Porous structure of the monolithic sorbent and separation properties of monolithic capillary columns in gas and liquid chromatography View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-08

AUTHORS

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

ABSTRACT

Macroporous polymer based on polydivinylbenzene was used for the preparation of monolithic capillary columns with the diameter from 0.01 to 0.53 mm for separations by gas and liquid chromatography. The separation properties of the columns were studied by analysis of model systems of aromatic (in liquid chromatography) and light (in gas chromatography) hydrocarbons. The permeability was determined and the C parameter of the Van-Deemter equation was found for each column. The permeability of the majority of columns determined by gas chromatography is independent of the column diameter. The permeability of the same columns in liquid chromatography is also almost constant for the columns 0.53–0.1 mm in diameter; however, the permeability decreases sharply on going to columns of smaller diameter. In gas chromatography the value of the C parameter reflecting the effect of the mass transfer of the sorbate between the mobile and stationary phases on the smearing of a chromatographic peak in the column approximately the same for all columns. In liquid chromatography the value of the C coefficient in the Van-Deemter equation for the same capillary columns changes with a change in the column diameter and reaches a minimum for the columns 0.1 mm in diameter. The differences observed for the characteristics of the columns in gas and liquid chromatography are due to different structures of the macroporous monolith formed in columns of different diameter and to the effect of solvation of the monolith by the mobile phase under the conditions of liquid chromatography. More... »

PAGES

1660-1664

Journal

TITLE

Russian Chemical Bulletin

ISSUE

8

VOLUME

59

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11172-010-0291-0

DOI

http://dx.doi.org/10.1007/s11172-010-0291-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024224382


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": [
            "A. V. Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 29 Leninsky prosp., 119991, Moscow, Russian Federation"
          ], 
          "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, 29 Leninsky prosp., 119991, Moscow, Russian Federation"
          ], 
          "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": [
            "A. V. Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 29 Leninsky prosp., 119991, Moscow, Russian Federation"
          ], 
          "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, 29 Leninsky prosp., 119991, Moscow, Russian Federation"
          ], 
          "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": [
            "A. V. Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 29 Leninsky prosp., 119991, Moscow, Russian Federation"
          ], 
          "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/10.1002/elps.200800040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032854077"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-08", 
    "datePublishedReg": "2010-08-01", 
    "description": "Macroporous polymer based on polydivinylbenzene was used for the preparation of monolithic capillary columns with the diameter from 0.01 to 0.53 mm for separations by gas and liquid chromatography. The separation properties of the columns were studied by analysis of model systems of aromatic (in liquid chromatography) and light (in gas chromatography) hydrocarbons. The permeability was determined and the C parameter of the Van-Deemter equation was found for each column. The permeability of the majority of columns determined by gas chromatography is independent of the column diameter. The permeability of the same columns in liquid chromatography is also almost constant for the columns 0.53\u20130.1 mm in diameter; however, the permeability decreases sharply on going to columns of smaller diameter. In gas chromatography the value of the C parameter reflecting the effect of the mass transfer of the sorbate between the mobile and stationary phases on the smearing of a chromatographic peak in the column approximately the same for all columns. In liquid chromatography the value of the C coefficient in the Van-Deemter equation for the same capillary columns changes with a change in the column diameter and reaches a minimum for the columns 0.1 mm in diameter. The differences observed for the characteristics of the columns in gas and liquid chromatography are due to different structures of the macroporous monolith formed in columns of different diameter and to the effect of solvation of the monolith by the mobile phase under the conditions of liquid chromatography.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11172-010-0291-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1022309", 
        "issn": [
          "1066-5285", 
          "1573-9171"
        ], 
        "name": "Russian Chemical Bulletin", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "8", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "59"
      }
    ], 
    "name": "Porous structure of the monolithic sorbent and separation properties of monolithic capillary columns in gas and liquid chromatography", 
    "pagination": "1660-1664", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7368727ceca31655abae40100d57dfa309af3a76e9019daa07870ad168ac570f"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11172-010-0291-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1024224382"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11172-010-0291-0", 
      "https://app.dimensions.ai/details/publication/pub.1024224382"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:05", 
    "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/v90/0000000352_0000000352/records_60372_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11172-010-0291-0"
  }
]
 

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.10.1007/s11172-010-0291-0'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11172-010-0291-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11172-010-0291-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11172-010-0291-0'


 

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.10.1007/s11172-010-0291-0 schema:about anzsrc-for:03
2 anzsrc-for:0301
3 schema:author Nd572ed0d6a1c45f5af0c57b2ba211441
4 schema:citation https://doi.org/10.1002/elps.200800040
5 https://doi.org/10.1016/j.chroma.2007.02.004
6 https://doi.org/10.1016/s0021-9673(01)01227-4
7 https://doi.org/10.1016/s0021-9673(01)01580-1
8 schema:datePublished 2010-08
9 schema:datePublishedReg 2010-08-01
10 schema:description Macroporous polymer based on polydivinylbenzene was used for the preparation of monolithic capillary columns with the diameter from 0.01 to 0.53 mm for separations by gas and liquid chromatography. The separation properties of the columns were studied by analysis of model systems of aromatic (in liquid chromatography) and light (in gas chromatography) hydrocarbons. The permeability was determined and the C parameter of the Van-Deemter equation was found for each column. The permeability of the majority of columns determined by gas chromatography is independent of the column diameter. The permeability of the same columns in liquid chromatography is also almost constant for the columns 0.53–0.1 mm in diameter; however, the permeability decreases sharply on going to columns of smaller diameter. In gas chromatography the value of the C parameter reflecting the effect of the mass transfer of the sorbate between the mobile and stationary phases on the smearing of a chromatographic peak in the column approximately the same for all columns. In liquid chromatography the value of the C coefficient in the Van-Deemter equation for the same capillary columns changes with a change in the column diameter and reaches a minimum for the columns 0.1 mm in diameter. The differences observed for the characteristics of the columns in gas and liquid chromatography are due to different structures of the macroporous monolith formed in columns of different diameter and to the effect of solvation of the monolith by the mobile phase under the conditions of liquid chromatography.
11 schema:genre research_article
12 schema:inLanguage en
13 schema:isAccessibleForFree false
14 schema:isPartOf N817acd859a5e4cfbb4160492337397f6
15 Ndc04acc11c354653a47eb4adbd70752a
16 sg:journal.1022309
17 schema:name Porous structure of the monolithic sorbent and separation properties of monolithic capillary columns in gas and liquid chromatography
18 schema:pagination 1660-1664
19 schema:productId N6db2a1da40464698bbcdb6ce224273c2
20 N6f04d102c428419bbfeafea034fbb8bf
21 Nfb19e4b0af344022815ed12d7e78e586
22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024224382
23 https://doi.org/10.1007/s11172-010-0291-0
24 schema:sdDatePublished 2019-04-11T11:05
25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
26 schema:sdPublisher Nec72a8005d934c849c76365cdb0d097d
27 schema:url http://link.springer.com/10.1007%2Fs11172-010-0291-0
28 sgo:license sg:explorer/license/
29 sgo:sdDataset articles
30 rdf:type schema:ScholarlyArticle
31 N3e09f6671cea4999af3f6b3674894b0b rdf:first sg:person.01021243335.32
32 rdf:rest Nc7f08193381b403db9f2948103017d4e
33 N50cd0d828ffc40ee900ef0808f2ea639 rdf:first sg:person.01055573762.38
34 rdf:rest N804b49f88a1b4698802bbd0bc79c331f
35 N6db2a1da40464698bbcdb6ce224273c2 schema:name readcube_id
36 schema:value 7368727ceca31655abae40100d57dfa309af3a76e9019daa07870ad168ac570f
37 rdf:type schema:PropertyValue
38 N6f04d102c428419bbfeafea034fbb8bf schema:name dimensions_id
39 schema:value pub.1024224382
40 rdf:type schema:PropertyValue
41 N804b49f88a1b4698802bbd0bc79c331f rdf:first sg:person.01123707162.15
42 rdf:rest N3e09f6671cea4999af3f6b3674894b0b
43 N817acd859a5e4cfbb4160492337397f6 schema:issueNumber 8
44 rdf:type schema:PublicationIssue
45 Nc7f08193381b403db9f2948103017d4e rdf:first sg:person.01240135562.44
46 rdf:rest rdf:nil
47 Nd572ed0d6a1c45f5af0c57b2ba211441 rdf:first sg:person.0761776377.67
48 rdf:rest N50cd0d828ffc40ee900ef0808f2ea639
49 Ndc04acc11c354653a47eb4adbd70752a schema:volumeNumber 59
50 rdf:type schema:PublicationVolume
51 Nec72a8005d934c849c76365cdb0d097d schema:name Springer Nature - SN SciGraph project
52 rdf:type schema:Organization
53 Nfb19e4b0af344022815ed12d7e78e586 schema:name doi
54 schema:value 10.1007/s11172-010-0291-0
55 rdf:type schema:PropertyValue
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.1022309 schema:issn 1066-5285
63 1573-9171
64 schema:name Russian Chemical Bulletin
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/10.1002/elps.200800040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032854077
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1016/j.chroma.2007.02.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026035470
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1016/s0021-9673(01)01227-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014794297
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1016/s0021-9673(01)01580-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028695017
98 rdf:type schema:CreativeWork
99 https://www.grid.ac/institutes/grid.4886.2 schema:alternateName Russian Academy of Sciences
100 schema:name A. V. Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 29 Leninsky prosp., 119991, Moscow, Russian Federation
101 rdf:type schema:Organization
 




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


...