A two-dimensional quadrupole ion trap mass spectrometer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2002-06

AUTHORS

Jae C. Schwartz, Michael W. Senko, John E. P. Syka

ABSTRACT

The use of a linear or two-dimensional (2-D) quadrupole ion trap as a high performance mass spectrometer is demonstrated. Mass analysis is performed by ejecting ions out a slot in one of the rods using the mass selective instability mode of operation. Resonance ejection and excitation are utilized to enhance mass analysis and to allow isolation and activation of ions for MS(n) capability. Improved trapping efficiency and increased ion capacity are observed relative to a three-dimensional (3-D) ion trap with similar mass range. Mass resolution comparable to 3-D traps is readily achieved, including high resolution at slower scan rates, although adequate mechanical tolerance of the trap structure is a requirement. Additional advantages of 2-D over 3-D ion traps are also discussed and demonstrated. More... »

PAGES

659-669

References to SciGraph publications

Related Patents

  • Adjusting Field Conditions In Linear Ion Processing Apparatus For Different Modes Of Operation
  • High-Resolution Ion Trap Mass Spectrometer
  • Stacked Well Ion Trap
  • Tandem Ion-Trap Time-Of-Flight Mass Spectrometer
  • Methods Of Calibrating And Operating An Ion Trap Mass Analyzer To Optimize Mass Spectral Peak Characteristics
  • Miniature Toroidal Radio Frequency Ion Trap Mass Analyzer
  • Method Of Avoiding Space Charge Saturation Effects In An Ion Trap
  • Desorption Electrospray Ionization Sampling Without Damaging An In Vivo Tissue Sample
  • Method To Perform Beam-Type Collision-Activated Dissociation In The Pre-Existing Ion Injection Pathway Of A Mass Spectrometer
  • Rotating Excitation Field In Linear Ion Processing Apparatus
  • Methods And Systems For Quantitative Mass Analysis
  • Method To Perform Beam-Type Collision-Activated Dissociation In The Pre-Existing Ion Injection Pathway Of A Mass Spectrometer
  • Microfabricated Linear Paul-Straubel Ion Trap
  • Method To Perform Beam-Type Collision-Activated Dissociation In The Pre-Existing Ion Injection Pathway Of A Mass Spectrometer
  • Increasing Ion Kinetic Energy Along Axis Of Linear Ion Processing Devices
  • Mass Spectrometer
  • Radio-Frequency-Free Hybrid Electrostatic/Magnetostatic Cell For Transporting, Trapping, And Dissociating Ions In Mass Spectrometers
  • Methods And Compositions For Combining Ions And Charged Particles
  • Linear Ion Trap For Mass Spectrometry
  • Mass Spectrometer
  • Two-Dimensional Electrode Constructions For Ion Processing
  • Methods And Apparatus For Calibrating Ion Trap Mass Spectrometers
  • Radio-Frequency-Free Hybrid Electrostatic/Magnetostatic Cell For Transporting, Trapping, And Dissociating Ions In Mass Spectrometers
  • Ion Trap Mass Spectrometers
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1016/s1044-0305(02)00384-7

    DOI

    http://dx.doi.org/10.1016/s1044-0305(02)00384-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1027581145

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/12056566


    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": {
              "name": [
                "LC and LC/MS Division, Thermo Finnigan, San Jose, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Schwartz", 
            "givenName": "Jae C.", 
            "id": "sg:person.01337406156.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01337406156.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "LC and LC/MS Division, Thermo Finnigan, San Jose, CA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Senko", 
            "givenName": "Michael W.", 
            "id": "sg:person.01051352002.63", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051352002.63"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "LC and LC/MS Division, Thermo Finnigan, Charlottesville, VA, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Syka", 
            "givenName": "John E. P.", 
            "id": "sg:person.0665612413.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665612413.10"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s0003-2670(00)82582-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004343527"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/357310a0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004991385", 
              "https://doi.org/10.1038/357310a0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0009-2614(92)85400-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008016996"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0168-1176(88)80001-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009956462"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0168-1176(91)85021-d", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016228497"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/1044-0305(91)80044-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022669961", 
              "https://doi.org/10.1016/1044-0305(91)80044-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/1044-0305(91)80044-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022669961", 
              "https://doi.org/10.1016/1044-0305(91)80044-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/rcm.607", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027656294"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1387-3806(98)14268-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028323265"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1097-0231(19981030)12:20<1463::aid-rcm357>3.0.co;2-h", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029050668"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0168-1176(84)80077-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029050799"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/rcm.440", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033511072"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/rcm.1290060419", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035340983"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/rcm.1290060419", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035340983"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1097-0231(19981215)12:23<1957::aid-rcm418>3.0.co;2-m", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040406230"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/rcm.1290080910", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045740052"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/rcm.1290080910", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045740052"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/s1044-0305(97)00126-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048198254", 
              "https://doi.org/10.1016/s1044-0305(97)00126-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0168-1176(89)85010-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050436166"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0168-1176(97)00251-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051885201"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac00026a016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054966947"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac0004862", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054968477"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac0004862", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054968477"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac000633w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054969513"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac000633w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054969513"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.343486", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057951520"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2002-06", 
        "datePublishedReg": "2002-06-01", 
        "description": "The use of a linear or two-dimensional (2-D) quadrupole ion trap as a high performance mass spectrometer is demonstrated. Mass analysis is performed by ejecting ions out a slot in one of the rods using the mass selective instability mode of operation. Resonance ejection and excitation are utilized to enhance mass analysis and to allow isolation and activation of ions for MS(n) capability. Improved trapping efficiency and increased ion capacity are observed relative to a three-dimensional (3-D) ion trap with similar mass range. Mass resolution comparable to 3-D traps is readily achieved, including high resolution at slower scan rates, although adequate mechanical tolerance of the trap structure is a requirement. Additional advantages of 2-D over 3-D ion traps are also discussed and demonstrated.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1016/s1044-0305(02)00384-7", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1100508", 
            "issn": [
              "1044-0305", 
              "1879-1123"
            ], 
            "name": "Journal of The American Society for Mass Spectrometry", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "6", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "13"
          }
        ], 
        "name": "A two-dimensional quadrupole ion trap mass spectrometer", 
        "pagination": "659-669", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "8363c8ffc71e5b5738f0fa3d429a6ff106e117b85f13d831ee6d4ffe3881cf5f"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "12056566"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9010412"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1016/s1044-0305(02)00384-7"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1027581145"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1016/s1044-0305(02)00384-7", 
          "https://app.dimensions.ai/details/publication/pub.1027581145"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T21:34", 
        "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_00000500.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1016/S1044-0305(02)00384-7"
      }
    ]
     

    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.10.1016/s1044-0305(02)00384-7'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1016/s1044-0305(02)00384-7'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1016/s1044-0305(02)00384-7'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1016/s1044-0305(02)00384-7'


     

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

    152 TRIPLES      21 PREDICATES      50 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1016/s1044-0305(02)00384-7 schema:about anzsrc-for:02
    2 anzsrc-for:0299
    3 schema:author N86d79ba2d59240e694147399271b65b3
    4 schema:citation sg:pub.10.1016/1044-0305(91)80044-8
    5 sg:pub.10.1016/s1044-0305(97)00126-8
    6 sg:pub.10.1038/357310a0
    7 https://doi.org/10.1002/(sici)1097-0231(19981030)12:20<1463::aid-rcm357>3.0.co;2-h
    8 https://doi.org/10.1002/(sici)1097-0231(19981215)12:23<1957::aid-rcm418>3.0.co;2-m
    9 https://doi.org/10.1002/rcm.1290060419
    10 https://doi.org/10.1002/rcm.1290080910
    11 https://doi.org/10.1002/rcm.440
    12 https://doi.org/10.1002/rcm.607
    13 https://doi.org/10.1016/0009-2614(92)85400-5
    14 https://doi.org/10.1016/0168-1176(84)80077-4
    15 https://doi.org/10.1016/0168-1176(88)80001-6
    16 https://doi.org/10.1016/0168-1176(89)85010-4
    17 https://doi.org/10.1016/0168-1176(91)85021-d
    18 https://doi.org/10.1016/s0003-2670(00)82582-9
    19 https://doi.org/10.1016/s0168-1176(97)00251-6
    20 https://doi.org/10.1016/s1387-3806(98)14268-9
    21 https://doi.org/10.1021/ac00026a016
    22 https://doi.org/10.1021/ac0004862
    23 https://doi.org/10.1021/ac000633w
    24 https://doi.org/10.1063/1.343486
    25 schema:datePublished 2002-06
    26 schema:datePublishedReg 2002-06-01
    27 schema:description The use of a linear or two-dimensional (2-D) quadrupole ion trap as a high performance mass spectrometer is demonstrated. Mass analysis is performed by ejecting ions out a slot in one of the rods using the mass selective instability mode of operation. Resonance ejection and excitation are utilized to enhance mass analysis and to allow isolation and activation of ions for MS(n) capability. Improved trapping efficiency and increased ion capacity are observed relative to a three-dimensional (3-D) ion trap with similar mass range. Mass resolution comparable to 3-D traps is readily achieved, including high resolution at slower scan rates, although adequate mechanical tolerance of the trap structure is a requirement. Additional advantages of 2-D over 3-D ion traps are also discussed and demonstrated.
    28 schema:genre research_article
    29 schema:inLanguage en
    30 schema:isAccessibleForFree true
    31 schema:isPartOf Nb19d359fe66743c0b2efeef3bc3e2413
    32 Ne9d709b503324e1ba1535d305d817a99
    33 sg:journal.1100508
    34 schema:name A two-dimensional quadrupole ion trap mass spectrometer
    35 schema:pagination 659-669
    36 schema:productId N1c6569cecf8546f1879b21d23507f684
    37 N5246c75e632046f6a9ccde7666fed617
    38 N542c707bd6f24eff9f30a5ead2f57326
    39 N79a695635cb640c2bc2dfccce8b5e915
    40 Neb0089acada64100a1fcc9e17c04658f
    41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027581145
    42 https://doi.org/10.1016/s1044-0305(02)00384-7
    43 schema:sdDatePublished 2019-04-10T21:34
    44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    45 schema:sdPublisher N3f78fe6ab3754bb8b95717b7d3ae6663
    46 schema:url http://link.springer.com/10.1016/S1044-0305(02)00384-7
    47 sgo:license sg:explorer/license/
    48 sgo:sdDataset articles
    49 rdf:type schema:ScholarlyArticle
    50 N02de4163c9c24bbdaa9fa34eb6664677 rdf:first sg:person.01051352002.63
    51 rdf:rest N6fd677451bf44ce59f42d74df5c36c1e
    52 N1c6569cecf8546f1879b21d23507f684 schema:name doi
    53 schema:value 10.1016/s1044-0305(02)00384-7
    54 rdf:type schema:PropertyValue
    55 N3f78fe6ab3754bb8b95717b7d3ae6663 schema:name Springer Nature - SN SciGraph project
    56 rdf:type schema:Organization
    57 N5246c75e632046f6a9ccde7666fed617 schema:name nlm_unique_id
    58 schema:value 9010412
    59 rdf:type schema:PropertyValue
    60 N5337d834095b4bc38185f9969971d743 schema:name LC and LC/MS Division, Thermo Finnigan, San Jose, CA, USA
    61 rdf:type schema:Organization
    62 N542c707bd6f24eff9f30a5ead2f57326 schema:name readcube_id
    63 schema:value 8363c8ffc71e5b5738f0fa3d429a6ff106e117b85f13d831ee6d4ffe3881cf5f
    64 rdf:type schema:PropertyValue
    65 N6fd677451bf44ce59f42d74df5c36c1e rdf:first sg:person.0665612413.10
    66 rdf:rest rdf:nil
    67 N79a695635cb640c2bc2dfccce8b5e915 schema:name pubmed_id
    68 schema:value 12056566
    69 rdf:type schema:PropertyValue
    70 N86d79ba2d59240e694147399271b65b3 rdf:first sg:person.01337406156.83
    71 rdf:rest N02de4163c9c24bbdaa9fa34eb6664677
    72 Nb19d359fe66743c0b2efeef3bc3e2413 schema:issueNumber 6
    73 rdf:type schema:PublicationIssue
    74 Ndb5f58b19cb04456b2304f9b36ea14d4 schema:name LC and LC/MS Division, Thermo Finnigan, Charlottesville, VA, USA
    75 rdf:type schema:Organization
    76 Ne85d6967197e4edf9a117162adcb035d schema:name LC and LC/MS Division, Thermo Finnigan, San Jose, CA, USA
    77 rdf:type schema:Organization
    78 Ne9d709b503324e1ba1535d305d817a99 schema:volumeNumber 13
    79 rdf:type schema:PublicationVolume
    80 Neb0089acada64100a1fcc9e17c04658f schema:name dimensions_id
    81 schema:value pub.1027581145
    82 rdf:type schema:PropertyValue
    83 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
    84 schema:name Physical Sciences
    85 rdf:type schema:DefinedTerm
    86 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
    87 schema:name Other Physical Sciences
    88 rdf:type schema:DefinedTerm
    89 sg:journal.1100508 schema:issn 1044-0305
    90 1879-1123
    91 schema:name Journal of The American Society for Mass Spectrometry
    92 rdf:type schema:Periodical
    93 sg:person.01051352002.63 schema:affiliation N5337d834095b4bc38185f9969971d743
    94 schema:familyName Senko
    95 schema:givenName Michael W.
    96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051352002.63
    97 rdf:type schema:Person
    98 sg:person.01337406156.83 schema:affiliation Ne85d6967197e4edf9a117162adcb035d
    99 schema:familyName Schwartz
    100 schema:givenName Jae C.
    101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01337406156.83
    102 rdf:type schema:Person
    103 sg:person.0665612413.10 schema:affiliation Ndb5f58b19cb04456b2304f9b36ea14d4
    104 schema:familyName Syka
    105 schema:givenName John E. P.
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665612413.10
    107 rdf:type schema:Person
    108 sg:pub.10.1016/1044-0305(91)80044-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022669961
    109 https://doi.org/10.1016/1044-0305(91)80044-8
    110 rdf:type schema:CreativeWork
    111 sg:pub.10.1016/s1044-0305(97)00126-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048198254
    112 https://doi.org/10.1016/s1044-0305(97)00126-8
    113 rdf:type schema:CreativeWork
    114 sg:pub.10.1038/357310a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004991385
    115 https://doi.org/10.1038/357310a0
    116 rdf:type schema:CreativeWork
    117 https://doi.org/10.1002/(sici)1097-0231(19981030)12:20<1463::aid-rcm357>3.0.co;2-h schema:sameAs https://app.dimensions.ai/details/publication/pub.1029050668
    118 rdf:type schema:CreativeWork
    119 https://doi.org/10.1002/(sici)1097-0231(19981215)12:23<1957::aid-rcm418>3.0.co;2-m schema:sameAs https://app.dimensions.ai/details/publication/pub.1040406230
    120 rdf:type schema:CreativeWork
    121 https://doi.org/10.1002/rcm.1290060419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035340983
    122 rdf:type schema:CreativeWork
    123 https://doi.org/10.1002/rcm.1290080910 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045740052
    124 rdf:type schema:CreativeWork
    125 https://doi.org/10.1002/rcm.440 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033511072
    126 rdf:type schema:CreativeWork
    127 https://doi.org/10.1002/rcm.607 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027656294
    128 rdf:type schema:CreativeWork
    129 https://doi.org/10.1016/0009-2614(92)85400-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008016996
    130 rdf:type schema:CreativeWork
    131 https://doi.org/10.1016/0168-1176(84)80077-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029050799
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1016/0168-1176(88)80001-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009956462
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1016/0168-1176(89)85010-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050436166
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1016/0168-1176(91)85021-d schema:sameAs https://app.dimensions.ai/details/publication/pub.1016228497
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1016/s0003-2670(00)82582-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004343527
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1016/s0168-1176(97)00251-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051885201
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1016/s1387-3806(98)14268-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028323265
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.1021/ac00026a016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054966947
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.1021/ac0004862 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054968477
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.1021/ac000633w schema:sameAs https://app.dimensions.ai/details/publication/pub.1054969513
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.1063/1.343486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057951520
    152 rdf:type schema:CreativeWork
     




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


    ...