Analysis of vegetable oils for flavor quality by direct gas chromatography View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1977-10

AUTHORS

H. P. Dupuy, E. T. Rayner, J. I. Wadsworth, M. G. Legendre

ABSTRACT

and SummaryRecently, a direct gas Chromatographic method for examining volatiles in vegetable oils was reported [Dupuy et al., JAOCS 50:340 (1973); and Dupuy et al., Ibid. 53:628 (1976)]. The procedure stimulated the development of instrumental techniques for determining odor and flavor characteristics of vegetable oils. This symposium paper describes modifications of the original direct gas Chromatographie procedure that substantially enhance its sensitivity and applicability. Profiles of volatiles for several experimental oils obtained by the modified system are presented, together with mass spectral data characterizing significant flavor-related peaks. Regression analysis of the instrumental data, with oil flavor scores, indicates that reliable flavor characteristics of high- and low-quality vegetable oils may be obtained rapidly and efficiently by instrumentation. More... »

PAGES

445-449

References to SciGraph publications

  • 1976-10. Correlations of flavor score with volatiles of vegetable oils in JOURNAL OF THE AMERICAN OIL CHEMISTS' SOCIETY
  • 1970-10. Tandem gas chromatography-mass spectrometry analysis of volatiles from soybean oil in JOURNAL OF THE AMERICAN OIL CHEMISTS' SOCIETY
  • 1973-09. Direct gas chromatographic examination of volatiles in salad oils and shortenings in JOURNAL OF THE AMERICAN OIL CHEMISTS' SOCIETY
  • 1961-12. A new technique for the isolation of flavor components from fats and oils in JOURNAL OF THE AMERICAN OIL CHEMISTS' SOCIETY
  • 1976-10. Improvement of the direct GC analysis of vegetable oils’ volatile profile by a poly MPE-tenax GC column in JOURNAL OF THE AMERICAN OIL CHEMISTS' SOCIETY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bf02671032

    DOI

    http://dx.doi.org/10.1007/bf02671032

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1027463354


    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/2008/09", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0904", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Chemical Engineering", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "ARS, USDA, Southern Regional Research Center, PO Box 19687, 70179, New Orleans, LA", 
              "id": "http://www.grid.ac/institutes/grid.507314.4", 
              "name": [
                "ARS, USDA, Southern Regional Research Center, PO Box 19687, 70179, New Orleans, LA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dupuy", 
            "givenName": "H. P.", 
            "id": "sg:person.013743517741.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013743517741.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "ARS, USDA, Southern Regional Research Center, PO Box 19687, 70179, New Orleans, LA", 
              "id": "http://www.grid.ac/institutes/grid.507314.4", 
              "name": [
                "ARS, USDA, Southern Regional Research Center, PO Box 19687, 70179, New Orleans, LA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rayner", 
            "givenName": "E. T.", 
            "id": "sg:person.014146210101.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014146210101.56"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "ARS, USDA, Southern Regional Research Center, PO Box 19687, 70179, New Orleans, LA", 
              "id": "http://www.grid.ac/institutes/grid.507314.4", 
              "name": [
                "ARS, USDA, Southern Regional Research Center, PO Box 19687, 70179, New Orleans, LA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wadsworth", 
            "givenName": "J. I.", 
            "id": "sg:person.014254346507.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014254346507.47"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "ARS, USDA, Southern Regional Research Center, PO Box 19687, 70179, New Orleans, LA", 
              "id": "http://www.grid.ac/institutes/grid.507314.4", 
              "name": [
                "ARS, USDA, Southern Regional Research Center, PO Box 19687, 70179, New Orleans, LA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Legendre", 
            "givenName": "M. G.", 
            "id": "sg:person.010601035321.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010601035321.96"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/bf02586275", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030990629", 
              "https://doi.org/10.1007/bf02586275"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02632473", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028916743", 
              "https://doi.org/10.1007/bf02632473"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02633050", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022596545", 
              "https://doi.org/10.1007/bf02633050"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02586277", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004203395", 
              "https://doi.org/10.1007/bf02586277"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02640835", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002968523", 
              "https://doi.org/10.1007/bf02640835"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "1977-10", 
        "datePublishedReg": "1977-10-01", 
        "description": "Abstract and SummaryRecently, a direct gas Chromatographic method for examining volatiles in vegetable oils was reported [Dupuy et al., JAOCS 50:340 (1973); and Dupuy et al., Ibid. 53:628 (1976)]. The procedure stimulated the development of instrumental techniques for determining odor and flavor characteristics of vegetable oils. This symposium paper describes modifications of the original direct gas Chromatographie procedure that substantially enhance its sensitivity and applicability. Profiles of volatiles for several experimental oils obtained by the modified system are presented, together with mass spectral data characterizing significant flavor-related peaks. Regression analysis of the instrumental data, with oil flavor scores, indicates that reliable flavor characteristics of high- and low-quality vegetable oils may be obtained rapidly and efficiently by instrumentation.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/bf02671032", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1082739", 
            "issn": [
              "0003-021X", 
              "1558-9331"
            ], 
            "name": "Journal of the American Oil Chemists' Society", 
            "publisher": "Wiley", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "10", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "54"
          }
        ], 
        "keywords": [
          "direct gas chromatographic method", 
          "direct gas chromatography", 
          "mass spectral data", 
          "vegetable oils", 
          "low-quality vegetable oils", 
          "gas chromatographic method", 
          "instrumental techniques", 
          "gas chromatography", 
          "chromatographic method", 
          "spectral data", 
          "profile of volatiles", 
          "flavor characteristics", 
          "oil", 
          "flavor quality", 
          "chromatography", 
          "volatiles", 
          "modification", 
          "modified system", 
          "peak", 
          "flavor scores", 
          "experimental oils", 
          "instrumentation", 
          "applicability", 
          "odor", 
          "analysis", 
          "technique", 
          "sensitivity", 
          "method", 
          "procedure", 
          "characteristics", 
          "profile", 
          "system", 
          "development", 
          "data", 
          "instrumental data", 
          "Abstract", 
          "symposium papers", 
          "paper", 
          "quality", 
          "regression analysis", 
          "scores", 
          "SummaryRecently"
        ], 
        "name": "Analysis of vegetable oils for flavor quality by direct gas chromatography", 
        "pagination": "445-449", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1027463354"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/bf02671032"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/bf02671032", 
          "https://app.dimensions.ai/details/publication/pub.1027463354"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-08-04T16:49", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_151.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/bf02671032"
      }
    ]
     

    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/bf02671032'

    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/bf02671032'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02671032'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02671032'


     

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

    140 TRIPLES      21 PREDICATES      72 URIs      59 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/bf02671032 schema:about anzsrc-for:09
    2 anzsrc-for:0904
    3 schema:author N33cabba3d75c4f3cab9e0537abe4fa7d
    4 schema:citation sg:pub.10.1007/bf02586275
    5 sg:pub.10.1007/bf02586277
    6 sg:pub.10.1007/bf02632473
    7 sg:pub.10.1007/bf02633050
    8 sg:pub.10.1007/bf02640835
    9 schema:datePublished 1977-10
    10 schema:datePublishedReg 1977-10-01
    11 schema:description Abstract and SummaryRecently, a direct gas Chromatographic method for examining volatiles in vegetable oils was reported [Dupuy et al., JAOCS 50:340 (1973); and Dupuy et al., Ibid. 53:628 (1976)]. The procedure stimulated the development of instrumental techniques for determining odor and flavor characteristics of vegetable oils. This symposium paper describes modifications of the original direct gas Chromatographie procedure that substantially enhance its sensitivity and applicability. Profiles of volatiles for several experimental oils obtained by the modified system are presented, together with mass spectral data characterizing significant flavor-related peaks. Regression analysis of the instrumental data, with oil flavor scores, indicates that reliable flavor characteristics of high- and low-quality vegetable oils may be obtained rapidly and efficiently by instrumentation.
    12 schema:genre article
    13 schema:isAccessibleForFree false
    14 schema:isPartOf N185c2daebf7c41088c5363d4e56e14b0
    15 Nb97071ea3a8044e582b92d8ff1a3069b
    16 sg:journal.1082739
    17 schema:keywords Abstract
    18 SummaryRecently
    19 analysis
    20 applicability
    21 characteristics
    22 chromatographic method
    23 chromatography
    24 data
    25 development
    26 direct gas chromatographic method
    27 direct gas chromatography
    28 experimental oils
    29 flavor characteristics
    30 flavor quality
    31 flavor scores
    32 gas chromatographic method
    33 gas chromatography
    34 instrumental data
    35 instrumental techniques
    36 instrumentation
    37 low-quality vegetable oils
    38 mass spectral data
    39 method
    40 modification
    41 modified system
    42 odor
    43 oil
    44 paper
    45 peak
    46 procedure
    47 profile
    48 profile of volatiles
    49 quality
    50 regression analysis
    51 scores
    52 sensitivity
    53 spectral data
    54 symposium papers
    55 system
    56 technique
    57 vegetable oils
    58 volatiles
    59 schema:name Analysis of vegetable oils for flavor quality by direct gas chromatography
    60 schema:pagination 445-449
    61 schema:productId N146d73b5db8c45959a3f36c1a4bfce11
    62 N63bbb9d7d29f41e4ab010edb3e2167a7
    63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027463354
    64 https://doi.org/10.1007/bf02671032
    65 schema:sdDatePublished 2022-08-04T16:49
    66 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    67 schema:sdPublisher Nc6d18fdc9b8a4bc7b5a4e8a23928b3c4
    68 schema:url https://doi.org/10.1007/bf02671032
    69 sgo:license sg:explorer/license/
    70 sgo:sdDataset articles
    71 rdf:type schema:ScholarlyArticle
    72 N146d73b5db8c45959a3f36c1a4bfce11 schema:name doi
    73 schema:value 10.1007/bf02671032
    74 rdf:type schema:PropertyValue
    75 N185c2daebf7c41088c5363d4e56e14b0 schema:volumeNumber 54
    76 rdf:type schema:PublicationVolume
    77 N2a22faaf69474e809f3b30a6032b9e6c rdf:first sg:person.014254346507.47
    78 rdf:rest Nea53055a682943cf8e9a1000360993c0
    79 N32e5c96ec9854adeb992681bbf0a7e51 rdf:first sg:person.014146210101.56
    80 rdf:rest N2a22faaf69474e809f3b30a6032b9e6c
    81 N33cabba3d75c4f3cab9e0537abe4fa7d rdf:first sg:person.013743517741.18
    82 rdf:rest N32e5c96ec9854adeb992681bbf0a7e51
    83 N63bbb9d7d29f41e4ab010edb3e2167a7 schema:name dimensions_id
    84 schema:value pub.1027463354
    85 rdf:type schema:PropertyValue
    86 Nb97071ea3a8044e582b92d8ff1a3069b schema:issueNumber 10
    87 rdf:type schema:PublicationIssue
    88 Nc6d18fdc9b8a4bc7b5a4e8a23928b3c4 schema:name Springer Nature - SN SciGraph project
    89 rdf:type schema:Organization
    90 Nea53055a682943cf8e9a1000360993c0 rdf:first sg:person.010601035321.96
    91 rdf:rest rdf:nil
    92 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
    93 schema:name Engineering
    94 rdf:type schema:DefinedTerm
    95 anzsrc-for:0904 schema:inDefinedTermSet anzsrc-for:
    96 schema:name Chemical Engineering
    97 rdf:type schema:DefinedTerm
    98 sg:journal.1082739 schema:issn 0003-021X
    99 1558-9331
    100 schema:name Journal of the American Oil Chemists' Society
    101 schema:publisher Wiley
    102 rdf:type schema:Periodical
    103 sg:person.010601035321.96 schema:affiliation grid-institutes:grid.507314.4
    104 schema:familyName Legendre
    105 schema:givenName M. G.
    106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010601035321.96
    107 rdf:type schema:Person
    108 sg:person.013743517741.18 schema:affiliation grid-institutes:grid.507314.4
    109 schema:familyName Dupuy
    110 schema:givenName H. P.
    111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013743517741.18
    112 rdf:type schema:Person
    113 sg:person.014146210101.56 schema:affiliation grid-institutes:grid.507314.4
    114 schema:familyName Rayner
    115 schema:givenName E. T.
    116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014146210101.56
    117 rdf:type schema:Person
    118 sg:person.014254346507.47 schema:affiliation grid-institutes:grid.507314.4
    119 schema:familyName Wadsworth
    120 schema:givenName J. I.
    121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014254346507.47
    122 rdf:type schema:Person
    123 sg:pub.10.1007/bf02586275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030990629
    124 https://doi.org/10.1007/bf02586275
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1007/bf02586277 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004203395
    127 https://doi.org/10.1007/bf02586277
    128 rdf:type schema:CreativeWork
    129 sg:pub.10.1007/bf02632473 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028916743
    130 https://doi.org/10.1007/bf02632473
    131 rdf:type schema:CreativeWork
    132 sg:pub.10.1007/bf02633050 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022596545
    133 https://doi.org/10.1007/bf02633050
    134 rdf:type schema:CreativeWork
    135 sg:pub.10.1007/bf02640835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002968523
    136 https://doi.org/10.1007/bf02640835
    137 rdf:type schema:CreativeWork
    138 grid-institutes:grid.507314.4 schema:alternateName ARS, USDA, Southern Regional Research Center, PO Box 19687, 70179, New Orleans, LA
    139 schema:name ARS, USDA, Southern Regional Research Center, PO Box 19687, 70179, New Orleans, LA
    140 rdf:type schema:Organization
     




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


    ...