Influence of the diameter of monolithic capillary columns on their gas chromatography characteristics View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-01

AUTHORS

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

ABSTRACT

Divinylbenzene polymer monolithic capillary columns were prepared on the basis of capillaries 0.01 to 0.53 mm in diameter. Separation properties of the columns were investigated with the use of a test mixture of light hydrocarbons. The permeability and C parameter in the Van Deemter equation were determined for all the columns. For the most part, the columns had similar characteristics: permeability was in the range (2.2 ± 0.2) × 10−9 cm2, with parameter C in the range (0.7 ± 0.2) × 10−3 s (with n-butane as a sorbate). It was thus established that capillary diameter has only a slight effect on the efficiency of monolithic capillary columns (unlike packed capillary columns and microcolumns, whose properties, according to the literature data, depend strongly on the column diameter). The difference in properties between the narrowest monolithic column (capillary diameter 0.01 mm) and the others is explained by column overloading. More... »

PAGES

668-672

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0036024410040254

DOI

http://dx.doi.org/10.1134/s0036024410040254

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044539938


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": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119992, 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": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119992, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shiryaeva", 
        "givenName": "V. E.", 
        "id": "sg:person.01055573762.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055573762.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119992, 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": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119992, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Viktorova", 
        "givenName": "E. N.", 
        "id": "sg:person.01021243335.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021243335.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119992, 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/s0021-9673(01)01227-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014794297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2007.02.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026035470"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(01)01580-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028695017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(96)00510-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040342744"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-01", 
    "datePublishedReg": "2010-01-01", 
    "description": "Divinylbenzene polymer monolithic capillary columns were prepared on the basis of capillaries 0.01 to 0.53 mm in diameter. Separation properties of the columns were investigated with the use of a test mixture of light hydrocarbons. The permeability and C parameter in the Van Deemter equation were determined for all the columns. For the most part, the columns had similar characteristics: permeability was in the range (2.2 \u00b1 0.2) \u00d7 10\u22129 cm2, with parameter C in the range (0.7 \u00b1 0.2) \u00d7 10\u22123 s (with n-butane as a sorbate). It was thus established that capillary diameter has only a slight effect on the efficiency of monolithic capillary columns (unlike packed capillary columns and microcolumns, whose properties, according to the literature data, depend strongly on the column diameter). The difference in properties between the narrowest monolithic column (capillary diameter 0.01 mm) and the others is explained by column overloading.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s0036024410040254", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1327871", 
        "issn": [
          "0036-0244", 
          "0044-4537"
        ], 
        "name": "Russian Journal of Physical Chemistry A", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "84"
      }
    ], 
    "name": "Influence of the diameter of monolithic capillary columns on their gas chromatography characteristics", 
    "pagination": "668-672", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d428cd587cec23a213d43f18c062e1cd0e4d8db422bdf9aab11ede7f04df1bdf"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0036024410040254"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1044539938"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0036024410040254", 
      "https://app.dimensions.ai/details/publication/pub.1044539938"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:59", 
    "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_8663_00000507.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134/S0036024410040254"
  }
]
 

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/s0036024410040254'

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/s0036024410040254'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0036024410040254'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0036024410040254'


 

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

101 TRIPLES      21 PREDICATES      31 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0036024410040254 schema:about anzsrc-for:03
2 anzsrc-for:0301
3 schema:author Ne6364465b6eb4ef6a0d6d4e99f4cad7a
4 schema:citation https://doi.org/10.1016/j.chroma.2007.02.004
5 https://doi.org/10.1016/s0021-9673(01)01227-4
6 https://doi.org/10.1016/s0021-9673(01)01580-1
7 https://doi.org/10.1016/s0021-9673(96)00510-9
8 schema:datePublished 2010-01
9 schema:datePublishedReg 2010-01-01
10 schema:description Divinylbenzene polymer monolithic capillary columns were prepared on the basis of capillaries 0.01 to 0.53 mm in diameter. Separation properties of the columns were investigated with the use of a test mixture of light hydrocarbons. The permeability and C parameter in the Van Deemter equation were determined for all the columns. For the most part, the columns had similar characteristics: permeability was in the range (2.2 ± 0.2) × 10−9 cm2, with parameter C in the range (0.7 ± 0.2) × 10−3 s (with n-butane as a sorbate). It was thus established that capillary diameter has only a slight effect on the efficiency of monolithic capillary columns (unlike packed capillary columns and microcolumns, whose properties, according to the literature data, depend strongly on the column diameter). The difference in properties between the narrowest monolithic column (capillary diameter 0.01 mm) and the others is explained by column overloading.
11 schema:genre research_article
12 schema:inLanguage en
13 schema:isAccessibleForFree false
14 schema:isPartOf N70bcac1e123544e58afb94c6183d8981
15 Ncf815ec6c53747beb2460d8244c6b322
16 sg:journal.1327871
17 schema:name Influence of the diameter of monolithic capillary columns on their gas chromatography characteristics
18 schema:pagination 668-672
19 schema:productId N3003c0ec2cc84a2bb78483431ad7280f
20 N40cc51838ea24592afa1e0d629b7bb0f
21 Ne29e8cd0ef5944c6afb9a350b529e51e
22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044539938
23 https://doi.org/10.1134/s0036024410040254
24 schema:sdDatePublished 2019-04-10T14:59
25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
26 schema:sdPublisher Ne3cfe958f8d7405093c3bbf3f3c27667
27 schema:url http://link.springer.com/10.1134/S0036024410040254
28 sgo:license sg:explorer/license/
29 sgo:sdDataset articles
30 rdf:type schema:ScholarlyArticle
31 N3003c0ec2cc84a2bb78483431ad7280f schema:name dimensions_id
32 schema:value pub.1044539938
33 rdf:type schema:PropertyValue
34 N40cc51838ea24592afa1e0d629b7bb0f schema:name readcube_id
35 schema:value d428cd587cec23a213d43f18c062e1cd0e4d8db422bdf9aab11ede7f04df1bdf
36 rdf:type schema:PropertyValue
37 N5b5b7992ea00477ab078bffde017bad0 rdf:first sg:person.01055573762.38
38 rdf:rest N792e639c819a4ae3a52cb4e3cc4d28e1
39 N70bcac1e123544e58afb94c6183d8981 schema:volumeNumber 84
40 rdf:type schema:PublicationVolume
41 N7103a6a56525418a94d55c2236ea3f7b rdf:first sg:person.01240135562.44
42 rdf:rest rdf:nil
43 N792e639c819a4ae3a52cb4e3cc4d28e1 rdf:first sg:person.01123707162.15
44 rdf:rest Nb8a7bf144f694f9195cce404adba2a0d
45 Nb8a7bf144f694f9195cce404adba2a0d rdf:first sg:person.01021243335.32
46 rdf:rest N7103a6a56525418a94d55c2236ea3f7b
47 Ncf815ec6c53747beb2460d8244c6b322 schema:issueNumber 4
48 rdf:type schema:PublicationIssue
49 Ne29e8cd0ef5944c6afb9a350b529e51e schema:name doi
50 schema:value 10.1134/s0036024410040254
51 rdf:type schema:PropertyValue
52 Ne3cfe958f8d7405093c3bbf3f3c27667 schema:name Springer Nature - SN SciGraph project
53 rdf:type schema:Organization
54 Ne6364465b6eb4ef6a0d6d4e99f4cad7a rdf:first sg:person.0761776377.67
55 rdf:rest N5b5b7992ea00477ab078bffde017bad0
56 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
57 schema:name Chemical Sciences
58 rdf:type schema:DefinedTerm
59 anzsrc-for:0301 schema:inDefinedTermSet anzsrc-for:
60 schema:name Analytical Chemistry
61 rdf:type schema:DefinedTerm
62 sg:journal.1327871 schema:issn 0036-0244
63 0044-4537
64 schema:name Russian Journal of Physical Chemistry A
65 rdf:type schema:Periodical
66 sg:person.01021243335.32 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
67 schema:familyName Viktorova
68 schema:givenName E. N.
69 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021243335.32
70 rdf:type schema:Person
71 sg:person.01055573762.38 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
72 schema:familyName Shiryaeva
73 schema:givenName V. E.
74 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055573762.38
75 rdf:type schema:Person
76 sg:person.01123707162.15 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
77 schema:familyName Popova
78 schema:givenName T. P.
79 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01123707162.15
80 rdf:type schema:Person
81 sg:person.01240135562.44 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
82 schema:familyName Kurganov
83 schema:givenName A. A.
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240135562.44
85 rdf:type schema:Person
86 sg:person.0761776377.67 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
87 schema:familyName Korolev
88 schema:givenName A. A.
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761776377.67
90 rdf:type schema:Person
91 https://doi.org/10.1016/j.chroma.2007.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026035470
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1016/s0021-9673(01)01227-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014794297
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1016/s0021-9673(01)01580-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028695017
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1016/s0021-9673(96)00510-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040342744
98 rdf:type schema:CreativeWork
99 https://www.grid.ac/institutes/grid.4886.2 schema:alternateName Russian Academy of Sciences
100 schema:name Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119992, Moscow, Russia
101 rdf:type schema:Organization
 




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


...