Optimization and Kinetic Model Development for Photocatalytic Dye Degradation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-11

AUTHORS

N. Setarehshenas, S. H. Hosseini, G. Ahmadi

ABSTRACT

In this study, the carbon-doped zirconium dioxide (ZrO2–C) nanocatalyst was synthesized by sol–gel method and was used for the degradation of basic red 46 (BR46) in water. In order to optimize the dye removal efficiency, different experimental variables involving pH, ZrO2–C concentration, initial BR46 concentration, and light intensity were analyzed by the response surface methodology. Variance analysis showed high determination coefficient values, with R2 and adjusted-R2 of, respectively, 0.9984 and 0.9965, as well as, a satisfactory prediction of the second-order regression model. Optimization results showed a maximum color removal efficiency of 98.4% at the optimal condition with initial pH 11, ZrO2–C concentration =0.15 g/L, UV light intensity =18W and the initial dye concentration =5 mg/L. Finally, a new kinetic model, in the form of Langmuir–Hinshelwood equation, based on the intrinsic element reactions was developed. The results indicated that the developed DDR-II model fitted well with the experimental data and with a minimal value of the mean absolute relative residual (13.08%). More... »

PAGES

5785-5797

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13369-017-3010-4

DOI

http://dx.doi.org/10.1007/s13369-017-3010-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1099692586


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0306", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Chemistry (incl. Structural)", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Sistan and Baluchestan", 
          "id": "https://www.grid.ac/institutes/grid.412796.f", 
          "name": [
            "Department of Chemical Engineering, Eyvan-e-Gharb Branch, Islamic Azad University, 694111-1359, Eyvan, Iran", 
            "Department of Chemical Engineering, University of Sistan and Baluchestan, 98164-161, Zahedan, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Setarehshenas", 
        "givenName": "N.", 
        "id": "sg:person.014175276473.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014175276473.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ilam University", 
          "id": "https://www.grid.ac/institutes/grid.411528.b", 
          "name": [
            "Department of Chemical Engineering, Ilam University, 69315-516, Ilam, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hosseini", 
        "givenName": "S. H.", 
        "id": "sg:person.014702155546.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014702155546.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Clarkson University", 
          "id": "https://www.grid.ac/institutes/grid.254280.9", 
          "name": [
            "Department of Mechanical and Aeronautical Engineering, Clarkson University, 13699-5725, Potsdam, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahmadi", 
        "givenName": "G.", 
        "id": "sg:person.013211562342.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013211562342.18"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.catcom.2015.08.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002471038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matchemphys.2015.03.031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004017587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/1010-6030(95)04090-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008051349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s11671-015-0780-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009182773", 
          "https://doi.org/10.1186/s11671-015-0780-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s11671-015-0780-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009182773", 
          "https://doi.org/10.1186/s11671-015-0780-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ceramint.2013.01.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009425449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2011.07.049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012768709"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-9517(90)90269-p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014425095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2013.04.111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017021962"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apcatb.2014.08.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019036035"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.carbon.2007.03.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020624392"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2011.01.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023283720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2008.01.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028811860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jenvman.2015.09.036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029020508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2008.04.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030912126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2008.07.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035204231"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2009.02.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035334080"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molliq.2016.01.046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035535699"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2015.10.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037267349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.apcatb.2007.09.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037422014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cherd.2011.01.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039653512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1010-6030(99)00150-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041003016"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jfoodeng.2005.11.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043972647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.matpr.2015.08.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044499020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2009.08.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045799005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jiec.2015.08.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046741463"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10971-005-6630-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047805839", 
          "https://doi.org/10.1007/s10971-005-6630-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1001-0742(09)60251-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049798930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cr00033a004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053963872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/es00021a001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055485091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie101997u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055603170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie101997u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055603170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ja00312a043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055722482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la000897d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056141259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/la000897d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056141259"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-11", 
    "datePublishedReg": "2018-11-01", 
    "description": "In this study, the carbon-doped zirconium dioxide (ZrO2\u2013C) nanocatalyst was synthesized by sol\u2013gel method and was used for the degradation of basic red 46 (BR46) in water. In order to optimize the dye removal efficiency, different experimental variables involving pH, ZrO2\u2013C concentration, initial BR46 concentration, and light intensity were analyzed by the response surface methodology. Variance analysis showed high determination coefficient values, with R2 and adjusted-R2 of, respectively, 0.9984 and 0.9965, as well as, a satisfactory prediction of the second-order regression model. Optimization results showed a maximum color removal efficiency of 98.4% at the optimal condition with initial pH 11, ZrO2\u2013C concentration =0.15 g/L, UV light intensity =18W and the initial dye concentration =5 mg/L. Finally, a new kinetic model, in the form of Langmuir\u2013Hinshelwood equation, based on the intrinsic element reactions was developed. The results indicated that the developed DDR-II model fitted well with the experimental data and with a minimal value of the mean absolute relative residual (13.08%).", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s13369-017-3010-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136851", 
        "issn": [
          "2193-567X", 
          "2191-4281"
        ], 
        "name": "Arabian Journal for Science and Engineering", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "43"
      }
    ], 
    "name": "Optimization and Kinetic Model Development for Photocatalytic Dye Degradation", 
    "pagination": "5785-5797", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1ab9ca0b1fcd9119c94a873b40aa6b3513adfba9e51eb1c23c2354c9ccca8ec3"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13369-017-3010-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1099692586"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13369-017-3010-4", 
      "https://app.dimensions.ai/details/publication/pub.1099692586"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:50", 
    "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_8669_00000555.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs13369-017-3010-4"
  }
]
 

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/s13369-017-3010-4'

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/s13369-017-3010-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13369-017-3010-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13369-017-3010-4'


 

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

180 TRIPLES      21 PREDICATES      59 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13369-017-3010-4 schema:about anzsrc-for:03
2 anzsrc-for:0306
3 schema:author N46f9df701745471d9c73914b19ca948f
4 schema:citation sg:pub.10.1007/s10971-005-6630-1
5 sg:pub.10.1186/s11671-015-0780-z
6 https://doi.org/10.1016/0021-9517(90)90269-p
7 https://doi.org/10.1016/1010-6030(95)04090-3
8 https://doi.org/10.1016/j.apcatb.2007.09.023
9 https://doi.org/10.1016/j.apcatb.2014.08.020
10 https://doi.org/10.1016/j.carbon.2007.03.038
11 https://doi.org/10.1016/j.catcom.2015.08.023
12 https://doi.org/10.1016/j.cej.2008.01.009
13 https://doi.org/10.1016/j.cej.2008.04.028
14 https://doi.org/10.1016/j.cej.2008.07.029
15 https://doi.org/10.1016/j.cej.2009.02.010
16 https://doi.org/10.1016/j.cej.2009.08.026
17 https://doi.org/10.1016/j.cej.2011.01.003
18 https://doi.org/10.1016/j.cej.2011.07.049
19 https://doi.org/10.1016/j.cej.2013.04.111
20 https://doi.org/10.1016/j.ceramint.2013.01.003
21 https://doi.org/10.1016/j.cherd.2011.01.001
22 https://doi.org/10.1016/j.jenvman.2015.09.036
23 https://doi.org/10.1016/j.jfoodeng.2005.11.024
24 https://doi.org/10.1016/j.jhazmat.2015.10.002
25 https://doi.org/10.1016/j.jiec.2015.08.028
26 https://doi.org/10.1016/j.matchemphys.2015.03.031
27 https://doi.org/10.1016/j.matpr.2015.08.020
28 https://doi.org/10.1016/j.molliq.2016.01.046
29 https://doi.org/10.1016/s1001-0742(09)60251-5
30 https://doi.org/10.1016/s1010-6030(99)00150-1
31 https://doi.org/10.1021/cr00033a004
32 https://doi.org/10.1021/es00021a001
33 https://doi.org/10.1021/ie101997u
34 https://doi.org/10.1021/ja00312a043
35 https://doi.org/10.1021/la000897d
36 schema:datePublished 2018-11
37 schema:datePublishedReg 2018-11-01
38 schema:description In this study, the carbon-doped zirconium dioxide (ZrO2–C) nanocatalyst was synthesized by sol–gel method and was used for the degradation of basic red 46 (BR46) in water. In order to optimize the dye removal efficiency, different experimental variables involving pH, ZrO2–C concentration, initial BR46 concentration, and light intensity were analyzed by the response surface methodology. Variance analysis showed high determination coefficient values, with R2 and adjusted-R2 of, respectively, 0.9984 and 0.9965, as well as, a satisfactory prediction of the second-order regression model. Optimization results showed a maximum color removal efficiency of 98.4% at the optimal condition with initial pH 11, ZrO2–C concentration =0.15 g/L, UV light intensity =18W and the initial dye concentration =5 mg/L. Finally, a new kinetic model, in the form of Langmuir–Hinshelwood equation, based on the intrinsic element reactions was developed. The results indicated that the developed DDR-II model fitted well with the experimental data and with a minimal value of the mean absolute relative residual (13.08%).
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree false
42 schema:isPartOf N788136e37b814e3692700de430a661ce
43 Nf4141cfeafba485fb6c29634121faaf9
44 sg:journal.1136851
45 schema:name Optimization and Kinetic Model Development for Photocatalytic Dye Degradation
46 schema:pagination 5785-5797
47 schema:productId Na858d12674754bc68fa5dfddec7a6cc1
48 Ncd21c213927f4a608c9d8b77eccb8150
49 Nf903daf0b97b49aaa3fc0b730cf669a9
50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099692586
51 https://doi.org/10.1007/s13369-017-3010-4
52 schema:sdDatePublished 2019-04-10T16:50
53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
54 schema:sdPublisher N953d4324794a4cf6b3bb45467cafe875
55 schema:url https://link.springer.com/10.1007%2Fs13369-017-3010-4
56 sgo:license sg:explorer/license/
57 sgo:sdDataset articles
58 rdf:type schema:ScholarlyArticle
59 N46f9df701745471d9c73914b19ca948f rdf:first sg:person.014175276473.92
60 rdf:rest Nb902fe0bf026471d931c3213fb63b4c5
61 N788136e37b814e3692700de430a661ce schema:volumeNumber 43
62 rdf:type schema:PublicationVolume
63 N953d4324794a4cf6b3bb45467cafe875 schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 Na858d12674754bc68fa5dfddec7a6cc1 schema:name dimensions_id
66 schema:value pub.1099692586
67 rdf:type schema:PropertyValue
68 Nb3f92c43a7e442ae88bf4998c2227ee4 rdf:first sg:person.013211562342.18
69 rdf:rest rdf:nil
70 Nb902fe0bf026471d931c3213fb63b4c5 rdf:first sg:person.014702155546.02
71 rdf:rest Nb3f92c43a7e442ae88bf4998c2227ee4
72 Ncd21c213927f4a608c9d8b77eccb8150 schema:name doi
73 schema:value 10.1007/s13369-017-3010-4
74 rdf:type schema:PropertyValue
75 Nf4141cfeafba485fb6c29634121faaf9 schema:issueNumber 11
76 rdf:type schema:PublicationIssue
77 Nf903daf0b97b49aaa3fc0b730cf669a9 schema:name readcube_id
78 schema:value 1ab9ca0b1fcd9119c94a873b40aa6b3513adfba9e51eb1c23c2354c9ccca8ec3
79 rdf:type schema:PropertyValue
80 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
81 schema:name Chemical Sciences
82 rdf:type schema:DefinedTerm
83 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
84 schema:name Physical Chemistry (incl. Structural)
85 rdf:type schema:DefinedTerm
86 sg:journal.1136851 schema:issn 2191-4281
87 2193-567X
88 schema:name Arabian Journal for Science and Engineering
89 rdf:type schema:Periodical
90 sg:person.013211562342.18 schema:affiliation https://www.grid.ac/institutes/grid.254280.9
91 schema:familyName Ahmadi
92 schema:givenName G.
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013211562342.18
94 rdf:type schema:Person
95 sg:person.014175276473.92 schema:affiliation https://www.grid.ac/institutes/grid.412796.f
96 schema:familyName Setarehshenas
97 schema:givenName N.
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014175276473.92
99 rdf:type schema:Person
100 sg:person.014702155546.02 schema:affiliation https://www.grid.ac/institutes/grid.411528.b
101 schema:familyName Hosseini
102 schema:givenName S. H.
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014702155546.02
104 rdf:type schema:Person
105 sg:pub.10.1007/s10971-005-6630-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047805839
106 https://doi.org/10.1007/s10971-005-6630-1
107 rdf:type schema:CreativeWork
108 sg:pub.10.1186/s11671-015-0780-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1009182773
109 https://doi.org/10.1186/s11671-015-0780-z
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/0021-9517(90)90269-p schema:sameAs https://app.dimensions.ai/details/publication/pub.1014425095
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/1010-6030(95)04090-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008051349
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/j.apcatb.2007.09.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037422014
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/j.apcatb.2014.08.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019036035
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/j.carbon.2007.03.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020624392
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/j.catcom.2015.08.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002471038
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/j.cej.2008.01.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028811860
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/j.cej.2008.04.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030912126
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/j.cej.2008.07.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035204231
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.cej.2009.02.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035334080
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.cej.2009.08.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045799005
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.cej.2011.01.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023283720
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.cej.2011.07.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012768709
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.cej.2013.04.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017021962
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.ceramint.2013.01.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009425449
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/j.cherd.2011.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039653512
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.jenvman.2015.09.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029020508
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/j.jfoodeng.2005.11.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043972647
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/j.jhazmat.2015.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037267349
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/j.jiec.2015.08.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046741463
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/j.matchemphys.2015.03.031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004017587
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/j.matpr.2015.08.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044499020
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/j.molliq.2016.01.046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035535699
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/s1001-0742(09)60251-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049798930
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/s1010-6030(99)00150-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041003016
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1021/cr00033a004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053963872
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1021/es00021a001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055485091
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1021/ie101997u schema:sameAs https://app.dimensions.ai/details/publication/pub.1055603170
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1021/ja00312a043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055722482
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1021/la000897d schema:sameAs https://app.dimensions.ai/details/publication/pub.1056141259
170 rdf:type schema:CreativeWork
171 https://www.grid.ac/institutes/grid.254280.9 schema:alternateName Clarkson University
172 schema:name Department of Mechanical and Aeronautical Engineering, Clarkson University, 13699-5725, Potsdam, NY, USA
173 rdf:type schema:Organization
174 https://www.grid.ac/institutes/grid.411528.b schema:alternateName Ilam University
175 schema:name Department of Chemical Engineering, Ilam University, 69315-516, Ilam, Iran
176 rdf:type schema:Organization
177 https://www.grid.ac/institutes/grid.412796.f schema:alternateName University of Sistan and Baluchestan
178 schema:name Department of Chemical Engineering, Eyvan-e-Gharb Branch, Islamic Azad University, 694111-1359, Eyvan, Iran
179 Department of Chemical Engineering, University of Sistan and Baluchestan, 98164-161, Zahedan, Iran
180 rdf:type schema:Organization
 




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


...