Thermogravimetric analysis of lignocellulosic and microalgae biomasses and their blends during combustion View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-12-18

AUTHORS

R. López, C. Fernández, X. Gómez, O. Martínez, M. E. Sánchez

ABSTRACT

Thermogravimetric analysis was used to study and compare the combustion of different blends of corn bioresidues with sunflower, rape and algae bioresidues. Non-isothermal thermogravimetric data were used to obtain the combustion kinetics of these bioresidues. This paper reports on the application of the Vyazovkin and Ozawa–Flynn–Wall isoconversional methods for the evaluation of kinetic parameters (energy activation, pre-exponential factor and order of reaction) for the combustion of the biomasses studied. Differences were found in the TG curves in accordance with the proximate analysis results for the cellulose, hemicellulose and lignin content of biomasses. The activation energy obtained from combustion (E ~ 151.6 kJ mol−1) was lower than that from the blends (similar values were obtained for corn–sunflower, E ~ 160.5 kJ mol−1 and corn–rape, E ~ 156.9 kJ mol−1) whereas the activation energy obtained from the microalgae was higher (E ~ 171.5 kJ mol−1). Both the Vyazovkin and Ozawa–Flynn–Wall methods yielded similar results. More... »

PAGES

295-305

References to SciGraph publications

  • 2011-12-09. Thermogravimetry study of the pyrolytic characteristics and kinetics of macro-algae Macrocystis pyrifera residue in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2009-08-28. Thermal characterization of lignocellulosic residue from different sugarcanes in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2008-08-13. Thermal analysis study of the effect of coal-burning additives on the combustion of coals in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2011-02-12. A study of oxy-coal combustion with steam addition and biomass blending by thermogravimetric analysis in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 1970-09. Kinetic analysis of derivative curves in thermal analysis in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2004-02. Kinetic of thermal decomposition of residues from different kinds of composting in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2006-01-03. Model-free kinetics in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2011-04-11. Kinetics investigation on the combustion of waste capsicum stalks in Western China using thermogravimetric analysis in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2005-03. Analysis of the oxidation reactivity of carbonaceous materials using thermogravimetric analysis in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10973-012-2843-z

    DOI

    http://dx.doi.org/10.1007/s10973-012-2843-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1038901575


    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/2008/03", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Chemical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0303", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Macromolecular and Materials Chemistry", 
            "type": "DefinedTerm"
          }, 
          {
            "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/2008/0399", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Other Chemical Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Chemical Engineering Area, Institute of Natural Resources (IRENA), University of Le\u00f3n, Avenida de Portugal, 41, 24071, Le\u00f3n, Spain", 
              "id": "http://www.grid.ac/institutes/grid.4807.b", 
              "name": [
                "Chemical Engineering Area, Institute of Natural Resources (IRENA), University of Le\u00f3n, Avenida de Portugal, 41, 24071, Le\u00f3n, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "L\u00f3pez", 
            "givenName": "R.", 
            "id": "sg:person.0766041636.00", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766041636.00"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Chemical Engineering Area, Institute of Natural Resources (IRENA), University of Le\u00f3n, Avenida de Portugal, 41, 24071, Le\u00f3n, Spain", 
              "id": "http://www.grid.ac/institutes/grid.4807.b", 
              "name": [
                "Chemical Engineering Area, Institute of Natural Resources (IRENA), University of Le\u00f3n, Avenida de Portugal, 41, 24071, Le\u00f3n, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fern\u00e1ndez", 
            "givenName": "C.", 
            "id": "sg:person.014500103540.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014500103540.50"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Chemical Engineering Area, Institute of Natural Resources (IRENA), University of Le\u00f3n, Avenida de Portugal, 41, 24071, Le\u00f3n, Spain", 
              "id": "http://www.grid.ac/institutes/grid.4807.b", 
              "name": [
                "Chemical Engineering Area, Institute of Natural Resources (IRENA), University of Le\u00f3n, Avenida de Portugal, 41, 24071, Le\u00f3n, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "G\u00f3mez", 
            "givenName": "X.", 
            "id": "sg:person.0741337635.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741337635.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Chemical Engineering Area, Institute of Natural Resources (IRENA), University of Le\u00f3n, Avenida de Portugal, 41, 24071, Le\u00f3n, Spain", 
              "id": "http://www.grid.ac/institutes/grid.4807.b", 
              "name": [
                "Chemical Engineering Area, Institute of Natural Resources (IRENA), University of Le\u00f3n, Avenida de Portugal, 41, 24071, Le\u00f3n, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mart\u00ednez", 
            "givenName": "O.", 
            "id": "sg:person.01161123402.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161123402.06"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Chemical Engineering Area, Institute of Natural Resources (IRENA), University of Le\u00f3n, Avenida de Portugal, 41, 24071, Le\u00f3n, Spain", 
              "id": "http://www.grid.ac/institutes/grid.4807.b", 
              "name": [
                "Chemical Engineering Area, Institute of Natural Resources (IRENA), University of Le\u00f3n, Avenida de Portugal, 41, 24071, Le\u00f3n, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "S\u00e1nchez", 
            "givenName": "M. E.", 
            "id": "sg:person.01344625245.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344625245.01"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s10973-009-0370-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039762550", 
              "https://doi.org/10.1007/s10973-009-0370-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-011-1556-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046402098", 
              "https://doi.org/10.1007/s10973-011-1556-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-005-7044-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000655657", 
              "https://doi.org/10.1007/s10973-005-7044-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-008-9124-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051385945", 
              "https://doi.org/10.1007/s10973-008-9124-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-011-1342-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042727822", 
              "https://doi.org/10.1007/s10973-011-1342-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-011-2102-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032866307", 
              "https://doi.org/10.1007/s10973-011-2102-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/b:jtan.0000027126.92699.ba", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031515032", 
              "https://doi.org/10.1023/b:jtan.0000027126.92699.ba"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-005-0621-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000532429", 
              "https://doi.org/10.1007/s10973-005-0621-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01911411", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020362867", 
              "https://doi.org/10.1007/bf01911411"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2012-12-18", 
        "datePublishedReg": "2012-12-18", 
        "description": "Thermogravimetric analysis was used to study and compare the combustion of different blends of corn bioresidues with sunflower, rape and algae bioresidues. Non-isothermal thermogravimetric data were used to obtain the combustion kinetics of these bioresidues. This paper reports on the application of the Vyazovkin and Ozawa\u2013Flynn\u2013Wall isoconversional methods for the evaluation of kinetic parameters (energy activation, pre-exponential factor and order of reaction) for the combustion of the biomasses studied. Differences were found in the TG curves in accordance with the proximate analysis results for the cellulose, hemicellulose and lignin content of biomasses. The activation energy obtained from combustion (E\u00a0~\u00a0151.6\u00a0kJ\u00a0mol\u22121) was lower than that from the blends (similar values were obtained for corn\u2013sunflower, E\u00a0~\u00a0160.5\u00a0kJ\u00a0mol\u22121 and corn\u2013rape, E\u00a0~\u00a0156.9\u00a0kJ\u00a0mol\u22121) whereas the activation energy obtained from the microalgae was higher (E\u00a0~\u00a0171.5\u00a0kJ\u00a0mol\u22121). Both the Vyazovkin and Ozawa\u2013Flynn\u2013Wall methods yielded similar results.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10973-012-2843-z", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1294862", 
            "issn": [
              "1388-6150", 
              "1572-8943"
            ], 
            "name": "Journal of Thermal Analysis and Calorimetry", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "114"
          }
        ], 
        "keywords": [
          "Ozawa\u2013Flynn", 
          "thermogravimetric analysis", 
          "activation energy", 
          "non-isothermal thermogravimetric data", 
          "combustion kinetics", 
          "Wall isoconversional methods", 
          "combustion", 
          "different blends", 
          "microalgae biomass", 
          "wall method", 
          "proximate analysis results", 
          "content of biomass", 
          "bioresidues", 
          "blends", 
          "isoconversional method", 
          "analysis results", 
          "thermogravimetric data", 
          "Vyazovkin", 
          "TG curves", 
          "kinetic parameters", 
          "energy", 
          "biomass", 
          "method", 
          "applications", 
          "parameters", 
          "kinetics", 
          "results", 
          "cellulose", 
          "microalgae", 
          "curves", 
          "analysis", 
          "content", 
          "accordance", 
          "evaluation", 
          "similar results", 
          "data", 
          "differences", 
          "sunflower", 
          "rape", 
          "paper"
        ], 
        "name": "Thermogravimetric analysis of lignocellulosic and microalgae biomasses and their blends during combustion", 
        "pagination": "295-305", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1038901575"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10973-012-2843-z"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10973-012-2843-z", 
          "https://app.dimensions.ai/details/publication/pub.1038901575"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-05-10T10:06", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_557.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10973-012-2843-z"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10973-012-2843-z'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10973-012-2843-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10973-012-2843-z'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10973-012-2843-z'


     

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

    170 TRIPLES      22 PREDICATES      76 URIs      57 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10973-012-2843-z schema:about anzsrc-for:03
    2 anzsrc-for:0303
    3 anzsrc-for:0306
    4 anzsrc-for:0399
    5 schema:author N381e5811c5fd4183b9584be956b1eaf7
    6 schema:citation sg:pub.10.1007/bf01911411
    7 sg:pub.10.1007/s10973-005-0621-x
    8 sg:pub.10.1007/s10973-005-7044-6
    9 sg:pub.10.1007/s10973-008-9124-x
    10 sg:pub.10.1007/s10973-009-0370-3
    11 sg:pub.10.1007/s10973-011-1342-y
    12 sg:pub.10.1007/s10973-011-1556-z
    13 sg:pub.10.1007/s10973-011-2102-8
    14 sg:pub.10.1023/b:jtan.0000027126.92699.ba
    15 schema:datePublished 2012-12-18
    16 schema:datePublishedReg 2012-12-18
    17 schema:description Thermogravimetric analysis was used to study and compare the combustion of different blends of corn bioresidues with sunflower, rape and algae bioresidues. Non-isothermal thermogravimetric data were used to obtain the combustion kinetics of these bioresidues. This paper reports on the application of the Vyazovkin and Ozawa–Flynn–Wall isoconversional methods for the evaluation of kinetic parameters (energy activation, pre-exponential factor and order of reaction) for the combustion of the biomasses studied. Differences were found in the TG curves in accordance with the proximate analysis results for the cellulose, hemicellulose and lignin content of biomasses. The activation energy obtained from combustion (E ~ 151.6 kJ mol−1) was lower than that from the blends (similar values were obtained for corn–sunflower, E ~ 160.5 kJ mol−1 and corn–rape, E ~ 156.9 kJ mol−1) whereas the activation energy obtained from the microalgae was higher (E ~ 171.5 kJ mol−1). Both the Vyazovkin and Ozawa–Flynn–Wall methods yielded similar results.
    18 schema:genre article
    19 schema:inLanguage en
    20 schema:isAccessibleForFree false
    21 schema:isPartOf N60a6ae9f7e7549aa8a57689aaf6ff972
    22 Nbbd509c64b69405ebc3489ba58b52eae
    23 sg:journal.1294862
    24 schema:keywords Ozawa–Flynn
    25 TG curves
    26 Vyazovkin
    27 Wall isoconversional methods
    28 accordance
    29 activation energy
    30 analysis
    31 analysis results
    32 applications
    33 biomass
    34 bioresidues
    35 blends
    36 cellulose
    37 combustion
    38 combustion kinetics
    39 content
    40 content of biomass
    41 curves
    42 data
    43 differences
    44 different blends
    45 energy
    46 evaluation
    47 isoconversional method
    48 kinetic parameters
    49 kinetics
    50 method
    51 microalgae
    52 microalgae biomass
    53 non-isothermal thermogravimetric data
    54 paper
    55 parameters
    56 proximate analysis results
    57 rape
    58 results
    59 similar results
    60 sunflower
    61 thermogravimetric analysis
    62 thermogravimetric data
    63 wall method
    64 schema:name Thermogravimetric analysis of lignocellulosic and microalgae biomasses and their blends during combustion
    65 schema:pagination 295-305
    66 schema:productId N3642136ec01443198b4c979caec4da99
    67 Nc96bfacb6b864a239bc7770c23bab41e
    68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038901575
    69 https://doi.org/10.1007/s10973-012-2843-z
    70 schema:sdDatePublished 2022-05-10T10:06
    71 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    72 schema:sdPublisher Na48ca2ed29b74a8b95d6897bc278dd9e
    73 schema:url https://doi.org/10.1007/s10973-012-2843-z
    74 sgo:license sg:explorer/license/
    75 sgo:sdDataset articles
    76 rdf:type schema:ScholarlyArticle
    77 N3642136ec01443198b4c979caec4da99 schema:name doi
    78 schema:value 10.1007/s10973-012-2843-z
    79 rdf:type schema:PropertyValue
    80 N381e5811c5fd4183b9584be956b1eaf7 rdf:first sg:person.0766041636.00
    81 rdf:rest Nc6fc098a1cf74a2fa154ebdef0cb923b
    82 N3fbb4dc642014b20a1445643ca406081 rdf:first sg:person.0741337635.31
    83 rdf:rest N6d404e62856f49b3bbcdfcd2f6f9adbf
    84 N60a6ae9f7e7549aa8a57689aaf6ff972 schema:issueNumber 1
    85 rdf:type schema:PublicationIssue
    86 N6d404e62856f49b3bbcdfcd2f6f9adbf rdf:first sg:person.01161123402.06
    87 rdf:rest Nb3696329fd264c2eaa16a01c3d1b1bd8
    88 Na48ca2ed29b74a8b95d6897bc278dd9e schema:name Springer Nature - SN SciGraph project
    89 rdf:type schema:Organization
    90 Nb3696329fd264c2eaa16a01c3d1b1bd8 rdf:first sg:person.01344625245.01
    91 rdf:rest rdf:nil
    92 Nbbd509c64b69405ebc3489ba58b52eae schema:volumeNumber 114
    93 rdf:type schema:PublicationVolume
    94 Nc6fc098a1cf74a2fa154ebdef0cb923b rdf:first sg:person.014500103540.50
    95 rdf:rest N3fbb4dc642014b20a1445643ca406081
    96 Nc96bfacb6b864a239bc7770c23bab41e schema:name dimensions_id
    97 schema:value pub.1038901575
    98 rdf:type schema:PropertyValue
    99 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
    100 schema:name Chemical Sciences
    101 rdf:type schema:DefinedTerm
    102 anzsrc-for:0303 schema:inDefinedTermSet anzsrc-for:
    103 schema:name Macromolecular and Materials Chemistry
    104 rdf:type schema:DefinedTerm
    105 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
    106 schema:name Physical Chemistry (incl. Structural)
    107 rdf:type schema:DefinedTerm
    108 anzsrc-for:0399 schema:inDefinedTermSet anzsrc-for:
    109 schema:name Other Chemical Sciences
    110 rdf:type schema:DefinedTerm
    111 sg:journal.1294862 schema:issn 1388-6150
    112 1572-8943
    113 schema:name Journal of Thermal Analysis and Calorimetry
    114 schema:publisher Springer Nature
    115 rdf:type schema:Periodical
    116 sg:person.01161123402.06 schema:affiliation grid-institutes:grid.4807.b
    117 schema:familyName Martínez
    118 schema:givenName O.
    119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161123402.06
    120 rdf:type schema:Person
    121 sg:person.01344625245.01 schema:affiliation grid-institutes:grid.4807.b
    122 schema:familyName Sánchez
    123 schema:givenName M. E.
    124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344625245.01
    125 rdf:type schema:Person
    126 sg:person.014500103540.50 schema:affiliation grid-institutes:grid.4807.b
    127 schema:familyName Fernández
    128 schema:givenName C.
    129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014500103540.50
    130 rdf:type schema:Person
    131 sg:person.0741337635.31 schema:affiliation grid-institutes:grid.4807.b
    132 schema:familyName Gómez
    133 schema:givenName X.
    134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741337635.31
    135 rdf:type schema:Person
    136 sg:person.0766041636.00 schema:affiliation grid-institutes:grid.4807.b
    137 schema:familyName López
    138 schema:givenName R.
    139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766041636.00
    140 rdf:type schema:Person
    141 sg:pub.10.1007/bf01911411 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020362867
    142 https://doi.org/10.1007/bf01911411
    143 rdf:type schema:CreativeWork
    144 sg:pub.10.1007/s10973-005-0621-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1000532429
    145 https://doi.org/10.1007/s10973-005-0621-x
    146 rdf:type schema:CreativeWork
    147 sg:pub.10.1007/s10973-005-7044-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000655657
    148 https://doi.org/10.1007/s10973-005-7044-6
    149 rdf:type schema:CreativeWork
    150 sg:pub.10.1007/s10973-008-9124-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051385945
    151 https://doi.org/10.1007/s10973-008-9124-x
    152 rdf:type schema:CreativeWork
    153 sg:pub.10.1007/s10973-009-0370-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039762550
    154 https://doi.org/10.1007/s10973-009-0370-3
    155 rdf:type schema:CreativeWork
    156 sg:pub.10.1007/s10973-011-1342-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1042727822
    157 https://doi.org/10.1007/s10973-011-1342-y
    158 rdf:type schema:CreativeWork
    159 sg:pub.10.1007/s10973-011-1556-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1046402098
    160 https://doi.org/10.1007/s10973-011-1556-z
    161 rdf:type schema:CreativeWork
    162 sg:pub.10.1007/s10973-011-2102-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032866307
    163 https://doi.org/10.1007/s10973-011-2102-8
    164 rdf:type schema:CreativeWork
    165 sg:pub.10.1023/b:jtan.0000027126.92699.ba schema:sameAs https://app.dimensions.ai/details/publication/pub.1031515032
    166 https://doi.org/10.1023/b:jtan.0000027126.92699.ba
    167 rdf:type schema:CreativeWork
    168 grid-institutes:grid.4807.b schema:alternateName Chemical Engineering Area, Institute of Natural Resources (IRENA), University of León, Avenida de Portugal, 41, 24071, León, Spain
    169 schema:name Chemical Engineering Area, Institute of Natural Resources (IRENA), University of León, Avenida de Portugal, 41, 24071, León, Spain
    170 rdf:type schema:Organization
     




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


    ...