Facile Preparation of Homogeneous Copper Nanoclusters Exhibiting Excellent Tetraenzyme Mimetic Activities for Colorimetric Glutathione Sensing and Fluorimetric Ascorbic Acid Sensing
Nanozymes are artificial enzymes, which can substitute traditional biological enzymes for multifield applications. However, to date, it remains challenging to search novel mimic enzymes or multienzyme mimics. Herein, a facile and green method for preparing monodisperse, homogeneous copper nanocluste...
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creator | Liu, Chongyang Cai, Yuanyuan Wang, Jin Liu, Xuan Ren, Han Yan, Lu Zhang, Yujiao Yang, Shuqing Guo, Jing Liu, Aihua |
description | Nanozymes are artificial enzymes, which can substitute traditional biological enzymes for multifield applications. However, to date, it remains challenging to search novel mimic enzymes or multienzyme mimics. Herein, a facile and green method for preparing monodisperse, homogeneous copper nanoclusters (Cu NCs) with smaller size was developed, which used cysteamine as a template and hydrazine hydrate as a reductant to reduce Cu2+. The as-prepared Cu NCs exhibited excellent tetraenzyme-like activities, including peroxidase (POD)-, catalase (CAT)-, superoxide dismutase (SOD)-, and ascorbic acid oxidase (AAO)-mimic activities. The mechanisms, kinetics, and catalytic performances of Cu NCs were systematically studied. Moreover, based on the POD-like activity of Cu NCs, sensitive and simple colorimetric sensing glutathione (GSH) was explored, with the low limit of detection of 0.89 μM GSH (S/N = 3). Additionally, a novel fluorimetric ascorbic acid (AA) sensor was developed with the linear range of 0.5–30 μM and limit of detection (LOD) of 0.144 μM, on the basis of the principle that AA is oxidized to dehydroascorbic acid (DHAA) specifically catalyzed by the AAO-like activity of Cu NCs, while DHAA can further react with o-phenylenediamine (OPDA) to generate a highly fluorescent quinoxaline (DFQ) derivative. The as-proposed colorimetric GSH sensor and the fluorimetric AA sensor were capable of detecting GSH and AA, respectively, in real samples accurately and reproducibly. Thus, the Cu NCs-based multienzyme mimic is a promising candidate for biocatalysis and biosensing. |
doi_str_mv | 10.1021/acsami.0c11983 |
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However, to date, it remains challenging to search novel mimic enzymes or multienzyme mimics. Herein, a facile and green method for preparing monodisperse, homogeneous copper nanoclusters (Cu NCs) with smaller size was developed, which used cysteamine as a template and hydrazine hydrate as a reductant to reduce Cu2+. The as-prepared Cu NCs exhibited excellent tetraenzyme-like activities, including peroxidase (POD)-, catalase (CAT)-, superoxide dismutase (SOD)-, and ascorbic acid oxidase (AAO)-mimic activities. The mechanisms, kinetics, and catalytic performances of Cu NCs were systematically studied. Moreover, based on the POD-like activity of Cu NCs, sensitive and simple colorimetric sensing glutathione (GSH) was explored, with the low limit of detection of 0.89 μM GSH (S/N = 3). Additionally, a novel fluorimetric ascorbic acid (AA) sensor was developed with the linear range of 0.5–30 μM and limit of detection (LOD) of 0.144 μM, on the basis of the principle that AA is oxidized to dehydroascorbic acid (DHAA) specifically catalyzed by the AAO-like activity of Cu NCs, while DHAA can further react with o-phenylenediamine (OPDA) to generate a highly fluorescent quinoxaline (DFQ) derivative. The as-proposed colorimetric GSH sensor and the fluorimetric AA sensor were capable of detecting GSH and AA, respectively, in real samples accurately and reproducibly. Thus, the Cu NCs-based multienzyme mimic is a promising candidate for biocatalysis and biosensing.</description><identifier>ISSN: 1944-8244</identifier><identifier>EISSN: 1944-8252</identifier><identifier>DOI: 10.1021/acsami.0c11983</identifier><identifier>PMID: 32844641</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Ascorbate Oxidase - chemistry ; Ascorbate Oxidase - metabolism ; Ascorbic Acid - analysis ; Ascorbic Acid - metabolism ; Biological and Medical Applications of Materials and Interfaces ; Catalase - chemistry ; Catalase - metabolism ; Colorimetry ; Copper - chemistry ; Copper - metabolism ; Fluorometry ; Glutathione - analysis ; Glutathione - metabolism ; Metal Nanoparticles - chemistry ; Particle Size ; Peroxidase - chemistry ; Peroxidase - metabolism ; Superoxide Dismutase - chemistry ; Superoxide Dismutase - metabolism ; Surface Properties</subject><ispartof>ACS applied materials & interfaces, 2020-09, Vol.12 (38), p.42521-42530</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a396t-38c149760522ea3c39e9323da12eab106fa28579dda57a705f845fcd449495513</citedby><cites>FETCH-LOGICAL-a396t-38c149760522ea3c39e9323da12eab106fa28579dda57a705f845fcd449495513</cites><orcidid>0000-0003-4260-1982</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acsami.0c11983$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acsami.0c11983$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32844641$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Chongyang</creatorcontrib><creatorcontrib>Cai, Yuanyuan</creatorcontrib><creatorcontrib>Wang, Jin</creatorcontrib><creatorcontrib>Liu, Xuan</creatorcontrib><creatorcontrib>Ren, Han</creatorcontrib><creatorcontrib>Yan, Lu</creatorcontrib><creatorcontrib>Zhang, Yujiao</creatorcontrib><creatorcontrib>Yang, Shuqing</creatorcontrib><creatorcontrib>Guo, Jing</creatorcontrib><creatorcontrib>Liu, Aihua</creatorcontrib><title>Facile Preparation of Homogeneous Copper Nanoclusters Exhibiting Excellent Tetraenzyme Mimetic Activities for Colorimetric Glutathione Sensing and Fluorimetric Ascorbic Acid Sensing</title><title>ACS applied materials & interfaces</title><addtitle>ACS Appl. Mater. Interfaces</addtitle><description>Nanozymes are artificial enzymes, which can substitute traditional biological enzymes for multifield applications. However, to date, it remains challenging to search novel mimic enzymes or multienzyme mimics. Herein, a facile and green method for preparing monodisperse, homogeneous copper nanoclusters (Cu NCs) with smaller size was developed, which used cysteamine as a template and hydrazine hydrate as a reductant to reduce Cu2+. The as-prepared Cu NCs exhibited excellent tetraenzyme-like activities, including peroxidase (POD)-, catalase (CAT)-, superoxide dismutase (SOD)-, and ascorbic acid oxidase (AAO)-mimic activities. The mechanisms, kinetics, and catalytic performances of Cu NCs were systematically studied. Moreover, based on the POD-like activity of Cu NCs, sensitive and simple colorimetric sensing glutathione (GSH) was explored, with the low limit of detection of 0.89 μM GSH (S/N = 3). Additionally, a novel fluorimetric ascorbic acid (AA) sensor was developed with the linear range of 0.5–30 μM and limit of detection (LOD) of 0.144 μM, on the basis of the principle that AA is oxidized to dehydroascorbic acid (DHAA) specifically catalyzed by the AAO-like activity of Cu NCs, while DHAA can further react with o-phenylenediamine (OPDA) to generate a highly fluorescent quinoxaline (DFQ) derivative. The as-proposed colorimetric GSH sensor and the fluorimetric AA sensor were capable of detecting GSH and AA, respectively, in real samples accurately and reproducibly. Thus, the Cu NCs-based multienzyme mimic is a promising candidate for biocatalysis and biosensing.</description><subject>Ascorbate Oxidase - chemistry</subject><subject>Ascorbate Oxidase - metabolism</subject><subject>Ascorbic Acid - analysis</subject><subject>Ascorbic Acid - metabolism</subject><subject>Biological and Medical Applications of Materials and Interfaces</subject><subject>Catalase - chemistry</subject><subject>Catalase - metabolism</subject><subject>Colorimetry</subject><subject>Copper - chemistry</subject><subject>Copper - metabolism</subject><subject>Fluorometry</subject><subject>Glutathione - analysis</subject><subject>Glutathione - metabolism</subject><subject>Metal Nanoparticles - chemistry</subject><subject>Particle Size</subject><subject>Peroxidase - chemistry</subject><subject>Peroxidase - metabolism</subject><subject>Superoxide Dismutase - chemistry</subject><subject>Superoxide Dismutase - metabolism</subject><subject>Surface Properties</subject><issn>1944-8244</issn><issn>1944-8252</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kE1P3DAQhq0KVCjttUfkM9Ju_ZmNj6sVC5UoIEHP0awzAaPEjmynKvwv_l-9XT5OnGZG87zvjF5CvnM250zwH2ATDG7OLOemlp_IITdKzWqhxd5br9QB-ZLSA2OVFEx_JgdS1EpVih-S5zVY1yO9jjhChOyCp6Gj52EId-gxTImuwjhipJfgg-2nlDEmevr33m1cdv6utBb7Hn2mt5gjoH96HJD-cgNmZ-nSZvengJhoF2Lx6kPcrmLZnfVThnxfTiK9QZ-2buBbuu6nd2iZbIib_06ufcW-kv0O-oTfXuoR-b0-vV2dzy6uzn6ulhczkKbKM1lbrsyiYloIBGmlQSOFbIGXccNZ1YGo9cK0LegFLJjuaqU72ypllNGayyMy3_naGFKK2DVjeQziY8NZs82_2eXfvORfBMc7wThtBmzf8NfAC3CyA4qweQhT9OX_j9z-AX1OlNw</recordid><startdate>20200923</startdate><enddate>20200923</enddate><creator>Liu, Chongyang</creator><creator>Cai, Yuanyuan</creator><creator>Wang, Jin</creator><creator>Liu, Xuan</creator><creator>Ren, Han</creator><creator>Yan, Lu</creator><creator>Zhang, Yujiao</creator><creator>Yang, Shuqing</creator><creator>Guo, Jing</creator><creator>Liu, Aihua</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><orcidid>https://orcid.org/0000-0003-4260-1982</orcidid></search><sort><creationdate>20200923</creationdate><title>Facile Preparation of Homogeneous Copper Nanoclusters Exhibiting Excellent Tetraenzyme Mimetic Activities for Colorimetric Glutathione Sensing and Fluorimetric Ascorbic Acid Sensing</title><author>Liu, Chongyang ; Cai, Yuanyuan ; Wang, Jin ; Liu, Xuan ; Ren, Han ; Yan, Lu ; Zhang, Yujiao ; Yang, Shuqing ; Guo, Jing ; Liu, Aihua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a396t-38c149760522ea3c39e9323da12eab106fa28579dda57a705f845fcd449495513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Ascorbate Oxidase - chemistry</topic><topic>Ascorbate Oxidase - metabolism</topic><topic>Ascorbic Acid - analysis</topic><topic>Ascorbic Acid - metabolism</topic><topic>Biological and Medical Applications of Materials and Interfaces</topic><topic>Catalase - chemistry</topic><topic>Catalase - metabolism</topic><topic>Colorimetry</topic><topic>Copper - chemistry</topic><topic>Copper - metabolism</topic><topic>Fluorometry</topic><topic>Glutathione - analysis</topic><topic>Glutathione - metabolism</topic><topic>Metal Nanoparticles - chemistry</topic><topic>Particle Size</topic><topic>Peroxidase - chemistry</topic><topic>Peroxidase - metabolism</topic><topic>Superoxide Dismutase - chemistry</topic><topic>Superoxide Dismutase - metabolism</topic><topic>Surface Properties</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Chongyang</creatorcontrib><creatorcontrib>Cai, Yuanyuan</creatorcontrib><creatorcontrib>Wang, Jin</creatorcontrib><creatorcontrib>Liu, Xuan</creatorcontrib><creatorcontrib>Ren, Han</creatorcontrib><creatorcontrib>Yan, Lu</creatorcontrib><creatorcontrib>Zhang, Yujiao</creatorcontrib><creatorcontrib>Yang, Shuqing</creatorcontrib><creatorcontrib>Guo, Jing</creatorcontrib><creatorcontrib>Liu, Aihua</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>ACS applied materials & interfaces</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Chongyang</au><au>Cai, Yuanyuan</au><au>Wang, Jin</au><au>Liu, Xuan</au><au>Ren, Han</au><au>Yan, Lu</au><au>Zhang, Yujiao</au><au>Yang, Shuqing</au><au>Guo, Jing</au><au>Liu, Aihua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Facile Preparation of Homogeneous Copper Nanoclusters Exhibiting Excellent Tetraenzyme Mimetic Activities for Colorimetric Glutathione Sensing and Fluorimetric Ascorbic Acid Sensing</atitle><jtitle>ACS applied materials & interfaces</jtitle><addtitle>ACS Appl. Mater. Interfaces</addtitle><date>2020-09-23</date><risdate>2020</risdate><volume>12</volume><issue>38</issue><spage>42521</spage><epage>42530</epage><pages>42521-42530</pages><issn>1944-8244</issn><eissn>1944-8252</eissn><abstract>Nanozymes are artificial enzymes, which can substitute traditional biological enzymes for multifield applications. However, to date, it remains challenging to search novel mimic enzymes or multienzyme mimics. Herein, a facile and green method for preparing monodisperse, homogeneous copper nanoclusters (Cu NCs) with smaller size was developed, which used cysteamine as a template and hydrazine hydrate as a reductant to reduce Cu2+. The as-prepared Cu NCs exhibited excellent tetraenzyme-like activities, including peroxidase (POD)-, catalase (CAT)-, superoxide dismutase (SOD)-, and ascorbic acid oxidase (AAO)-mimic activities. The mechanisms, kinetics, and catalytic performances of Cu NCs were systematically studied. Moreover, based on the POD-like activity of Cu NCs, sensitive and simple colorimetric sensing glutathione (GSH) was explored, with the low limit of detection of 0.89 μM GSH (S/N = 3). Additionally, a novel fluorimetric ascorbic acid (AA) sensor was developed with the linear range of 0.5–30 μM and limit of detection (LOD) of 0.144 μM, on the basis of the principle that AA is oxidized to dehydroascorbic acid (DHAA) specifically catalyzed by the AAO-like activity of Cu NCs, while DHAA can further react with o-phenylenediamine (OPDA) to generate a highly fluorescent quinoxaline (DFQ) derivative. The as-proposed colorimetric GSH sensor and the fluorimetric AA sensor were capable of detecting GSH and AA, respectively, in real samples accurately and reproducibly. Thus, the Cu NCs-based multienzyme mimic is a promising candidate for biocatalysis and biosensing.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>32844641</pmid><doi>10.1021/acsami.0c11983</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-4260-1982</orcidid></addata></record> |
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subjects | Ascorbate Oxidase - chemistry Ascorbate Oxidase - metabolism Ascorbic Acid - analysis Ascorbic Acid - metabolism Biological and Medical Applications of Materials and Interfaces Catalase - chemistry Catalase - metabolism Colorimetry Copper - chemistry Copper - metabolism Fluorometry Glutathione - analysis Glutathione - metabolism Metal Nanoparticles - chemistry Particle Size Peroxidase - chemistry Peroxidase - metabolism Superoxide Dismutase - chemistry Superoxide Dismutase - metabolism Surface Properties |
title | Facile Preparation of Homogeneous Copper Nanoclusters Exhibiting Excellent Tetraenzyme Mimetic Activities for Colorimetric Glutathione Sensing and Fluorimetric Ascorbic Acid Sensing |
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