Ontology type: schema:ScholarlyArticle
1978-05
AUTHORSS. P. Fore, M. G. Legendre, G. S. Fisher
ABSTRACTSimple procedures have been developed for analyzing neutral volatiles from mayonnaise by direct gas chromatography and combined direct gas chromatography-mass spectrometry. For gas Chromatographic analysis, a glass liner containing glass wool coated with alkali in the lower quarter and plain glass wool in the remaining space is placed in the heated inlet of a gas Chromatograph, and mayonnaise and water are injected onto the plain packing. Neutral volatiles eluted from the mayonnaise by the combined action of water, carrier gas, and heat collect on the cool column of the gas Chromatograph, but acetic acid is trapped by the alkaline glass wool and thus does not interfere with the analysis. After removal of the liner with the spent sample, the temperature of the column oven is programmed to resolve the volatiles. For mass spectrometric analysis, neutral volatiles are passed directly from a Chromatograph inlet to a second inlet liner containing a porous polymer that traps most organic compounds but has low affinity for water. These neutral organic volatiles are desorbed from the porous polymer in the inlet of a Chromatograph interfaced with a mass spectrometer for analysis. This procedure allows components resolved by the gas Chromatograph to be identified by mass spectrometry without interference from either water or acetic acid. A total of 21 neutral volatile compounds was identified in mayonnaise. More... »
PAGES482-485
http://scigraph.springernature.com/pub.10.1007/bf02668489
DOIhttp://dx.doi.org/10.1007/bf02668489
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1019709056
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": "Southern Regional Research Center, Agricultural Research Service, U.S. Department of Agriculture, 70179, New Orleans, Louisiana",
"id": "http://www.grid.ac/institutes/grid.507314.4",
"name": [
"Southern Regional Research Center, Agricultural Research Service, U.S. Department of Agriculture, 70179, New Orleans, Louisiana"
],
"type": "Organization"
},
"familyName": "Fore",
"givenName": "S. P.",
"id": "sg:person.07443054053.51",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07443054053.51"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Southern Regional Research Center, Agricultural Research Service, U.S. Department of Agriculture, 70179, New Orleans, Louisiana",
"id": "http://www.grid.ac/institutes/grid.507314.4",
"name": [
"Southern Regional Research Center, Agricultural Research Service, U.S. Department of Agriculture, 70179, New Orleans, Louisiana"
],
"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"
},
{
"affiliation": {
"alternateName": "Southern Regional Research Center, Agricultural Research Service, U.S. Department of Agriculture, 70179, New Orleans, Louisiana",
"id": "http://www.grid.ac/institutes/grid.507314.4",
"name": [
"Southern Regional Research Center, Agricultural Research Service, U.S. Department of Agriculture, 70179, New Orleans, Louisiana"
],
"type": "Organization"
},
"familyName": "Fisher",
"givenName": "G. S.",
"id": "sg:person.015751627700.36",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015751627700.36"
],
"type": "Person"
}
],
"citation": [
{
"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/bf02586275",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030990629",
"https://doi.org/10.1007/bf02586275"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02671032",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027463354",
"https://doi.org/10.1007/bf02671032"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02908549",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013097365",
"https://doi.org/10.1007/bf02908549"
],
"type": "CreativeWork"
}
],
"datePublished": "1978-05",
"datePublishedReg": "1978-05-01",
"description": "Simple procedures have been developed for analyzing neutral volatiles from mayonnaise by direct gas chromatography and combined direct gas chromatography-mass spectrometry. For gas Chromatographic analysis, a glass liner containing glass wool coated with alkali in the lower quarter and plain glass wool in the remaining space is placed in the heated inlet of a gas Chromatograph, and mayonnaise and water are injected onto the plain packing. Neutral volatiles eluted from the mayonnaise by the combined action of water, carrier gas, and heat collect on the cool column of the gas Chromatograph, but acetic acid is trapped by the alkaline glass wool and thus does not interfere with the analysis. After removal of the liner with the spent sample, the temperature of the column oven is programmed to resolve the volatiles. For mass spectrometric analysis, neutral volatiles are passed directly from a Chromatograph inlet to a second inlet liner containing a porous polymer that traps most organic compounds but has low affinity for water. These neutral organic volatiles are desorbed from the porous polymer in the inlet of a Chromatograph interfaced with a mass spectrometer for analysis. This procedure allows components resolved by the gas Chromatograph to be identified by mass spectrometry without interference from either water or acetic acid. A total of 21 neutral volatile compounds was identified in mayonnaise.",
"genre": "article",
"id": "sg:pub.10.1007/bf02668489",
"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": "5",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "55"
}
],
"keywords": [
"direct gas chromatography",
"porous polymers",
"direct gas chromatography-mass spectrometry",
"gas chromatograph",
"mass spectrometry",
"gas chromatography",
"neutral volatiles",
"most organic compounds",
"gas chromatography-mass spectrometry",
"chromatography-mass spectrometry",
"acetic acid",
"mass spectrometric analysis",
"organic compounds",
"gas chromatographic analysis",
"mass spectrometer",
"neutral volatile compounds",
"action of water",
"heated inlet",
"spectrometric analysis",
"organic volatiles",
"glass liner",
"column oven",
"spectrometry",
"chromatographic analysis",
"carrier gas",
"chromatograph",
"volatile compounds",
"inlet liner",
"polymers",
"compounds",
"chromatography",
"glass wool",
"mayonnaise",
"water",
"simple procedure",
"acid",
"volatiles",
"packing",
"spectrometer",
"low affinity",
"alkali",
"wool",
"column",
"affinity",
"removal",
"inlet",
"temperature",
"liner",
"oven",
"gas",
"analysis",
"samples",
"procedure",
"interference",
"components",
"action",
"lower quarter",
"space",
"quarter",
"total"
],
"name": "Analysis of neutral volatiles of mayonnaise by direct gas chromatography and mass spectrometry",
"pagination": "482-485",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1019709056"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/bf02668489"
]
}
],
"sameAs": [
"https://doi.org/10.1007/bf02668489",
"https://app.dimensions.ai/details/publication/pub.1019709056"
],
"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_137.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/bf02668489"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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/bf02668489'
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/bf02668489'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02668489'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02668489'
This table displays all metadata directly associated to this object as RDF triples.
147 TRIPLES
21 PREDICATES
89 URIs
77 LITERALS
6 BLANK NODES
Subject | Predicate | Object | |
---|---|---|---|
1 | sg:pub.10.1007/bf02668489 | schema:about | anzsrc-for:09 |
2 | ″ | ″ | anzsrc-for:0904 |
3 | ″ | schema:author | N53b62144855945b09cf9281529275ae6 |
4 | ″ | schema:citation | sg:pub.10.1007/bf02586275 |
5 | ″ | ″ | sg:pub.10.1007/bf02586277 |
6 | ″ | ″ | sg:pub.10.1007/bf02671032 |
7 | ″ | ″ | sg:pub.10.1007/bf02908549 |
8 | ″ | schema:datePublished | 1978-05 |
9 | ″ | schema:datePublishedReg | 1978-05-01 |
10 | ″ | schema:description | Simple procedures have been developed for analyzing neutral volatiles from mayonnaise by direct gas chromatography and combined direct gas chromatography-mass spectrometry. For gas Chromatographic analysis, a glass liner containing glass wool coated with alkali in the lower quarter and plain glass wool in the remaining space is placed in the heated inlet of a gas Chromatograph, and mayonnaise and water are injected onto the plain packing. Neutral volatiles eluted from the mayonnaise by the combined action of water, carrier gas, and heat collect on the cool column of the gas Chromatograph, but acetic acid is trapped by the alkaline glass wool and thus does not interfere with the analysis. After removal of the liner with the spent sample, the temperature of the column oven is programmed to resolve the volatiles. For mass spectrometric analysis, neutral volatiles are passed directly from a Chromatograph inlet to a second inlet liner containing a porous polymer that traps most organic compounds but has low affinity for water. These neutral organic volatiles are desorbed from the porous polymer in the inlet of a Chromatograph interfaced with a mass spectrometer for analysis. This procedure allows components resolved by the gas Chromatograph to be identified by mass spectrometry without interference from either water or acetic acid. A total of 21 neutral volatile compounds was identified in mayonnaise. |
11 | ″ | schema:genre | article |
12 | ″ | schema:isAccessibleForFree | false |
13 | ″ | schema:isPartOf | Nacd17f41729141e5802ad105a518b661 |
14 | ″ | ″ | Nea8a8c2223d340ee99d6a08f8b72308d |
15 | ″ | ″ | sg:journal.1082739 |
16 | ″ | schema:keywords | acetic acid |
17 | ″ | ″ | acid |
18 | ″ | ″ | action |
19 | ″ | ″ | action of water |
20 | ″ | ″ | affinity |
21 | ″ | ″ | alkali |
22 | ″ | ″ | analysis |
23 | ″ | ″ | carrier gas |
24 | ″ | ″ | chromatograph |
25 | ″ | ″ | chromatographic analysis |
26 | ″ | ″ | chromatography |
27 | ″ | ″ | chromatography-mass spectrometry |
28 | ″ | ″ | column |
29 | ″ | ″ | column oven |
30 | ″ | ″ | components |
31 | ″ | ″ | compounds |
32 | ″ | ″ | direct gas chromatography |
33 | ″ | ″ | direct gas chromatography-mass spectrometry |
34 | ″ | ″ | gas |
35 | ″ | ″ | gas chromatograph |
36 | ″ | ″ | gas chromatographic analysis |
37 | ″ | ″ | gas chromatography |
38 | ″ | ″ | gas chromatography-mass spectrometry |
39 | ″ | ″ | glass liner |
40 | ″ | ″ | glass wool |
41 | ″ | ″ | heated inlet |
42 | ″ | ″ | inlet |
43 | ″ | ″ | inlet liner |
44 | ″ | ″ | interference |
45 | ″ | ″ | liner |
46 | ″ | ″ | low affinity |
47 | ″ | ″ | lower quarter |
48 | ″ | ″ | mass spectrometer |
49 | ″ | ″ | mass spectrometric analysis |
50 | ″ | ″ | mass spectrometry |
51 | ″ | ″ | mayonnaise |
52 | ″ | ″ | most organic compounds |
53 | ″ | ″ | neutral volatile compounds |
54 | ″ | ″ | neutral volatiles |
55 | ″ | ″ | organic compounds |
56 | ″ | ″ | organic volatiles |
57 | ″ | ″ | oven |
58 | ″ | ″ | packing |
59 | ″ | ″ | polymers |
60 | ″ | ″ | porous polymers |
61 | ″ | ″ | procedure |
62 | ″ | ″ | quarter |
63 | ″ | ″ | removal |
64 | ″ | ″ | samples |
65 | ″ | ″ | simple procedure |
66 | ″ | ″ | space |
67 | ″ | ″ | spectrometer |
68 | ″ | ″ | spectrometric analysis |
69 | ″ | ″ | spectrometry |
70 | ″ | ″ | temperature |
71 | ″ | ″ | total |
72 | ″ | ″ | volatile compounds |
73 | ″ | ″ | volatiles |
74 | ″ | ″ | water |
75 | ″ | ″ | wool |
76 | ″ | schema:name | Analysis of neutral volatiles of mayonnaise by direct gas chromatography and mass spectrometry |
77 | ″ | schema:pagination | 482-485 |
78 | ″ | schema:productId | N3ff93135a36841ed99c5286944c8c59f |
79 | ″ | ″ | N6a3b50b476a74c9a910ad0811d414fc4 |
80 | ″ | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1019709056 |
81 | ″ | ″ | https://doi.org/10.1007/bf02668489 |
82 | ″ | schema:sdDatePublished | 2022-08-04T16:49 |
83 | ″ | schema:sdLicense | https://scigraph.springernature.com/explorer/license/ |
84 | ″ | schema:sdPublisher | N4cb70b8f5e904ff08c1eb89533ac1c33 |
85 | ″ | schema:url | https://doi.org/10.1007/bf02668489 |
86 | ″ | sgo:license | sg:explorer/license/ |
87 | ″ | sgo:sdDataset | articles |
88 | ″ | rdf:type | schema:ScholarlyArticle |
89 | N173c298ff9ad4fce8d712730c4db06cb | rdf:first | sg:person.010601035321.96 |
90 | ″ | rdf:rest | Nd4fc16e13db2415ea6456ada9766a72e |
91 | N3ff93135a36841ed99c5286944c8c59f | schema:name | doi |
92 | ″ | schema:value | 10.1007/bf02668489 |
93 | ″ | rdf:type | schema:PropertyValue |
94 | N4cb70b8f5e904ff08c1eb89533ac1c33 | schema:name | Springer Nature - SN SciGraph project |
95 | ″ | rdf:type | schema:Organization |
96 | N53b62144855945b09cf9281529275ae6 | rdf:first | sg:person.07443054053.51 |
97 | ″ | rdf:rest | N173c298ff9ad4fce8d712730c4db06cb |
98 | N6a3b50b476a74c9a910ad0811d414fc4 | schema:name | dimensions_id |
99 | ″ | schema:value | pub.1019709056 |
100 | ″ | rdf:type | schema:PropertyValue |
101 | Nacd17f41729141e5802ad105a518b661 | schema:volumeNumber | 55 |
102 | ″ | rdf:type | schema:PublicationVolume |
103 | Nd4fc16e13db2415ea6456ada9766a72e | rdf:first | sg:person.015751627700.36 |
104 | ″ | rdf:rest | rdf:nil |
105 | Nea8a8c2223d340ee99d6a08f8b72308d | schema:issueNumber | 5 |
106 | ″ | rdf:type | schema:PublicationIssue |
107 | anzsrc-for:09 | schema:inDefinedTermSet | anzsrc-for: |
108 | ″ | schema:name | Engineering |
109 | ″ | rdf:type | schema:DefinedTerm |
110 | anzsrc-for:0904 | schema:inDefinedTermSet | anzsrc-for: |
111 | ″ | schema:name | Chemical Engineering |
112 | ″ | rdf:type | schema:DefinedTerm |
113 | sg:journal.1082739 | schema:issn | 0003-021X |
114 | ″ | ″ | 1558-9331 |
115 | ″ | schema:name | Journal of the American Oil Chemists' Society |
116 | ″ | schema:publisher | Wiley |
117 | ″ | rdf:type | schema:Periodical |
118 | sg:person.010601035321.96 | schema:affiliation | grid-institutes:grid.507314.4 |
119 | ″ | schema:familyName | Legendre |
120 | ″ | schema:givenName | M. G. |
121 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010601035321.96 |
122 | ″ | rdf:type | schema:Person |
123 | sg:person.015751627700.36 | schema:affiliation | grid-institutes:grid.507314.4 |
124 | ″ | schema:familyName | Fisher |
125 | ″ | schema:givenName | G. S. |
126 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015751627700.36 |
127 | ″ | rdf:type | schema:Person |
128 | sg:person.07443054053.51 | schema:affiliation | grid-institutes:grid.507314.4 |
129 | ″ | schema:familyName | Fore |
130 | ″ | schema:givenName | S. P. |
131 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07443054053.51 |
132 | ″ | rdf:type | schema:Person |
133 | sg:pub.10.1007/bf02586275 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1030990629 |
134 | ″ | ″ | https://doi.org/10.1007/bf02586275 |
135 | ″ | rdf:type | schema:CreativeWork |
136 | sg:pub.10.1007/bf02586277 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1004203395 |
137 | ″ | ″ | https://doi.org/10.1007/bf02586277 |
138 | ″ | rdf:type | schema:CreativeWork |
139 | sg:pub.10.1007/bf02671032 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1027463354 |
140 | ″ | ″ | https://doi.org/10.1007/bf02671032 |
141 | ″ | rdf:type | schema:CreativeWork |
142 | sg:pub.10.1007/bf02908549 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1013097365 |
143 | ″ | ″ | https://doi.org/10.1007/bf02908549 |
144 | ″ | rdf:type | schema:CreativeWork |
145 | grid-institutes:grid.507314.4 | schema:alternateName | Southern Regional Research Center, Agricultural Research Service, U.S. Department of Agriculture, 70179, New Orleans, Louisiana |
146 | ″ | schema:name | Southern Regional Research Center, Agricultural Research Service, U.S. Department of Agriculture, 70179, New Orleans, Louisiana |
147 | ″ | rdf:type | schema:Organization |