Thermal and vibrational biomarkers of porcine oral mucosa View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-04-15

AUTHORS

Camille Ober, Valérie Samouillan, Marie-Hélène Lacoste-Ferré, Jany Dandurand, Colette Lacabanne

ABSTRACT

The aim of this study was to develop an experimental protocol to determine specific and reproducible biomarkers of the oral mucosa using a combination of thermal and vibrational techniques. This works deals with the characterization of mandible and maxilla biopsies, 4 mm by diameter, from porcine mucosa in both the hydrated and lyophilized state. Thermogravimetric analysis was carried out to measure hydration level of these tissues and to define the onset of proteins degradation. By differential scanning calorimetry, thermal transitions of water and proteins were evidenced and used to quantify the hydric organization (unfreezable/freezable waters) and to evaluate collagen thermal stability (through denaturation parameters). To complete this protocol, Fourier transform infrared spectroscopy was also used to identify specific vibrational signatures of the main layers of oral mucosa. Total and freezable water amounts are significantly higher in maxilla, due to morphological differences at the macroscopic level, while unfreezable water amount is independent upon localization. Denaturation temperature (in peculiar the temperature corresponding to 50% of collagen denaturation) largely increases with dehydration. This temperature denaturation is also dependent upon localization whatever the hydration, possibly due to differences in cross-links or interactions with other proteins of oral mucosa. The acquisition of thermal and vibrational biomarkers of oral mucosa will contribute to a better knowledge of these soft tissues for further studies on aging. More... »

PAGES

1229-1238

References to SciGraph publications

  • 2013-08-15. Differential scanning calorimetric measurement of cartilage destruction caused by Gram-negative septic arthritis in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 1992-05. DSC study of melting and glass transition in gelatins in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2012-12-12. Differential scanning calorimetric examination of pathologic scar tissues of human skin in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2018-03-02. Structure and Functions of the Oral Mucosa in ORAL MUCOSA IN HEALTH AND DISEASE
  • 2014-12-04. Phase transitions of a parchment manufactured from deer leather in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2014-11-01. The use of thermal analysis in assessing the effect of bound water content and substrate rigidity on prevention of platelet adhesion in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2006-10-04. Thermo-mechanical analysis of dental silicone polymers in JOURNAL OF MATERIALS SCIENCE
  • 2016-03-16. Thermal and vibrational characterization of human skin in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2018-05-23. Thermal stability of collagen in naturally ageing and in vitro glycated rabbit tissues in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2005-05-12. Molecular mapping of periodontal tissues using infrared microspectroscopy in BMC MEDICAL IMAGING
  • 2011-04-09. Characterisation and evaluation of the environmental impact on historical parchments by differential scanning calorimetry in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • 2010-05-06. Differential scanning calorimetric examination of ruptured lower limb tendons in human in JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10973-020-09655-2

    DOI

    http://dx.doi.org/10.1007/s10973-020-09655-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1126696793


    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": "CIRIMAT UMR 5085, Institut Carnot, Equipe Physique Des Polym\u00e8res, Universit\u00e9 de Toulouse, Universit\u00e9 Paul Sabatier, 118 route de Narbonne, 31062, Toulouse Cedex, France", 
              "id": "http://www.grid.ac/institutes/grid.15781.3a", 
              "name": [
                "CIRIMAT UMR 5085, Institut Carnot, Equipe Physique Des Polym\u00e8res, Universit\u00e9 de Toulouse, Universit\u00e9 Paul Sabatier, 118 route de Narbonne, 31062, Toulouse Cedex, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ober", 
            "givenName": "Camille", 
            "id": "sg:person.013105316211.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013105316211.24"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CIRIMAT UMR 5085, Institut Carnot, Equipe Physique Des Polym\u00e8res, Universit\u00e9 de Toulouse, Universit\u00e9 Paul Sabatier, 118 route de Narbonne, 31062, Toulouse Cedex, France", 
              "id": "http://www.grid.ac/institutes/grid.15781.3a", 
              "name": [
                "CIRIMAT UMR 5085, Institut Carnot, Equipe Physique Des Polym\u00e8res, Universit\u00e9 de Toulouse, Universit\u00e9 Paul Sabatier, 118 route de Narbonne, 31062, Toulouse Cedex, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Samouillan", 
            "givenName": "Val\u00e9rie", 
            "id": "sg:person.01016334511.85", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016334511.85"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "G\u00e9rontop\u00f4le- CHU Toulouse, H\u00f4pital Garonne, 224 avenue de Casselardit - TSA 40031, 31059, Toulouse Cedex 9, France", 
              "id": "http://www.grid.ac/institutes/grid.411175.7", 
              "name": [
                "CIRIMAT UMR 5085, Institut Carnot, Equipe Physique Des Polym\u00e8res, Universit\u00e9 de Toulouse, Universit\u00e9 Paul Sabatier, 118 route de Narbonne, 31062, Toulouse Cedex, France", 
                "G\u00e9rontop\u00f4le- CHU Toulouse, H\u00f4pital Garonne, 224 avenue de Casselardit - TSA 40031, 31059, Toulouse Cedex 9, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lacoste-Ferr\u00e9", 
            "givenName": "Marie-H\u00e9l\u00e8ne", 
            "id": "sg:person.0663426774.28", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663426774.28"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CIRIMAT UMR 5085, Institut Carnot, Equipe Physique Des Polym\u00e8res, Universit\u00e9 de Toulouse, Universit\u00e9 Paul Sabatier, 118 route de Narbonne, 31062, Toulouse Cedex, France", 
              "id": "http://www.grid.ac/institutes/grid.15781.3a", 
              "name": [
                "CIRIMAT UMR 5085, Institut Carnot, Equipe Physique Des Polym\u00e8res, Universit\u00e9 de Toulouse, Universit\u00e9 Paul Sabatier, 118 route de Narbonne, 31062, Toulouse Cedex, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dandurand", 
            "givenName": "Jany", 
            "id": "sg:person.01233140637.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233140637.24"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "CIRIMAT UMR 5085, Institut Carnot, Equipe Physique Des Polym\u00e8res, Universit\u00e9 de Toulouse, Universit\u00e9 Paul Sabatier, 118 route de Narbonne, 31062, Toulouse Cedex, France", 
              "id": "http://www.grid.ac/institutes/grid.15781.3a", 
              "name": [
                "CIRIMAT UMR 5085, Institut Carnot, Equipe Physique Des Polym\u00e8res, Universit\u00e9 de Toulouse, Universit\u00e9 Paul Sabatier, 118 route de Narbonne, 31062, Toulouse Cedex, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lacabanne", 
            "givenName": "Colette", 
            "id": "sg:person.01122643671.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01122643671.07"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf01979179", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038461632", 
              "https://doi.org/10.1007/bf01979179"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-014-4244-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016713190", 
              "https://doi.org/10.1007/s10973-014-4244-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-014-4252-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042579025", 
              "https://doi.org/10.1007/s10973-014-4252-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-018-7375-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104158830", 
              "https://doi.org/10.1007/s10973-018-7375-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-016-5384-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049943225", 
              "https://doi.org/10.1007/s10973-016-5384-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2342-5-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053730718", 
              "https://doi.org/10.1186/1471-2342-5-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-011-1495-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039164287", 
              "https://doi.org/10.1007/s10973-011-1495-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-013-3351-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042099070", 
              "https://doi.org/10.1007/s10973-013-3351-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-012-2839-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031712233", 
              "https://doi.org/10.1007/s10973-012-2839-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10853-006-0852-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047848381", 
              "https://doi.org/10.1007/s10853-006-0852-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-56065-6_1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101292896", 
              "https://doi.org/10.1007/978-3-319-56065-6_1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10973-010-0820-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015670191", 
              "https://doi.org/10.1007/s10973-010-0820-y"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2020-04-15", 
        "datePublishedReg": "2020-04-15", 
        "description": "The aim of this study was to develop an experimental protocol to determine specific and reproducible biomarkers of the oral mucosa using a combination of thermal and vibrational techniques. This works deals with the characterization of mandible and maxilla biopsies, 4\u00a0mm by diameter, from porcine mucosa in both the hydrated and lyophilized state. Thermogravimetric analysis was carried out to measure hydration level of these tissues and to define the onset of proteins degradation. By differential scanning calorimetry, thermal transitions of water and proteins were evidenced and used to quantify the hydric organization (unfreezable/freezable waters) and to evaluate collagen thermal stability (through denaturation parameters). To complete this protocol, Fourier transform infrared spectroscopy was also used to identify specific vibrational signatures of the main layers of oral mucosa. Total and freezable water amounts are significantly higher in maxilla, due to morphological differences at the macroscopic level, while unfreezable water amount is independent upon localization. Denaturation temperature (in peculiar the temperature corresponding to 50% of collagen denaturation) largely increases with dehydration. This temperature denaturation is also dependent upon localization whatever the hydration, possibly due to differences in cross-links or interactions with other proteins of oral mucosa. The acquisition of thermal and vibrational biomarkers of oral mucosa will contribute to a better knowledge of these soft tissues for further studies on aging.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s10973-020-09655-2", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1294862", 
            "issn": [
              "1388-6150", 
              "1572-8943"
            ], 
            "name": "Journal of Thermal Analysis and Calorimetry", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "144"
          }
        ], 
        "keywords": [
          "freezable water amount", 
          "water amount", 
          "thermal stability", 
          "differential scanning calorimetry", 
          "thermogravimetric analysis", 
          "Fourier transform", 
          "specific vibrational signatures", 
          "scanning calorimetry", 
          "macroscopic level", 
          "main layers", 
          "porcine oral mucosa", 
          "thermal transitions", 
          "hydration level", 
          "soft tissue", 
          "vibrational techniques", 
          "layer", 
          "temperature", 
          "transform", 
          "stability", 
          "diameter", 
          "water", 
          "calorimetry", 
          "amount", 
          "degradation", 
          "spectroscopy", 
          "porcine mucosa", 
          "hydration", 
          "technique", 
          "characterization", 
          "collagen thermal stability", 
          "experimental protocol", 
          "vibrational signatures", 
          "better knowledge", 
          "denaturation temperature", 
          "dehydration", 
          "combination", 
          "transition", 
          "analysis", 
          "localization", 
          "study", 
          "state", 
          "interaction", 
          "acquisition", 
          "signatures", 
          "levels", 
          "protocol", 
          "maxilla", 
          "differences", 
          "mandible", 
          "aim", 
          "tissue", 
          "knowledge", 
          "onset", 
          "morphological differences", 
          "denaturation", 
          "Further studies", 
          "temperature denaturation", 
          "oral mucosa", 
          "organization", 
          "mucosa", 
          "protein", 
          "biomarkers", 
          "protein degradation", 
          "biopsy", 
          "reproducible biomarkers", 
          "characterization of mandible", 
          "maxilla biopsies", 
          "hydric organization", 
          "unfreezable water amount", 
          "vibrational biomarkers"
        ], 
        "name": "Thermal and vibrational biomarkers of porcine oral mucosa", 
        "pagination": "1229-1238", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1126696793"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10973-020-09655-2"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10973-020-09655-2", 
          "https://app.dimensions.ai/details/publication/pub.1126696793"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-01-01T18:51", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_836.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s10973-020-09655-2"
      }
    ]
     

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

    HOW TO GET THIS DATA PROGRAMMATICALLY:

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

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10973-020-09655-2'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10973-020-09655-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10973-020-09655-2'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10973-020-09655-2'


     

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

    216 TRIPLES      22 PREDICATES      109 URIs      87 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10973-020-09655-2 schema:about anzsrc-for:03
    2 anzsrc-for:0303
    3 anzsrc-for:0306
    4 anzsrc-for:0399
    5 schema:author N76aa14d86a4d456e9574c9b95b799728
    6 schema:citation sg:pub.10.1007/978-3-319-56065-6_1
    7 sg:pub.10.1007/bf01979179
    8 sg:pub.10.1007/s10853-006-0852-7
    9 sg:pub.10.1007/s10973-010-0820-y
    10 sg:pub.10.1007/s10973-011-1495-8
    11 sg:pub.10.1007/s10973-012-2839-8
    12 sg:pub.10.1007/s10973-013-3351-5
    13 sg:pub.10.1007/s10973-014-4244-y
    14 sg:pub.10.1007/s10973-014-4252-y
    15 sg:pub.10.1007/s10973-016-5384-z
    16 sg:pub.10.1007/s10973-018-7375-8
    17 sg:pub.10.1186/1471-2342-5-2
    18 schema:datePublished 2020-04-15
    19 schema:datePublishedReg 2020-04-15
    20 schema:description The aim of this study was to develop an experimental protocol to determine specific and reproducible biomarkers of the oral mucosa using a combination of thermal and vibrational techniques. This works deals with the characterization of mandible and maxilla biopsies, 4 mm by diameter, from porcine mucosa in both the hydrated and lyophilized state. Thermogravimetric analysis was carried out to measure hydration level of these tissues and to define the onset of proteins degradation. By differential scanning calorimetry, thermal transitions of water and proteins were evidenced and used to quantify the hydric organization (unfreezable/freezable waters) and to evaluate collagen thermal stability (through denaturation parameters). To complete this protocol, Fourier transform infrared spectroscopy was also used to identify specific vibrational signatures of the main layers of oral mucosa. Total and freezable water amounts are significantly higher in maxilla, due to morphological differences at the macroscopic level, while unfreezable water amount is independent upon localization. Denaturation temperature (in peculiar the temperature corresponding to 50% of collagen denaturation) largely increases with dehydration. This temperature denaturation is also dependent upon localization whatever the hydration, possibly due to differences in cross-links or interactions with other proteins of oral mucosa. The acquisition of thermal and vibrational biomarkers of oral mucosa will contribute to a better knowledge of these soft tissues for further studies on aging.
    21 schema:genre article
    22 schema:inLanguage en
    23 schema:isAccessibleForFree true
    24 schema:isPartOf N64add8f3ae8f4c5792ee30a905a80752
    25 Nf7d56e7f4ce34a9e81ce4b279edd0f15
    26 sg:journal.1294862
    27 schema:keywords Fourier transform
    28 Further studies
    29 acquisition
    30 aim
    31 amount
    32 analysis
    33 better knowledge
    34 biomarkers
    35 biopsy
    36 calorimetry
    37 characterization
    38 characterization of mandible
    39 collagen thermal stability
    40 combination
    41 degradation
    42 dehydration
    43 denaturation
    44 denaturation temperature
    45 diameter
    46 differences
    47 differential scanning calorimetry
    48 experimental protocol
    49 freezable water amount
    50 hydration
    51 hydration level
    52 hydric organization
    53 interaction
    54 knowledge
    55 layer
    56 levels
    57 localization
    58 macroscopic level
    59 main layers
    60 mandible
    61 maxilla
    62 maxilla biopsies
    63 morphological differences
    64 mucosa
    65 onset
    66 oral mucosa
    67 organization
    68 porcine mucosa
    69 porcine oral mucosa
    70 protein
    71 protein degradation
    72 protocol
    73 reproducible biomarkers
    74 scanning calorimetry
    75 signatures
    76 soft tissue
    77 specific vibrational signatures
    78 spectroscopy
    79 stability
    80 state
    81 study
    82 technique
    83 temperature
    84 temperature denaturation
    85 thermal stability
    86 thermal transitions
    87 thermogravimetric analysis
    88 tissue
    89 transform
    90 transition
    91 unfreezable water amount
    92 vibrational biomarkers
    93 vibrational signatures
    94 vibrational techniques
    95 water
    96 water amount
    97 schema:name Thermal and vibrational biomarkers of porcine oral mucosa
    98 schema:pagination 1229-1238
    99 schema:productId N4748b0563e0f474f8aec9fbd3635ccf3
    100 Nb9631296007042c786c9f12b1efa8802
    101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1126696793
    102 https://doi.org/10.1007/s10973-020-09655-2
    103 schema:sdDatePublished 2022-01-01T18:51
    104 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    105 schema:sdPublisher N09f887c0562f498280af91e956bbb2fa
    106 schema:url https://doi.org/10.1007/s10973-020-09655-2
    107 sgo:license sg:explorer/license/
    108 sgo:sdDataset articles
    109 rdf:type schema:ScholarlyArticle
    110 N09f887c0562f498280af91e956bbb2fa schema:name Springer Nature - SN SciGraph project
    111 rdf:type schema:Organization
    112 N16901ee29ab849b8ad2bccc84d53d6a9 rdf:first sg:person.01016334511.85
    113 rdf:rest N234f991a936a43fb93e0d8a7c73e4c24
    114 N234f991a936a43fb93e0d8a7c73e4c24 rdf:first sg:person.0663426774.28
    115 rdf:rest Ne7b4e12c4d6e49e7ae25aa3ee51adc5f
    116 N4748b0563e0f474f8aec9fbd3635ccf3 schema:name doi
    117 schema:value 10.1007/s10973-020-09655-2
    118 rdf:type schema:PropertyValue
    119 N64add8f3ae8f4c5792ee30a905a80752 schema:issueNumber 4
    120 rdf:type schema:PublicationIssue
    121 N76aa14d86a4d456e9574c9b95b799728 rdf:first sg:person.013105316211.24
    122 rdf:rest N16901ee29ab849b8ad2bccc84d53d6a9
    123 Nb9631296007042c786c9f12b1efa8802 schema:name dimensions_id
    124 schema:value pub.1126696793
    125 rdf:type schema:PropertyValue
    126 Ne7b4e12c4d6e49e7ae25aa3ee51adc5f rdf:first sg:person.01233140637.24
    127 rdf:rest Nf6173410b53c4829b0de449eb7adf3f4
    128 Nf6173410b53c4829b0de449eb7adf3f4 rdf:first sg:person.01122643671.07
    129 rdf:rest rdf:nil
    130 Nf7d56e7f4ce34a9e81ce4b279edd0f15 schema:volumeNumber 144
    131 rdf:type schema:PublicationVolume
    132 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
    133 schema:name Chemical Sciences
    134 rdf:type schema:DefinedTerm
    135 anzsrc-for:0303 schema:inDefinedTermSet anzsrc-for:
    136 schema:name Macromolecular and Materials Chemistry
    137 rdf:type schema:DefinedTerm
    138 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
    139 schema:name Physical Chemistry (incl. Structural)
    140 rdf:type schema:DefinedTerm
    141 anzsrc-for:0399 schema:inDefinedTermSet anzsrc-for:
    142 schema:name Other Chemical Sciences
    143 rdf:type schema:DefinedTerm
    144 sg:journal.1294862 schema:issn 1388-6150
    145 1572-8943
    146 schema:name Journal of Thermal Analysis and Calorimetry
    147 schema:publisher Springer Nature
    148 rdf:type schema:Periodical
    149 sg:person.01016334511.85 schema:affiliation grid-institutes:grid.15781.3a
    150 schema:familyName Samouillan
    151 schema:givenName Valérie
    152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016334511.85
    153 rdf:type schema:Person
    154 sg:person.01122643671.07 schema:affiliation grid-institutes:grid.15781.3a
    155 schema:familyName Lacabanne
    156 schema:givenName Colette
    157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01122643671.07
    158 rdf:type schema:Person
    159 sg:person.01233140637.24 schema:affiliation grid-institutes:grid.15781.3a
    160 schema:familyName Dandurand
    161 schema:givenName Jany
    162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01233140637.24
    163 rdf:type schema:Person
    164 sg:person.013105316211.24 schema:affiliation grid-institutes:grid.15781.3a
    165 schema:familyName Ober
    166 schema:givenName Camille
    167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013105316211.24
    168 rdf:type schema:Person
    169 sg:person.0663426774.28 schema:affiliation grid-institutes:grid.411175.7
    170 schema:familyName Lacoste-Ferré
    171 schema:givenName Marie-Hélène
    172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663426774.28
    173 rdf:type schema:Person
    174 sg:pub.10.1007/978-3-319-56065-6_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101292896
    175 https://doi.org/10.1007/978-3-319-56065-6_1
    176 rdf:type schema:CreativeWork
    177 sg:pub.10.1007/bf01979179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038461632
    178 https://doi.org/10.1007/bf01979179
    179 rdf:type schema:CreativeWork
    180 sg:pub.10.1007/s10853-006-0852-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047848381
    181 https://doi.org/10.1007/s10853-006-0852-7
    182 rdf:type schema:CreativeWork
    183 sg:pub.10.1007/s10973-010-0820-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1015670191
    184 https://doi.org/10.1007/s10973-010-0820-y
    185 rdf:type schema:CreativeWork
    186 sg:pub.10.1007/s10973-011-1495-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039164287
    187 https://doi.org/10.1007/s10973-011-1495-8
    188 rdf:type schema:CreativeWork
    189 sg:pub.10.1007/s10973-012-2839-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031712233
    190 https://doi.org/10.1007/s10973-012-2839-8
    191 rdf:type schema:CreativeWork
    192 sg:pub.10.1007/s10973-013-3351-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042099070
    193 https://doi.org/10.1007/s10973-013-3351-5
    194 rdf:type schema:CreativeWork
    195 sg:pub.10.1007/s10973-014-4244-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1016713190
    196 https://doi.org/10.1007/s10973-014-4244-y
    197 rdf:type schema:CreativeWork
    198 sg:pub.10.1007/s10973-014-4252-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1042579025
    199 https://doi.org/10.1007/s10973-014-4252-y
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1007/s10973-016-5384-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1049943225
    202 https://doi.org/10.1007/s10973-016-5384-z
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1007/s10973-018-7375-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104158830
    205 https://doi.org/10.1007/s10973-018-7375-8
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1186/1471-2342-5-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053730718
    208 https://doi.org/10.1186/1471-2342-5-2
    209 rdf:type schema:CreativeWork
    210 grid-institutes:grid.15781.3a schema:alternateName CIRIMAT UMR 5085, Institut Carnot, Equipe Physique Des Polymères, Université de Toulouse, Université Paul Sabatier, 118 route de Narbonne, 31062, Toulouse Cedex, France
    211 schema:name CIRIMAT UMR 5085, Institut Carnot, Equipe Physique Des Polymères, Université de Toulouse, Université Paul Sabatier, 118 route de Narbonne, 31062, Toulouse Cedex, France
    212 rdf:type schema:Organization
    213 grid-institutes:grid.411175.7 schema:alternateName Gérontopôle- CHU Toulouse, Hôpital Garonne, 224 avenue de Casselardit - TSA 40031, 31059, Toulouse Cedex 9, France
    214 schema:name CIRIMAT UMR 5085, Institut Carnot, Equipe Physique Des Polymères, Université de Toulouse, Université Paul Sabatier, 118 route de Narbonne, 31062, Toulouse Cedex, France
    215 Gérontopôle- CHU Toulouse, Hôpital Garonne, 224 avenue de Casselardit - TSA 40031, 31059, Toulouse Cedex 9, France
    216 rdf:type schema:Organization
     




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


    ...