Volume discrimination of nanoparticles via electrical trapping using nanopores View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Akihide Arima, Makusu Tsutsui, Masateru Taniguchi

ABSTRACT

Electrophoretic capture of an oversized object on a solid-state nanopore is a useful approach for single-particle analyses via post electrical and optical measurements. Here we report on nanoparticle discriminations by the volume through combining this nanopore trap method with the cross-membrane ionic current measurements. We investigated ion transport through a pore channel being partially occluded by an electrophoretically-drawn nanoparticle at the orifice. We found distinct difference in the amount of current blockage by particles of different sizes. Multiphysics simulations revealed dominant contribution of particle volume over the other properties. We also demonstrated single-particle discriminations of two different sizes in a mixture solution. The present results demonstrate that this electrical capturing is a promising technique to immobilize a target at a single particle level that concomitantly offer wealth of information concerning their volume. More... »

PAGES

40

Journal

TITLE

Journal of Nanobiotechnology

ISSUE

1

VOLUME

17

Author Affiliations

From Grant

  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12951-019-0471-5

    DOI

    http://dx.doi.org/10.1186/s12951-019-0471-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112765863

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30871539


    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": "Osaka University", 
              "id": "https://www.grid.ac/institutes/grid.136593.b", 
              "name": [
                "The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, 567-0047, Ibaraki, Osaka, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Arima", 
            "givenName": "Akihide", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Osaka University", 
              "id": "https://www.grid.ac/institutes/grid.136593.b", 
              "name": [
                "The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, 567-0047, Ibaraki, Osaka, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tsutsui", 
            "givenName": "Makusu", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Osaka University", 
              "id": "https://www.grid.ac/institutes/grid.136593.b", 
              "name": [
                "The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, 567-0047, Ibaraki, Osaka, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Taniguchi", 
            "givenName": "Masateru", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/nnano.2009.48", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004901075", 
              "https://doi.org/10.1038/nnano.2009.48"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nnano.2009.48", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004901075", 
              "https://doi.org/10.1038/nnano.2009.48"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1039/b813796j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005776619"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1039/b813796j", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005776619"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nnano.2009.12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006588299", 
              "https://doi.org/10.1038/nnano.2009.12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nnano.2010.42", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008050084", 
              "https://doi.org/10.1038/nnano.2010.42"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nnano.2010.42", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008050084", 
              "https://doi.org/10.1038/nnano.2010.42"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1039/c2cs35286a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008476698"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.278.5336.252", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009663792"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1085/jgp.66.4.531", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011324085"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/nl052107w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012253571"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/nl052107w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012253571"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1039/c4ra00933a", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015530122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/nn300530b", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016692253"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.4967214", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019478273"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nnano.2011.129", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021183450", 
              "https://doi.org/10.1038/nnano.2011.129"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0611085104", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023619308"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1088/0957-4484/22/31/315101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028867644"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.2358705", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031169081"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nnano.2016.267", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031235323", 
              "https://doi.org/10.1038/nnano.2016.267"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nnano.2010.202", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040334965", 
              "https://doi.org/10.1038/nnano.2010.202"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nnano.2010.202", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040334965", 
              "https://doi.org/10.1038/nnano.2010.202"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.4873681", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042090049"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1146/annurev-anchem-071213-020107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049065284"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1100977108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050074756"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1088/0957-4484/20/18/185101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050187149"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1088/0957-4484/20/18/185101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050187149"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1002194107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052252626"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jp310513v", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056092364"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/nn303126n", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056224653"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.4813084", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058078721"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1088/1361-6528/aa5e66", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084172716"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-17443-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099597347", 
              "https://doi.org/10.1038/s41598-017-17443-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/acs.analchem.7b04950", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100469985"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-12", 
        "datePublishedReg": "2019-12-01", 
        "description": "Electrophoretic capture of an oversized object on a solid-state nanopore is a useful approach for single-particle analyses via post electrical and optical measurements. Here we report on nanoparticle discriminations by the volume through combining this nanopore trap method with the cross-membrane ionic current measurements. We investigated ion transport through a pore channel being partially occluded by an electrophoretically-drawn nanoparticle at the orifice. We found distinct difference in the amount of current blockage by particles of different sizes. Multiphysics simulations revealed dominant contribution of particle volume over the other properties. We also demonstrated single-particle discriminations of two different sizes in a mixture solution. The present results demonstrate that this electrical capturing is a promising technique to immobilize a target at a single particle level that concomitantly offer wealth of information concerning their volume.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/s12951-019-0471-5", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.5860386", 
            "type": "MonetaryGrant"
          }, 
          {
            "id": "sg:grant.6839520", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1031280", 
            "issn": [
              "1477-3155"
            ], 
            "name": "Journal of Nanobiotechnology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "17"
          }
        ], 
        "name": "Volume discrimination of nanoparticles via electrical trapping using nanopores", 
        "pagination": "40", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "b32f0beecf6dabdb54987896fc4e7b8a51bcbaa48301fc042d61b35fc2cb3514"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30871539"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101152208"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s12951-019-0471-5"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112765863"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s12951-019-0471-5", 
          "https://app.dimensions.ai/details/publication/pub.1112765863"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:18", 
        "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/v90/0000000368_0000000368/records_78938_00000001.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1186%2Fs12951-019-0471-5"
      }
    ]
     

    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.10.1186/s12951-019-0471-5'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12951-019-0471-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12951-019-0471-5'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12951-019-0471-5'


     

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

    174 TRIPLES      21 PREDICATES      57 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s12951-019-0471-5 schema:about anzsrc-for:03
    2 anzsrc-for:0306
    3 schema:author N6de5b6f6d2844ec69caa1f1eb929c968
    4 schema:citation sg:pub.10.1038/nnano.2009.12
    5 sg:pub.10.1038/nnano.2009.48
    6 sg:pub.10.1038/nnano.2010.202
    7 sg:pub.10.1038/nnano.2010.42
    8 sg:pub.10.1038/nnano.2011.129
    9 sg:pub.10.1038/nnano.2016.267
    10 sg:pub.10.1038/s41598-017-17443-6
    11 https://doi.org/10.1021/acs.analchem.7b04950
    12 https://doi.org/10.1021/jp310513v
    13 https://doi.org/10.1021/nl052107w
    14 https://doi.org/10.1021/nn300530b
    15 https://doi.org/10.1021/nn303126n
    16 https://doi.org/10.1039/b813796j
    17 https://doi.org/10.1039/c2cs35286a
    18 https://doi.org/10.1039/c4ra00933a
    19 https://doi.org/10.1063/1.2358705
    20 https://doi.org/10.1063/1.4813084
    21 https://doi.org/10.1063/1.4873681
    22 https://doi.org/10.1063/1.4967214
    23 https://doi.org/10.1073/pnas.0611085104
    24 https://doi.org/10.1073/pnas.1002194107
    25 https://doi.org/10.1073/pnas.1100977108
    26 https://doi.org/10.1085/jgp.66.4.531
    27 https://doi.org/10.1088/0957-4484/20/18/185101
    28 https://doi.org/10.1088/0957-4484/22/31/315101
    29 https://doi.org/10.1088/1361-6528/aa5e66
    30 https://doi.org/10.1126/science.278.5336.252
    31 https://doi.org/10.1146/annurev-anchem-071213-020107
    32 schema:datePublished 2019-12
    33 schema:datePublishedReg 2019-12-01
    34 schema:description Electrophoretic capture of an oversized object on a solid-state nanopore is a useful approach for single-particle analyses via post electrical and optical measurements. Here we report on nanoparticle discriminations by the volume through combining this nanopore trap method with the cross-membrane ionic current measurements. We investigated ion transport through a pore channel being partially occluded by an electrophoretically-drawn nanoparticle at the orifice. We found distinct difference in the amount of current blockage by particles of different sizes. Multiphysics simulations revealed dominant contribution of particle volume over the other properties. We also demonstrated single-particle discriminations of two different sizes in a mixture solution. The present results demonstrate that this electrical capturing is a promising technique to immobilize a target at a single particle level that concomitantly offer wealth of information concerning their volume.
    35 schema:genre research_article
    36 schema:inLanguage en
    37 schema:isAccessibleForFree true
    38 schema:isPartOf N616be2a434394f41ac15d18be53b3786
    39 Ne48ebb1cce2547229b73869c653bd98c
    40 sg:journal.1031280
    41 schema:name Volume discrimination of nanoparticles via electrical trapping using nanopores
    42 schema:pagination 40
    43 schema:productId N55b840f75d7647f5aede05cc0174aa43
    44 N6605f9df5037413d8c1b6fc91c1d24a6
    45 Na9c5e46d11ad4fa4b6548e685ba6a43d
    46 Nce0d6e401fc04342a797b46d0bfb2577
    47 Ndad303e433a048f5b1bed40d859babd8
    48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112765863
    49 https://doi.org/10.1186/s12951-019-0471-5
    50 schema:sdDatePublished 2019-04-11T13:18
    51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    52 schema:sdPublisher N50465d77df624156a8e09bb3d1479c78
    53 schema:url https://link.springer.com/10.1186%2Fs12951-019-0471-5
    54 sgo:license sg:explorer/license/
    55 sgo:sdDataset articles
    56 rdf:type schema:ScholarlyArticle
    57 N35787065df6e4f3c9a11c1b902f1d4e8 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
    58 schema:familyName Tsutsui
    59 schema:givenName Makusu
    60 rdf:type schema:Person
    61 N3ff79c0cbdb54886a8f29b9f5ff1bb38 rdf:first Ne42b8e135eb14e3a838b22979f0187e7
    62 rdf:rest rdf:nil
    63 N50465d77df624156a8e09bb3d1479c78 schema:name Springer Nature - SN SciGraph project
    64 rdf:type schema:Organization
    65 N55b840f75d7647f5aede05cc0174aa43 schema:name dimensions_id
    66 schema:value pub.1112765863
    67 rdf:type schema:PropertyValue
    68 N57773edf275c4f9293168138be937456 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
    69 schema:familyName Arima
    70 schema:givenName Akihide
    71 rdf:type schema:Person
    72 N616be2a434394f41ac15d18be53b3786 schema:volumeNumber 17
    73 rdf:type schema:PublicationVolume
    74 N6605f9df5037413d8c1b6fc91c1d24a6 schema:name doi
    75 schema:value 10.1186/s12951-019-0471-5
    76 rdf:type schema:PropertyValue
    77 N6de5b6f6d2844ec69caa1f1eb929c968 rdf:first N57773edf275c4f9293168138be937456
    78 rdf:rest Nef7c8c404f0f467cb73fc7b04a2abb99
    79 Na9c5e46d11ad4fa4b6548e685ba6a43d schema:name nlm_unique_id
    80 schema:value 101152208
    81 rdf:type schema:PropertyValue
    82 Nce0d6e401fc04342a797b46d0bfb2577 schema:name pubmed_id
    83 schema:value 30871539
    84 rdf:type schema:PropertyValue
    85 Ndad303e433a048f5b1bed40d859babd8 schema:name readcube_id
    86 schema:value b32f0beecf6dabdb54987896fc4e7b8a51bcbaa48301fc042d61b35fc2cb3514
    87 rdf:type schema:PropertyValue
    88 Ne42b8e135eb14e3a838b22979f0187e7 schema:affiliation https://www.grid.ac/institutes/grid.136593.b
    89 schema:familyName Taniguchi
    90 schema:givenName Masateru
    91 rdf:type schema:Person
    92 Ne48ebb1cce2547229b73869c653bd98c schema:issueNumber 1
    93 rdf:type schema:PublicationIssue
    94 Nef7c8c404f0f467cb73fc7b04a2abb99 rdf:first N35787065df6e4f3c9a11c1b902f1d4e8
    95 rdf:rest N3ff79c0cbdb54886a8f29b9f5ff1bb38
    96 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
    97 schema:name Chemical Sciences
    98 rdf:type schema:DefinedTerm
    99 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
    100 schema:name Physical Chemistry (incl. Structural)
    101 rdf:type schema:DefinedTerm
    102 sg:grant.5860386 http://pending.schema.org/fundedItem sg:pub.10.1186/s12951-019-0471-5
    103 rdf:type schema:MonetaryGrant
    104 sg:grant.6839520 http://pending.schema.org/fundedItem sg:pub.10.1186/s12951-019-0471-5
    105 rdf:type schema:MonetaryGrant
    106 sg:journal.1031280 schema:issn 1477-3155
    107 schema:name Journal of Nanobiotechnology
    108 rdf:type schema:Periodical
    109 sg:pub.10.1038/nnano.2009.12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006588299
    110 https://doi.org/10.1038/nnano.2009.12
    111 rdf:type schema:CreativeWork
    112 sg:pub.10.1038/nnano.2009.48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004901075
    113 https://doi.org/10.1038/nnano.2009.48
    114 rdf:type schema:CreativeWork
    115 sg:pub.10.1038/nnano.2010.202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040334965
    116 https://doi.org/10.1038/nnano.2010.202
    117 rdf:type schema:CreativeWork
    118 sg:pub.10.1038/nnano.2010.42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008050084
    119 https://doi.org/10.1038/nnano.2010.42
    120 rdf:type schema:CreativeWork
    121 sg:pub.10.1038/nnano.2011.129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021183450
    122 https://doi.org/10.1038/nnano.2011.129
    123 rdf:type schema:CreativeWork
    124 sg:pub.10.1038/nnano.2016.267 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031235323
    125 https://doi.org/10.1038/nnano.2016.267
    126 rdf:type schema:CreativeWork
    127 sg:pub.10.1038/s41598-017-17443-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099597347
    128 https://doi.org/10.1038/s41598-017-17443-6
    129 rdf:type schema:CreativeWork
    130 https://doi.org/10.1021/acs.analchem.7b04950 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100469985
    131 rdf:type schema:CreativeWork
    132 https://doi.org/10.1021/jp310513v schema:sameAs https://app.dimensions.ai/details/publication/pub.1056092364
    133 rdf:type schema:CreativeWork
    134 https://doi.org/10.1021/nl052107w schema:sameAs https://app.dimensions.ai/details/publication/pub.1012253571
    135 rdf:type schema:CreativeWork
    136 https://doi.org/10.1021/nn300530b schema:sameAs https://app.dimensions.ai/details/publication/pub.1016692253
    137 rdf:type schema:CreativeWork
    138 https://doi.org/10.1021/nn303126n schema:sameAs https://app.dimensions.ai/details/publication/pub.1056224653
    139 rdf:type schema:CreativeWork
    140 https://doi.org/10.1039/b813796j schema:sameAs https://app.dimensions.ai/details/publication/pub.1005776619
    141 rdf:type schema:CreativeWork
    142 https://doi.org/10.1039/c2cs35286a schema:sameAs https://app.dimensions.ai/details/publication/pub.1008476698
    143 rdf:type schema:CreativeWork
    144 https://doi.org/10.1039/c4ra00933a schema:sameAs https://app.dimensions.ai/details/publication/pub.1015530122
    145 rdf:type schema:CreativeWork
    146 https://doi.org/10.1063/1.2358705 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031169081
    147 rdf:type schema:CreativeWork
    148 https://doi.org/10.1063/1.4813084 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058078721
    149 rdf:type schema:CreativeWork
    150 https://doi.org/10.1063/1.4873681 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042090049
    151 rdf:type schema:CreativeWork
    152 https://doi.org/10.1063/1.4967214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019478273
    153 rdf:type schema:CreativeWork
    154 https://doi.org/10.1073/pnas.0611085104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023619308
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1073/pnas.1002194107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052252626
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.1073/pnas.1100977108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050074756
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1085/jgp.66.4.531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011324085
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1088/0957-4484/20/18/185101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050187149
    163 rdf:type schema:CreativeWork
    164 https://doi.org/10.1088/0957-4484/22/31/315101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028867644
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1088/1361-6528/aa5e66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084172716
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1126/science.278.5336.252 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009663792
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1146/annurev-anchem-071213-020107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049065284
    171 rdf:type schema:CreativeWork
    172 https://www.grid.ac/institutes/grid.136593.b schema:alternateName Osaka University
    173 schema:name The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, 567-0047, Ibaraki, Osaka, Japan
    174 rdf:type schema:Organization
     




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


    ...