Random and aligned electrospun PLGA nanofibers embedded in microfluidic chips for cancer cell isolation and integration with air foam technology ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Chia-Cheng Yu, Yi-Wen Chen, Po-Ying Yeh, Yu-Sheng Hsiao, Wei-Ting Lin, Chiung-Wen Kuo, Di-Yen Chueh, Yun-Wen You, Jing-Jong Shyue, Ying-Chih Chang, Peilin Chen

ABSTRACT

BACKGROUND: Circulating tumor cells (CTCs) comprise the high metastatic potential population of cancer cells in the blood circulation of humans; they have become the established biomarkers for cancer diagnosis, individualized cancer therapy, and cancer development. Technologies for the isolation and recovery of CTCs can be powerful cancer diagnostic tools for liquid biopsies, allowing the identification of malignancies and guiding cancer treatments for precision medicine. METHODS: We have used an electrospinning process to prepare poly(lactic-co-glycolic acid) (PLGA) nanofibrous arrays in random or aligned orientations on glass slips. We then fabricated poly(methyl methacrylate) (PMMA)-based microfluidic chips embedding the PLGA nanofiber arrays and modified their surfaces through sequential coating with using biotin-(PEG)7-amine through EDC/NHS activation, streptavidin (SA), and biotinylated epithelial-cell adhesion-molecule antibody (biotin-anti-EpCAM) to achieve highly efficient CTC capture. When combined with an air foam technology that induced a high shear stress and, thereby, nondestructive release of the captured cells from the PLGA surfaces, the proposed device system operated with a high cell recovery rate. RESULTS: The morphologies and average diameters of the electrospun PLGA nanofibers were characterized using scanning electron microscopy (SEM) and confocal Raman imaging. The surface chemistry of the PLGA nanofibers conjugated with the biotin-(PEG)7-amine was confirmed through time-of-flight secondary ion mass spectrometry (ToF-SIMS) imaging. The chip system was studied for the effects of the surface modification density of biotin-(PEG)7-amine, the flow rates, and the diameters of the PLGA nanofibers on the capture efficiency of EpCAM-positive HCT116 cells from the spiked liquid samples. To assess their CTC capture efficiencies in whole blood samples, the aligned and random PLGA nanofiber arrays were tested for their abilities to capture HCT116 cells, providing cancer cell capture efficiencies of 66 and 80%, respectively. With the continuous injection of air foam into the microfluidic devices, the cell release efficiency on the aligned PLGA fibers was 74% (recovery rate: 49%), while it was 90% (recovery rate: 73%) on the random PLGA fibers, from tests of 200 spiked cells in 2 mL of whole blood from healthy individuals. Our study suggests that integrated PMMA microfluidic chips embedding random PLGA nanofiber arrays may be suitable devices for the efficient capture and recovery of CTCs from whole blood samples. More... »

PAGES

31

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12951-019-0466-2

DOI

http://dx.doi.org/10.1186/s12951-019-0466-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112224148

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30782169


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/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Academia Sinica", 
          "id": "https://www.grid.ac/institutes/grid.28665.3f", 
          "name": [
            "Department of Materials Engineering, Ming Chi University of Technology, Taishan, 24301, New Taipei City, Taiwan", 
            "Research Center for Applied Sciences, Academia Sinica, 11529, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yu", 
        "givenName": "Chia-Cheng", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academia Sinica", 
          "id": "https://www.grid.ac/institutes/grid.28665.3f", 
          "name": [
            "Research Center for Applied Sciences, Academia Sinica, 11529, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Yi-Wen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academia Sinica", 
          "id": "https://www.grid.ac/institutes/grid.28665.3f", 
          "name": [
            "Genomics Research Center, Academia Sinica, 11529, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yeh", 
        "givenName": "Po-Ying", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ming Chi University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.440372.6", 
          "name": [
            "Department of Materials Engineering, Ming Chi University of Technology, Taishan, 24301, New Taipei City, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hsiao", 
        "givenName": "Yu-Sheng", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ming Chi University of Technology", 
          "id": "https://www.grid.ac/institutes/grid.440372.6", 
          "name": [
            "Department of Materials Engineering, Ming Chi University of Technology, Taishan, 24301, New Taipei City, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lin", 
        "givenName": "Wei-Ting", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academia Sinica", 
          "id": "https://www.grid.ac/institutes/grid.28665.3f", 
          "name": [
            "Research Center for Applied Sciences, Academia Sinica, 11529, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuo", 
        "givenName": "Chiung-Wen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academia Sinica", 
          "id": "https://www.grid.ac/institutes/grid.28665.3f", 
          "name": [
            "Research Center for Applied Sciences, Academia Sinica, 11529, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chueh", 
        "givenName": "Di-Yen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academia Sinica", 
          "id": "https://www.grid.ac/institutes/grid.28665.3f", 
          "name": [
            "Research Center for Applied Sciences, Academia Sinica, 11529, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "You", 
        "givenName": "Yun-Wen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academia Sinica", 
          "id": "https://www.grid.ac/institutes/grid.28665.3f", 
          "name": [
            "Research Center for Applied Sciences, Academia Sinica, 11529, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shyue", 
        "givenName": "Jing-Jong", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academia Sinica", 
          "id": "https://www.grid.ac/institutes/grid.28665.3f", 
          "name": [
            "Genomics Research Center, Academia Sinica, 11529, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chang", 
        "givenName": "Ying-Chih", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academia Sinica", 
          "id": "https://www.grid.ac/institutes/grid.28665.3f", 
          "name": [
            "Research Center for Applied Sciences, Academia Sinica, 11529, Taipei, Taiwan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Peilin", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/app.31059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000003126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/app.31059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000003126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep15342", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000170243", 
          "https://doi.org/10.1038/srep15342"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.colsurfb.2015.05.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001535826"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.201200155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003438211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12885-016-2252-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006054594", 
          "https://doi.org/10.1186/s12885-016-2252-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-60761-670-2_3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007722977", 
          "https://doi.org/10.1007/978-1-60761-670-2_3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-60761-670-2_3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007722977", 
          "https://doi.org/10.1007/978-1-60761-670-2_3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep12270", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008000155", 
          "https://doi.org/10.1038/srep12270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s13205-014-0229-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009255640", 
          "https://doi.org/10.1007/s13205-014-0229-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/natrevmats.2016.75", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010697489", 
          "https://doi.org/10.1038/natrevmats.2016.75"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5ra11662g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012415839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1468-6996/11/1/014108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012461587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adma.201205237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016271376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c5tb00096c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016981740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.4893348", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019073521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2016.10.070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020210330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrclinonc.2016.144", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022843332", 
          "https://doi.org/10.1038/nrclinonc.2016.144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0149633", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024316628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0149633", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024316628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/app.41496", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024397774"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature17038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026513830", 
          "https://doi.org/10.1038/nature17038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/anie.201208452", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027895967"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/smll.201400429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032994188"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7150/thno.9627", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033104526"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.msec.2015.08.066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034850168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijbiomac.2015.05.050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036080765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.analchem.6b04255", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036211720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12035-014-8931-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036638218", 
          "https://doi.org/10.1007/s12035-014-8931-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.msec.2015.08.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037086414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0126338", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042362646"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c4ra03782k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045118595"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adhm.201400650", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047721667"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijbiomac.2015.12.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047741804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijpharm.2016.12.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050420784"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biotechadv.2015.10.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052841024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.dental.2015.01.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053029281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.analchem.5b04927", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055079551"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.analchem.6b01324", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055079913"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.langmuir.6b02591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055117777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.langmuir.6b02591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055117777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acsami.5b01953", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055126771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acsami.6b01241", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055129710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/ten.tea.2011.0368", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059315949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/ten.tea.2012.0374", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059316195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1373/clinchem.2015.249706", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067169442"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/boe.8.001025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084499544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acsnano.7b03073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090778847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c7ra07515d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090892120"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acsami.7b07042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091295780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adhm.201700701", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091514763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/adhm.201700701", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091514763"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/polym9120658", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093134655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/polym9120658", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093134655"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12951-017-0330-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100433799", 
          "https://doi.org/10.1186/s12951-017-0330-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.addr.2018.03.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101538243"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.addr.2018.03.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101538243"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.addr.2018.03.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101538243"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.addr.2018.03.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101538243"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acsbiomaterials.8b00150", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105306863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actbio.2018.09.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106967594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actbio.2018.09.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106967594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actbio.2018.09.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106967594"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Circulating tumor cells (CTCs) comprise the high metastatic potential population of cancer cells in the blood circulation of humans; they have become the established biomarkers for cancer diagnosis, individualized cancer therapy, and cancer development. Technologies for the isolation and recovery of CTCs can be powerful cancer diagnostic tools for liquid biopsies, allowing the identification of malignancies and guiding cancer treatments for precision medicine.\nMETHODS: We have used an electrospinning process to prepare poly(lactic-co-glycolic acid) (PLGA) nanofibrous arrays in random or aligned orientations on glass slips. We then fabricated poly(methyl methacrylate) (PMMA)-based microfluidic chips embedding the PLGA nanofiber arrays and modified their surfaces through sequential coating with using biotin-(PEG)7-amine through EDC/NHS activation, streptavidin (SA), and biotinylated epithelial-cell adhesion-molecule antibody (biotin-anti-EpCAM) to achieve highly efficient CTC capture. When combined with an air foam technology that induced a high shear stress and, thereby, nondestructive release of the captured cells from the PLGA surfaces, the proposed device system operated with a high cell recovery rate.\nRESULTS: The morphologies and average diameters of the electrospun PLGA nanofibers were characterized using scanning electron microscopy (SEM) and confocal Raman imaging. The surface chemistry of the PLGA nanofibers conjugated with the biotin-(PEG)7-amine was confirmed through time-of-flight secondary ion mass spectrometry (ToF-SIMS) imaging. The chip system was studied for the effects of the surface modification density of biotin-(PEG)7-amine, the flow rates, and the diameters of the PLGA nanofibers on the capture efficiency of EpCAM-positive HCT116 cells from the spiked liquid samples. To assess their CTC capture efficiencies in whole blood samples, the aligned and random PLGA nanofiber arrays were tested for their abilities to capture HCT116 cells, providing cancer cell capture efficiencies of 66 and 80%, respectively. With the continuous injection of air foam into the microfluidic devices, the cell release efficiency on the aligned PLGA fibers was 74% (recovery rate: 49%), while it was 90% (recovery rate: 73%) on the random PLGA fibers, from tests of 200 spiked cells in 2\u00a0mL of whole blood from healthy individuals. Our study suggests that integrated PMMA microfluidic chips embedding random PLGA nanofiber arrays may be suitable devices for the efficient capture and recovery of CTCs from whole blood samples.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12951-019-0466-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1031280", 
        "issn": [
          "1477-3155"
        ], 
        "name": "Journal of Nanobiotechnology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "name": "Random and aligned electrospun PLGA nanofibers embedded in microfluidic chips for cancer cell isolation and integration with air foam technology for cell release", 
    "pagination": "31", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "478e8d1adc0855f2e80dfb67d780e02b3aeee327bf62a3de0a773544374ebe3c"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30782169"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101152208"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12951-019-0466-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112224148"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12951-019-0466-2", 
      "https://app.dimensions.ai/details/publication/pub.1112224148"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:29", 
    "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/v90/0000000349_0000000349/records_113641_00000005.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12951-019-0466-2"
  }
]
 

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/s12951-019-0466-2'

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/s12951-019-0466-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12951-019-0466-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12951-019-0466-2'


 

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

298 TRIPLES      21 PREDICATES      81 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12951-019-0466-2 schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author N472ea95f8814492e8099dcfe794bc832
4 schema:citation sg:pub.10.1007/978-1-60761-670-2_3
5 sg:pub.10.1007/s12035-014-8931-2
6 sg:pub.10.1007/s13205-014-0229-6
7 sg:pub.10.1038/natrevmats.2016.75
8 sg:pub.10.1038/nature17038
9 sg:pub.10.1038/nrclinonc.2016.144
10 sg:pub.10.1038/srep12270
11 sg:pub.10.1038/srep15342
12 sg:pub.10.1186/s12885-016-2252-y
13 sg:pub.10.1186/s12951-017-0330-1
14 https://doi.org/10.1002/adhm.201400650
15 https://doi.org/10.1002/adhm.201700701
16 https://doi.org/10.1002/adma.201200155
17 https://doi.org/10.1002/adma.201205237
18 https://doi.org/10.1002/anie.201208452
19 https://doi.org/10.1002/app.31059
20 https://doi.org/10.1002/app.41496
21 https://doi.org/10.1002/smll.201400429
22 https://doi.org/10.1016/j.actbio.2018.09.013
23 https://doi.org/10.1016/j.addr.2018.03.006
24 https://doi.org/10.1016/j.biotechadv.2015.10.014
25 https://doi.org/10.1016/j.colsurfb.2015.05.029
26 https://doi.org/10.1016/j.dental.2015.01.006
27 https://doi.org/10.1016/j.ijbiomac.2015.05.050
28 https://doi.org/10.1016/j.ijbiomac.2015.12.024
29 https://doi.org/10.1016/j.ijpharm.2016.12.022
30 https://doi.org/10.1016/j.jhazmat.2016.10.070
31 https://doi.org/10.1016/j.msec.2015.08.032
32 https://doi.org/10.1016/j.msec.2015.08.066
33 https://doi.org/10.1021/acs.analchem.5b04927
34 https://doi.org/10.1021/acs.analchem.6b01324
35 https://doi.org/10.1021/acs.analchem.6b04255
36 https://doi.org/10.1021/acs.langmuir.6b02591
37 https://doi.org/10.1021/acsami.5b01953
38 https://doi.org/10.1021/acsami.6b01241
39 https://doi.org/10.1021/acsami.7b07042
40 https://doi.org/10.1021/acsbiomaterials.8b00150
41 https://doi.org/10.1021/acsnano.7b03073
42 https://doi.org/10.1039/c4ra03782k
43 https://doi.org/10.1039/c5ra11662g
44 https://doi.org/10.1039/c5tb00096c
45 https://doi.org/10.1039/c7ra07515d
46 https://doi.org/10.1063/1.4893348
47 https://doi.org/10.1088/1468-6996/11/1/014108
48 https://doi.org/10.1089/ten.tea.2011.0368
49 https://doi.org/10.1089/ten.tea.2012.0374
50 https://doi.org/10.1364/boe.8.001025
51 https://doi.org/10.1371/journal.pone.0126338
52 https://doi.org/10.1371/journal.pone.0149633
53 https://doi.org/10.1373/clinchem.2015.249706
54 https://doi.org/10.3390/polym9120658
55 https://doi.org/10.7150/thno.9627
56 schema:datePublished 2019-12
57 schema:datePublishedReg 2019-12-01
58 schema:description BACKGROUND: Circulating tumor cells (CTCs) comprise the high metastatic potential population of cancer cells in the blood circulation of humans; they have become the established biomarkers for cancer diagnosis, individualized cancer therapy, and cancer development. Technologies for the isolation and recovery of CTCs can be powerful cancer diagnostic tools for liquid biopsies, allowing the identification of malignancies and guiding cancer treatments for precision medicine. METHODS: We have used an electrospinning process to prepare poly(lactic-co-glycolic acid) (PLGA) nanofibrous arrays in random or aligned orientations on glass slips. We then fabricated poly(methyl methacrylate) (PMMA)-based microfluidic chips embedding the PLGA nanofiber arrays and modified their surfaces through sequential coating with using biotin-(PEG)7-amine through EDC/NHS activation, streptavidin (SA), and biotinylated epithelial-cell adhesion-molecule antibody (biotin-anti-EpCAM) to achieve highly efficient CTC capture. When combined with an air foam technology that induced a high shear stress and, thereby, nondestructive release of the captured cells from the PLGA surfaces, the proposed device system operated with a high cell recovery rate. RESULTS: The morphologies and average diameters of the electrospun PLGA nanofibers were characterized using scanning electron microscopy (SEM) and confocal Raman imaging. The surface chemistry of the PLGA nanofibers conjugated with the biotin-(PEG)7-amine was confirmed through time-of-flight secondary ion mass spectrometry (ToF-SIMS) imaging. The chip system was studied for the effects of the surface modification density of biotin-(PEG)7-amine, the flow rates, and the diameters of the PLGA nanofibers on the capture efficiency of EpCAM-positive HCT116 cells from the spiked liquid samples. To assess their CTC capture efficiencies in whole blood samples, the aligned and random PLGA nanofiber arrays were tested for their abilities to capture HCT116 cells, providing cancer cell capture efficiencies of 66 and 80%, respectively. With the continuous injection of air foam into the microfluidic devices, the cell release efficiency on the aligned PLGA fibers was 74% (recovery rate: 49%), while it was 90% (recovery rate: 73%) on the random PLGA fibers, from tests of 200 spiked cells in 2 mL of whole blood from healthy individuals. Our study suggests that integrated PMMA microfluidic chips embedding random PLGA nanofiber arrays may be suitable devices for the efficient capture and recovery of CTCs from whole blood samples.
59 schema:genre research_article
60 schema:inLanguage en
61 schema:isAccessibleForFree true
62 schema:isPartOf Naba7eadc82154731b0765e1dc23afc50
63 Ndf101b838c2c43708f2224731302611e
64 sg:journal.1031280
65 schema:name Random and aligned electrospun PLGA nanofibers embedded in microfluidic chips for cancer cell isolation and integration with air foam technology for cell release
66 schema:pagination 31
67 schema:productId N9f1b4407940d4590b59bcfffcea293c8
68 Nb00d0b6f93d4473f81348c1757dc8f6c
69 Nbe614c59cefc41d1a6c3f0cc9756ebac
70 Nd2f809e66e594704b6bb2fd274af9d71
71 Nf4c51da58b514e01b99f222f1eab7209
72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112224148
73 https://doi.org/10.1186/s12951-019-0466-2
74 schema:sdDatePublished 2019-04-11T10:29
75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
76 schema:sdPublisher N6e6e8c216f664736b393218aa7ef8087
77 schema:url https://link.springer.com/10.1186%2Fs12951-019-0466-2
78 sgo:license sg:explorer/license/
79 sgo:sdDataset articles
80 rdf:type schema:ScholarlyArticle
81 N097d3723ec534bea895f56f2ca4da3db schema:affiliation https://www.grid.ac/institutes/grid.28665.3f
82 schema:familyName Yeh
83 schema:givenName Po-Ying
84 rdf:type schema:Person
85 N11caa43da491447faf1ade38566eadab schema:affiliation https://www.grid.ac/institutes/grid.28665.3f
86 schema:familyName Chen
87 schema:givenName Peilin
88 rdf:type schema:Person
89 N1aadfb58e99242b3b9cf267dff650a0b rdf:first N6a476198afb34cc5bb4801382bebae42
90 rdf:rest Na38d770541a0469eb23f89dd77bc6f47
91 N29d80460af244c769019eb665672f4b0 schema:affiliation https://www.grid.ac/institutes/grid.28665.3f
92 schema:familyName Yu
93 schema:givenName Chia-Cheng
94 rdf:type schema:Person
95 N2aabf89cd72748ee9ec5b6f48f1f30b5 rdf:first N8125abc14c914948aedfc8182ab3466b
96 rdf:rest N3746c40a330c4d689a33806b8fbbaf46
97 N2fb2056ec49f4f2593e47da82325caa0 rdf:first N11caa43da491447faf1ade38566eadab
98 rdf:rest rdf:nil
99 N3746c40a330c4d689a33806b8fbbaf46 rdf:first N9a8c5fa50d894331851a65ccbb3919a2
100 rdf:rest N5664668f870b428691f141e0b54a12f8
101 N3e8c35ac58804f779483480b91da452e rdf:first N4f1573bef1f042c7be47b54720ca9f24
102 rdf:rest N5b20215822b6463fbb2eef1e5e9259cc
103 N472ea95f8814492e8099dcfe794bc832 rdf:first N29d80460af244c769019eb665672f4b0
104 rdf:rest N3e8c35ac58804f779483480b91da452e
105 N4839af575182479e9e7daf7be8bb1494 rdf:first N4e113f26de4640f8b0734bcd40caf95d
106 rdf:rest N2aabf89cd72748ee9ec5b6f48f1f30b5
107 N4e113f26de4640f8b0734bcd40caf95d schema:affiliation https://www.grid.ac/institutes/grid.440372.6
108 schema:familyName Hsiao
109 schema:givenName Yu-Sheng
110 rdf:type schema:Person
111 N4f1573bef1f042c7be47b54720ca9f24 schema:affiliation https://www.grid.ac/institutes/grid.28665.3f
112 schema:familyName Chen
113 schema:givenName Yi-Wen
114 rdf:type schema:Person
115 N5664668f870b428691f141e0b54a12f8 rdf:first Nec46c7ba1dec4a65997256d59e8a7feb
116 rdf:rest N8ea6afd1aa7c469bbdb755159bf15ef7
117 N5b20215822b6463fbb2eef1e5e9259cc rdf:first N097d3723ec534bea895f56f2ca4da3db
118 rdf:rest N4839af575182479e9e7daf7be8bb1494
119 N5b505c31949041f3961b292e6ee63a58 schema:affiliation https://www.grid.ac/institutes/grid.28665.3f
120 schema:familyName Chang
121 schema:givenName Ying-Chih
122 rdf:type schema:Person
123 N6a476198afb34cc5bb4801382bebae42 schema:affiliation https://www.grid.ac/institutes/grid.28665.3f
124 schema:familyName Shyue
125 schema:givenName Jing-Jong
126 rdf:type schema:Person
127 N6af9536844154ca09fb6b8bb29408d6f schema:affiliation https://www.grid.ac/institutes/grid.28665.3f
128 schema:familyName You
129 schema:givenName Yun-Wen
130 rdf:type schema:Person
131 N6e6e8c216f664736b393218aa7ef8087 schema:name Springer Nature - SN SciGraph project
132 rdf:type schema:Organization
133 N8125abc14c914948aedfc8182ab3466b schema:affiliation https://www.grid.ac/institutes/grid.440372.6
134 schema:familyName Lin
135 schema:givenName Wei-Ting
136 rdf:type schema:Person
137 N8ea6afd1aa7c469bbdb755159bf15ef7 rdf:first N6af9536844154ca09fb6b8bb29408d6f
138 rdf:rest N1aadfb58e99242b3b9cf267dff650a0b
139 N9a8c5fa50d894331851a65ccbb3919a2 schema:affiliation https://www.grid.ac/institutes/grid.28665.3f
140 schema:familyName Kuo
141 schema:givenName Chiung-Wen
142 rdf:type schema:Person
143 N9f1b4407940d4590b59bcfffcea293c8 schema:name dimensions_id
144 schema:value pub.1112224148
145 rdf:type schema:PropertyValue
146 Na38d770541a0469eb23f89dd77bc6f47 rdf:first N5b505c31949041f3961b292e6ee63a58
147 rdf:rest N2fb2056ec49f4f2593e47da82325caa0
148 Naba7eadc82154731b0765e1dc23afc50 schema:issueNumber 1
149 rdf:type schema:PublicationIssue
150 Nb00d0b6f93d4473f81348c1757dc8f6c schema:name readcube_id
151 schema:value 478e8d1adc0855f2e80dfb67d780e02b3aeee327bf62a3de0a773544374ebe3c
152 rdf:type schema:PropertyValue
153 Nbe614c59cefc41d1a6c3f0cc9756ebac schema:name doi
154 schema:value 10.1186/s12951-019-0466-2
155 rdf:type schema:PropertyValue
156 Nd2f809e66e594704b6bb2fd274af9d71 schema:name nlm_unique_id
157 schema:value 101152208
158 rdf:type schema:PropertyValue
159 Ndf101b838c2c43708f2224731302611e schema:volumeNumber 17
160 rdf:type schema:PublicationVolume
161 Nec46c7ba1dec4a65997256d59e8a7feb schema:affiliation https://www.grid.ac/institutes/grid.28665.3f
162 schema:familyName Chueh
163 schema:givenName Di-Yen
164 rdf:type schema:Person
165 Nf4c51da58b514e01b99f222f1eab7209 schema:name pubmed_id
166 schema:value 30782169
167 rdf:type schema:PropertyValue
168 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
169 schema:name Physical Sciences
170 rdf:type schema:DefinedTerm
171 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
172 schema:name Other Physical Sciences
173 rdf:type schema:DefinedTerm
174 sg:journal.1031280 schema:issn 1477-3155
175 schema:name Journal of Nanobiotechnology
176 rdf:type schema:Periodical
177 sg:pub.10.1007/978-1-60761-670-2_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007722977
178 https://doi.org/10.1007/978-1-60761-670-2_3
179 rdf:type schema:CreativeWork
180 sg:pub.10.1007/s12035-014-8931-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036638218
181 https://doi.org/10.1007/s12035-014-8931-2
182 rdf:type schema:CreativeWork
183 sg:pub.10.1007/s13205-014-0229-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009255640
184 https://doi.org/10.1007/s13205-014-0229-6
185 rdf:type schema:CreativeWork
186 sg:pub.10.1038/natrevmats.2016.75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010697489
187 https://doi.org/10.1038/natrevmats.2016.75
188 rdf:type schema:CreativeWork
189 sg:pub.10.1038/nature17038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026513830
190 https://doi.org/10.1038/nature17038
191 rdf:type schema:CreativeWork
192 sg:pub.10.1038/nrclinonc.2016.144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022843332
193 https://doi.org/10.1038/nrclinonc.2016.144
194 rdf:type schema:CreativeWork
195 sg:pub.10.1038/srep12270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008000155
196 https://doi.org/10.1038/srep12270
197 rdf:type schema:CreativeWork
198 sg:pub.10.1038/srep15342 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000170243
199 https://doi.org/10.1038/srep15342
200 rdf:type schema:CreativeWork
201 sg:pub.10.1186/s12885-016-2252-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1006054594
202 https://doi.org/10.1186/s12885-016-2252-y
203 rdf:type schema:CreativeWork
204 sg:pub.10.1186/s12951-017-0330-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100433799
205 https://doi.org/10.1186/s12951-017-0330-1
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1002/adhm.201400650 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047721667
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1002/adhm.201700701 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091514763
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1002/adma.201200155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003438211
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1002/adma.201205237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016271376
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1002/anie.201208452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027895967
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1002/app.31059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000003126
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1002/app.41496 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024397774
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1002/smll.201400429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032994188
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/j.actbio.2018.09.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106967594
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/j.addr.2018.03.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101538243
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/j.biotechadv.2015.10.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052841024
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/j.colsurfb.2015.05.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001535826
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1016/j.dental.2015.01.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053029281
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1016/j.ijbiomac.2015.05.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036080765
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1016/j.ijbiomac.2015.12.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047741804
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1016/j.ijpharm.2016.12.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050420784
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1016/j.jhazmat.2016.10.070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020210330
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/j.msec.2015.08.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037086414
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/j.msec.2015.08.066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034850168
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1021/acs.analchem.5b04927 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055079551
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1021/acs.analchem.6b01324 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055079913
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1021/acs.analchem.6b04255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036211720
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1021/acs.langmuir.6b02591 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055117777
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1021/acsami.5b01953 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055126771
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1021/acsami.6b01241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055129710
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1021/acsami.7b07042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091295780
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1021/acsbiomaterials.8b00150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105306863
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1021/acsnano.7b03073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090778847
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1039/c4ra03782k schema:sameAs https://app.dimensions.ai/details/publication/pub.1045118595
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1039/c5ra11662g schema:sameAs https://app.dimensions.ai/details/publication/pub.1012415839
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1039/c5tb00096c schema:sameAs https://app.dimensions.ai/details/publication/pub.1016981740
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1039/c7ra07515d schema:sameAs https://app.dimensions.ai/details/publication/pub.1090892120
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1063/1.4893348 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019073521
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1088/1468-6996/11/1/014108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012461587
274 rdf:type schema:CreativeWork
275 https://doi.org/10.1089/ten.tea.2011.0368 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059315949
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1089/ten.tea.2012.0374 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059316195
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1364/boe.8.001025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084499544
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1371/journal.pone.0126338 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042362646
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1371/journal.pone.0149633 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024316628
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1373/clinchem.2015.249706 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067169442
286 rdf:type schema:CreativeWork
287 https://doi.org/10.3390/polym9120658 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093134655
288 rdf:type schema:CreativeWork
289 https://doi.org/10.7150/thno.9627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033104526
290 rdf:type schema:CreativeWork
291 https://www.grid.ac/institutes/grid.28665.3f schema:alternateName Academia Sinica
292 schema:name Department of Materials Engineering, Ming Chi University of Technology, Taishan, 24301, New Taipei City, Taiwan
293 Genomics Research Center, Academia Sinica, 11529, Taipei, Taiwan
294 Research Center for Applied Sciences, Academia Sinica, 11529, Taipei, Taiwan
295 rdf:type schema:Organization
296 https://www.grid.ac/institutes/grid.440372.6 schema:alternateName Ming Chi University of Technology
297 schema:name Department of Materials Engineering, Ming Chi University of Technology, Taishan, 24301, New Taipei City, Taiwan
298 rdf:type schema:Organization
 




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


...