078-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10853-018-2078-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,41493,42562,51324</link.rule.ids></links><search><creatorcontrib>Gong, Qianyi</creatorcontrib><creatorcontrib>Sun, Li-Ping</creatorcontrib><creatorcontrib>Wu, Zhouling</creatorcontrib><creatorcontrib>Huo, Li-Hua</creatorcontrib><creatorcontrib>Zhao, Hui</creatorcontrib><title>Enhanced non-enzymatic glucose sensing of Cu–BTC-derived porous copper@carbon agglomerate</title><title>Journal of materials science</title><addtitle>J Mater Sci</addtitle><description>Porous copper@carbon agglomerate (PCCA) is prepared by pyrolysis of Cu
3
(BTC)
2
·3H
2
O (Cu–BTC, BTC = 1,3,5-benzenetricarboxylic acid) in 5% H
2
–N
2
mixture atmosphere. The phase and morphology evolution are thoroughly examined by XRD, Raman, BET, TG, XPS, SEM and TEM, respectively. The results show that PCCA is formed at 400 °C and maintains the cubic morphology of the original Cu–BTC crystal. PCCA is composed by round-shaped copper nanoparticles that covered outside by thin layer of carbon. The non-enzymatic glucose sensing properties of PCCA-modified glassy carbon electrode (Cu/GCE) are characterized by cyclic voltammetry. The sensor shows high sensitivity of 614.3 µA mM
−1
to glucose oxidation and negligible responses toward interference from uric acid, ascorbic acid, dopamine and
l
-cysteine at the level of their physiological concentrations. The sensor also exhibits rapid response (< 6 s), wide linear range (up to 3.33 mM) and low detection limit (0.29 µM at signal/noise ratio (S/N) = 3). Finally, the good stability, reproducibility and repeatability to glucose detection make PCCA a promising catalyst for non-enzymatic glucose sensor.</description><subject>Ascorbic acid</subject><subject>Carbon</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemical Routes to Materials</subject><subject>Chemistry and Materials Science</subject><subject>Classical Mechanics</subject><subject>Copper</subject><subject>Crystallography and Scattering Methods</subject><subject>Cysteine</subject><subject>Dopamine</subject><subject>Enzymes</subject><subject>Glassy carbon</subject><subject>Glucose</subject><subject>Materials Science</subject><subject>Morphology</subject><subject>Nanoparticles</subject><subject>Oxidation</subject><subject>Physiological aspects</subject><subject>Polymer Sciences</subject><subject>Pyrolysis</subject><subject>Reproducibility</subject><subject>Sensors</subject><subject>Solid Mechanics</subject><subject>Uric acid</subject><subject>X ray photoelectron spectroscopy</subject><issn>0022-2461</issn><issn>1573-4803</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kc-KFDEQh4MoOO76AN4aPHnIWkkn0-mb67C6CwvC_jl5COmk0vYynbRJt8x68h18w30Ss4ywDCh1KCi-r4riR8gbBicMoHmfGShZU2CKcmgU3T0jKyabmgoF9XOyAuCccrFmL8mrnO8AQDacrcjXs_DNBIuuCjFQDD_vRzMPtuq3i40Zq4whD6Gvoq82y8Ov3x9vNtRhGn4UY4opLrmycZowfbAmdTFUpu-3ccRkZjwmL7zZZnz9tx-R209nN5tzevnl88Xm9JJawZqZtkK0ysnGGeaZXRsvhHeAVoquUyAZmNYLabhDZaUzXYfCCsdE3UlZc8fqI_J2v3dK8fuCedZ3cUmhnNScy3YNSvHmierNFvUQfJyTseOQrT6VvIW2XreiUCf_oEo5HAcbA_qhzA-EdwdCYWbczb1ZctYX11eHLNuzNsWcE3o9pWE06V4z0I8x6n2MusSoH2PUu-LwvZMLG3pMT8_9X_oD-kugCg</recordid><startdate>20180501</startdate><enddate>20180501</enddate><creator>Gong, Qianyi</creator><creator>Sun, Li-Ping</creator><creator>Wu, Zhouling</creator><creator>Huo, Li-Hua</creator><creator>Zhao, Hui</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0003-2677-5325</orcidid><orcidid>https://orcid.org/0000-0003-4658-1763</orcidid><orcidid>https://orcid.org/0000-0003-2841-4486</orcidid><orcidid>https://orcid.org/0000-0002-8237-0712</orcidid><orcidid>https://orcid.org/0000-0001-9624-6707</orcidid></search><sort><creationdate>20180501</creationdate><title>Enhanced non-enzymatic glucose sensing of Cu–BTC-derived porous copper@carbon agglomerate</title><author>Gong, Qianyi ; Sun, Li-Ping ; Wu, Zhouling ; Huo, Li-Hua ; Zhao, Hui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c417t-94498d57da1f1c6af44fd0ec54bb80510a9f45a2de8c5dabbe4c4d143b5532d13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Ascorbic acid</topic><topic>Carbon</topic><topic>Characterization and Evaluation of Materials</topic><topic>Chemical Routes to Materials</topic><topic>Chemistry and Materials Science</topic><topic>Classical Mechanics</topic><topic>Copper</topic><topic>Crystallography and Scattering Methods</topic><topic>Cysteine</topic><topic>Dopamine</topic><topic>Enzymes</topic><topic>Glassy carbon</topic><topic>Glucose</topic><topic>Materials Science</topic><topic>Morphology</topic><topic>Nanoparticles</topic><topic>Oxidation</topic><topic>Physiological aspects</topic><topic>Polymer Sciences</topic><topic>Pyrolysis</topic><topic>Reproducibility</topic><topic>Sensors</topic><topic>Solid Mechanics</topic><topic>Uric acid</topic><topic>X ray photoelectron spectroscopy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gong, Qianyi</creatorcontrib><creatorcontrib>Sun, Li-Ping</creatorcontrib><creatorcontrib>Wu, Zhouling</creatorcontrib><creatorcontrib>Huo, Li-Hua</creatorcontrib><creatorcontrib>Zhao, Hui</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</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>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</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 China</collection><collection>Engineering Collection</collection><jtitle>Journal of materials science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gong, Qianyi</au><au>Sun, Li-Ping</au><au>Wu, Zhouling</au><au>Huo, Li-Hua</au><au>Zhao, Hui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enhanced non-enzymatic glucose sensing of Cu–BTC-derived porous copper@carbon agglomerate</atitle><jtitle>Journal of materials science</jtitle><stitle>J Mater Sci</stitle><date>2018-05-01</date><risdate>2018</risdate><volume>53</volume><issue>10</issue><spage>7305</spage><epage>7315</epage><pages>7305-7315</pages><issn>0022-2461</issn><eissn>1573-4803</eissn><abstract>Porous copper@carbon agglomerate (PCCA) is prepared by pyrolysis of Cu
3
(BTC)
2
·3H
2
O (Cu–BTC, BTC = 1,3,5-benzenetricarboxylic acid) in 5% H
2
–N
2
mixture atmosphere. The phase and morphology evolution are thoroughly examined by XRD, Raman, BET, TG, XPS, SEM and TEM, respectively. The results show that PCCA is formed at 400 °C and maintains the cubic morphology of the original Cu–BTC crystal. PCCA is composed by round-shaped copper nanoparticles that covered outside by thin layer of carbon. The non-enzymatic glucose sensing properties of PCCA-modified glassy carbon electrode (Cu/GCE) are characterized by cyclic voltammetry. The sensor shows high sensitivity of 614.3 µA mM
−1
to glucose oxidation and negligible responses toward interference from uric acid, ascorbic acid, dopamine and
l
-cysteine at the level of their physiological concentrations. The sensor also exhibits rapid response (< 6 s), wide linear range (up to 3.33 mM) and low detection limit (0.29 µM at signal/noise ratio (S/N) = 3). Finally, the good stability, reproducibility and repeatability to glucose detection make PCCA a promising catalyst for non-enzymatic glucose sensor.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10853-018-2078-x</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-2677-5325</orcidid><orcidid>https://orcid.org/0000-0003-4658-1763</orcidid><orcidid>https://orcid.org/0000-0003-2841-4486</orcidid><orcidid>https://orcid.org/0000-0002-8237-0712</orcidid><orcidid>https://orcid.org/0000-0001-9624-6707</orcidid></addata></record> |
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| subjects | Ascorbic acid Carbon Characterization and Evaluation of Materials Chemical Routes to Materials Chemistry and Materials Science Classical Mechanics Copper Crystallography and Scattering Methods Cysteine Dopamine Enzymes Glassy carbon Glucose Materials Science Morphology Nanoparticles Oxidation Physiological aspects Polymer Sciences Pyrolysis Reproducibility Sensors Solid Mechanics Uric acid X ray photoelectron spectroscopy |
| title | Enhanced non-enzymatic glucose sensing of Cu–BTC-derived porous copper@carbon agglomerate |
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