Determination of organochlorine pesticides by GC-ECD and GC-MS-MS techniques including an evaluation of the uncertainty associated with the results View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2003-02

AUTHORS

A. Garrido Frenich, J. L. Martínez Vidal, M. Moreno Frías, F. Olea-Serrano, N. Olea, L. Cuadros Rodriguez

ABSTRACT

The pesticides lindane, vinclozolin, aldrin, p,p′DDE, o,p′DDT, p,p′DDT, methoxychlor, kepone and mirex, which are classifed as endocrine disrupters, have been analysed. This was conducted within an extensive hospital-based epidemiological study that includes surgically treated breast cancer patients and a matching group of women with no sign of estrogenic-dependent disease. Patients were from the Hospital Torrecardenas and living in agricultural areas of Almería (Spain). The results from the analysis of 100 serum samples were performed by gas chromatography (GC) with electron capture detection (ECD) and tandem mass spectrometry (MS-MS) detection mode. Performance characteristics, such as linearity, detection limit (LOD) and quantitation limit (LOQ), together with an estimate of measurement uncertainty (using validation data) is presented for each pesticide, in both chromatographic methods. The results obtained were compared. The advantage of MS-MS over ECD to determine endocrine disrupting compounds in complex matrix was also shown. p,p′DDE was the most frequently encountered pesticide, as well as the one found at higher concentration level. p,p′DDT was found in eight samples. Lindane was detected at low concentration level. While vinclozolin, aldrin, methoxychlor, kepone, o,p′DDT and mirex were absent in all samples analysed. More... »

PAGES

213-220

References to SciGraph publications

  • 1984-12. Polychlorinated biphenyl (PCB) partitioning between adipose tissue and serum in BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bf02491719

    DOI

    http://dx.doi.org/10.1007/bf02491719

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1052661867


    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/2008/0301", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Analytical Chemistry", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Chemical Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Almer\u00eda", 
              "id": "https://www.grid.ac/institutes/grid.28020.38", 
              "name": [
                "Department of Analytical Chemistry, University of Almer\u00eda, 04071, Almer\u00eda, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Garrido Frenich", 
            "givenName": "A.", 
            "id": "sg:person.0734067775.92", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734067775.92"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Almer\u00eda", 
              "id": "https://www.grid.ac/institutes/grid.28020.38", 
              "name": [
                "Department of Analytical Chemistry, University of Almer\u00eda, 04071, Almer\u00eda, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mart\u00ednez Vidal", 
            "givenName": "J. L.", 
            "id": "sg:person.01050316375.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050316375.74"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Almer\u00eda", 
              "id": "https://www.grid.ac/institutes/grid.28020.38", 
              "name": [
                "Department of Analytical Chemistry, University of Almer\u00eda, 04071, Almer\u00eda, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Moreno Fr\u00edas", 
            "givenName": "M.", 
            "id": "sg:person.011061245351.84", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011061245351.84"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Granada", 
              "id": "https://www.grid.ac/institutes/grid.4489.1", 
              "name": [
                "Department of Nutrition and Food Science, University of Granada, 18071, Granada, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Olea-Serrano", 
            "givenName": "F.", 
            "id": "sg:person.01202247255.24", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202247255.24"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Granada", 
              "id": "https://www.grid.ac/institutes/grid.4489.1", 
              "name": [
                "Department of Radiology, University of Granada, 18071, Granada, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Olea", 
            "givenName": "N.", 
            "id": "sg:person.01202734461.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202734461.04"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Granada", 
              "id": "https://www.grid.ac/institutes/grid.4489.1", 
              "name": [
                "Department of Analytical Chemistry, University of Granada, 18071, Granada, Spain"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cuadros Rodriguez", 
            "givenName": "L.", 
            "id": "sg:person.013536540500.67", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013536540500.67"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1080/10590508709380601", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002976714"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0013-9351(84)90072-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005640069"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00001648-199501000-00006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006622471"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00001648-199501000-00006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006622471"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/enrs.1994.1026", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009405921"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1097-0231(20000615)14:11<939::aid-rcm969>3.0.co;2-t", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018317843"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rspb.1975.0057", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018507240"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rspb.1975.0057", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018507240"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jat/5.1.6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024355315"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0013-9351(83)90176-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024670718"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0013-9351(82)90158-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026366848"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/oem.45.1.33", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030769034"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/oem.45.1.33", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030769034"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/1096-9888(200008)35:8<967::aid-jms24>3.0.co;2-v", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034772434"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/03067319908047309", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038804165"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0021-9673(99)01082-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039962812"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01625543", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046923481", 
              "https://doi.org/10.1007/bf01625543"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1055/s-0029-1211458", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057183959"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jnci/82.7.561", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059816371"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jnci/84.10.764", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059817189"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2105/ajph.77.10.1294", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068871819"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2105/ajph.85.4.504", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068875455"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3354/meps033167", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1071165441"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1076998764", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078475322", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082830063", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ajim.1983.4.1-2.163", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090448490"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2003-02", 
        "datePublishedReg": "2003-02-01", 
        "description": "The pesticides lindane, vinclozolin, aldrin, p,p\u2032DDE, o,p\u2032DDT, p,p\u2032DDT, methoxychlor, kepone and mirex, which are classifed as endocrine disrupters, have been analysed. This was conducted within an extensive hospital-based epidemiological study that includes surgically treated breast cancer patients and a matching group of women with no sign of estrogenic-dependent disease. Patients were from the Hospital Torrecardenas and living in agricultural areas of Almer\u00eda (Spain). The results from the analysis of 100 serum samples were performed by gas chromatography (GC) with electron capture detection (ECD) and tandem mass spectrometry (MS-MS) detection mode. Performance characteristics, such as linearity, detection limit (LOD) and quantitation limit (LOQ), together with an estimate of measurement uncertainty (using validation data) is presented for each pesticide, in both chromatographic methods. The results obtained were compared. The advantage of MS-MS over ECD to determine endocrine disrupting compounds in complex matrix was also shown. p,p\u2032DDE was the most frequently encountered pesticide, as well as the one found at higher concentration level. p,p\u2032DDT was found in eight samples. Lindane was detected at low concentration level. While vinclozolin, aldrin, methoxychlor, kepone, o,p\u2032DDT and mirex were absent in all samples analysed.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/bf02491719", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1015080", 
            "issn": [
              "0009-5893", 
              "1612-1112"
            ], 
            "name": "Chromatographia", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3-4", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "57"
          }
        ], 
        "name": "Determination of organochlorine pesticides by GC-ECD and GC-MS-MS techniques including an evaluation of the uncertainty associated with the results", 
        "pagination": "213-220", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "fad881043ea01086025fbd72ff85165bcb780297af842ea97fd4dd23b0f52f60"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/bf02491719"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1052661867"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/bf02491719", 
          "https://app.dimensions.ai/details/publication/pub.1052661867"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:35", 
        "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/v90/0000000370_0000000370/records_46775_00000002.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/BF02491719"
      }
    ]
     

    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/bf02491719'

    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/bf02491719'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02491719'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02491719'


     

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

    171 TRIPLES      21 PREDICATES      51 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/bf02491719 schema:about anzsrc-for:03
    2 anzsrc-for:0301
    3 schema:author Ne3931b8b4f1b4c01b887a28ba4e0930d
    4 schema:citation sg:pub.10.1007/bf01625543
    5 https://app.dimensions.ai/details/publication/pub.1076998764
    6 https://app.dimensions.ai/details/publication/pub.1078475322
    7 https://app.dimensions.ai/details/publication/pub.1082830063
    8 https://doi.org/10.1002/(sici)1097-0231(20000615)14:11<939::aid-rcm969>3.0.co;2-t
    9 https://doi.org/10.1002/1096-9888(200008)35:8<967::aid-jms24>3.0.co;2-v
    10 https://doi.org/10.1002/ajim.1983.4.1-2.163
    11 https://doi.org/10.1006/enrs.1994.1026
    12 https://doi.org/10.1016/0013-9351(82)90158-x
    13 https://doi.org/10.1016/0013-9351(83)90176-7
    14 https://doi.org/10.1016/0013-9351(84)90072-0
    15 https://doi.org/10.1016/s0021-9673(99)01082-1
    16 https://doi.org/10.1055/s-0029-1211458
    17 https://doi.org/10.1080/03067319908047309
    18 https://doi.org/10.1080/10590508709380601
    19 https://doi.org/10.1093/jat/5.1.6
    20 https://doi.org/10.1093/jnci/82.7.561
    21 https://doi.org/10.1093/jnci/84.10.764
    22 https://doi.org/10.1097/00001648-199501000-00006
    23 https://doi.org/10.1098/rspb.1975.0057
    24 https://doi.org/10.1136/oem.45.1.33
    25 https://doi.org/10.2105/ajph.77.10.1294
    26 https://doi.org/10.2105/ajph.85.4.504
    27 https://doi.org/10.3354/meps033167
    28 schema:datePublished 2003-02
    29 schema:datePublishedReg 2003-02-01
    30 schema:description The pesticides lindane, vinclozolin, aldrin, p,p′DDE, o,p′DDT, p,p′DDT, methoxychlor, kepone and mirex, which are classifed as endocrine disrupters, have been analysed. This was conducted within an extensive hospital-based epidemiological study that includes surgically treated breast cancer patients and a matching group of women with no sign of estrogenic-dependent disease. Patients were from the Hospital Torrecardenas and living in agricultural areas of Almería (Spain). The results from the analysis of 100 serum samples were performed by gas chromatography (GC) with electron capture detection (ECD) and tandem mass spectrometry (MS-MS) detection mode. Performance characteristics, such as linearity, detection limit (LOD) and quantitation limit (LOQ), together with an estimate of measurement uncertainty (using validation data) is presented for each pesticide, in both chromatographic methods. The results obtained were compared. The advantage of MS-MS over ECD to determine endocrine disrupting compounds in complex matrix was also shown. p,p′DDE was the most frequently encountered pesticide, as well as the one found at higher concentration level. p,p′DDT was found in eight samples. Lindane was detected at low concentration level. While vinclozolin, aldrin, methoxychlor, kepone, o,p′DDT and mirex were absent in all samples analysed.
    31 schema:genre research_article
    32 schema:inLanguage en
    33 schema:isAccessibleForFree false
    34 schema:isPartOf N3b193b28b0f4462ab4d9812474284a58
    35 Nd3ad7744d814499c8ee3b1bef0a3a08a
    36 sg:journal.1015080
    37 schema:name Determination of organochlorine pesticides by GC-ECD and GC-MS-MS techniques including an evaluation of the uncertainty associated with the results
    38 schema:pagination 213-220
    39 schema:productId N3b2aa759465a4568b9454b9a00f247b7
    40 N70e06e9363544adc812b6565f603d10a
    41 N8182248c586f4c8b883e099d57d1a8fc
    42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052661867
    43 https://doi.org/10.1007/bf02491719
    44 schema:sdDatePublished 2019-04-11T13:35
    45 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    46 schema:sdPublisher N1dca6ce5e88b462cbd62dbe4303847f1
    47 schema:url http://link.springer.com/10.1007/BF02491719
    48 sgo:license sg:explorer/license/
    49 sgo:sdDataset articles
    50 rdf:type schema:ScholarlyArticle
    51 N1dca6ce5e88b462cbd62dbe4303847f1 schema:name Springer Nature - SN SciGraph project
    52 rdf:type schema:Organization
    53 N3b193b28b0f4462ab4d9812474284a58 schema:issueNumber 3-4
    54 rdf:type schema:PublicationIssue
    55 N3b2aa759465a4568b9454b9a00f247b7 schema:name doi
    56 schema:value 10.1007/bf02491719
    57 rdf:type schema:PropertyValue
    58 N3ca46460dede4502a76e779965a212bb rdf:first sg:person.01202247255.24
    59 rdf:rest Nd71dbc9f03084640817bbee85b1162fd
    60 N70e06e9363544adc812b6565f603d10a schema:name readcube_id
    61 schema:value fad881043ea01086025fbd72ff85165bcb780297af842ea97fd4dd23b0f52f60
    62 rdf:type schema:PropertyValue
    63 N79dbc6aa8df343a2983b5d41e9264d85 rdf:first sg:person.013536540500.67
    64 rdf:rest rdf:nil
    65 N8182248c586f4c8b883e099d57d1a8fc schema:name dimensions_id
    66 schema:value pub.1052661867
    67 rdf:type schema:PropertyValue
    68 N98123f77bede49f5ae72b82f972afeee rdf:first sg:person.011061245351.84
    69 rdf:rest N3ca46460dede4502a76e779965a212bb
    70 N9aff53c014cd4fcaa606278c4d76beac rdf:first sg:person.01050316375.74
    71 rdf:rest N98123f77bede49f5ae72b82f972afeee
    72 Nd3ad7744d814499c8ee3b1bef0a3a08a schema:volumeNumber 57
    73 rdf:type schema:PublicationVolume
    74 Nd71dbc9f03084640817bbee85b1162fd rdf:first sg:person.01202734461.04
    75 rdf:rest N79dbc6aa8df343a2983b5d41e9264d85
    76 Ne3931b8b4f1b4c01b887a28ba4e0930d rdf:first sg:person.0734067775.92
    77 rdf:rest N9aff53c014cd4fcaa606278c4d76beac
    78 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
    79 schema:name Chemical Sciences
    80 rdf:type schema:DefinedTerm
    81 anzsrc-for:0301 schema:inDefinedTermSet anzsrc-for:
    82 schema:name Analytical Chemistry
    83 rdf:type schema:DefinedTerm
    84 sg:journal.1015080 schema:issn 0009-5893
    85 1612-1112
    86 schema:name Chromatographia
    87 rdf:type schema:Periodical
    88 sg:person.01050316375.74 schema:affiliation https://www.grid.ac/institutes/grid.28020.38
    89 schema:familyName Martínez Vidal
    90 schema:givenName J. L.
    91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050316375.74
    92 rdf:type schema:Person
    93 sg:person.011061245351.84 schema:affiliation https://www.grid.ac/institutes/grid.28020.38
    94 schema:familyName Moreno Frías
    95 schema:givenName M.
    96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011061245351.84
    97 rdf:type schema:Person
    98 sg:person.01202247255.24 schema:affiliation https://www.grid.ac/institutes/grid.4489.1
    99 schema:familyName Olea-Serrano
    100 schema:givenName F.
    101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202247255.24
    102 rdf:type schema:Person
    103 sg:person.01202734461.04 schema:affiliation https://www.grid.ac/institutes/grid.4489.1
    104 schema:familyName Olea
    105 schema:givenName N.
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202734461.04
    107 rdf:type schema:Person
    108 sg:person.013536540500.67 schema:affiliation https://www.grid.ac/institutes/grid.4489.1
    109 schema:familyName Cuadros Rodriguez
    110 schema:givenName L.
    111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013536540500.67
    112 rdf:type schema:Person
    113 sg:person.0734067775.92 schema:affiliation https://www.grid.ac/institutes/grid.28020.38
    114 schema:familyName Garrido Frenich
    115 schema:givenName A.
    116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734067775.92
    117 rdf:type schema:Person
    118 sg:pub.10.1007/bf01625543 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046923481
    119 https://doi.org/10.1007/bf01625543
    120 rdf:type schema:CreativeWork
    121 https://app.dimensions.ai/details/publication/pub.1076998764 schema:CreativeWork
    122 https://app.dimensions.ai/details/publication/pub.1078475322 schema:CreativeWork
    123 https://app.dimensions.ai/details/publication/pub.1082830063 schema:CreativeWork
    124 https://doi.org/10.1002/(sici)1097-0231(20000615)14:11<939::aid-rcm969>3.0.co;2-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1018317843
    125 rdf:type schema:CreativeWork
    126 https://doi.org/10.1002/1096-9888(200008)35:8<967::aid-jms24>3.0.co;2-v schema:sameAs https://app.dimensions.ai/details/publication/pub.1034772434
    127 rdf:type schema:CreativeWork
    128 https://doi.org/10.1002/ajim.1983.4.1-2.163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090448490
    129 rdf:type schema:CreativeWork
    130 https://doi.org/10.1006/enrs.1994.1026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009405921
    131 rdf:type schema:CreativeWork
    132 https://doi.org/10.1016/0013-9351(82)90158-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1026366848
    133 rdf:type schema:CreativeWork
    134 https://doi.org/10.1016/0013-9351(83)90176-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024670718
    135 rdf:type schema:CreativeWork
    136 https://doi.org/10.1016/0013-9351(84)90072-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005640069
    137 rdf:type schema:CreativeWork
    138 https://doi.org/10.1016/s0021-9673(99)01082-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039962812
    139 rdf:type schema:CreativeWork
    140 https://doi.org/10.1055/s-0029-1211458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057183959
    141 rdf:type schema:CreativeWork
    142 https://doi.org/10.1080/03067319908047309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038804165
    143 rdf:type schema:CreativeWork
    144 https://doi.org/10.1080/10590508709380601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002976714
    145 rdf:type schema:CreativeWork
    146 https://doi.org/10.1093/jat/5.1.6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024355315
    147 rdf:type schema:CreativeWork
    148 https://doi.org/10.1093/jnci/82.7.561 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059816371
    149 rdf:type schema:CreativeWork
    150 https://doi.org/10.1093/jnci/84.10.764 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059817189
    151 rdf:type schema:CreativeWork
    152 https://doi.org/10.1097/00001648-199501000-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006622471
    153 rdf:type schema:CreativeWork
    154 https://doi.org/10.1098/rspb.1975.0057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018507240
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1136/oem.45.1.33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030769034
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.2105/ajph.77.10.1294 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068871819
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.2105/ajph.85.4.504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068875455
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.3354/meps033167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071165441
    163 rdf:type schema:CreativeWork
    164 https://www.grid.ac/institutes/grid.28020.38 schema:alternateName University of Almería
    165 schema:name Department of Analytical Chemistry, University of Almería, 04071, Almería, Spain
    166 rdf:type schema:Organization
    167 https://www.grid.ac/institutes/grid.4489.1 schema:alternateName University of Granada
    168 schema:name Department of Analytical Chemistry, University of Granada, 18071, Granada, Spain
    169 Department of Nutrition and Food Science, University of Granada, 18071, Granada, Spain
    170 Department of Radiology, University of Granada, 18071, Granada, Spain
    171 rdf:type schema:Organization
     




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


    ...