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/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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/2008/0607", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Plant Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromatography, Liquid", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Plants", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tandem Mass Spectrometry", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Graduate School of Biological Sciences, Nara Institute of Science and Technology, Ikoma, Nara, Japan", 
          "id": "http://www.grid.ac/institutes/grid.260493.a", 
          "name": [
            "Graduate School of Biological Sciences, Nara Institute of Science and Technology, Ikoma, Nara, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shimizu", 
        "givenName": "Takafumi", 
        "id": "sg:person.01331653747.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01331653747.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Graduate School of Biological Sciences, Nara Institute of Science and Technology, Ikoma, Nara, Japan", 
          "id": "http://www.grid.ac/institutes/grid.260493.a", 
          "name": [
            "Graduate School of Biological Sciences, Nara Institute of Science and Technology, Ikoma, Nara, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Watanabe", 
        "givenName": "Mutsumi", 
        "id": "sg:person.01103653720.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01103653720.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany", 
          "id": "http://www.grid.ac/institutes/grid.418390.7", 
          "name": [
            "Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fernie", 
        "givenName": "Alisdair R.", 
        "id": "sg:person.01021163534.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021163534.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany", 
          "id": "http://www.grid.ac/institutes/grid.418390.7", 
          "name": [
            "Graduate School of Biological Sciences, Nara Institute of Science and Technology, Ikoma, Nara, Japan", 
            "Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tohge", 
        "givenName": "Takayuki", 
        "id": "sg:person.01230620570.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230620570.73"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2018-05-15", 
    "datePublishedReg": "2018-05-15", 
    "description": "Recent technological developments and methodological advances of both liquid chromatography (LC) and mass spectrometry (MS) have allowed LC-MS-based plant metabolomics to become a common tool for investigating quantity, quality, and chemical diversity of plant metabolites. Targeted LC-MS metabolite analysis focuses on the detection and quantitation of the researcher\u2019s target metabolites. Whilst the word \u201ctarget analysis\u201d has been used for the analytical measurement to obtain the absolute concentrations evaluated by authentic and/or stable-isotope-labeled standards, over time the phrase came to be also used in a broad sense for the measurement of annotatable metabolites by structural information obtained from the combination of different strategies such as MS/MS analysis, reference extracts, mutant analysis and database search. Here, we describe a general protocol for targeted LC-MS metabolite profiling of plant secondary metabolites. Additionally, we introduce some examples of peak annotation using the combination approach.", 
    "editor": [
      {
        "familyName": "Ant\u00f3nio", 
        "givenName": "Carla", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-1-4939-7819-9_12", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-1-4939-7818-2", 
        "978-1-4939-7819-9"
      ], 
      "name": "Plant Metabolomics", 
      "type": "Book"
    }, 
    "keywords": [
      "mass spectrometry", 
      "liquid chromatography", 
      "LC-MS metabolite profiling", 
      "plant secondary metabolites", 
      "MS/MS analysis", 
      "LC-MS analysis", 
      "secondary metabolites", 
      "chemical diversity", 
      "LC-MS", 
      "analytical measurements", 
      "peak annotation", 
      "plant metabolomics", 
      "MS analysis", 
      "general protocol", 
      "structural information", 
      "target analysis", 
      "metabolite profiling", 
      "plant metabolites", 
      "reference extract", 
      "spectrometry", 
      "researcher's target", 
      "absolute concentrations", 
      "chromatography", 
      "metabolites", 
      "metabolite analysis", 
      "quantitation", 
      "measurements", 
      "metabolomics", 
      "recent technological developments", 
      "concentration", 
      "methodological advances", 
      "extract", 
      "detection", 
      "different strategies", 
      "analysis", 
      "advances", 
      "quantity", 
      "profiling", 
      "target", 
      "combination", 
      "technological development", 
      "common tool", 
      "strategies", 
      "time", 
      "example", 
      "combination approach", 
      "protocol", 
      "database search", 
      "development", 
      "approach", 
      "standards", 
      "tool", 
      "broad sense", 
      "information", 
      "diversity", 
      "search", 
      "quality", 
      "mutant analysis", 
      "sense", 
      "annotation", 
      "words", 
      "phrases"
    ], 
    "name": "Targeted LC-MS Analysis for Plant Secondary Metabolites", 
    "pagination": "171-181", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1103973013"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-1-4939-7819-9_12"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29761438"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-1-4939-7819-9_12", 
      "https://app.dimensions.ai/details/publication/pub.1103973013"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-08-04T17:13", 
    "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/chapter/chapter_104.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-1-4939-7819-9_12"
  }
]

Download the RDF metadata as:  json-ld nt turtle xml License info

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

170 TRIPLES      22 PREDICATES      92 URIs      83 LITERALS      11 BLANK NODES