Ontology type: schema:ScholarlyArticle
2017-04
AUTHORSSu Won Park, Soo Jin Lee, You Sin Sim, Jin Young Choi, Eun Young Park, Bong Soo Noh
ABSTRACTThe purpose of this study was to analyze ethanol content in soy sauce using mass spectrometry (MS) with electronic nose (e-nose) to determine if MS e-nose can replace gas chromatographic analysis for halal certification. Gas chromatography-flame ionization detector (GC-FID), the standard method of ethanol content, was used to analyze 24 different kinds of soy sauce. Ethanol was detected from 13 soy sauce samples in the concentration range of 0.0004-1.7wt%. The MS e-nose data were analyzed by discriminant function analysis (DFA). Based on an addition method, the results were more than 96.6% accurate when the ethanol concentrations were greater than 0.5%. A high correlation between the first score of the DFA plot and the ethanol concentration was observed. Thus, mass spectrometry based on e-nose is an efficient method for determining ethanol as a primary screening tool for halal certification. More... »
PAGES311-317
http://scigraph.springernature.com/pub.10.1007/s10068-017-0042-1
DOIhttp://dx.doi.org/10.1007/s10068-017-0042-1
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1084938101
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30263544
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": "Seoul Women's University",
"id": "https://www.grid.ac/institutes/grid.412487.c",
"name": [
"Department of Food Science and Technology, Seoul Women\u2019s University, 01797, Seoul, Korea"
],
"type": "Organization"
},
"familyName": "Park",
"givenName": "Su Won",
"id": "sg:person.012607305611.76",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012607305611.76"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Seoul Women's University",
"id": "https://www.grid.ac/institutes/grid.412487.c",
"name": [
"Department of Food Science and Technology, Seoul Women\u2019s University, 01797, Seoul, Korea"
],
"type": "Organization"
},
"familyName": "Lee",
"givenName": "Soo Jin",
"id": "sg:person.010573042636.33",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010573042636.33"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Division of Industry Services, Korean Food Research Institute, 13539, Gyenggi, Korea"
],
"type": "Organization"
},
"familyName": "Sim",
"givenName": "You Sin",
"id": "sg:person.013731527341.34",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013731527341.34"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Shinhan University",
"id": "https://www.grid.ac/institutes/grid.496515.a",
"name": [
"Division of Food Science and Culinary Arts, Shinhan University, 16644, Gyenggi, Korea"
],
"type": "Organization"
},
"familyName": "Choi",
"givenName": "Jin Young",
"id": "sg:person.015324470341.53",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015324470341.53"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Korea Christian University",
"id": "https://www.grid.ac/institutes/grid.444085.9",
"name": [
"Department of Food and Nutrition, Korea Christian University, 07661, Seoul, Korea"
],
"type": "Organization"
},
"familyName": "Park",
"givenName": "Eun Young",
"id": "sg:person.01013663436.94",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01013663436.94"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Seoul Women's University",
"id": "https://www.grid.ac/institutes/grid.412487.c",
"name": [
"Department of Food Science and Technology, Seoul Women\u2019s University, 01797, Seoul, Korea"
],
"type": "Organization"
},
"familyName": "Noh",
"givenName": "Bong Soo",
"id": "sg:person.015321621714.15",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015321621714.15"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.snb.2004.05.038",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007180315"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.9721/kjfst.2015.47.4.425",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021727968"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0925-4005(00)00504-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038302064"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5851/kosfa.2011.31.2.273",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038509958"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.9721/kjfst.2012.44.5.503",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041077314"
],
"type": "CreativeWork"
}
],
"datePublished": "2017-04",
"datePublishedReg": "2017-04-01",
"description": "The purpose of this study was to analyze ethanol content in soy sauce using mass spectrometry (MS) with electronic nose (e-nose) to determine if MS e-nose can replace gas chromatographic analysis for halal certification. Gas chromatography-flame ionization detector (GC-FID), the standard method of ethanol content, was used to analyze 24 different kinds of soy sauce. Ethanol was detected from 13 soy sauce samples in the concentration range of 0.0004-1.7wt%. The MS e-nose data were analyzed by discriminant function analysis (DFA). Based on an addition method, the results were more than 96.6% accurate when the ethanol concentrations were greater than 0.5%. A high correlation between the first score of the DFA plot and the ethanol concentration was observed. Thus, mass spectrometry based on e-nose is an efficient method for determining ethanol as a primary screening tool for halal certification.",
"genre": "research_article",
"id": "sg:pub.10.1007/s10068-017-0042-1",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1119788",
"issn": [
"1226-7708",
"2092-6456"
],
"name": "Food Science and Biotechnology",
"type": "Periodical"
},
{
"issueNumber": "2",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "26"
}
],
"name": "Analysis of ethanol in soy sauce using electronic nose for halal food certification",
"pagination": "311-317",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"e5ff093197a82d2019c823bf2782f670c6b47ecf486cfd16a1cf4c374c0ce257"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30263544"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"9816587"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s10068-017-0042-1"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1084938101"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s10068-017-0042-1",
"https://app.dimensions.ai/details/publication/pub.1084938101"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T10:19",
"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/v90/0000000348_0000000348/records_54322_00000001.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs10068-017-0042-1"
}
]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/s10068-017-0042-1'
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/s10068-017-0042-1'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10068-017-0042-1'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10068-017-0042-1'
This table displays all metadata directly associated to this object as RDF triples.
127 TRIPLES
21 PREDICATES
34 URIs
21 LITERALS
9 BLANK NODES