A particle-based microfluidic molecular separation integrating surface-enhanced Raman scattering sensing for purine derivatives analysis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Yi-Ying Wang, Ho-Wen Cheng, Kai-Wei Chang, Jessie Shiue, Juen-Kai Wang, Yuh-Lin Wang, Nien-Tsu Huang

ABSTRACT

Based on its highly specific and non-invasive features, surface-enhanced Raman scattering (SERS) has been applied for analytical chemistry or biological applications, such as identification of chemical compositions, cells or bacteria. However, if the targeted sample consists of multiple compounds, the corresponded SERS spectra would be quite difficult to analyze. To address above problems, we developed a particle-based microfluidic molecular separation (PMMS) integrating SERS substrate to separate complicate molecule mixture followed by in situ SERS detection. The platform consists of an automatic microfluidic control system to precisely control the sample and reagent flow in the PMMS–SERS device, composed of a 5-µm particle-packed separation column followed by a two-dimensional Ag nanostructural substrate. To proof-of-concept, we first tested the molecule separation functionality using the mixture of fluorescent FITC and R6G dyes. Later, we introduced the hypoxanthine and adenine mixture—main purine metabolites of E. coli—into the system for on-chip separation, identification, and quantification based on acquired SERS signatures. Overall, the miniaturized PMMS–SERS system enables an easy-to-use and sensitive analyte detection, which could be beneficial in applications requiring bacteria identification and quantification, such as environmental monitoring, AST, and drug development. More... »

PAGES

48

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10404-019-2216-z

DOI

http://dx.doi.org/10.1007/s10404-019-2216-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112519712


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/2008/0301", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Analytical Chemistry", 
        "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": "National Taiwan University", 
          "id": "https://www.grid.ac/institutes/grid.19188.39", 
          "name": [
            "Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Yi-Ying", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Atomic and Molecular Sciences, Academia Sinica", 
          "id": "https://www.grid.ac/institutes/grid.482254.d", 
          "name": [
            "Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cheng", 
        "givenName": "Ho-Wen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Taiwan University", 
          "id": "https://www.grid.ac/institutes/grid.19188.39", 
          "name": [
            "Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chang", 
        "givenName": "Kai-Wei", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Physics, Academia Sinica", 
          "id": "https://www.grid.ac/institutes/grid.482252.b", 
          "name": [
            "Institute of Physics, Academia Sinica, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shiue", 
        "givenName": "Jessie", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Taiwan University", 
          "id": "https://www.grid.ac/institutes/grid.19188.39", 
          "name": [
            "Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei, Taiwan", 
            "Center for Condensed Matter Sciences, National Taiwan University, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Juen-Kai", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Taiwan University", 
          "id": "https://www.grid.ac/institutes/grid.19188.39", 
          "name": [
            "Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei, Taiwan", 
            "Department of Physics, National Taiwan University, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Yuh-Lin", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Taiwan University", 
          "id": "https://www.grid.ac/institutes/grid.19188.39", 
          "name": [
            "Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan", 
            "Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huang", 
        "givenName": "Nien-Tsu", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1021/ac400982w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002385732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b919584j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003039976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/b919584j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003039976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.trac.2015.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003536851"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/elps.200700554", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012622344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature08907", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013655144", 
          "https://doi.org/10.1038/nature08907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature08907", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013655144", 
          "https://doi.org/10.1038/nature08907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/elps.201600319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014090833"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep23375", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014137515", 
          "https://doi.org/10.1038/srep23375"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00216-016-9540-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014988183", 
          "https://doi.org/10.1007/s00216-016-9540-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adom.201400534", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016242822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/elps.201100309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021526061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2013.06.065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025675229"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c4ra01393j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026775664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2an16239c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029182996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.275.5303.1102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032000189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-016-2012-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037132209", 
          "https://doi.org/10.1007/s00604-016-2012-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00604-016-2012-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037132209", 
          "https://doi.org/10.1007/s00604-016-2012-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jrs.1770", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037239239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms1546", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037659231", 
          "https://doi.org/10.1038/ncomms1546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2lc40509a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037681459"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.microc.2014.01.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042079739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2009.09.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043142321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c6an00155f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044728970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c2lc40221a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046327493"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c4an00357h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046421741"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1159499", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050535123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00005a010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054965430"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac201821q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055001974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac201821q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055001974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac303153a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055003713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac5029159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055019692"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.analchem.6b01273", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055079902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3429605", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057950624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/elps.201700046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085198838"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.analchem.7b00916", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085467286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.analchem.7b00916", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085467286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aca.2018.01.064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100856838"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04", 
    "datePublishedReg": "2019-04-01", 
    "description": "Based on its highly specific and non-invasive features, surface-enhanced Raman scattering (SERS) has been applied for analytical chemistry or biological applications, such as identification of chemical compositions, cells or bacteria. However, if the targeted sample consists of multiple compounds, the corresponded SERS spectra would be quite difficult to analyze. To address above problems, we developed a particle-based microfluidic molecular separation (PMMS) integrating SERS substrate to separate complicate molecule mixture followed by in situ SERS detection. The platform consists of an automatic microfluidic control system to precisely control the sample and reagent flow in the PMMS\u2013SERS device, composed of a 5-\u00b5m particle-packed separation column followed by a two-dimensional Ag nanostructural substrate. To proof-of-concept, we first tested the molecule separation functionality using the mixture of fluorescent FITC and R6G dyes. Later, we introduced the hypoxanthine and adenine mixture\u2014main purine metabolites of E. coli\u2014into the system for on-chip separation, identification, and quantification based on acquired SERS signatures. Overall, the miniaturized PMMS\u2013SERS system enables an easy-to-use and sensitive analyte detection, which could be beneficial in applications requiring bacteria identification and quantification, such as environmental monitoring, AST, and drug development.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10404-019-2216-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1040365", 
        "issn": [
          "1613-4982", 
          "1613-4990"
        ], 
        "name": "Microfluidics and Nanofluidics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "23"
      }
    ], 
    "name": "A particle-based microfluidic molecular separation integrating surface-enhanced Raman scattering sensing for purine derivatives analysis", 
    "pagination": "48", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10404-019-2216-z"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "820598667a076cc31b5ad3203e751e4fb0a2a0d2f193b8f78341c953720fcbcf"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112519712"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10404-019-2216-z", 
      "https://app.dimensions.ai/details/publication/pub.1112519712"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T09:10", 
    "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/v90/0000000376_0000000376/records_56155_00000006.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10404-019-2216-z"
  }
]
 

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/s10404-019-2216-z'

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/s10404-019-2216-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10404-019-2216-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10404-019-2216-z'


 

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

210 TRIPLES      21 PREDICATES      60 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10404-019-2216-z schema:about anzsrc-for:03
2 anzsrc-for:0301
3 schema:author N7a1a85c4b2ea485299b6241061cf1933
4 schema:citation sg:pub.10.1007/s00216-016-9540-x
5 sg:pub.10.1007/s00604-016-2012-3
6 sg:pub.10.1038/nature08907
7 sg:pub.10.1038/ncomms1546
8 sg:pub.10.1038/srep23375
9 https://doi.org/10.1002/adom.201400534
10 https://doi.org/10.1002/elps.200700554
11 https://doi.org/10.1002/elps.201100309
12 https://doi.org/10.1002/elps.201600319
13 https://doi.org/10.1002/elps.201700046
14 https://doi.org/10.1002/jrs.1770
15 https://doi.org/10.1016/j.aca.2018.01.064
16 https://doi.org/10.1016/j.cej.2009.09.013
17 https://doi.org/10.1016/j.chroma.2013.06.065
18 https://doi.org/10.1016/j.microc.2014.01.008
19 https://doi.org/10.1016/j.trac.2015.08.002
20 https://doi.org/10.1021/ac00005a010
21 https://doi.org/10.1021/ac201821q
22 https://doi.org/10.1021/ac303153a
23 https://doi.org/10.1021/ac400982w
24 https://doi.org/10.1021/ac5029159
25 https://doi.org/10.1021/acs.analchem.6b01273
26 https://doi.org/10.1021/acs.analchem.7b00916
27 https://doi.org/10.1039/b919584j
28 https://doi.org/10.1039/c2an16239c
29 https://doi.org/10.1039/c2lc40221a
30 https://doi.org/10.1039/c2lc40509a
31 https://doi.org/10.1039/c4an00357h
32 https://doi.org/10.1039/c4ra01393j
33 https://doi.org/10.1039/c6an00155f
34 https://doi.org/10.1063/1.3429605
35 https://doi.org/10.1126/science.1159499
36 https://doi.org/10.1126/science.275.5303.1102
37 schema:datePublished 2019-04
38 schema:datePublishedReg 2019-04-01
39 schema:description Based on its highly specific and non-invasive features, surface-enhanced Raman scattering (SERS) has been applied for analytical chemistry or biological applications, such as identification of chemical compositions, cells or bacteria. However, if the targeted sample consists of multiple compounds, the corresponded SERS spectra would be quite difficult to analyze. To address above problems, we developed a particle-based microfluidic molecular separation (PMMS) integrating SERS substrate to separate complicate molecule mixture followed by in situ SERS detection. The platform consists of an automatic microfluidic control system to precisely control the sample and reagent flow in the PMMS–SERS device, composed of a 5-µm particle-packed separation column followed by a two-dimensional Ag nanostructural substrate. To proof-of-concept, we first tested the molecule separation functionality using the mixture of fluorescent FITC and R6G dyes. Later, we introduced the hypoxanthine and adenine mixture—main purine metabolites of E. coli—into the system for on-chip separation, identification, and quantification based on acquired SERS signatures. Overall, the miniaturized PMMS–SERS system enables an easy-to-use and sensitive analyte detection, which could be beneficial in applications requiring bacteria identification and quantification, such as environmental monitoring, AST, and drug development.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree false
43 schema:isPartOf N9dfcb1df21314e38ab5fd189847bea74
44 Nbcb2747895fe401b8c973b9ccf5ea929
45 sg:journal.1040365
46 schema:name A particle-based microfluidic molecular separation integrating surface-enhanced Raman scattering sensing for purine derivatives analysis
47 schema:pagination 48
48 schema:productId N336a7026be8a446daaeb3071176b2b93
49 Nbd01c87426fd443ebc25e7a4c6009f92
50 Nf677bc153554479aaf13a6b81ff8f978
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112519712
52 https://doi.org/10.1007/s10404-019-2216-z
53 schema:sdDatePublished 2019-04-15T09:10
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N65406f5361ba435ea4d04a4c232aa796
56 schema:url https://link.springer.com/10.1007%2Fs10404-019-2216-z
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N08febcae29e542ed8aafc40447d62e6b rdf:first N5bc06c08b7c84f179afc5a65c8c82e06
61 rdf:rest Nd78fc26cd4054748841647543f296729
62 N09cf86b797684833abda70834440e380 schema:affiliation https://www.grid.ac/institutes/grid.19188.39
63 schema:familyName Wang
64 schema:givenName Yuh-Lin
65 rdf:type schema:Person
66 N2384a2efd3c54bb1aac9d58407248c23 schema:affiliation https://www.grid.ac/institutes/grid.19188.39
67 schema:familyName Chang
68 schema:givenName Kai-Wei
69 rdf:type schema:Person
70 N336a7026be8a446daaeb3071176b2b93 schema:name doi
71 schema:value 10.1007/s10404-019-2216-z
72 rdf:type schema:PropertyValue
73 N5bc06c08b7c84f179afc5a65c8c82e06 schema:affiliation https://www.grid.ac/institutes/grid.19188.39
74 schema:familyName Wang
75 schema:givenName Juen-Kai
76 rdf:type schema:Person
77 N635e4ebc77604e18bb3d48b1397fc3d3 schema:affiliation https://www.grid.ac/institutes/grid.482254.d
78 schema:familyName Cheng
79 schema:givenName Ho-Wen
80 rdf:type schema:Person
81 N645b9e6e912b4db8863311e16ff585f0 rdf:first N635e4ebc77604e18bb3d48b1397fc3d3
82 rdf:rest Ne4f22814c785405e8975e82a2c2e0b6d
83 N65406f5361ba435ea4d04a4c232aa796 schema:name Springer Nature - SN SciGraph project
84 rdf:type schema:Organization
85 N7a1a85c4b2ea485299b6241061cf1933 rdf:first Nd7b9f98f0c2545789b460f52be5aa35e
86 rdf:rest N645b9e6e912b4db8863311e16ff585f0
87 N9dfcb1df21314e38ab5fd189847bea74 schema:issueNumber 4
88 rdf:type schema:PublicationIssue
89 Na379c35e35f44b8eba9286a3353563a6 rdf:first Ncdd9fc3f64c44bb8b677a23295f75b05
90 rdf:rest rdf:nil
91 Nbcb2747895fe401b8c973b9ccf5ea929 schema:volumeNumber 23
92 rdf:type schema:PublicationVolume
93 Nbd01c87426fd443ebc25e7a4c6009f92 schema:name readcube_id
94 schema:value 820598667a076cc31b5ad3203e751e4fb0a2a0d2f193b8f78341c953720fcbcf
95 rdf:type schema:PropertyValue
96 Ncdd9fc3f64c44bb8b677a23295f75b05 schema:affiliation https://www.grid.ac/institutes/grid.19188.39
97 schema:familyName Huang
98 schema:givenName Nien-Tsu
99 rdf:type schema:Person
100 Nd78fc26cd4054748841647543f296729 rdf:first N09cf86b797684833abda70834440e380
101 rdf:rest Na379c35e35f44b8eba9286a3353563a6
102 Nd7b9f98f0c2545789b460f52be5aa35e schema:affiliation https://www.grid.ac/institutes/grid.19188.39
103 schema:familyName Wang
104 schema:givenName Yi-Ying
105 rdf:type schema:Person
106 Ne12c440a9417424481a57871685beea2 schema:affiliation https://www.grid.ac/institutes/grid.482252.b
107 schema:familyName Shiue
108 schema:givenName Jessie
109 rdf:type schema:Person
110 Ne4f22814c785405e8975e82a2c2e0b6d rdf:first N2384a2efd3c54bb1aac9d58407248c23
111 rdf:rest Nfbd5699cf2534954afd650c8f028a2d4
112 Nf677bc153554479aaf13a6b81ff8f978 schema:name dimensions_id
113 schema:value pub.1112519712
114 rdf:type schema:PropertyValue
115 Nfbd5699cf2534954afd650c8f028a2d4 rdf:first Ne12c440a9417424481a57871685beea2
116 rdf:rest N08febcae29e542ed8aafc40447d62e6b
117 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
118 schema:name Chemical Sciences
119 rdf:type schema:DefinedTerm
120 anzsrc-for:0301 schema:inDefinedTermSet anzsrc-for:
121 schema:name Analytical Chemistry
122 rdf:type schema:DefinedTerm
123 sg:journal.1040365 schema:issn 1613-4982
124 1613-4990
125 schema:name Microfluidics and Nanofluidics
126 rdf:type schema:Periodical
127 sg:pub.10.1007/s00216-016-9540-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014988183
128 https://doi.org/10.1007/s00216-016-9540-x
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/s00604-016-2012-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037132209
131 https://doi.org/10.1007/s00604-016-2012-3
132 rdf:type schema:CreativeWork
133 sg:pub.10.1038/nature08907 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013655144
134 https://doi.org/10.1038/nature08907
135 rdf:type schema:CreativeWork
136 sg:pub.10.1038/ncomms1546 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037659231
137 https://doi.org/10.1038/ncomms1546
138 rdf:type schema:CreativeWork
139 sg:pub.10.1038/srep23375 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014137515
140 https://doi.org/10.1038/srep23375
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1002/adom.201400534 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016242822
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1002/elps.200700554 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012622344
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1002/elps.201100309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021526061
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1002/elps.201600319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014090833
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1002/elps.201700046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085198838
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1002/jrs.1770 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037239239
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.aca.2018.01.064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100856838
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.cej.2009.09.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043142321
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.chroma.2013.06.065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025675229
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.microc.2014.01.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042079739
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.trac.2015.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003536851
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1021/ac00005a010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054965430
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1021/ac201821q schema:sameAs https://app.dimensions.ai/details/publication/pub.1055001974
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1021/ac303153a schema:sameAs https://app.dimensions.ai/details/publication/pub.1055003713
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1021/ac400982w schema:sameAs https://app.dimensions.ai/details/publication/pub.1002385732
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1021/ac5029159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055019692
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1021/acs.analchem.6b01273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055079902
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1021/acs.analchem.7b00916 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085467286
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1039/b919584j schema:sameAs https://app.dimensions.ai/details/publication/pub.1003039976
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1039/c2an16239c schema:sameAs https://app.dimensions.ai/details/publication/pub.1029182996
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1039/c2lc40221a schema:sameAs https://app.dimensions.ai/details/publication/pub.1046327493
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1039/c2lc40509a schema:sameAs https://app.dimensions.ai/details/publication/pub.1037681459
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1039/c4an00357h schema:sameAs https://app.dimensions.ai/details/publication/pub.1046421741
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1039/c4ra01393j schema:sameAs https://app.dimensions.ai/details/publication/pub.1026775664
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1039/c6an00155f schema:sameAs https://app.dimensions.ai/details/publication/pub.1044728970
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1063/1.3429605 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057950624
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1126/science.1159499 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050535123
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1126/science.275.5303.1102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032000189
197 rdf:type schema:CreativeWork
198 https://www.grid.ac/institutes/grid.19188.39 schema:alternateName National Taiwan University
199 schema:name Center for Condensed Matter Sciences, National Taiwan University, Taipei, Taiwan
200 Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan
201 Department of Physics, National Taiwan University, Taipei, Taiwan
202 Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan
203 Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei, Taiwan
204 rdf:type schema:Organization
205 https://www.grid.ac/institutes/grid.482252.b schema:alternateName Institute of Physics, Academia Sinica
206 schema:name Institute of Physics, Academia Sinica, Taipei, Taiwan
207 rdf:type schema:Organization
208 https://www.grid.ac/institutes/grid.482254.d schema:alternateName Institute of Atomic and Molecular Sciences, Academia Sinica
209 schema:name Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei, Taiwan
210 rdf:type schema:Organization
 




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


...