1950-03
AUTHORSS. G. Morris, J. S. Myers, Mary L. Kip, R. W. Riemenschneider
ABSTRACTA number of compounds, including known synergists, amino acids, and amines, have been evaluated as deactivators for copper, iron, nickel, and tin in lard. Some were effective in deactivating copper but were relatively poor for iron. One compound was better for iron than for copper.Ascorbyl palmitate, potassium ascorbyl palmitate, and ascorbic, tartaric, citric, and phosphoric acids were the most effective. This deactivation may in part explain the synergistic effect of these compounds with phenolic antioxidants.The more powerful antioxidants however are generally poor metal deactivators, and in the presence of traces of metallic pro-oxidants become relatively ineffective unless metal deactivators are also added. More... »
PAGES105-107
http://scigraph.springernature.com/pub.10.1007/bf02634401
DOIhttp://dx.doi.org/10.1007/bf02634401
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1003451510
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": "Eastern Regional Research Laboratory, Philadelphia 18, Pennsylvania",
"id": "http://www.grid.ac/institutes/grid.507316.6",
"name": [
"Eastern Regional Research Laboratory, Philadelphia 18, Pennsylvania"
],
"type": "Organization"
},
"familyName": "Morris",
"givenName": "S. G.",
"id": "sg:person.0107546727.51",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0107546727.51"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Eastern Regional Research Laboratory, Philadelphia 18, Pennsylvania",
"id": "http://www.grid.ac/institutes/grid.507316.6",
"name": [
"Eastern Regional Research Laboratory, Philadelphia 18, Pennsylvania"
],
"type": "Organization"
},
"familyName": "Myers",
"givenName": "J. S.",
"id": "sg:person.07561254651.14",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07561254651.14"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Eastern Regional Research Laboratory, Philadelphia 18, Pennsylvania",
"id": "http://www.grid.ac/institutes/grid.507316.6",
"name": [
"Eastern Regional Research Laboratory, Philadelphia 18, Pennsylvania"
],
"type": "Organization"
},
"familyName": "Kip",
"givenName": "Mary L.",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Eastern Regional Research Laboratory, Philadelphia 18, Pennsylvania",
"id": "http://www.grid.ac/institutes/grid.507316.6",
"name": [
"Eastern Regional Research Laboratory, Philadelphia 18, Pennsylvania"
],
"type": "Organization"
},
"familyName": "Riemenschneider",
"givenName": "R. W.",
"id": "sg:person.061134203.43",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.061134203.43"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/bf02593120",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051446794",
"https://doi.org/10.1007/bf02593120"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02635538",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051131498",
"https://doi.org/10.1007/bf02635538"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02641652",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021175871",
"https://doi.org/10.1007/bf02641652"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02593286",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035758100",
"https://doi.org/10.1007/bf02593286"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02571836",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004544737",
"https://doi.org/10.1007/bf02571836"
],
"type": "CreativeWork"
}
],
"datePublished": "1950-03",
"datePublishedReg": "1950-03-01",
"description": "A number of compounds, including known synergists, amino acids, and amines, have been evaluated as deactivators for copper, iron, nickel, and tin in lard. Some were effective in deactivating copper but were relatively poor for iron. One compound was better for iron than for copper.Ascorbyl palmitate, potassium ascorbyl palmitate, and ascorbic, tartaric, citric, and phosphoric acids were the most effective. This deactivation may in part explain the synergistic effect of these compounds with phenolic antioxidants.The more powerful antioxidants however are generally poor metal deactivators, and in the presence of traces of metallic pro-oxidants become relatively ineffective unless metal deactivators are also added.",
"genre": "article",
"id": "sg:pub.10.1007/bf02634401",
"inLanguage": "en",
"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": "3",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "27"
}
],
"keywords": [
"metal deactivator",
"presence of traces",
"number of compounds",
"metal deactivation",
"ascorbyl palmitate",
"phosphoric acid",
"phenolic antioxidants",
"deactivator",
"compounds",
"copper",
"synergistic effect",
"deactivation",
"iron",
"acid",
"amines",
"amino acids",
"nickel",
"ascorbic",
"powerful antioxidant",
"antioxidants",
"citric",
"tin",
"palmitate",
"synergists",
"presence",
"lard",
"traces",
"effect",
"number",
"part"
],
"name": "Metal deactivation in lard",
"pagination": "105-107",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1003451510"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/bf02634401"
]
}
],
"sameAs": [
"https://doi.org/10.1007/bf02634401",
"https://app.dimensions.ai/details/publication/pub.1003451510"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-10T10:19",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_72.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/bf02634401"
}
]
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/bf02634401'
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/bf02634401'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02634401'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02634401'
This table displays all metadata directly associated to this object as RDF triples.
128 TRIPLES
22 PREDICATES
61 URIs
48 LITERALS
6 BLANK NODES