UPLC/FT-ICR MS-based high-resolution platform for determining the geographical origins of raw propolis samples View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-12

AUTHORS

Cho Hyun Kim, Mee Young Kim, Seung-Wan Lee, Kyoung-Soon Jang

ABSTRACT

In this study, we demonstrate a high-resolution 15 Tesla Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometry coupled with a reverse-phase ultra-performance liquid chromatography (RP-UPLC) system for determining the geographical origins of raw propolis samples. The UPLC/FT-ICR MS-based high-resolution platform was validated on the ethanol-extracted propolis (EEP) from various propolis raw materials originating from different countries (i.e., Argentina, Brazil, China, and Korea) to determine the geographical origins of the propolis and the origin-specific key compounds. Based on approximately 8000 molecular features extracted from UPLC/FT-ICR MS datasets, a partial least squares-discriminant analysis (PLS-DA) plot showed distinct separations among propolis samples from four different origins. Key propolis components contributing to the discrimination of Korean propolis from Brazilian and Chinese propolis were identified and classified into five subgroups (i.e., flavonoids, phenols, terpenoids, fatty acids, and others). This analysis revealed the characteristic features of the different propolis samples, and this analytical platform can be further used to determine the geographical origins and to assess the quality of the commercial products. More... »

PAGES

8

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40543-019-0168-2

DOI

http://dx.doi.org/10.1186/s40543-019-0168-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111913347


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": "Korea Basic Science Institute", 
          "id": "https://www.grid.ac/institutes/grid.410885.0", 
          "name": [
            "Biomedical Omics Center, Korea Basic Science Institute, 28119, Cheongju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Cho Hyun", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Propolis Research Institute, Seoul Propolis Co, 34025, Daejeon, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Mee Young", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Propolis Research Institute, Seoul Propolis Co, 34025, Daejeon, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Seung-Wan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.412786.e", 
          "name": [
            "Biomedical Omics Center, Korea Basic Science Institute, 28119, Cheongju, Republic of Korea", 
            "Division of Bio-Analytical Science, University of Science and Technology, 34113, Daejeon, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jang", 
        "givenName": "Kyoung-Soon", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1076/phbi.34.5.349.13243", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007024154"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0031-9422(75)83098-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007025348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ftd.0000179845.53213.39", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007038476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ftd.0000179845.53213.39", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007038476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ftd.0000179845.53213.39", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007038476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ftd.0000179845.53213.39", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007038476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.talanta.2009.11.043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007182964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jpba.2011.03.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013548021"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0367-326x(02)00186-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013913417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.foodchem.2007.11.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017620271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00344-015-9546-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021231117", 
          "https://doi.org/10.1007/s00344-015-9546-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00344-015-9546-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021231117", 
          "https://doi.org/10.1007/s00344-015-9546-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/molecules21101307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023637617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/molecules191219610", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024394457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/molecules181114241", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025423454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/molecules181114241", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025423454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00216-007-1424-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026272974", 
          "https://doi.org/10.1007/s00216-007-1424-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00216-007-1424-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026272974", 
          "https://doi.org/10.1007/s00216-007-1424-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0278-6915(97)00145-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028752246"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.95.20.11532", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029877415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jsfa.3969", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032027965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jsfa.3969", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032027965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jpba.2007.06.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035003178"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/rcm.5025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035191896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1023889813697", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035839128", 
          "https://doi.org/10.1023/a:1023889813697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c6ay01272h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037636647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkl923", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038368215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1051/apido:2000102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043737956", 
          "https://doi.org/10.1051/apido:2000102"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac302733c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055003552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jf021060m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055900321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jf021060m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055900321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jf0343736", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055901547"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jf0343736", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055901547"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/np980028c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056239152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/np980028c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056239152"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09629350020025737", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058352415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.129.3352.807", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062472269"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7324/japs.2016.60225", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073688088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079208584", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1934578x1501001117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079208584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1934578x1501001117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079208584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1085378336", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "In this study, we demonstrate a high-resolution 15 Tesla Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometry coupled with a reverse-phase ultra-performance liquid chromatography (RP-UPLC) system for determining the geographical origins of raw propolis samples. The UPLC/FT-ICR MS-based high-resolution platform was validated on the ethanol-extracted propolis (EEP) from various propolis raw materials originating from different countries (i.e., Argentina, Brazil, China, and Korea) to determine the geographical origins of the propolis and the origin-specific key compounds. Based on approximately 8000 molecular features extracted from UPLC/FT-ICR MS datasets, a partial least squares-discriminant analysis (PLS-DA) plot showed distinct separations among propolis samples from four different origins. Key propolis components contributing to the discrimination of Korean propolis from Brazilian and Chinese propolis were identified and classified into five subgroups (i.e., flavonoids, phenols, terpenoids, fatty acids, and others). This analysis revealed the characteristic features of the different propolis samples, and this analytical platform can be further used to determine the geographical origins and to assess the quality of the commercial products.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s40543-019-0168-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1045095", 
        "issn": [
          "2093-3134", 
          "2093-3371"
        ], 
        "name": "Journal of Analytical Science and Technology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "UPLC/FT-ICR MS-based high-resolution platform for determining the geographical origins of raw propolis samples", 
    "pagination": "8", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "88b55570b670d9a1cb08590437267521da6b298eb9656f5e341d7c28ae9f3279"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s40543-019-0168-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111913347"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s40543-019-0168-2", 
      "https://app.dimensions.ai/details/publication/pub.1111913347"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:01", 
    "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/v90/0000000329_0000000329/records_74701_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs40543-019-0168-2"
  }
]
 

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.10.1186/s40543-019-0168-2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40543-019-0168-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40543-019-0168-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40543-019-0168-2'


 

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

181 TRIPLES      21 PREDICATES      58 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s40543-019-0168-2 schema:about anzsrc-for:03
2 anzsrc-for:0301
3 schema:author Ne9d364ef27284759a5d783d945c07258
4 schema:citation sg:pub.10.1007/s00216-007-1424-7
5 sg:pub.10.1007/s00344-015-9546-1
6 sg:pub.10.1023/a:1023889813697
7 sg:pub.10.1051/apido:2000102
8 https://app.dimensions.ai/details/publication/pub.1079208584
9 https://app.dimensions.ai/details/publication/pub.1085378336
10 https://doi.org/10.1002/jsfa.3969
11 https://doi.org/10.1002/rcm.5025
12 https://doi.org/10.1016/0031-9422(75)83098-6
13 https://doi.org/10.1016/j.foodchem.2007.11.009
14 https://doi.org/10.1016/j.jpba.2007.06.022
15 https://doi.org/10.1016/j.jpba.2011.03.024
16 https://doi.org/10.1016/j.talanta.2009.11.043
17 https://doi.org/10.1016/s0278-6915(97)00145-2
18 https://doi.org/10.1016/s0367-326x(02)00186-7
19 https://doi.org/10.1021/ac302733c
20 https://doi.org/10.1021/jf021060m
21 https://doi.org/10.1021/jf0343736
22 https://doi.org/10.1021/np980028c
23 https://doi.org/10.1039/c6ay01272h
24 https://doi.org/10.1073/pnas.95.20.11532
25 https://doi.org/10.1076/phbi.34.5.349.13243
26 https://doi.org/10.1080/09629350020025737
27 https://doi.org/10.1093/nar/gkl923
28 https://doi.org/10.1097/01.ftd.0000179845.53213.39
29 https://doi.org/10.1126/science.129.3352.807
30 https://doi.org/10.1177/1934578x1501001117
31 https://doi.org/10.3390/molecules181114241
32 https://doi.org/10.3390/molecules191219610
33 https://doi.org/10.3390/molecules21101307
34 https://doi.org/10.7324/japs.2016.60225
35 schema:datePublished 2019-12
36 schema:datePublishedReg 2019-12-01
37 schema:description In this study, we demonstrate a high-resolution 15 Tesla Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometry coupled with a reverse-phase ultra-performance liquid chromatography (RP-UPLC) system for determining the geographical origins of raw propolis samples. The UPLC/FT-ICR MS-based high-resolution platform was validated on the ethanol-extracted propolis (EEP) from various propolis raw materials originating from different countries (i.e., Argentina, Brazil, China, and Korea) to determine the geographical origins of the propolis and the origin-specific key compounds. Based on approximately 8000 molecular features extracted from UPLC/FT-ICR MS datasets, a partial least squares-discriminant analysis (PLS-DA) plot showed distinct separations among propolis samples from four different origins. Key propolis components contributing to the discrimination of Korean propolis from Brazilian and Chinese propolis were identified and classified into five subgroups (i.e., flavonoids, phenols, terpenoids, fatty acids, and others). This analysis revealed the characteristic features of the different propolis samples, and this analytical platform can be further used to determine the geographical origins and to assess the quality of the commercial products.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree false
41 schema:isPartOf Ncacc7dada611421bb4690fc5b13e7952
42 Nfb9e668d5e014340af01306411e9f917
43 sg:journal.1045095
44 schema:name UPLC/FT-ICR MS-based high-resolution platform for determining the geographical origins of raw propolis samples
45 schema:pagination 8
46 schema:productId N0e76dadbbc144527a27603e6808086dc
47 N8e7cdc82b463458298468f72ebab16da
48 N9b028ce7686f4562a7d1ef0c073f110b
49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111913347
50 https://doi.org/10.1186/s40543-019-0168-2
51 schema:sdDatePublished 2019-04-11T09:01
52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
53 schema:sdPublisher N9ad841d711a44d2cac142f1a1e7fbb8a
54 schema:url https://link.springer.com/10.1186%2Fs40543-019-0168-2
55 sgo:license sg:explorer/license/
56 sgo:sdDataset articles
57 rdf:type schema:ScholarlyArticle
58 N0e76dadbbc144527a27603e6808086dc schema:name readcube_id
59 schema:value 88b55570b670d9a1cb08590437267521da6b298eb9656f5e341d7c28ae9f3279
60 rdf:type schema:PropertyValue
61 N0fb94b9cf28f4da0971bfafc24bb382c schema:name Propolis Research Institute, Seoul Propolis Co, 34025, Daejeon, Republic of Korea
62 rdf:type schema:Organization
63 N1159acef741f4e178ed64a407457b1ce rdf:first N271e6b563c5948c0b2fe3c0ae521cc6f
64 rdf:rest rdf:nil
65 N271e6b563c5948c0b2fe3c0ae521cc6f schema:affiliation https://www.grid.ac/institutes/grid.412786.e
66 schema:familyName Jang
67 schema:givenName Kyoung-Soon
68 rdf:type schema:Person
69 N2ab9aee3c4c84e239cd4e0d6d5db630f rdf:first N61443e8d65f9402fbad0b07894bf94cb
70 rdf:rest N1159acef741f4e178ed64a407457b1ce
71 N51adbfc991ba40e8ad994cd6e2200d4f schema:affiliation https://www.grid.ac/institutes/grid.410885.0
72 schema:familyName Kim
73 schema:givenName Cho Hyun
74 rdf:type schema:Person
75 N5b52a1561fe4433f9f42ee071010e648 schema:name Propolis Research Institute, Seoul Propolis Co, 34025, Daejeon, Republic of Korea
76 rdf:type schema:Organization
77 N61443e8d65f9402fbad0b07894bf94cb schema:affiliation N0fb94b9cf28f4da0971bfafc24bb382c
78 schema:familyName Lee
79 schema:givenName Seung-Wan
80 rdf:type schema:Person
81 N8e7cdc82b463458298468f72ebab16da schema:name doi
82 schema:value 10.1186/s40543-019-0168-2
83 rdf:type schema:PropertyValue
84 N9ad841d711a44d2cac142f1a1e7fbb8a schema:name Springer Nature - SN SciGraph project
85 rdf:type schema:Organization
86 N9b028ce7686f4562a7d1ef0c073f110b schema:name dimensions_id
87 schema:value pub.1111913347
88 rdf:type schema:PropertyValue
89 Nb16e7f28bf234fd393ac3f7b9290c4c0 schema:affiliation N5b52a1561fe4433f9f42ee071010e648
90 schema:familyName Kim
91 schema:givenName Mee Young
92 rdf:type schema:Person
93 Ncacc7dada611421bb4690fc5b13e7952 schema:volumeNumber 10
94 rdf:type schema:PublicationVolume
95 Nd176a2ddeabc4279911012d3750de56c rdf:first Nb16e7f28bf234fd393ac3f7b9290c4c0
96 rdf:rest N2ab9aee3c4c84e239cd4e0d6d5db630f
97 Ne9d364ef27284759a5d783d945c07258 rdf:first N51adbfc991ba40e8ad994cd6e2200d4f
98 rdf:rest Nd176a2ddeabc4279911012d3750de56c
99 Nfb9e668d5e014340af01306411e9f917 schema:issueNumber 1
100 rdf:type schema:PublicationIssue
101 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
102 schema:name Chemical Sciences
103 rdf:type schema:DefinedTerm
104 anzsrc-for:0301 schema:inDefinedTermSet anzsrc-for:
105 schema:name Analytical Chemistry
106 rdf:type schema:DefinedTerm
107 sg:journal.1045095 schema:issn 2093-3134
108 2093-3371
109 schema:name Journal of Analytical Science and Technology
110 rdf:type schema:Periodical
111 sg:pub.10.1007/s00216-007-1424-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026272974
112 https://doi.org/10.1007/s00216-007-1424-7
113 rdf:type schema:CreativeWork
114 sg:pub.10.1007/s00344-015-9546-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021231117
115 https://doi.org/10.1007/s00344-015-9546-1
116 rdf:type schema:CreativeWork
117 sg:pub.10.1023/a:1023889813697 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035839128
118 https://doi.org/10.1023/a:1023889813697
119 rdf:type schema:CreativeWork
120 sg:pub.10.1051/apido:2000102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043737956
121 https://doi.org/10.1051/apido:2000102
122 rdf:type schema:CreativeWork
123 https://app.dimensions.ai/details/publication/pub.1079208584 schema:CreativeWork
124 https://app.dimensions.ai/details/publication/pub.1085378336 schema:CreativeWork
125 https://doi.org/10.1002/jsfa.3969 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032027965
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1002/rcm.5025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035191896
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/0031-9422(75)83098-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007025348
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.foodchem.2007.11.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017620271
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/j.jpba.2007.06.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035003178
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/j.jpba.2011.03.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013548021
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/j.talanta.2009.11.043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007182964
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/s0278-6915(97)00145-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028752246
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/s0367-326x(02)00186-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013913417
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1021/ac302733c schema:sameAs https://app.dimensions.ai/details/publication/pub.1055003552
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1021/jf021060m schema:sameAs https://app.dimensions.ai/details/publication/pub.1055900321
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1021/jf0343736 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055901547
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1021/np980028c schema:sameAs https://app.dimensions.ai/details/publication/pub.1056239152
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1039/c6ay01272h schema:sameAs https://app.dimensions.ai/details/publication/pub.1037636647
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1073/pnas.95.20.11532 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029877415
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1076/phbi.34.5.349.13243 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007024154
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1080/09629350020025737 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058352415
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1093/nar/gkl923 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038368215
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1097/01.ftd.0000179845.53213.39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007038476
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1126/science.129.3352.807 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062472269
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1177/1934578x1501001117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079208584
166 rdf:type schema:CreativeWork
167 https://doi.org/10.3390/molecules181114241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025423454
168 rdf:type schema:CreativeWork
169 https://doi.org/10.3390/molecules191219610 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024394457
170 rdf:type schema:CreativeWork
171 https://doi.org/10.3390/molecules21101307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023637617
172 rdf:type schema:CreativeWork
173 https://doi.org/10.7324/japs.2016.60225 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073688088
174 rdf:type schema:CreativeWork
175 https://www.grid.ac/institutes/grid.410885.0 schema:alternateName Korea Basic Science Institute
176 schema:name Biomedical Omics Center, Korea Basic Science Institute, 28119, Cheongju, Republic of Korea
177 rdf:type schema:Organization
178 https://www.grid.ac/institutes/grid.412786.e schema:alternateName Korea University of Science and Technology
179 schema:name Biomedical Omics Center, Korea Basic Science Institute, 28119, Cheongju, Republic of Korea
180 Division of Bio-Analytical Science, University of Science and Technology, 34113, Daejeon, Republic of Korea
181 rdf:type schema:Organization
 




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


...