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Employing Conductive Metal–Organic Frameworks for Voltammetric Detection of Neurochemicals
This paper describes the first implementation of an array of two-dimensional (2D) layered conductive metal–organic frameworks (MOFs) as drop-casted film electrodes that facilitate voltammetric detection of redox active neurochemicals in a multianalyte solution. The device configuration comprises a g...
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Published in: | Journal of the American Chemical Society 2020-07, Vol.142 (27), p.11717-11733 |
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creator | Ko, Michael Mendecki, Lukasz Eagleton, Aileen M Durbin, Claudia G Stolz, Robert M Meng, Zheng Mirica, Katherine A |
description | This paper describes the first implementation of an array of two-dimensional (2D) layered conductive metal–organic frameworks (MOFs) as drop-casted film electrodes that facilitate voltammetric detection of redox active neurochemicals in a multianalyte solution. The device configuration comprises a glassy carbon electrode modified with a film of conductive MOF (M3HXTP2; M = Ni, Cu; and X = NH, 2,3,6,7,10,11-hexaiminotriphenylene (HITP) or O, 2,3,6,7,10,11-hexahydroxytriphenylene (HHTP)). The utility of 2D MOFs in voltammetric sensing is measured by the detection of ascorbic acid (AA), dopamine (DA), uric acid (UA), and serotonin (5-HT) in 0.1 M PBS (pH = 7.4). In particular, Ni3HHTP2 MOFs demonstrated nanomolar detection limits of 63 ± 11 nM for DA and 40 ± 17 nM for 5-HT through a wide concentration range (40 nM–200 μM). The applicability in biologically relevant detection was further demonstrated in simulated urine using Ni3HHTP2 MOFs for the detection of 5-HT with a nanomolar detection limit of 63 ± 11 nM for 5-HT through a wide concentration range (63 nM–200 μM) in the presence of a constant background of DA. The implementation of conductive MOFs in voltammetric detection holds promise for further development of highly modular, sensitive, selective, and stable electroanalytical devices. |
doi_str_mv | 10.1021/jacs.9b13402 |
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The device configuration comprises a glassy carbon electrode modified with a film of conductive MOF (M3HXTP2; M = Ni, Cu; and X = NH, 2,3,6,7,10,11-hexaiminotriphenylene (HITP) or O, 2,3,6,7,10,11-hexahydroxytriphenylene (HHTP)). The utility of 2D MOFs in voltammetric sensing is measured by the detection of ascorbic acid (AA), dopamine (DA), uric acid (UA), and serotonin (5-HT) in 0.1 M PBS (pH = 7.4). In particular, Ni3HHTP2 MOFs demonstrated nanomolar detection limits of 63 ± 11 nM for DA and 40 ± 17 nM for 5-HT through a wide concentration range (40 nM–200 μM). The applicability in biologically relevant detection was further demonstrated in simulated urine using Ni3HHTP2 MOFs for the detection of 5-HT with a nanomolar detection limit of 63 ± 11 nM for 5-HT through a wide concentration range (63 nM–200 μM) in the presence of a constant background of DA. 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Am. Chem. Soc</addtitle><description>This paper describes the first implementation of an array of two-dimensional (2D) layered conductive metal–organic frameworks (MOFs) as drop-casted film electrodes that facilitate voltammetric detection of redox active neurochemicals in a multianalyte solution. The device configuration comprises a glassy carbon electrode modified with a film of conductive MOF (M3HXTP2; M = Ni, Cu; and X = NH, 2,3,6,7,10,11-hexaiminotriphenylene (HITP) or O, 2,3,6,7,10,11-hexahydroxytriphenylene (HHTP)). The utility of 2D MOFs in voltammetric sensing is measured by the detection of ascorbic acid (AA), dopamine (DA), uric acid (UA), and serotonin (5-HT) in 0.1 M PBS (pH = 7.4). In particular, Ni3HHTP2 MOFs demonstrated nanomolar detection limits of 63 ± 11 nM for DA and 40 ± 17 nM for 5-HT through a wide concentration range (40 nM–200 μM). The applicability in biologically relevant detection was further demonstrated in simulated urine using Ni3HHTP2 MOFs for the detection of 5-HT with a nanomolar detection limit of 63 ± 11 nM for 5-HT through a wide concentration range (63 nM–200 μM) in the presence of a constant background of DA. The implementation of conductive MOFs in voltammetric detection holds promise for further development of highly modular, sensitive, selective, and stable electroanalytical devices.</description><subject>Ascorbic Acid - analysis</subject><subject>Biosensing Techniques</subject><subject>Dopamine - analysis</subject><subject>Electric Conductivity</subject><subject>Electrochemical Techniques</subject><subject>Electrodes</subject><subject>Metal-Organic Frameworks - chemistry</subject><subject>Particle Size</subject><subject>Serotonin - analysis</subject><subject>Surface Properties</subject><subject>Uric Acid - analysis</subject><issn>0002-7863</issn><issn>1520-5126</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNptkL1OwzAUhS0EoqWwMaOMDKT4J46TEZUWkApdgAkpcpzrkhLHxU5A3XgH3pAnIVULLExHV_ecc3U_hI4JHhJMyflCKj9Mc8IiTHdQn3CKQ05ovIv6GGMaiiRmPXTg_aIbI5qQfdRjlHCOueijp7FZVnZV1vNgZOuiVU35BsEtNLL6-vicubmsSxVMnDTwbt2LD7R1waOtGmkMNK7bXUIDXcrWgdXBHbTOqmcwpZKVP0R7uhM42uoAPUzG96PrcDq7uhldTEPJUtyEcR4VKqYQKUbSRCcpp5zEKUtjSZiQOsE505KKtOCUSoEJyVVOcMQhiVUkNBug003v0tnXFnyTmdIrqCpZg219RpmIKRWYJZ31bGNVznrvQGdLVxrpVhnB2ZpntuaZbXl29pNtc5sbKH7NPwD_Tq9TC9u6unv0_65vYuV_Wg</recordid><startdate>20200708</startdate><enddate>20200708</enddate><creator>Ko, Michael</creator><creator>Mendecki, Lukasz</creator><creator>Eagleton, Aileen M</creator><creator>Durbin, Claudia G</creator><creator>Stolz, Robert M</creator><creator>Meng, Zheng</creator><creator>Mirica, Katherine A</creator><general>American Chemical Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-1779-7568</orcidid><orcidid>https://orcid.org/0000-0002-6775-3213</orcidid></search><sort><creationdate>20200708</creationdate><title>Employing Conductive Metal–Organic Frameworks for Voltammetric Detection of Neurochemicals</title><author>Ko, Michael ; Mendecki, Lukasz ; Eagleton, Aileen M ; Durbin, Claudia G ; Stolz, Robert M ; Meng, Zheng ; Mirica, Katherine A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a390t-6b4dc62e4c3198f89525169396a137af80b3fa279d522a7011bcb1045e86c47f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Ascorbic Acid - analysis</topic><topic>Biosensing Techniques</topic><topic>Dopamine - analysis</topic><topic>Electric Conductivity</topic><topic>Electrochemical Techniques</topic><topic>Electrodes</topic><topic>Metal-Organic Frameworks - chemistry</topic><topic>Particle Size</topic><topic>Serotonin - analysis</topic><topic>Surface Properties</topic><topic>Uric Acid - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ko, Michael</creatorcontrib><creatorcontrib>Mendecki, Lukasz</creatorcontrib><creatorcontrib>Eagleton, Aileen M</creatorcontrib><creatorcontrib>Durbin, Claudia G</creatorcontrib><creatorcontrib>Stolz, Robert M</creatorcontrib><creatorcontrib>Meng, Zheng</creatorcontrib><creatorcontrib>Mirica, Katherine A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American Chemical Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ko, Michael</au><au>Mendecki, Lukasz</au><au>Eagleton, Aileen M</au><au>Durbin, Claudia G</au><au>Stolz, Robert M</au><au>Meng, Zheng</au><au>Mirica, Katherine A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Employing Conductive Metal–Organic Frameworks for Voltammetric Detection of Neurochemicals</atitle><jtitle>Journal of the American Chemical Society</jtitle><addtitle>J. Am. Chem. Soc</addtitle><date>2020-07-08</date><risdate>2020</risdate><volume>142</volume><issue>27</issue><spage>11717</spage><epage>11733</epage><pages>11717-11733</pages><issn>0002-7863</issn><eissn>1520-5126</eissn><abstract>This paper describes the first implementation of an array of two-dimensional (2D) layered conductive metal–organic frameworks (MOFs) as drop-casted film electrodes that facilitate voltammetric detection of redox active neurochemicals in a multianalyte solution. The device configuration comprises a glassy carbon electrode modified with a film of conductive MOF (M3HXTP2; M = Ni, Cu; and X = NH, 2,3,6,7,10,11-hexaiminotriphenylene (HITP) or O, 2,3,6,7,10,11-hexahydroxytriphenylene (HHTP)). The utility of 2D MOFs in voltammetric sensing is measured by the detection of ascorbic acid (AA), dopamine (DA), uric acid (UA), and serotonin (5-HT) in 0.1 M PBS (pH = 7.4). In particular, Ni3HHTP2 MOFs demonstrated nanomolar detection limits of 63 ± 11 nM for DA and 40 ± 17 nM for 5-HT through a wide concentration range (40 nM–200 μM). The applicability in biologically relevant detection was further demonstrated in simulated urine using Ni3HHTP2 MOFs for the detection of 5-HT with a nanomolar detection limit of 63 ± 11 nM for 5-HT through a wide concentration range (63 nM–200 μM) in the presence of a constant background of DA. The implementation of conductive MOFs in voltammetric detection holds promise for further development of highly modular, sensitive, selective, and stable electroanalytical devices.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>32155057</pmid><doi>10.1021/jacs.9b13402</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-1779-7568</orcidid><orcidid>https://orcid.org/0000-0002-6775-3213</orcidid></addata></record> |
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subjects | Ascorbic Acid - analysis Biosensing Techniques Dopamine - analysis Electric Conductivity Electrochemical Techniques Electrodes Metal-Organic Frameworks - chemistry Particle Size Serotonin - analysis Surface Properties Uric Acid - analysis |
title | Employing Conductive Metal–Organic Frameworks for Voltammetric Detection of Neurochemicals |
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