High-performance high-pressure gas chromatography on monolithic capillary columns View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-11-06

AUTHORS

A. A. Korolev, V. E. Shiryaeva, M. E. Dianov, T. P. Popova, A. A. Kurganov

ABSTRACT

A new type of high-performance capillary columns for gas chromatography, monolithic capillary columns, have been studied, which are characterized by a high loading capacity, a high efficiency, and good deactivation of the capillary wall as early as the step of preparing a monolithic stationary phase. The feasibility of separation of both gaseous and liquid samples at a high carrier-gas pressure has been shown. The influence of temperature programming on the separation properties of the monolithic columns has been examined, and it has been shown that temperature programming on monolithic columns is a convenient and effective means of accelerating gas chromatographic determination of compounds of many classes. More... »

PAGES

437-440

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0965544112060084

DOI

http://dx.doi.org/10.1134/s0965544112060084

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042517483


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/2008/09", 
        "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": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Korolev", 
        "givenName": "A. A.", 
        "id": "sg:person.0761776377.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761776377.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shiryaeva", 
        "givenName": "V. E.", 
        "id": "sg:person.016163553457.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016163553457.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dianov", 
        "givenName": "M. E.", 
        "id": "sg:person.011717137057.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011717137057.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Popova", 
        "givenName": "T. P.", 
        "id": "sg:person.01123707162.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123707162.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kurganov", 
        "givenName": "A. A.", 
        "id": "sg:person.01240135562.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240135562.44"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1134/s106193480704003x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024235889", 
          "https://doi.org/10.1134/s106193480704003x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1061934811020080", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035123923", 
          "https://doi.org/10.1134/s1061934811020080"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0036024409070292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044118699", 
          "https://doi.org/10.1134/s0036024409070292"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0036024410080273", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035683998", 
          "https://doi.org/10.1134/s0036024410080273"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/180702b0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016342015", 
          "https://doi.org/10.1038/180702b0"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-11-06", 
    "datePublishedReg": "2012-11-06", 
    "description": "A new type of high-performance capillary columns for gas chromatography, monolithic capillary columns, have been studied, which are characterized by a high loading capacity, a high efficiency, and good deactivation of the capillary wall as early as the step of preparing a monolithic stationary phase. The feasibility of separation of both gaseous and liquid samples at a high carrier-gas pressure has been shown. The influence of temperature programming on the separation properties of the monolithic columns has been examined, and it has been shown that temperature programming on monolithic columns is a convenient and effective means of accelerating gas chromatographic determination of compounds of many classes.", 
    "genre": "article", 
    "id": "sg:pub.10.1134/s0965544112060084", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136087", 
        "issn": [
          "0965-5441", 
          "1555-6239"
        ], 
        "name": "Petroleum Chemistry", 
        "publisher": "Pleiades Publishing", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "52"
      }
    ], 
    "keywords": [
      "monolithic capillary columns", 
      "capillary column", 
      "monolithic column", 
      "high-performance capillary columns", 
      "gas chromatography", 
      "high-pressure gas chromatography", 
      "monolithic stationary phases", 
      "carrier-gas pressure", 
      "high loading capacity", 
      "temperature programming", 
      "gas chromatographic determination", 
      "feasibility of separation", 
      "separation properties", 
      "good deactivation", 
      "loading capacity", 
      "stationary phase", 
      "chromatographic determination", 
      "liquid samples", 
      "chromatography", 
      "column", 
      "high efficiency", 
      "new type", 
      "deactivation", 
      "compounds", 
      "separation", 
      "capillary wall", 
      "determination", 
      "properties", 
      "phase", 
      "samples", 
      "efficiency", 
      "step", 
      "capacity", 
      "influence", 
      "means", 
      "pressure", 
      "effective means", 
      "wall", 
      "class", 
      "types", 
      "feasibility", 
      "programming", 
      "high carrier-gas pressure", 
      "High-performance high-pressure gas chromatography"
    ], 
    "name": "High-performance high-pressure gas chromatography on monolithic capillary columns", 
    "pagination": "437-440", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1042517483"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0965544112060084"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0965544112060084", 
      "https://app.dimensions.ai/details/publication/pub.1042517483"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:27", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_577.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1134/s0965544112060084"
  }
]
 

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.10.1134/s0965544112060084'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s0965544112060084'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0965544112060084'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0965544112060084'


 

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

150 TRIPLES      22 PREDICATES      74 URIs      61 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0965544112060084 schema:about anzsrc-for:09
2 anzsrc-for:0904
3 schema:author Na8fa15d6e6bf467bafcdfa00f7448da2
4 schema:citation sg:pub.10.1038/180702b0
5 sg:pub.10.1134/s0036024409070292
6 sg:pub.10.1134/s0036024410080273
7 sg:pub.10.1134/s106193480704003x
8 sg:pub.10.1134/s1061934811020080
9 schema:datePublished 2012-11-06
10 schema:datePublishedReg 2012-11-06
11 schema:description A new type of high-performance capillary columns for gas chromatography, monolithic capillary columns, have been studied, which are characterized by a high loading capacity, a high efficiency, and good deactivation of the capillary wall as early as the step of preparing a monolithic stationary phase. The feasibility of separation of both gaseous and liquid samples at a high carrier-gas pressure has been shown. The influence of temperature programming on the separation properties of the monolithic columns has been examined, and it has been shown that temperature programming on monolithic columns is a convenient and effective means of accelerating gas chromatographic determination of compounds of many classes.
12 schema:genre article
13 schema:inLanguage en
14 schema:isAccessibleForFree false
15 schema:isPartOf N29064e3095bd4557bbd4b71560633280
16 Nef31c5d68d584e4185c4afb59a624348
17 sg:journal.1136087
18 schema:keywords High-performance high-pressure gas chromatography
19 capacity
20 capillary column
21 capillary wall
22 carrier-gas pressure
23 chromatographic determination
24 chromatography
25 class
26 column
27 compounds
28 deactivation
29 determination
30 effective means
31 efficiency
32 feasibility
33 feasibility of separation
34 gas chromatographic determination
35 gas chromatography
36 good deactivation
37 high carrier-gas pressure
38 high efficiency
39 high loading capacity
40 high-performance capillary columns
41 high-pressure gas chromatography
42 influence
43 liquid samples
44 loading capacity
45 means
46 monolithic capillary columns
47 monolithic column
48 monolithic stationary phases
49 new type
50 phase
51 pressure
52 programming
53 properties
54 samples
55 separation
56 separation properties
57 stationary phase
58 step
59 temperature programming
60 types
61 wall
62 schema:name High-performance high-pressure gas chromatography on monolithic capillary columns
63 schema:pagination 437-440
64 schema:productId N506eb4466a674508b6d0300f0540ed63
65 N66dcd1e0f7c8410a9c2c809380e912bc
66 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042517483
67 https://doi.org/10.1134/s0965544112060084
68 schema:sdDatePublished 2021-12-01T19:27
69 schema:sdLicense https://scigraph.springernature.com/explorer/license/
70 schema:sdPublisher N37ba0f57797c4c459bc68fd2f4aab0a5
71 schema:url https://doi.org/10.1134/s0965544112060084
72 sgo:license sg:explorer/license/
73 sgo:sdDataset articles
74 rdf:type schema:ScholarlyArticle
75 N29064e3095bd4557bbd4b71560633280 schema:volumeNumber 52
76 rdf:type schema:PublicationVolume
77 N37ba0f57797c4c459bc68fd2f4aab0a5 schema:name Springer Nature - SN SciGraph project
78 rdf:type schema:Organization
79 N40eb03458f984f808d7241a08ac4e668 rdf:first sg:person.01123707162.15
80 rdf:rest N61188471f47d4a72adf9a188e8b333fd
81 N506eb4466a674508b6d0300f0540ed63 schema:name dimensions_id
82 schema:value pub.1042517483
83 rdf:type schema:PropertyValue
84 N61188471f47d4a72adf9a188e8b333fd rdf:first sg:person.01240135562.44
85 rdf:rest rdf:nil
86 N66dcd1e0f7c8410a9c2c809380e912bc schema:name doi
87 schema:value 10.1134/s0965544112060084
88 rdf:type schema:PropertyValue
89 N9c2c979caf2942edb9b2905d37e661d1 rdf:first sg:person.016163553457.07
90 rdf:rest Neb754efe3f054e989889fdb679a7c194
91 Na8fa15d6e6bf467bafcdfa00f7448da2 rdf:first sg:person.0761776377.67
92 rdf:rest N9c2c979caf2942edb9b2905d37e661d1
93 Neb754efe3f054e989889fdb679a7c194 rdf:first sg:person.011717137057.72
94 rdf:rest N40eb03458f984f808d7241a08ac4e668
95 Nef31c5d68d584e4185c4afb59a624348 schema:issueNumber 6
96 rdf:type schema:PublicationIssue
97 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
98 schema:name Engineering
99 rdf:type schema:DefinedTerm
100 anzsrc-for:0904 schema:inDefinedTermSet anzsrc-for:
101 schema:name Chemical Engineering
102 rdf:type schema:DefinedTerm
103 sg:journal.1136087 schema:issn 0965-5441
104 1555-6239
105 schema:name Petroleum Chemistry
106 schema:publisher Pleiades Publishing
107 rdf:type schema:Periodical
108 sg:person.01123707162.15 schema:affiliation grid-institutes:grid.423490.8
109 schema:familyName Popova
110 schema:givenName T. P.
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123707162.15
112 rdf:type schema:Person
113 sg:person.011717137057.72 schema:affiliation grid-institutes:grid.423490.8
114 schema:familyName Dianov
115 schema:givenName M. E.
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011717137057.72
117 rdf:type schema:Person
118 sg:person.01240135562.44 schema:affiliation grid-institutes:grid.423490.8
119 schema:familyName Kurganov
120 schema:givenName A. A.
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240135562.44
122 rdf:type schema:Person
123 sg:person.016163553457.07 schema:affiliation grid-institutes:grid.423490.8
124 schema:familyName Shiryaeva
125 schema:givenName V. E.
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016163553457.07
127 rdf:type schema:Person
128 sg:person.0761776377.67 schema:affiliation grid-institutes:grid.423490.8
129 schema:familyName Korolev
130 schema:givenName A. A.
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761776377.67
132 rdf:type schema:Person
133 sg:pub.10.1038/180702b0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016342015
134 https://doi.org/10.1038/180702b0
135 rdf:type schema:CreativeWork
136 sg:pub.10.1134/s0036024409070292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044118699
137 https://doi.org/10.1134/s0036024409070292
138 rdf:type schema:CreativeWork
139 sg:pub.10.1134/s0036024410080273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035683998
140 https://doi.org/10.1134/s0036024410080273
141 rdf:type schema:CreativeWork
142 sg:pub.10.1134/s106193480704003x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024235889
143 https://doi.org/10.1134/s106193480704003x
144 rdf:type schema:CreativeWork
145 sg:pub.10.1134/s1061934811020080 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035123923
146 https://doi.org/10.1134/s1061934811020080
147 rdf:type schema:CreativeWork
148 grid-institutes:grid.423490.8 schema:alternateName Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia
149 schema:name Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia
150 rdf:type schema:Organization
 




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


...