A Simple Method for Estimating the Solubility Parameter of Small Molecules and Polymeric Materials View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-01

AUTHORS

A. M. Gyulmaliev, L. A. Zekel’, A. U. Dandaev, A. E. Batov, M. Kh. Kadieva, E. E. Magomadov, Kh. M. Kadiev

ABSTRACT

The study relates to the problem of selecting a solvent for organic polymers during their chemical processing. Based on the method of Askadsky, simple schemes were proposed for calculating the solubility parameter of small molecules and polymeric materials using the structural elements of molecules. On the example of small molecules and polymers it was shown that the constructed methods are not inferior in accuracy to methods of Askadsky, Small, and Van Krevelen. The proposed schemes make it possible to calculate the solubility parameter and find acceptable solvents for a polymer material with a known value of the solubility parameter. The schemes were tested on specific examples and the possibility of their application for the selection of a solvent was demonstrated. More... »

PAGES

51-59

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s1070427221010080

DOI

http://dx.doi.org/10.1134/s1070427221010080

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1136303199


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/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gyulmaliev", 
        "givenName": "A. M.", 
        "id": "sg:person.011577241722.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011577241722.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zekel\u2019", 
        "givenName": "L. A.", 
        "id": "sg:person.012733636407.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012733636407.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dandaev", 
        "givenName": "A. U.", 
        "id": "sg:person.015334772771.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015334772771.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Batov", 
        "givenName": "A. E.", 
        "id": "sg:person.012257057735.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012257057735.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kadieva", 
        "givenName": "M. Kh.", 
        "id": "sg:person.010431675375.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010431675375.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Magomadov", 
        "givenName": "E. E.", 
        "id": "sg:person.010334416261.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010334416261.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kadiev", 
        "givenName": "Kh. M.", 
        "id": "sg:person.012531050145.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012531050145.44"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1134/s0965544116090073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053784758", 
          "https://doi.org/10.1134/s0965544116090073"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-01", 
    "datePublishedReg": "2021-01-01", 
    "description": "The study relates to the problem of selecting a solvent for organic polymers during their chemical processing. Based on the method of Askadsky, simple schemes were proposed for calculating the solubility parameter of small molecules and polymeric materials using the structural elements of molecules. On the example of small molecules and polymers it was shown that the constructed methods are not inferior in accuracy to methods of Askadsky, Small, and Van Krevelen. The proposed schemes make it possible to calculate the solubility parameter and find acceptable solvents for a polymer material with a known value of the solubility parameter. The schemes were tested on specific examples and the possibility of their application for the selection of a solvent was demonstrated.", 
    "genre": "article", 
    "id": "sg:pub.10.1134/s1070427221010080", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1121207", 
        "issn": [
          "0044-4618", 
          "2314-6923"
        ], 
        "name": "Russian Journal of Applied Chemistry", 
        "publisher": "Pleiades Publishing", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "94"
      }
    ], 
    "keywords": [
      "solubility parameters", 
      "small molecules", 
      "polymeric materials", 
      "organic polymers", 
      "acceptable solvents", 
      "polymer materials", 
      "chemical processing", 
      "solvent", 
      "van Krevelen", 
      "molecules", 
      "polymers", 
      "simple method", 
      "materials", 
      "structural elements", 
      "method", 
      "specific examples", 
      "parameters", 
      "applications", 
      "example", 
      "simple scheme", 
      "values", 
      "possibility", 
      "elements", 
      "study", 
      "processing", 
      "scheme", 
      "accuracy", 
      "selection", 
      "problem", 
      "Small"
    ], 
    "name": "A Simple Method for Estimating the Solubility Parameter of Small Molecules and Polymeric Materials", 
    "pagination": "51-59", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1136303199"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s1070427221010080"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s1070427221010080", 
      "https://app.dimensions.ai/details/publication/pub.1136303199"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:38", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_873.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1134/s1070427221010080"
  }
]
 

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/s1070427221010080'

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/s1070427221010080'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s1070427221010080'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s1070427221010080'


 

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

134 TRIPLES      22 PREDICATES      57 URIs      48 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s1070427221010080 schema:about anzsrc-for:03
2 anzsrc-for:0303
3 schema:author Neadba2347a664ec591d850fc6b216ce3
4 schema:citation sg:pub.10.1134/s0965544116090073
5 schema:datePublished 2021-01
6 schema:datePublishedReg 2021-01-01
7 schema:description The study relates to the problem of selecting a solvent for organic polymers during their chemical processing. Based on the method of Askadsky, simple schemes were proposed for calculating the solubility parameter of small molecules and polymeric materials using the structural elements of molecules. On the example of small molecules and polymers it was shown that the constructed methods are not inferior in accuracy to methods of Askadsky, Small, and Van Krevelen. The proposed schemes make it possible to calculate the solubility parameter and find acceptable solvents for a polymer material with a known value of the solubility parameter. The schemes were tested on specific examples and the possibility of their application for the selection of a solvent was demonstrated.
8 schema:genre article
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N78e37aa99000477998251c59faefc8ad
12 Nc954cbb0f3b849838591476fc60cee74
13 sg:journal.1121207
14 schema:keywords Small
15 acceptable solvents
16 accuracy
17 applications
18 chemical processing
19 elements
20 example
21 materials
22 method
23 molecules
24 organic polymers
25 parameters
26 polymer materials
27 polymeric materials
28 polymers
29 possibility
30 problem
31 processing
32 scheme
33 selection
34 simple method
35 simple scheme
36 small molecules
37 solubility parameters
38 solvent
39 specific examples
40 structural elements
41 study
42 values
43 van Krevelen
44 schema:name A Simple Method for Estimating the Solubility Parameter of Small Molecules and Polymeric Materials
45 schema:pagination 51-59
46 schema:productId N173da2f2022a4b089ddff05c3730e522
47 N61cff73fae904936a7bd6dda3e82c140
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1136303199
49 https://doi.org/10.1134/s1070427221010080
50 schema:sdDatePublished 2022-05-20T07:38
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher N42d0aed2cb6e40ca96a080a1c3baefa5
53 schema:url https://doi.org/10.1134/s1070427221010080
54 sgo:license sg:explorer/license/
55 sgo:sdDataset articles
56 rdf:type schema:ScholarlyArticle
57 N173da2f2022a4b089ddff05c3730e522 schema:name doi
58 schema:value 10.1134/s1070427221010080
59 rdf:type schema:PropertyValue
60 N37dce36bd7f94702a99100966bfd998f rdf:first sg:person.012257057735.83
61 rdf:rest N4307782ff99d4db99ed43b9551efaceb
62 N42d0aed2cb6e40ca96a080a1c3baefa5 schema:name Springer Nature - SN SciGraph project
63 rdf:type schema:Organization
64 N4307782ff99d4db99ed43b9551efaceb rdf:first sg:person.010431675375.32
65 rdf:rest Nbff65cdae7064ceab70df0d365db71b4
66 N61cff73fae904936a7bd6dda3e82c140 schema:name dimensions_id
67 schema:value pub.1136303199
68 rdf:type schema:PropertyValue
69 N6e6033b3514f4424b4cc0c20abbb50ea rdf:first sg:person.012733636407.55
70 rdf:rest N8022a34b7d3e477892406b12980d9101
71 N78e37aa99000477998251c59faefc8ad schema:volumeNumber 94
72 rdf:type schema:PublicationVolume
73 N7b9595c9795f4ac184e2e31267340150 rdf:first sg:person.012531050145.44
74 rdf:rest rdf:nil
75 N8022a34b7d3e477892406b12980d9101 rdf:first sg:person.015334772771.22
76 rdf:rest N37dce36bd7f94702a99100966bfd998f
77 Nbff65cdae7064ceab70df0d365db71b4 rdf:first sg:person.010334416261.46
78 rdf:rest N7b9595c9795f4ac184e2e31267340150
79 Nc954cbb0f3b849838591476fc60cee74 schema:issueNumber 1
80 rdf:type schema:PublicationIssue
81 Neadba2347a664ec591d850fc6b216ce3 rdf:first sg:person.011577241722.70
82 rdf:rest N6e6033b3514f4424b4cc0c20abbb50ea
83 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
84 schema:name Chemical Sciences
85 rdf:type schema:DefinedTerm
86 anzsrc-for:0303 schema:inDefinedTermSet anzsrc-for:
87 schema:name Macromolecular and Materials Chemistry
88 rdf:type schema:DefinedTerm
89 sg:journal.1121207 schema:issn 0044-4618
90 2314-6923
91 schema:name Russian Journal of Applied Chemistry
92 schema:publisher Pleiades Publishing
93 rdf:type schema:Periodical
94 sg:person.010334416261.46 schema:affiliation grid-institutes:grid.423490.8
95 schema:familyName Magomadov
96 schema:givenName E. E.
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010334416261.46
98 rdf:type schema:Person
99 sg:person.010431675375.32 schema:affiliation grid-institutes:grid.423490.8
100 schema:familyName Kadieva
101 schema:givenName M. Kh.
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010431675375.32
103 rdf:type schema:Person
104 sg:person.011577241722.70 schema:affiliation grid-institutes:grid.423490.8
105 schema:familyName Gyulmaliev
106 schema:givenName A. M.
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011577241722.70
108 rdf:type schema:Person
109 sg:person.012257057735.83 schema:affiliation grid-institutes:grid.423490.8
110 schema:familyName Batov
111 schema:givenName A. E.
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012257057735.83
113 rdf:type schema:Person
114 sg:person.012531050145.44 schema:affiliation grid-institutes:grid.423490.8
115 schema:familyName Kadiev
116 schema:givenName Kh. M.
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012531050145.44
118 rdf:type schema:Person
119 sg:person.012733636407.55 schema:affiliation grid-institutes:grid.423490.8
120 schema:familyName Zekel’
121 schema:givenName L. A.
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012733636407.55
123 rdf:type schema:Person
124 sg:person.015334772771.22 schema:affiliation grid-institutes:grid.423490.8
125 schema:familyName Dandaev
126 schema:givenName A. U.
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015334772771.22
128 rdf:type schema:Person
129 sg:pub.10.1134/s0965544116090073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053784758
130 https://doi.org/10.1134/s0965544116090073
131 rdf:type schema:CreativeWork
132 grid-institutes:grid.423490.8 schema:alternateName Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia
133 schema:name Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, 119991, Moscow, Russia
134 rdf:type schema:Organization
 




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


...