Quantitative Medium-Resolution NMR Spectroscopy Under Non-Equilibrium Conditions, Studied on the Example of an Esterification Reaction View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-05

AUTHORS

Franz Dalitz, Lennart Kreckel, Michael Maiwald, Gisela Guthausen

ABSTRACT

Medium-resolution nuclear magnetic resonance spectroscopy is a promising tool for the monitoring of liquid reactions. For process analytical applications, the requirements of robustness and insensitivity of the spectrometer in relation to high temperatures and pressures are challenging. Within this study, a flow probe using a glass dewar is presented. Temperatures of flowing samples up to 130 °C and pressures up to 40 bar were successfully applied, and the corresponding temperature loss of the flowing sample at 2 ml min−1 was <2.4 °C at 130 °C. Furthermore, if the process requires a measurement in a non-equilibrium state of magnetization, a comprehensive data treatment is given. For this purpose, the influences of the flow and T1 of the substances under investigation are studied in detail on the example of a homogeneously catalyzed esterification. In addition, data analysis schemes were designed such that the experiments directly revealed mole fractions from the spectra. Limited spectral resolutions and low signal-to-noise ratio still did not obstruct quantitative interpretation of the experiments. More... »

PAGES

411-425

References to SciGraph publications

  • 2004-08. Measurement of fat content of food with single-sided NMR in JOURNAL OF THE AMERICAN OIL CHEMISTS' SOCIETY
  • 2013-02. Mobile Low-Field 1H NMR Spectroscopy Desktop Analysis of Biodiesel Production in APPLIED MAGNETIC RESONANCE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00723-014-0522-x

    DOI

    http://dx.doi.org/10.1007/s00723-014-0522-x

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1040100004


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

    JSON-LD is the canonical representation for SciGraph data.

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

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0299", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Other Physical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Physical Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Karlsruhe Institute of Technology", 
              "id": "https://www.grid.ac/institutes/grid.7892.4", 
              "name": [
                "Pro\u00b2NMR, Institute of MVM and IBG2, Karlsruhe Institute of Technology (KIT), Adenauerring 20b, 76131, Karlsruhe, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dalitz", 
            "givenName": "Franz", 
            "id": "sg:person.0635127615.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0635127615.14"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Karlsruhe Institute of Technology", 
              "id": "https://www.grid.ac/institutes/grid.7892.4", 
              "name": [
                "Pro\u00b2NMR, Institute of MVM and IBG2, Karlsruhe Institute of Technology (KIT), Adenauerring 20b, 76131, Karlsruhe, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kreckel", 
            "givenName": "Lennart", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Federal Institute For Materials Research and Testing", 
              "id": "https://www.grid.ac/institutes/grid.71566.33", 
              "name": [
                "BAM Federal Institute for Materials Research and Testing, Richard-Willstaetter-Str. 11, 12489, Berlin, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Maiwald", 
            "givenName": "Michael", 
            "id": "sg:person.01275032053.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275032053.36"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Karlsruhe Institute of Technology", 
              "id": "https://www.grid.ac/institutes/grid.7892.4", 
              "name": [
                "Pro\u00b2NMR, Institute of MVM and IBG2, Karlsruhe Institute of Technology (KIT), Adenauerring 20b, 76131, Karlsruhe, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Guthausen", 
            "givenName": "Gisela", 
            "id": "sg:person.01137445117.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137445117.13"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s11746-004-0969-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002444687", 
              "https://doi.org/10.1007/s11746-004-0969-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ces.2012.03.042", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017244344"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/andp.19614630506", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019165338"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0021-9673(70)80037-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020128876"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0009-2509(96)00226-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021876641"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/macp.201200092", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023627838"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0926-860x(02)00064-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024573658"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1039/b009293m", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026217428"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00723-012-0405-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031523665", 
              "https://doi.org/10.1007/s00723-012-0405-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pnmrs.2007.10.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034257078"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1039/b714266h", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040609038"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pnmrs.2013.09.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040628895"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jmr.2003.09.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044438039"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/nadc.201075952", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048954794"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/nadc.201075952", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048954794"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.pnmrs.2011.11.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052559064"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac00076a019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054970422"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac0102866", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054992403"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac0102866", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054992403"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac062091+", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054998851"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac062091+", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054998851"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ie050789s", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055599238"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ie050789s", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055599238"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ma1006599", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056194086"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ma1006599", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056194086"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.1675352", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057751810"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.1714248", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057781922"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1366/000370209789553156", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1065257884"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1366/000370209789553156", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1065257884"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2014-05", 
        "datePublishedReg": "2014-05-01", 
        "description": "Medium-resolution nuclear magnetic resonance spectroscopy is a promising tool for the monitoring of liquid reactions. For process analytical applications, the requirements of robustness and insensitivity of the spectrometer in relation to high temperatures and pressures are challenging. Within this study, a flow probe using a glass dewar is presented. Temperatures of flowing samples up to 130 \u00b0C and pressures up to 40 bar were successfully applied, and the corresponding temperature loss of the flowing sample at 2 ml min\u22121 was <2.4 \u00b0C at 130 \u00b0C. Furthermore, if the process requires a measurement in a non-equilibrium state of magnetization, a comprehensive data treatment is given. For this purpose, the influences of the flow and T1 of the substances under investigation are studied in detail on the example of a homogeneously catalyzed esterification. In addition, data analysis schemes were designed such that the experiments directly revealed mole fractions from the spectra. Limited spectral resolutions and low signal-to-noise ratio still did not obstruct quantitative interpretation of the experiments.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00723-014-0522-x", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1102112", 
            "issn": [
              "0937-9347", 
              "1613-7507"
            ], 
            "name": "Applied Magnetic Resonance", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "5", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "45"
          }
        ], 
        "name": "Quantitative Medium-Resolution NMR Spectroscopy Under Non-Equilibrium Conditions, Studied on the Example of an Esterification Reaction", 
        "pagination": "411-425", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "bf05a23cfc9887c939cd3955f617d091fe28a5c4eb515dd2efd7fb2cdf294e94"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00723-014-0522-x"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1040100004"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00723-014-0522-x", 
          "https://app.dimensions.ai/details/publication/pub.1040100004"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T21:32", 
        "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_8687_00000490.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/s00723-014-0522-x"
      }
    ]
     

    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/s00723-014-0522-x'

    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/s00723-014-0522-x'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00723-014-0522-x'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00723-014-0522-x'


     

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

    155 TRIPLES      21 PREDICATES      50 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00723-014-0522-x schema:about anzsrc-for:02
    2 anzsrc-for:0299
    3 schema:author N598ffc408ae14776b9c1bd23639dd84c
    4 schema:citation sg:pub.10.1007/s00723-012-0405-y
    5 sg:pub.10.1007/s11746-004-0969-5
    6 https://doi.org/10.1002/andp.19614630506
    7 https://doi.org/10.1002/macp.201200092
    8 https://doi.org/10.1002/nadc.201075952
    9 https://doi.org/10.1016/0009-2509(96)00226-6
    10 https://doi.org/10.1016/0021-9673(70)80037-1
    11 https://doi.org/10.1016/j.ces.2012.03.042
    12 https://doi.org/10.1016/j.jmr.2003.09.003
    13 https://doi.org/10.1016/j.pnmrs.2007.10.002
    14 https://doi.org/10.1016/j.pnmrs.2011.11.003
    15 https://doi.org/10.1016/j.pnmrs.2013.09.001
    16 https://doi.org/10.1016/s0926-860x(02)00064-9
    17 https://doi.org/10.1021/ac00076a019
    18 https://doi.org/10.1021/ac0102866
    19 https://doi.org/10.1021/ac062091+
    20 https://doi.org/10.1021/ie050789s
    21 https://doi.org/10.1021/ma1006599
    22 https://doi.org/10.1039/b009293m
    23 https://doi.org/10.1039/b714266h
    24 https://doi.org/10.1063/1.1675352
    25 https://doi.org/10.1063/1.1714248
    26 https://doi.org/10.1366/000370209789553156
    27 schema:datePublished 2014-05
    28 schema:datePublishedReg 2014-05-01
    29 schema:description Medium-resolution nuclear magnetic resonance spectroscopy is a promising tool for the monitoring of liquid reactions. For process analytical applications, the requirements of robustness and insensitivity of the spectrometer in relation to high temperatures and pressures are challenging. Within this study, a flow probe using a glass dewar is presented. Temperatures of flowing samples up to 130 °C and pressures up to 40 bar were successfully applied, and the corresponding temperature loss of the flowing sample at 2 ml min−1 was <2.4 °C at 130 °C. Furthermore, if the process requires a measurement in a non-equilibrium state of magnetization, a comprehensive data treatment is given. For this purpose, the influences of the flow and T1 of the substances under investigation are studied in detail on the example of a homogeneously catalyzed esterification. In addition, data analysis schemes were designed such that the experiments directly revealed mole fractions from the spectra. Limited spectral resolutions and low signal-to-noise ratio still did not obstruct quantitative interpretation of the experiments.
    30 schema:genre research_article
    31 schema:inLanguage en
    32 schema:isAccessibleForFree false
    33 schema:isPartOf N6664914ee0bc4c849364b48bc8ca5894
    34 Nb486e3951a82405d8e038dfdb2ae1836
    35 sg:journal.1102112
    36 schema:name Quantitative Medium-Resolution NMR Spectroscopy Under Non-Equilibrium Conditions, Studied on the Example of an Esterification Reaction
    37 schema:pagination 411-425
    38 schema:productId N1b565c03a1ed466881063c037c107833
    39 N1d68b9c55131497986e5dc578fe84c66
    40 Nea4ea963315f441ead84cc56b1670d10
    41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040100004
    42 https://doi.org/10.1007/s00723-014-0522-x
    43 schema:sdDatePublished 2019-04-10T21:32
    44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    45 schema:sdPublisher N9aa1529a4d32423dbb26dc8587191e8f
    46 schema:url http://link.springer.com/10.1007/s00723-014-0522-x
    47 sgo:license sg:explorer/license/
    48 sgo:sdDataset articles
    49 rdf:type schema:ScholarlyArticle
    50 N1b565c03a1ed466881063c037c107833 schema:name dimensions_id
    51 schema:value pub.1040100004
    52 rdf:type schema:PropertyValue
    53 N1d68b9c55131497986e5dc578fe84c66 schema:name readcube_id
    54 schema:value bf05a23cfc9887c939cd3955f617d091fe28a5c4eb515dd2efd7fb2cdf294e94
    55 rdf:type schema:PropertyValue
    56 N3ec242ff5c8b42d89efa5b3ca7ea4463 rdf:first N757d51a1d5f6493fadb9b0b87b796808
    57 rdf:rest Ne893d7fb9d6c42d69119641873f5c3b2
    58 N598ffc408ae14776b9c1bd23639dd84c rdf:first sg:person.0635127615.14
    59 rdf:rest N3ec242ff5c8b42d89efa5b3ca7ea4463
    60 N6664914ee0bc4c849364b48bc8ca5894 schema:volumeNumber 45
    61 rdf:type schema:PublicationVolume
    62 N757d51a1d5f6493fadb9b0b87b796808 schema:affiliation https://www.grid.ac/institutes/grid.7892.4
    63 schema:familyName Kreckel
    64 schema:givenName Lennart
    65 rdf:type schema:Person
    66 N9aa1529a4d32423dbb26dc8587191e8f schema:name Springer Nature - SN SciGraph project
    67 rdf:type schema:Organization
    68 Nb486e3951a82405d8e038dfdb2ae1836 schema:issueNumber 5
    69 rdf:type schema:PublicationIssue
    70 Nd0b5ffd6d95e4455930797ba68638a3c rdf:first sg:person.01137445117.13
    71 rdf:rest rdf:nil
    72 Ne893d7fb9d6c42d69119641873f5c3b2 rdf:first sg:person.01275032053.36
    73 rdf:rest Nd0b5ffd6d95e4455930797ba68638a3c
    74 Nea4ea963315f441ead84cc56b1670d10 schema:name doi
    75 schema:value 10.1007/s00723-014-0522-x
    76 rdf:type schema:PropertyValue
    77 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
    78 schema:name Physical Sciences
    79 rdf:type schema:DefinedTerm
    80 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
    81 schema:name Other Physical Sciences
    82 rdf:type schema:DefinedTerm
    83 sg:journal.1102112 schema:issn 0937-9347
    84 1613-7507
    85 schema:name Applied Magnetic Resonance
    86 rdf:type schema:Periodical
    87 sg:person.01137445117.13 schema:affiliation https://www.grid.ac/institutes/grid.7892.4
    88 schema:familyName Guthausen
    89 schema:givenName Gisela
    90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137445117.13
    91 rdf:type schema:Person
    92 sg:person.01275032053.36 schema:affiliation https://www.grid.ac/institutes/grid.71566.33
    93 schema:familyName Maiwald
    94 schema:givenName Michael
    95 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275032053.36
    96 rdf:type schema:Person
    97 sg:person.0635127615.14 schema:affiliation https://www.grid.ac/institutes/grid.7892.4
    98 schema:familyName Dalitz
    99 schema:givenName Franz
    100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0635127615.14
    101 rdf:type schema:Person
    102 sg:pub.10.1007/s00723-012-0405-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1031523665
    103 https://doi.org/10.1007/s00723-012-0405-y
    104 rdf:type schema:CreativeWork
    105 sg:pub.10.1007/s11746-004-0969-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002444687
    106 https://doi.org/10.1007/s11746-004-0969-5
    107 rdf:type schema:CreativeWork
    108 https://doi.org/10.1002/andp.19614630506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019165338
    109 rdf:type schema:CreativeWork
    110 https://doi.org/10.1002/macp.201200092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023627838
    111 rdf:type schema:CreativeWork
    112 https://doi.org/10.1002/nadc.201075952 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048954794
    113 rdf:type schema:CreativeWork
    114 https://doi.org/10.1016/0009-2509(96)00226-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021876641
    115 rdf:type schema:CreativeWork
    116 https://doi.org/10.1016/0021-9673(70)80037-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020128876
    117 rdf:type schema:CreativeWork
    118 https://doi.org/10.1016/j.ces.2012.03.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017244344
    119 rdf:type schema:CreativeWork
    120 https://doi.org/10.1016/j.jmr.2003.09.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044438039
    121 rdf:type schema:CreativeWork
    122 https://doi.org/10.1016/j.pnmrs.2007.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034257078
    123 rdf:type schema:CreativeWork
    124 https://doi.org/10.1016/j.pnmrs.2011.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052559064
    125 rdf:type schema:CreativeWork
    126 https://doi.org/10.1016/j.pnmrs.2013.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040628895
    127 rdf:type schema:CreativeWork
    128 https://doi.org/10.1016/s0926-860x(02)00064-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024573658
    129 rdf:type schema:CreativeWork
    130 https://doi.org/10.1021/ac00076a019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054970422
    131 rdf:type schema:CreativeWork
    132 https://doi.org/10.1021/ac0102866 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054992403
    133 rdf:type schema:CreativeWork
    134 https://doi.org/10.1021/ac062091+ schema:sameAs https://app.dimensions.ai/details/publication/pub.1054998851
    135 rdf:type schema:CreativeWork
    136 https://doi.org/10.1021/ie050789s schema:sameAs https://app.dimensions.ai/details/publication/pub.1055599238
    137 rdf:type schema:CreativeWork
    138 https://doi.org/10.1021/ma1006599 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056194086
    139 rdf:type schema:CreativeWork
    140 https://doi.org/10.1039/b009293m schema:sameAs https://app.dimensions.ai/details/publication/pub.1026217428
    141 rdf:type schema:CreativeWork
    142 https://doi.org/10.1039/b714266h schema:sameAs https://app.dimensions.ai/details/publication/pub.1040609038
    143 rdf:type schema:CreativeWork
    144 https://doi.org/10.1063/1.1675352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057751810
    145 rdf:type schema:CreativeWork
    146 https://doi.org/10.1063/1.1714248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057781922
    147 rdf:type schema:CreativeWork
    148 https://doi.org/10.1366/000370209789553156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065257884
    149 rdf:type schema:CreativeWork
    150 https://www.grid.ac/institutes/grid.71566.33 schema:alternateName Federal Institute For Materials Research and Testing
    151 schema:name BAM Federal Institute for Materials Research and Testing, Richard-Willstaetter-Str. 11, 12489, Berlin, Germany
    152 rdf:type schema:Organization
    153 https://www.grid.ac/institutes/grid.7892.4 schema:alternateName Karlsruhe Institute of Technology
    154 schema:name Pro²NMR, Institute of MVM and IBG2, Karlsruhe Institute of Technology (KIT), Adenauerring 20b, 76131, Karlsruhe, Germany
    155 rdf:type schema:Organization
     




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


    ...