Effect of the nature of a porogen on the porous structure of monolithic polydivinylbenzene sorbents View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-05

AUTHORS

E. N. Viktorova, A. A. Korolev, T. R. Ibragimov, A. A. Kurganov

ABSTRACT

In quartz capillaries, macroporous monolithic sorbents based on divinylbenzene are synthesized and their porous structure is studied via inverse size-exclusion-hydrodynamic chromatography. Either a single-component porogen (a higher alcohol) or a two-component porogen (a mixture of a higher alcohol and mesitylene) is used for the synthesis of monoliths. The removal of a solvent good for a polymer from a porogen results in an increase in the size of flow-through channels and a decrease in the free-space volume inside the monolith; this space is used for the separation of polymer sorbates (the working volume of a column). At the same time, the volume of micro- and mesopores in the monolith structure is practically independent of the content of the good solvent in the porogen. It is inferred that the good porogen plays an active role in formation of the macroporous structure of monoliths. The structure of monoliths obtained on the basis of the two-component porogen with the use of nonanol and mesitylene or toluene is optimum for the molecular-mass analysis of polymers. More... »

PAGES

385-392

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0965545x12050124

DOI

http://dx.doi.org/10.1134/s0965545x12050124

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036388926


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/2008/0303", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Macromolecular and Materials 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, Leninskii pr. 29, 119991, 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, 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": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Leninskii pr. 29, 119991, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ibragimov", 
        "givenName": "T. R.", 
        "id": "sg:person.01076224777.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076224777.00"
        ], 
        "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, 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": "sg:pub.10.1134/s0965545x06080025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000213924", 
          "https://doi.org/10.1134/s0965545x06080025"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2006.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002106680"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2007.05.090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007885488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac961094r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012059210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac961094r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012059210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(01)00935-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020641761"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0965545x11100117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024711391", 
          "https://doi.org/10.1134/s0965545x11100117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2009.01.079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026085386"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(99)01232-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030222194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(02)01662-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038770566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(02)01662-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038770566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chroma.2006.09.096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046547424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(01)91604-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049932814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0021-9673(02)01271-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053029102"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac00127a030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054974060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac0614902", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054998597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac0614902", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054998597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac9807013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055075520"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ac9807013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055075520"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cm950437j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055417974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cm950437j", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055417974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie970598s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055646750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ie970598s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055646750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bk-1984-0243.ch001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1089374286"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-05", 
    "datePublishedReg": "2012-05-01", 
    "description": "In quartz capillaries, macroporous monolithic sorbents based on divinylbenzene are synthesized and their porous structure is studied via inverse size-exclusion-hydrodynamic chromatography. Either a single-component porogen (a higher alcohol) or a two-component porogen (a mixture of a higher alcohol and mesitylene) is used for the synthesis of monoliths. The removal of a solvent good for a polymer from a porogen results in an increase in the size of flow-through channels and a decrease in the free-space volume inside the monolith; this space is used for the separation of polymer sorbates (the working volume of a column). At the same time, the volume of micro- and mesopores in the monolith structure is practically independent of the content of the good solvent in the porogen. It is inferred that the good porogen plays an active role in formation of the macroporous structure of monoliths. The structure of monoliths obtained on the basis of the two-component porogen with the use of nonanol and mesitylene or toluene is optimum for the molecular-mass analysis of polymers.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s0965545x12050124", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1043515", 
        "issn": [
          "1757-1820", 
          "1555-6107"
        ], 
        "name": "Polymer Science, Series A", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "54"
      }
    ], 
    "name": "Effect of the nature of a porogen on the porous structure of monolithic polydivinylbenzene sorbents", 
    "pagination": "385-392", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ad57eb1cc2921b4b693e5e97fea460be13d59ef8bc0ed83968db14bef0053128"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0965545x12050124"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1036388926"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0965545x12050124", 
      "https://app.dimensions.ai/details/publication/pub.1036388926"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T21:35", 
    "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_8687_00000506.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134/S0965545X12050124"
  }
]
 

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/s0965545x12050124'

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/s0965545x12050124'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0965545x12050124'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0965545x12050124'


 

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

138 TRIPLES      21 PREDICATES      45 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0965545x12050124 schema:about anzsrc-for:03
2 anzsrc-for:0303
3 schema:author N65b41b5cc2f0480fbff461530f1daee0
4 schema:citation sg:pub.10.1134/s0965545x06080025
5 sg:pub.10.1134/s0965545x11100117
6 https://doi.org/10.1016/j.chroma.2006.09.096
7 https://doi.org/10.1016/j.chroma.2006.11.007
8 https://doi.org/10.1016/j.chroma.2007.05.090
9 https://doi.org/10.1016/j.chroma.2009.01.079
10 https://doi.org/10.1016/s0021-9673(01)00935-9
11 https://doi.org/10.1016/s0021-9673(01)91604-8
12 https://doi.org/10.1016/s0021-9673(02)01271-2
13 https://doi.org/10.1016/s0021-9673(02)01662-x
14 https://doi.org/10.1016/s0021-9673(99)01232-7
15 https://doi.org/10.1021/ac00127a030
16 https://doi.org/10.1021/ac0614902
17 https://doi.org/10.1021/ac961094r
18 https://doi.org/10.1021/ac9807013
19 https://doi.org/10.1021/bk-1984-0243.ch001
20 https://doi.org/10.1021/cm950437j
21 https://doi.org/10.1021/ie970598s
22 schema:datePublished 2012-05
23 schema:datePublishedReg 2012-05-01
24 schema:description In quartz capillaries, macroporous monolithic sorbents based on divinylbenzene are synthesized and their porous structure is studied via inverse size-exclusion-hydrodynamic chromatography. Either a single-component porogen (a higher alcohol) or a two-component porogen (a mixture of a higher alcohol and mesitylene) is used for the synthesis of monoliths. The removal of a solvent good for a polymer from a porogen results in an increase in the size of flow-through channels and a decrease in the free-space volume inside the monolith; this space is used for the separation of polymer sorbates (the working volume of a column). At the same time, the volume of micro- and mesopores in the monolith structure is practically independent of the content of the good solvent in the porogen. It is inferred that the good porogen plays an active role in formation of the macroporous structure of monoliths. The structure of monoliths obtained on the basis of the two-component porogen with the use of nonanol and mesitylene or toluene is optimum for the molecular-mass analysis of polymers.
25 schema:genre research_article
26 schema:inLanguage en
27 schema:isAccessibleForFree false
28 schema:isPartOf N73a05baad59e4e078ccfeddffb66c25e
29 N7a44875918544d98a90753a306b8e6c8
30 sg:journal.1043515
31 schema:name Effect of the nature of a porogen on the porous structure of monolithic polydivinylbenzene sorbents
32 schema:pagination 385-392
33 schema:productId N0e3b48c2ae1d48fb9a004c8b98261b41
34 N2ef1fd449a52411e944328f65bde3e15
35 N9f55bec0fe944571b2810ec4aeb01ca3
36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036388926
37 https://doi.org/10.1134/s0965545x12050124
38 schema:sdDatePublished 2019-04-10T21:35
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher N9eb13c11b63f43a08e65a34a9424fabc
41 schema:url http://link.springer.com/10.1134/S0965545X12050124
42 sgo:license sg:explorer/license/
43 sgo:sdDataset articles
44 rdf:type schema:ScholarlyArticle
45 N0e3b48c2ae1d48fb9a004c8b98261b41 schema:name dimensions_id
46 schema:value pub.1036388926
47 rdf:type schema:PropertyValue
48 N2c9e69c452d248af8898597e03492c9b rdf:first sg:person.01240135562.44
49 rdf:rest rdf:nil
50 N2ef1fd449a52411e944328f65bde3e15 schema:name readcube_id
51 schema:value ad57eb1cc2921b4b693e5e97fea460be13d59ef8bc0ed83968db14bef0053128
52 rdf:type schema:PropertyValue
53 N5a351ff6b2e54496a32cec1041cb87ca rdf:first sg:person.01076224777.00
54 rdf:rest N2c9e69c452d248af8898597e03492c9b
55 N65b41b5cc2f0480fbff461530f1daee0 rdf:first sg:person.01021243335.32
56 rdf:rest Nf43b8dcdf9db41088d6c99faca6b58f6
57 N73a05baad59e4e078ccfeddffb66c25e schema:issueNumber 5
58 rdf:type schema:PublicationIssue
59 N7a44875918544d98a90753a306b8e6c8 schema:volumeNumber 54
60 rdf:type schema:PublicationVolume
61 N9eb13c11b63f43a08e65a34a9424fabc schema:name Springer Nature - SN SciGraph project
62 rdf:type schema:Organization
63 N9f55bec0fe944571b2810ec4aeb01ca3 schema:name doi
64 schema:value 10.1134/s0965545x12050124
65 rdf:type schema:PropertyValue
66 Nf43b8dcdf9db41088d6c99faca6b58f6 rdf:first sg:person.0761776377.67
67 rdf:rest N5a351ff6b2e54496a32cec1041cb87ca
68 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
69 schema:name Chemical Sciences
70 rdf:type schema:DefinedTerm
71 anzsrc-for:0303 schema:inDefinedTermSet anzsrc-for:
72 schema:name Macromolecular and Materials Chemistry
73 rdf:type schema:DefinedTerm
74 sg:journal.1043515 schema:issn 1555-6107
75 1757-1820
76 schema:name Polymer Science, Series A
77 rdf:type schema:Periodical
78 sg:person.01021243335.32 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
79 schema:familyName Viktorova
80 schema:givenName E. N.
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021243335.32
82 rdf:type schema:Person
83 sg:person.01076224777.00 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
84 schema:familyName Ibragimov
85 schema:givenName T. R.
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076224777.00
87 rdf:type schema:Person
88 sg:person.01240135562.44 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
89 schema:familyName Kurganov
90 schema:givenName A. A.
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240135562.44
92 rdf:type schema:Person
93 sg:person.0761776377.67 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
94 schema:familyName Korolev
95 schema:givenName A. A.
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761776377.67
97 rdf:type schema:Person
98 sg:pub.10.1134/s0965545x06080025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000213924
99 https://doi.org/10.1134/s0965545x06080025
100 rdf:type schema:CreativeWork
101 sg:pub.10.1134/s0965545x11100117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024711391
102 https://doi.org/10.1134/s0965545x11100117
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1016/j.chroma.2006.09.096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046547424
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1016/j.chroma.2006.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002106680
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1016/j.chroma.2007.05.090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007885488
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1016/j.chroma.2009.01.079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026085386
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/s0021-9673(01)00935-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020641761
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/s0021-9673(01)91604-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049932814
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/s0021-9673(02)01271-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053029102
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/s0021-9673(02)01662-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1038770566
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/s0021-9673(99)01232-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030222194
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1021/ac00127a030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054974060
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1021/ac0614902 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054998597
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1021/ac961094r schema:sameAs https://app.dimensions.ai/details/publication/pub.1012059210
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1021/ac9807013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055075520
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1021/bk-1984-0243.ch001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1089374286
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1021/cm950437j schema:sameAs https://app.dimensions.ai/details/publication/pub.1055417974
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1021/ie970598s schema:sameAs https://app.dimensions.ai/details/publication/pub.1055646750
135 rdf:type schema:CreativeWork
136 https://www.grid.ac/institutes/grid.4886.2 schema:alternateName Russian Academy of Sciences
137 schema:name Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Leninskii pr. 29, 119991, Moscow, Russia
138 rdf:type schema:Organization
 




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


...