Structure and performance characterization of PDMS/PES-based pervaporation membranes for ethanol/water separation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-12

AUTHORS

Mina Jafarinasab, Jalal Barzin, Hamid Reza Mortaheb, Hamid Mobedi

ABSTRACT

Composite membranes, with a supporting layer of polyethersulfone (PES) and different active layers based on poly(dimethylsiloxane) (PDMS), were prepared to perform pervaporative separation of ethanol from water. Two approaches were adopted to enhance the ethanol selectivity of PDMS by: (1) evaluation of the effects of PDMS viscosity of two different grades and (2) the incorporation of new hydrophobic silica in the active layer. First, the structural morphology of support and active layers of the composite membranes was characterized. AFM images were evidence of the nodular structure of the membrane surfaces. Mean pore size and pore size distribution of PES layer, mean nodular size of PDMS layer, and their surface roughness and water contact angle were determined. The relationship between these structural properties and the pervaporation performance of composite membranes has then investigated. The effects of operating parameters, feed concentration and temperature on the membrane performance indicated that increasing the feed temperature improved PDMS/PES membranes pervaporative efficiency. Based on the results obtained, it was found that PDMS viscosity influenced the pervaporation performance; low-viscosity PDMS had a greater separation factor and greater permeation fluxes than high-viscosity PDMS. Moreover, silica-filled membranes improved the separation factor and enhanced the ethanol flux relatively. More... »

PAGES

989-1002

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13726-015-0387-3

DOI

http://dx.doi.org/10.1007/s13726-015-0387-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029795322


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/2008/0904", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Iran Polymer and Petrochemical Institute", 
          "id": "https://www.grid.ac/institutes/grid.419412.b", 
          "name": [
            "Biomaterials Department, Iran Polymer and Petrochemical Institute, P.O. Box: 14965/115, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jafarinasab", 
        "givenName": "Mina", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Iran Polymer and Petrochemical Institute", 
          "id": "https://www.grid.ac/institutes/grid.419412.b", 
          "name": [
            "Biomaterials Department, Iran Polymer and Petrochemical Institute, P.O. Box: 14965/115, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Barzin", 
        "givenName": "Jalal", 
        "id": "sg:person.0731250303.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731250303.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chemistry and Chemical Engineering Research Center of Iran", 
          "id": "https://www.grid.ac/institutes/grid.466618.b", 
          "name": [
            "Chemistry and Chemical Engineering Research Center of Iran, P.O. Box: 14968/13151, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mortaheb", 
        "givenName": "Hamid Reza", 
        "id": "sg:person.01032355401.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032355401.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Iran Polymer and Petrochemical Institute", 
          "id": "https://www.grid.ac/institutes/grid.419412.b", 
          "name": [
            "Biomaterials Department, Iran Polymer and Petrochemical Institute, P.O. Box: 14965/115, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mobedi", 
        "givenName": "Hamid", 
        "id": "sg:person.0667341312.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667341312.85"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.cej.2011.06.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000506915"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0014-3057(99)00130-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001246582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.desal.2011.07.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002140284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2011.02.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002786114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.seppur.2014.05.051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003728462"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2010.11.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005208265"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apenergy.2009.03.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006720918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2012.01.060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008212974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2009.04.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009417858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.reactfunctpolym.2014.08.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009624658"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijhydene.2011.01.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012017175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2007.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014201621"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apsusc.2012.05.167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017364109"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/app.32991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017670656"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/app.32991", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017670656"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.micromeso.2014.09.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019083358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.seppur.2014.02.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022280999"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2008.03.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025263389"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12668-011-0014-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025770342", 
          "https://doi.org/10.1007/s12668-011-0014-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ces.2004.11.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026066942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2010.05.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026668056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2012.11.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027972597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2010.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028256426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/15422119.2013.848816", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029376587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0376-7388(97)00329-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029989635"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.seppur.2012.01.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032225165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2012.10.050", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033316817"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0032-3861(02)00237-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035210941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2012.06.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035955216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2011.03.059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037059491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2011.08.060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037534542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2012.05.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038511800"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2008.05.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039000114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2004.02.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042972731"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2010.01.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043568913"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.carbon.2010.09.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044495796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0011-9164(02)00737-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044716898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/19443994.2014.887036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045362307"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biortech.2010.09.092", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045450957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0376-7388(97)00131-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046443742"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pc.23294", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047118254"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2011.05.060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047951630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcis.2010.02.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048223926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2009.10.060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049443755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2004.06.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050084437"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.desal.2010.09.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051092994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/app.35313", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051154969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.desal.2011.08.062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052317740"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.desal.2013.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052553362"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie303240f", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055606634"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/j100035a024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055650248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp0608933", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056065356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp0608933", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056065356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4028/www.scientific.net/amm.117-119.679", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071900605"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-12", 
    "datePublishedReg": "2015-12-01", 
    "description": "Composite membranes, with a supporting layer of polyethersulfone (PES) and different active layers based on poly(dimethylsiloxane) (PDMS), were prepared to perform pervaporative separation of ethanol from water. Two approaches were adopted to enhance the ethanol selectivity of PDMS by: (1) evaluation of the effects of PDMS viscosity of two different grades and (2) the incorporation of new hydrophobic silica in the active layer. First, the structural morphology of support and active layers of the composite membranes was characterized. AFM images were evidence of the nodular structure of the membrane surfaces. Mean pore size and pore size distribution of PES layer, mean nodular size of PDMS layer, and their surface roughness and water contact angle were determined. The relationship between these structural properties and the pervaporation performance of composite membranes has then investigated. The effects of operating parameters, feed concentration and temperature on the membrane performance indicated that increasing the feed temperature improved PDMS/PES membranes pervaporative efficiency. Based on the results obtained, it was found that PDMS viscosity influenced the pervaporation performance; low-viscosity PDMS had a greater separation factor and greater permeation fluxes than high-viscosity PDMS. Moreover, silica-filled membranes improved the separation factor and enhanced the ethanol flux relatively.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s13726-015-0387-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136545", 
        "issn": [
          "1026-1265", 
          "1735-5265"
        ], 
        "name": "Iranian Polymer Journal", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "24"
      }
    ], 
    "name": "Structure and performance characterization of PDMS/PES-based pervaporation membranes for ethanol/water separation", 
    "pagination": "989-1002", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8df095ca300ca01ada6b5bf9c37557587625f4d309e9c09bd067d99e54c05c37"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13726-015-0387-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1029795322"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13726-015-0387-3", 
      "https://app.dimensions.ai/details/publication/pub.1029795322"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:18", 
    "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/v90/0000000001_0000000264/records_8695_00000522.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs13726-015-0387-3"
  }
]
 

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/s13726-015-0387-3'

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/s13726-015-0387-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13726-015-0387-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13726-015-0387-3'


 

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

241 TRIPLES      21 PREDICATES      79 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13726-015-0387-3 schema:about anzsrc-for:09
2 anzsrc-for:0904
3 schema:author N7d3df672075e4dbf95583f3105c7c710
4 schema:citation sg:pub.10.1007/s12668-011-0014-5
5 https://doi.org/10.1002/app.32991
6 https://doi.org/10.1002/app.35313
7 https://doi.org/10.1002/pc.23294
8 https://doi.org/10.1016/j.apenergy.2009.03.015
9 https://doi.org/10.1016/j.apsusc.2012.05.167
10 https://doi.org/10.1016/j.biortech.2010.09.092
11 https://doi.org/10.1016/j.biortech.2012.01.060
12 https://doi.org/10.1016/j.carbon.2010.09.031
13 https://doi.org/10.1016/j.cej.2009.10.060
14 https://doi.org/10.1016/j.cej.2011.06.004
15 https://doi.org/10.1016/j.ces.2004.11.039
16 https://doi.org/10.1016/j.desal.2010.09.008
17 https://doi.org/10.1016/j.desal.2011.07.048
18 https://doi.org/10.1016/j.desal.2011.08.062
19 https://doi.org/10.1016/j.desal.2013.05.008
20 https://doi.org/10.1016/j.ijhydene.2011.01.016
21 https://doi.org/10.1016/j.jcis.2010.02.023
22 https://doi.org/10.1016/j.memsci.2004.02.029
23 https://doi.org/10.1016/j.memsci.2004.06.015
24 https://doi.org/10.1016/j.memsci.2007.10.003
25 https://doi.org/10.1016/j.memsci.2008.03.002
26 https://doi.org/10.1016/j.memsci.2008.05.032
27 https://doi.org/10.1016/j.memsci.2009.04.043
28 https://doi.org/10.1016/j.memsci.2010.01.043
29 https://doi.org/10.1016/j.memsci.2010.05.028
30 https://doi.org/10.1016/j.memsci.2010.08.006
31 https://doi.org/10.1016/j.memsci.2010.11.005
32 https://doi.org/10.1016/j.memsci.2011.02.043
33 https://doi.org/10.1016/j.memsci.2011.03.059
34 https://doi.org/10.1016/j.memsci.2011.05.060
35 https://doi.org/10.1016/j.memsci.2011.08.060
36 https://doi.org/10.1016/j.memsci.2012.05.043
37 https://doi.org/10.1016/j.memsci.2012.06.019
38 https://doi.org/10.1016/j.memsci.2012.10.050
39 https://doi.org/10.1016/j.memsci.2012.11.056
40 https://doi.org/10.1016/j.micromeso.2014.09.010
41 https://doi.org/10.1016/j.reactfunctpolym.2014.08.004
42 https://doi.org/10.1016/j.seppur.2012.01.011
43 https://doi.org/10.1016/j.seppur.2014.02.032
44 https://doi.org/10.1016/j.seppur.2014.05.051
45 https://doi.org/10.1016/s0011-9164(02)00737-3
46 https://doi.org/10.1016/s0014-3057(99)00130-5
47 https://doi.org/10.1016/s0032-3861(02)00237-9
48 https://doi.org/10.1016/s0376-7388(97)00131-2
49 https://doi.org/10.1016/s0376-7388(97)00329-3
50 https://doi.org/10.1021/ie303240f
51 https://doi.org/10.1021/j100035a024
52 https://doi.org/10.1021/jp0608933
53 https://doi.org/10.1080/15422119.2013.848816
54 https://doi.org/10.1080/19443994.2014.887036
55 https://doi.org/10.4028/www.scientific.net/amm.117-119.679
56 schema:datePublished 2015-12
57 schema:datePublishedReg 2015-12-01
58 schema:description Composite membranes, with a supporting layer of polyethersulfone (PES) and different active layers based on poly(dimethylsiloxane) (PDMS), were prepared to perform pervaporative separation of ethanol from water. Two approaches were adopted to enhance the ethanol selectivity of PDMS by: (1) evaluation of the effects of PDMS viscosity of two different grades and (2) the incorporation of new hydrophobic silica in the active layer. First, the structural morphology of support and active layers of the composite membranes was characterized. AFM images were evidence of the nodular structure of the membrane surfaces. Mean pore size and pore size distribution of PES layer, mean nodular size of PDMS layer, and their surface roughness and water contact angle were determined. The relationship between these structural properties and the pervaporation performance of composite membranes has then investigated. The effects of operating parameters, feed concentration and temperature on the membrane performance indicated that increasing the feed temperature improved PDMS/PES membranes pervaporative efficiency. Based on the results obtained, it was found that PDMS viscosity influenced the pervaporation performance; low-viscosity PDMS had a greater separation factor and greater permeation fluxes than high-viscosity PDMS. Moreover, silica-filled membranes improved the separation factor and enhanced the ethanol flux relatively.
59 schema:genre research_article
60 schema:inLanguage en
61 schema:isAccessibleForFree false
62 schema:isPartOf N46a164fe75004284bda08a3a387679af
63 N62e36bfe07e148478546c6522a371f5f
64 sg:journal.1136545
65 schema:name Structure and performance characterization of PDMS/PES-based pervaporation membranes for ethanol/water separation
66 schema:pagination 989-1002
67 schema:productId N2f59e58a129f4756b7aecc186e234beb
68 N4ebe669856054464ba094180adafbf52
69 N9ca89e6a0c99443dae59484a5703bba5
70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029795322
71 https://doi.org/10.1007/s13726-015-0387-3
72 schema:sdDatePublished 2019-04-11T00:18
73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
74 schema:sdPublisher N1790ea1045aa42cbb0b276fc0c41e4d0
75 schema:url http://link.springer.com/10.1007%2Fs13726-015-0387-3
76 sgo:license sg:explorer/license/
77 sgo:sdDataset articles
78 rdf:type schema:ScholarlyArticle
79 N1790ea1045aa42cbb0b276fc0c41e4d0 schema:name Springer Nature - SN SciGraph project
80 rdf:type schema:Organization
81 N20c9899d268849d8809c0fcf80b776c4 rdf:first sg:person.01032355401.29
82 rdf:rest N59d94a0baa724764ae19e818f19ae659
83 N2f59e58a129f4756b7aecc186e234beb schema:name readcube_id
84 schema:value 8df095ca300ca01ada6b5bf9c37557587625f4d309e9c09bd067d99e54c05c37
85 rdf:type schema:PropertyValue
86 N46a164fe75004284bda08a3a387679af schema:issueNumber 12
87 rdf:type schema:PublicationIssue
88 N4ebe669856054464ba094180adafbf52 schema:name dimensions_id
89 schema:value pub.1029795322
90 rdf:type schema:PropertyValue
91 N59d94a0baa724764ae19e818f19ae659 rdf:first sg:person.0667341312.85
92 rdf:rest rdf:nil
93 N62e36bfe07e148478546c6522a371f5f schema:volumeNumber 24
94 rdf:type schema:PublicationVolume
95 N72e87bbf762a487db8a708ef7c7cb61f schema:affiliation https://www.grid.ac/institutes/grid.419412.b
96 schema:familyName Jafarinasab
97 schema:givenName Mina
98 rdf:type schema:Person
99 N7d3df672075e4dbf95583f3105c7c710 rdf:first N72e87bbf762a487db8a708ef7c7cb61f
100 rdf:rest N8695b03ea6244f1c8f0abfbeece83c3e
101 N8695b03ea6244f1c8f0abfbeece83c3e rdf:first sg:person.0731250303.58
102 rdf:rest N20c9899d268849d8809c0fcf80b776c4
103 N9ca89e6a0c99443dae59484a5703bba5 schema:name doi
104 schema:value 10.1007/s13726-015-0387-3
105 rdf:type schema:PropertyValue
106 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
107 schema:name Engineering
108 rdf:type schema:DefinedTerm
109 anzsrc-for:0904 schema:inDefinedTermSet anzsrc-for:
110 schema:name Chemical Engineering
111 rdf:type schema:DefinedTerm
112 sg:journal.1136545 schema:issn 1026-1265
113 1735-5265
114 schema:name Iranian Polymer Journal
115 rdf:type schema:Periodical
116 sg:person.01032355401.29 schema:affiliation https://www.grid.ac/institutes/grid.466618.b
117 schema:familyName Mortaheb
118 schema:givenName Hamid Reza
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032355401.29
120 rdf:type schema:Person
121 sg:person.0667341312.85 schema:affiliation https://www.grid.ac/institutes/grid.419412.b
122 schema:familyName Mobedi
123 schema:givenName Hamid
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0667341312.85
125 rdf:type schema:Person
126 sg:person.0731250303.58 schema:affiliation https://www.grid.ac/institutes/grid.419412.b
127 schema:familyName Barzin
128 schema:givenName Jalal
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731250303.58
130 rdf:type schema:Person
131 sg:pub.10.1007/s12668-011-0014-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025770342
132 https://doi.org/10.1007/s12668-011-0014-5
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1002/app.32991 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017670656
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1002/app.35313 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051154969
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1002/pc.23294 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047118254
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.apenergy.2009.03.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006720918
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.apsusc.2012.05.167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017364109
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/j.biortech.2010.09.092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045450957
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.biortech.2012.01.060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008212974
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.carbon.2010.09.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044495796
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.cej.2009.10.060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049443755
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.cej.2011.06.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000506915
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.ces.2004.11.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026066942
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.desal.2010.09.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051092994
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/j.desal.2011.07.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002140284
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/j.desal.2011.08.062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052317740
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/j.desal.2013.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052553362
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/j.ijhydene.2011.01.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012017175
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/j.jcis.2010.02.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048223926
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/j.memsci.2004.02.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042972731
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/j.memsci.2004.06.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050084437
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/j.memsci.2007.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014201621
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.memsci.2008.03.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025263389
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.memsci.2008.05.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039000114
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.memsci.2009.04.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009417858
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.memsci.2010.01.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043568913
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.memsci.2010.05.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026668056
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.memsci.2010.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028256426
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.memsci.2010.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005208265
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.memsci.2011.02.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002786114
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/j.memsci.2011.03.059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037059491
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/j.memsci.2011.05.060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047951630
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/j.memsci.2011.08.060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037534542
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/j.memsci.2012.05.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038511800
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/j.memsci.2012.06.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035955216
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/j.memsci.2012.10.050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033316817
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/j.memsci.2012.11.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027972597
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/j.micromeso.2014.09.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019083358
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/j.reactfunctpolym.2014.08.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009624658
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.seppur.2012.01.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032225165
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.seppur.2014.02.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022280999
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.seppur.2014.05.051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003728462
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/s0011-9164(02)00737-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044716898
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/s0014-3057(99)00130-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001246582
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/s0032-3861(02)00237-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035210941
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/s0376-7388(97)00131-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046443742
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/s0376-7388(97)00329-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029989635
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1021/ie303240f schema:sameAs https://app.dimensions.ai/details/publication/pub.1055606634
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1021/j100035a024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055650248
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1021/jp0608933 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056065356
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1080/15422119.2013.848816 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029376587
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1080/19443994.2014.887036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045362307
233 rdf:type schema:CreativeWork
234 https://doi.org/10.4028/www.scientific.net/amm.117-119.679 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071900605
235 rdf:type schema:CreativeWork
236 https://www.grid.ac/institutes/grid.419412.b schema:alternateName Iran Polymer and Petrochemical Institute
237 schema:name Biomaterials Department, Iran Polymer and Petrochemical Institute, P.O. Box: 14965/115, Tehran, Iran
238 rdf:type schema:Organization
239 https://www.grid.ac/institutes/grid.466618.b schema:alternateName Chemistry and Chemical Engineering Research Center of Iran
240 schema:name Chemistry and Chemical Engineering Research Center of Iran, P.O. Box: 14968/13151, Tehran, Iran
241 rdf:type schema:Organization
 




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


...