Dependence of the efficiency of a capillary column in gas chromatography on the relative pressure of the carrier gas View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-02

AUTHORS

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

ABSTRACT

The effect of relative pressure on the efficiency of an open capillary column in gas chromatography was studied. It was shown that the relative pressure was not the only parameter determining the column efficiency. The pressure drop in the column is an additional parameter. At high values of relative pressure, the pressure drop in the column becomes determining for the column efficiency. The smallest value of a height equivalent to a theoretical plate (HETP) is achieved at the minimum values of the pressure drop and the relative pressure, which is accompanied by a decrease in the optimal flow rate of the carrier gas and an increase in the time of determination. The maximum improvement in the column efficiency is determined by the column properties and can exceed 12.5%, that is, the value predicted by Cramers for open capillary columns. More... »

PAGES

184-188

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s1061934811020080

DOI

http://dx.doi.org/10.1134/s1061934811020080

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1035123923


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/2008/0915", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Interdisciplinary Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "A.V. Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Leninskii pr. 29, 119991, 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": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "A.V. Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Leninskii pr. 29, 119991, 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": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "A.V. Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Leninskii pr. 29, 119991, 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": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "A.V. Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Leninskii pr. 29, 119991, 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": "https://doi.org/10.1016/0009-2509(56)80003-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011696863"
        ], 
        "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"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(00)80294-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034663117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(00)95085-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051460865"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac60163a043", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055039375"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-02", 
    "datePublishedReg": "2011-02-01", 
    "description": "The effect of relative pressure on the efficiency of an open capillary column in gas chromatography was studied. It was shown that the relative pressure was not the only parameter determining the column efficiency. The pressure drop in the column is an additional parameter. At high values of relative pressure, the pressure drop in the column becomes determining for the column efficiency. The smallest value of a height equivalent to a theoretical plate (HETP) is achieved at the minimum values of the pressure drop and the relative pressure, which is accompanied by a decrease in the optimal flow rate of the carrier gas and an increase in the time of determination. The maximum improvement in the column efficiency is determined by the column properties and can exceed 12.5%, that is, the value predicted by Cramers for open capillary columns.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s1061934811020080", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1017946", 
        "issn": [
          "1061-9348", 
          "1608-3199"
        ], 
        "name": "Journal of Analytical Chemistry", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "66"
      }
    ], 
    "name": "Dependence of the efficiency of a capillary column in gas chromatography on the relative pressure of the carrier gas", 
    "pagination": "184-188", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a7517de7a35fc4cd44f0f33e848f77d689105b6ba85567d841169af71fd96e99"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s1061934811020080"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1035123923"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s1061934811020080", 
      "https://app.dimensions.ai/details/publication/pub.1035123923"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:58", 
    "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/v90/0000000001_0000000264/records_8700_00000506.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134%2FS1061934811020080"
  }
]
 

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/s1061934811020080'

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/s1061934811020080'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s1061934811020080'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s1061934811020080'


 

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

98 TRIPLES      21 PREDICATES      32 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s1061934811020080 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author N49f2190b90b84dbfa87913d02844f3c2
4 schema:citation sg:pub.10.1038/180702b0
5 https://doi.org/10.1016/0009-2509(56)80003-1
6 https://doi.org/10.1016/s0021-9673(00)80294-0
7 https://doi.org/10.1016/s0021-9673(00)95085-4
8 https://doi.org/10.1021/ac60163a043
9 schema:datePublished 2011-02
10 schema:datePublishedReg 2011-02-01
11 schema:description The effect of relative pressure on the efficiency of an open capillary column in gas chromatography was studied. It was shown that the relative pressure was not the only parameter determining the column efficiency. The pressure drop in the column is an additional parameter. At high values of relative pressure, the pressure drop in the column becomes determining for the column efficiency. The smallest value of a height equivalent to a theoretical plate (HETP) is achieved at the minimum values of the pressure drop and the relative pressure, which is accompanied by a decrease in the optimal flow rate of the carrier gas and an increase in the time of determination. The maximum improvement in the column efficiency is determined by the column properties and can exceed 12.5%, that is, the value predicted by Cramers for open capillary columns.
12 schema:genre research_article
13 schema:inLanguage en
14 schema:isAccessibleForFree false
15 schema:isPartOf N911aeaf1d1f641129969aa2ab46fa0a5
16 N962a4fb46c8e4d55b2bedcbfd4510ba6
17 sg:journal.1017946
18 schema:name Dependence of the efficiency of a capillary column in gas chromatography on the relative pressure of the carrier gas
19 schema:pagination 184-188
20 schema:productId N4f240281c0524393a7619ae49966c0ab
21 Nce4deacd350342d5a36da76427c368ca
22 Nd8274eb8480d4c32857f66557ebc7aec
23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035123923
24 https://doi.org/10.1134/s1061934811020080
25 schema:sdDatePublished 2019-04-11T01:58
26 schema:sdLicense https://scigraph.springernature.com/explorer/license/
27 schema:sdPublisher N22c7b1371d5647e1978a045c0191e735
28 schema:url http://link.springer.com/10.1134%2FS1061934811020080
29 sgo:license sg:explorer/license/
30 sgo:sdDataset articles
31 rdf:type schema:ScholarlyArticle
32 N074691a368e74294920e6d7b5b63f796 rdf:first sg:person.016163553457.07
33 rdf:rest N195e113fc35646408ca3e59f3ff7e4ab
34 N195e113fc35646408ca3e59f3ff7e4ab rdf:first sg:person.01123707162.15
35 rdf:rest N7825bd6945f94245b5e938216f615d1a
36 N22c7b1371d5647e1978a045c0191e735 schema:name Springer Nature - SN SciGraph project
37 rdf:type schema:Organization
38 N49f2190b90b84dbfa87913d02844f3c2 rdf:first sg:person.0761776377.67
39 rdf:rest N074691a368e74294920e6d7b5b63f796
40 N4f240281c0524393a7619ae49966c0ab schema:name dimensions_id
41 schema:value pub.1035123923
42 rdf:type schema:PropertyValue
43 N7825bd6945f94245b5e938216f615d1a rdf:first sg:person.01240135562.44
44 rdf:rest rdf:nil
45 N911aeaf1d1f641129969aa2ab46fa0a5 schema:volumeNumber 66
46 rdf:type schema:PublicationVolume
47 N962a4fb46c8e4d55b2bedcbfd4510ba6 schema:issueNumber 2
48 rdf:type schema:PublicationIssue
49 Nce4deacd350342d5a36da76427c368ca schema:name doi
50 schema:value 10.1134/s1061934811020080
51 rdf:type schema:PropertyValue
52 Nd8274eb8480d4c32857f66557ebc7aec schema:name readcube_id
53 schema:value a7517de7a35fc4cd44f0f33e848f77d689105b6ba85567d841169af71fd96e99
54 rdf:type schema:PropertyValue
55 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
56 schema:name Engineering
57 rdf:type schema:DefinedTerm
58 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
59 schema:name Interdisciplinary Engineering
60 rdf:type schema:DefinedTerm
61 sg:journal.1017946 schema:issn 1061-9348
62 1608-3199
63 schema:name Journal of Analytical Chemistry
64 rdf:type schema:Periodical
65 sg:person.01123707162.15 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
66 schema:familyName Popova
67 schema:givenName T. P.
68 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123707162.15
69 rdf:type schema:Person
70 sg:person.01240135562.44 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
71 schema:familyName Kurganov
72 schema:givenName A. A.
73 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240135562.44
74 rdf:type schema:Person
75 sg:person.016163553457.07 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
76 schema:familyName Shiryaeva
77 schema:givenName V. E.
78 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016163553457.07
79 rdf:type schema:Person
80 sg:person.0761776377.67 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
81 schema:familyName Korolev
82 schema:givenName A. A.
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761776377.67
84 rdf:type schema:Person
85 sg:pub.10.1038/180702b0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016342015
86 https://doi.org/10.1038/180702b0
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1016/0009-2509(56)80003-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011696863
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1016/s0021-9673(00)80294-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034663117
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1016/s0021-9673(00)95085-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051460865
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1021/ac60163a043 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055039375
95 rdf:type schema:CreativeWork
96 https://www.grid.ac/institutes/grid.4886.2 schema:alternateName Russian Academy of Sciences
97 schema:name A.V. Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Leninskii pr. 29, 119991, Moscow, Russia
98 rdf:type schema:Organization
 




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


...