Ultrasensitive colorimetric and fluorometric detection of Hg(II) based on the use of gold nanoparticles and a catalytic hairpin assembly View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-12

AUTHORS

Lizhu Yang, Wen Yun, Yilin Chen, Hong Wu, Xingyan Liu, Min Fu, Yu Huang

ABSTRACT

An ultrasensitive method for colorimetric and fluorometric determination of Hg(II) is described. It involves a dual signal detection strategy based on the use of gold nanoparticles (AuNPs) and of a catalytic hairpin self-assembly. Three fluorophore-labeled metastable hairpin DNA probes were adsorbed on AuNPs to quench the fluorescence of the labels. The addition of Hg(II) causes catalytic self-assembly of the hairpins due to formation of T-Hg(II)-T base pairs with the aid of helper DNA to form a branched junction. The branched junction is a dsDNA that is released from the surface of the AuNPs. As a result, fluorescence recovers. Its intensity, best measured at excitation/emission wavelengths of 492/517 nm, increases linearly in the 0.2 to 100 nM of Hg(II) concentration range. The limit of detection is 0.1 nM. This is comparable to, or better than in other amplification based methods. The detection scheme offers both colorimetric (visual) and fluorescent read-out. Graphic abstractThe fluorescence of labelled hairpins adsorbed on AuNPs is quenched in the absence of Hg(II) ions and the AuNPs shows red color with the protection of hairpins. However, Hg(II) ions can induce hairpins to be released by the AuNPs. As a result, fluorescence pops up and a red-blue color change occurs. The fluorescence of labelled hairpins adsorbed on AuNPs is quenched in the absence of Hg(II) ions and the AuNPs shows red color with the protection of hairpins. However, Hg(II) ions can induce hairpins to be released by the AuNPs. As a result, fluorescence pops up and a red-blue color change occurs. More... »

PAGES

4741-4747

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00604-017-2516-5

DOI

http://dx.doi.org/10.1007/s00604-017-2516-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091927927


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0306", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Chemistry (incl. Structural)", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Wenzhou Medical College", 
          "id": "https://www.grid.ac/institutes/grid.268099.c", 
          "name": [
            "School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Lizhu", 
        "id": "sg:person.016047105423.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016047105423.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chongqing Technology and Business University", 
          "id": "https://www.grid.ac/institutes/grid.411578.e", 
          "name": [
            "Chongqing Key Laboratory of Catalysis and Functional Organic Molecules, College of Environment and Resources, Chongqing Technology and Business University, 400067, Chongqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yun", 
        "givenName": "Wen", 
        "id": "sg:person.01235361037.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01235361037.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chongqing Metrology Quality Inspection and Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.495321.8", 
          "name": [
            "Chongqing Academy of Metrology and Quality Inspection, 401123, Chongqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Yilin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chongqing Technology and Business University", 
          "id": "https://www.grid.ac/institutes/grid.411578.e", 
          "name": [
            "Chongqing Key Laboratory of Catalysis and Functional Organic Molecules, College of Environment and Resources, Chongqing Technology and Business University, 400067, Chongqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Hong", 
        "id": "sg:person.07363243141.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07363243141.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chongqing Technology and Business University", 
          "id": "https://www.grid.ac/institutes/grid.411578.e", 
          "name": [
            "Chongqing Key Laboratory of Catalysis and Functional Organic Molecules, College of Environment and Resources, Chongqing Technology and Business University, 400067, Chongqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Xingyan", 
        "id": "sg:person.011553564541.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011553564541.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chongqing Technology and Business University", 
          "id": "https://www.grid.ac/institutes/grid.411578.e", 
          "name": [
            "Chongqing Key Laboratory of Catalysis and Functional Organic Molecules, College of Environment and Resources, Chongqing Technology and Business University, 400067, Chongqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fu", 
        "givenName": "Min", 
        "id": "sg:person.0663275303.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663275303.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chongqing Institute of Green and Intelligent Technology", 
          "id": "https://www.grid.ac/institutes/grid.458445.c", 
          "name": [
            "Key Laboratory of Reservoir Aquatic Environment of CAS, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, Chongqing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huang", 
        "givenName": "Yu", 
        "id": "sg:person.0646377051.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646377051.43"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1073/pnas.1005632107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000003397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja0433323", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001950893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja0433323", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001950893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b903993g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004307640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b903993g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004307640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2010.07.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008099151"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c6an00762g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008667569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c1cs15028f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010409957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.snb.2016.09.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010477042"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ar500059c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012162358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2011.11.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012690029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bios.2015.02.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014993212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.saa.2014.08.129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015293822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c3cc46716c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016470253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b921191h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020889360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b921191h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020889360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac300632u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021449840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bios.2015.06.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021942699"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bios.2010.07.098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022323323"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-015-1482-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023872620", 
          "https://doi.org/10.1007/s00604-015-1482-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.275.5303.1102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032000189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bios.2010.03.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037049913"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.talanta.2013.03.055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037713614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.talanta.2010.07.076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038476140"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c1cc14012d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039606273"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b719856f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040206108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bios.2015.09.065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041498255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2006.03.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044279568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-016-1967-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045180673", 
          "https://doi.org/10.1007/s00604-016-1967-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-016-1967-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045180673", 
          "https://doi.org/10.1007/s00604-016-1967-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bios.2011.10.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050359430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja056354d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051586334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja056354d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051586334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac0006627", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054969702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac0006627", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054969702"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac2019014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055002001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac2019014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055002001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac202993p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055002373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac303084d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055003686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac400228q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055004058"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac500192r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055007456"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac9010809", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055071395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac9010809", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055071395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acsami.5b02603", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055126932"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja065552h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055843060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja065552h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055843060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja076716c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055846176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja076716c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055846176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la00004a044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056136476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077803041", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0039-9140(02)00096-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077803041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-017-2134-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084022891", 
          "https://doi.org/10.1007/s00604-017-2134-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-017-2134-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084022891", 
          "https://doi.org/10.1007/s00604-017-2134-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-017-2250-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085447148", 
          "https://doi.org/10.1007/s00604-017-2250-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-017-2250-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085447148", 
          "https://doi.org/10.1007/s00604-017-2250-z"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-12", 
    "datePublishedReg": "2017-12-01", 
    "description": "An ultrasensitive method for colorimetric and fluorometric determination of Hg(II) is described. It involves a dual signal detection strategy based on the use of gold nanoparticles (AuNPs) and of a catalytic hairpin self-assembly. Three fluorophore-labeled metastable hairpin DNA probes were adsorbed on AuNPs to quench the fluorescence of the labels. The addition of Hg(II) causes catalytic self-assembly of the hairpins due to formation of T-Hg(II)-T base pairs with the aid of helper DNA to form a branched junction. The branched junction is a dsDNA that is released from the surface of the AuNPs. As a result, fluorescence recovers. Its intensity, best measured at excitation/emission wavelengths of 492/517 nm, increases linearly in the 0.2 to 100 nM of Hg(II) concentration range. The limit of detection is 0.1 nM. This is comparable to, or better than in other amplification based methods. The detection scheme offers both colorimetric (visual) and fluorescent read-out. Graphic abstractThe fluorescence of labelled hairpins adsorbed on AuNPs is quenched in the absence of Hg(II) ions and the AuNPs shows red color with the protection of hairpins. However, Hg(II) ions can induce hairpins to be released by the AuNPs. As a result, fluorescence pops up and a red-blue color change occurs. The fluorescence of labelled hairpins adsorbed on AuNPs is quenched in the absence of Hg(II) ions and the AuNPs shows red color with the protection of hairpins. However, Hg(II) ions can induce hairpins to be released by the AuNPs. As a result, fluorescence pops up and a red-blue color change occurs.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00604-017-2516-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7202973", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1009468", 
        "issn": [
          "0026-3672", 
          "1436-5073"
        ], 
        "name": "Microchimica Acta", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "184"
      }
    ], 
    "name": "Ultrasensitive colorimetric and fluorometric detection of Hg(II) based on the use of gold nanoparticles and a catalytic hairpin assembly", 
    "pagination": "4741-4747", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "afe412d947607d606446b3965a44385bb41fefc63b02a2b1da4586cc1d4db051"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00604-017-2516-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1091927927"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00604-017-2516-5", 
      "https://app.dimensions.ai/details/publication/pub.1091927927"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:12", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8697_00000538.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00604-017-2516-5"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00604-017-2516-5'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00604-017-2516-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00604-017-2516-5'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00604-017-2516-5'


 

This table displays all metadata directly associated to this object as RDF triples.

245 TRIPLES      21 PREDICATES      70 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00604-017-2516-5 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author Nf539c459c498452a9ef703e3389a9e76
4 schema:citation sg:pub.10.1007/s00604-015-1482-z
5 sg:pub.10.1007/s00604-016-1967-4
6 sg:pub.10.1007/s00604-017-2134-2
7 sg:pub.10.1007/s00604-017-2250-z
8 https://app.dimensions.ai/details/publication/pub.1077803041
9 https://doi.org/10.1016/j.aca.2006.03.048
10 https://doi.org/10.1016/j.aca.2011.11.003
11 https://doi.org/10.1016/j.bios.2010.03.013
12 https://doi.org/10.1016/j.bios.2010.07.098
13 https://doi.org/10.1016/j.bios.2011.10.043
14 https://doi.org/10.1016/j.bios.2015.02.018
15 https://doi.org/10.1016/j.bios.2015.06.014
16 https://doi.org/10.1016/j.bios.2015.09.065
17 https://doi.org/10.1016/j.jhazmat.2010.07.039
18 https://doi.org/10.1016/j.saa.2014.08.129
19 https://doi.org/10.1016/j.snb.2016.09.034
20 https://doi.org/10.1016/j.talanta.2010.07.076
21 https://doi.org/10.1016/j.talanta.2013.03.055
22 https://doi.org/10.1016/s0039-9140(02)00096-6
23 https://doi.org/10.1021/ac0006627
24 https://doi.org/10.1021/ac2019014
25 https://doi.org/10.1021/ac202993p
26 https://doi.org/10.1021/ac300632u
27 https://doi.org/10.1021/ac303084d
28 https://doi.org/10.1021/ac400228q
29 https://doi.org/10.1021/ac500192r
30 https://doi.org/10.1021/ac9010809
31 https://doi.org/10.1021/acsami.5b02603
32 https://doi.org/10.1021/ar500059c
33 https://doi.org/10.1021/ja0433323
34 https://doi.org/10.1021/ja056354d
35 https://doi.org/10.1021/ja065552h
36 https://doi.org/10.1021/ja076716c
37 https://doi.org/10.1021/la00004a044
38 https://doi.org/10.1039/b719856f
39 https://doi.org/10.1039/b903993g
40 https://doi.org/10.1039/b921191h
41 https://doi.org/10.1039/c1cc14012d
42 https://doi.org/10.1039/c1cs15028f
43 https://doi.org/10.1039/c3cc46716c
44 https://doi.org/10.1039/c6an00762g
45 https://doi.org/10.1073/pnas.1005632107
46 https://doi.org/10.1126/science.275.5303.1102
47 schema:datePublished 2017-12
48 schema:datePublishedReg 2017-12-01
49 schema:description An ultrasensitive method for colorimetric and fluorometric determination of Hg(II) is described. It involves a dual signal detection strategy based on the use of gold nanoparticles (AuNPs) and of a catalytic hairpin self-assembly. Three fluorophore-labeled metastable hairpin DNA probes were adsorbed on AuNPs to quench the fluorescence of the labels. The addition of Hg(II) causes catalytic self-assembly of the hairpins due to formation of T-Hg(II)-T base pairs with the aid of helper DNA to form a branched junction. The branched junction is a dsDNA that is released from the surface of the AuNPs. As a result, fluorescence recovers. Its intensity, best measured at excitation/emission wavelengths of 492/517 nm, increases linearly in the 0.2 to 100 nM of Hg(II) concentration range. The limit of detection is 0.1 nM. This is comparable to, or better than in other amplification based methods. The detection scheme offers both colorimetric (visual) and fluorescent read-out. Graphic abstractThe fluorescence of labelled hairpins adsorbed on AuNPs is quenched in the absence of Hg(II) ions and the AuNPs shows red color with the protection of hairpins. However, Hg(II) ions can induce hairpins to be released by the AuNPs. As a result, fluorescence pops up and a red-blue color change occurs. The fluorescence of labelled hairpins adsorbed on AuNPs is quenched in the absence of Hg(II) ions and the AuNPs shows red color with the protection of hairpins. However, Hg(II) ions can induce hairpins to be released by the AuNPs. As a result, fluorescence pops up and a red-blue color change occurs.
50 schema:genre research_article
51 schema:inLanguage en
52 schema:isAccessibleForFree false
53 schema:isPartOf N08ccb95f178147c38dc172211fca0989
54 Nbbbd6b2b097a46d79780c8de8b6493a5
55 sg:journal.1009468
56 schema:name Ultrasensitive colorimetric and fluorometric detection of Hg(II) based on the use of gold nanoparticles and a catalytic hairpin assembly
57 schema:pagination 4741-4747
58 schema:productId N4dd7d0e8a0f24a3db6e601301e508b9c
59 N9c1d5475db334ee39257aba5ed921522
60 Nb637e2207047401aabb9278047a4455d
61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091927927
62 https://doi.org/10.1007/s00604-017-2516-5
63 schema:sdDatePublished 2019-04-11T01:12
64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
65 schema:sdPublisher N47e2f6e14bfe407ab372bda7aae31cce
66 schema:url https://link.springer.com/10.1007%2Fs00604-017-2516-5
67 sgo:license sg:explorer/license/
68 sgo:sdDataset articles
69 rdf:type schema:ScholarlyArticle
70 N08ccb95f178147c38dc172211fca0989 schema:volumeNumber 184
71 rdf:type schema:PublicationVolume
72 N250083bc63294891a3506f51aa4096f3 rdf:first sg:person.01235361037.38
73 rdf:rest N9a883b0da8f74a1ea4646764777cac18
74 N45a93e7a845845efb697c4f1e91e282a rdf:first sg:person.07363243141.23
75 rdf:rest N499234ca1d1b4c239bb5288f99cdf80e
76 N47e2f6e14bfe407ab372bda7aae31cce schema:name Springer Nature - SN SciGraph project
77 rdf:type schema:Organization
78 N499234ca1d1b4c239bb5288f99cdf80e rdf:first sg:person.011553564541.03
79 rdf:rest N94d550f1a5274448bd0c7a773f029d45
80 N4dd7d0e8a0f24a3db6e601301e508b9c schema:name doi
81 schema:value 10.1007/s00604-017-2516-5
82 rdf:type schema:PropertyValue
83 N94d550f1a5274448bd0c7a773f029d45 rdf:first sg:person.0663275303.58
84 rdf:rest Nc94f2cbedfb448a894a9f7c1488937fc
85 N9a883b0da8f74a1ea4646764777cac18 rdf:first Nc704ab74a3254f8c8e076c1a98cf32de
86 rdf:rest N45a93e7a845845efb697c4f1e91e282a
87 N9c1d5475db334ee39257aba5ed921522 schema:name readcube_id
88 schema:value afe412d947607d606446b3965a44385bb41fefc63b02a2b1da4586cc1d4db051
89 rdf:type schema:PropertyValue
90 Nb637e2207047401aabb9278047a4455d schema:name dimensions_id
91 schema:value pub.1091927927
92 rdf:type schema:PropertyValue
93 Nbbbd6b2b097a46d79780c8de8b6493a5 schema:issueNumber 12
94 rdf:type schema:PublicationIssue
95 Nc704ab74a3254f8c8e076c1a98cf32de schema:affiliation https://www.grid.ac/institutes/grid.495321.8
96 schema:familyName Chen
97 schema:givenName Yilin
98 rdf:type schema:Person
99 Nc94f2cbedfb448a894a9f7c1488937fc rdf:first sg:person.0646377051.43
100 rdf:rest rdf:nil
101 Nf539c459c498452a9ef703e3389a9e76 rdf:first sg:person.016047105423.05
102 rdf:rest N250083bc63294891a3506f51aa4096f3
103 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
104 schema:name Chemical Sciences
105 rdf:type schema:DefinedTerm
106 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
107 schema:name Physical Chemistry (incl. Structural)
108 rdf:type schema:DefinedTerm
109 sg:grant.7202973 http://pending.schema.org/fundedItem sg:pub.10.1007/s00604-017-2516-5
110 rdf:type schema:MonetaryGrant
111 sg:journal.1009468 schema:issn 0026-3672
112 1436-5073
113 schema:name Microchimica Acta
114 rdf:type schema:Periodical
115 sg:person.011553564541.03 schema:affiliation https://www.grid.ac/institutes/grid.411578.e
116 schema:familyName Liu
117 schema:givenName Xingyan
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011553564541.03
119 rdf:type schema:Person
120 sg:person.01235361037.38 schema:affiliation https://www.grid.ac/institutes/grid.411578.e
121 schema:familyName Yun
122 schema:givenName Wen
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01235361037.38
124 rdf:type schema:Person
125 sg:person.016047105423.05 schema:affiliation https://www.grid.ac/institutes/grid.268099.c
126 schema:familyName Yang
127 schema:givenName Lizhu
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016047105423.05
129 rdf:type schema:Person
130 sg:person.0646377051.43 schema:affiliation https://www.grid.ac/institutes/grid.458445.c
131 schema:familyName Huang
132 schema:givenName Yu
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646377051.43
134 rdf:type schema:Person
135 sg:person.0663275303.58 schema:affiliation https://www.grid.ac/institutes/grid.411578.e
136 schema:familyName Fu
137 schema:givenName Min
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663275303.58
139 rdf:type schema:Person
140 sg:person.07363243141.23 schema:affiliation https://www.grid.ac/institutes/grid.411578.e
141 schema:familyName Wu
142 schema:givenName Hong
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07363243141.23
144 rdf:type schema:Person
145 sg:pub.10.1007/s00604-015-1482-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1023872620
146 https://doi.org/10.1007/s00604-015-1482-z
147 rdf:type schema:CreativeWork
148 sg:pub.10.1007/s00604-016-1967-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045180673
149 https://doi.org/10.1007/s00604-016-1967-4
150 rdf:type schema:CreativeWork
151 sg:pub.10.1007/s00604-017-2134-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084022891
152 https://doi.org/10.1007/s00604-017-2134-2
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/s00604-017-2250-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1085447148
155 https://doi.org/10.1007/s00604-017-2250-z
156 rdf:type schema:CreativeWork
157 https://app.dimensions.ai/details/publication/pub.1077803041 schema:CreativeWork
158 https://doi.org/10.1016/j.aca.2006.03.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044279568
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.aca.2011.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012690029
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.bios.2010.03.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037049913
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.bios.2010.07.098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022323323
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.bios.2011.10.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050359430
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.bios.2015.02.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014993212
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.bios.2015.06.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021942699
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.bios.2015.09.065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041498255
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.jhazmat.2010.07.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008099151
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.saa.2014.08.129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015293822
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.snb.2016.09.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010477042
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.talanta.2010.07.076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038476140
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.talanta.2013.03.055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037713614
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/s0039-9140(02)00096-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077803041
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1021/ac0006627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054969702
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1021/ac2019014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055002001
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1021/ac202993p schema:sameAs https://app.dimensions.ai/details/publication/pub.1055002373
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1021/ac300632u schema:sameAs https://app.dimensions.ai/details/publication/pub.1021449840
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1021/ac303084d schema:sameAs https://app.dimensions.ai/details/publication/pub.1055003686
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1021/ac400228q schema:sameAs https://app.dimensions.ai/details/publication/pub.1055004058
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1021/ac500192r schema:sameAs https://app.dimensions.ai/details/publication/pub.1055007456
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1021/ac9010809 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055071395
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1021/acsami.5b02603 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055126932
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1021/ar500059c schema:sameAs https://app.dimensions.ai/details/publication/pub.1012162358
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1021/ja0433323 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001950893
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1021/ja056354d schema:sameAs https://app.dimensions.ai/details/publication/pub.1051586334
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1021/ja065552h schema:sameAs https://app.dimensions.ai/details/publication/pub.1055843060
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1021/ja076716c schema:sameAs https://app.dimensions.ai/details/publication/pub.1055846176
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1021/la00004a044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056136476
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1039/b719856f schema:sameAs https://app.dimensions.ai/details/publication/pub.1040206108
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1039/b903993g schema:sameAs https://app.dimensions.ai/details/publication/pub.1004307640
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1039/b921191h schema:sameAs https://app.dimensions.ai/details/publication/pub.1020889360
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1039/c1cc14012d schema:sameAs https://app.dimensions.ai/details/publication/pub.1039606273
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1039/c1cs15028f schema:sameAs https://app.dimensions.ai/details/publication/pub.1010409957
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1039/c3cc46716c schema:sameAs https://app.dimensions.ai/details/publication/pub.1016470253
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1039/c6an00762g schema:sameAs https://app.dimensions.ai/details/publication/pub.1008667569
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1073/pnas.1005632107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000003397
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1126/science.275.5303.1102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032000189
233 rdf:type schema:CreativeWork
234 https://www.grid.ac/institutes/grid.268099.c schema:alternateName Wenzhou Medical College
235 schema:name School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, Zhejiang, China
236 rdf:type schema:Organization
237 https://www.grid.ac/institutes/grid.411578.e schema:alternateName Chongqing Technology and Business University
238 schema:name Chongqing Key Laboratory of Catalysis and Functional Organic Molecules, College of Environment and Resources, Chongqing Technology and Business University, 400067, Chongqing, China
239 rdf:type schema:Organization
240 https://www.grid.ac/institutes/grid.458445.c schema:alternateName Chongqing Institute of Green and Intelligent Technology
241 schema:name Key Laboratory of Reservoir Aquatic Environment of CAS, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, Chongqing, China
242 rdf:type schema:Organization
243 https://www.grid.ac/institutes/grid.495321.8 schema:alternateName Chongqing Metrology Quality Inspection and Research Institute
244 schema:name Chongqing Academy of Metrology and Quality Inspection, 401123, Chongqing, China
245 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...