Metal-polymer nanobiocomposites with galactose-containing stabilizing matrices: Dimensional effect in changes of molar mass parameters View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-02

AUTHORS

G. P. Aleksandrova, A. S. Boymirzaev, M. V. Lesnichaya, B. G. Sukhov, B. A. Trofimov

ABSTRACT

Molar mass parameters of galactose-containing polysaccharides constituting composites with noble metal nanoparticles have been determined by means of Size-exclusion chromatography (SEC). The composites are self-assembled via specific interaction of the biopolymers with the surface of the metal nanoparticles. The metal content significantly influences the molar mass parameters of the stabilizing polysaccharides. The change of the polymer of polydispersity is due to their redox interaction with the metal ions as well as due to the alkaline-induced degradation. Increasing the nanoparticles number results in the enhanced macromolecules aggregation. More... »

PAGES

488-496

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s107036321502022x

DOI

http://dx.doi.org/10.1134/s107036321502022x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1015207679


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": [
            "Favorskii Irkutsk Institute of Chemistry, Siberian Branch, Russian Academy of Sciences, ul. Favorskogo 1, 664033, Irkutsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aleksandrova", 
        "givenName": "G. P.", 
        "id": "sg:person.01322642562.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01322642562.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Namangan Institute of Engineering and Technology, Namangan, Uzbekistan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boymirzaev", 
        "givenName": "A. S.", 
        "id": "sg:person.015355000201.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015355000201.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Favorskii Irkutsk Institute of Chemistry, Siberian Branch, Russian Academy of Sciences, ul. Favorskogo 1, 664033, Irkutsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lesnichaya", 
        "givenName": "M. V.", 
        "id": "sg:person.01030006231.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030006231.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Favorskii Irkutsk Institute of Chemistry, Siberian Branch, Russian Academy of Sciences, ul. Favorskogo 1, 664033, Irkutsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sukhov", 
        "givenName": "B. G.", 
        "id": "sg:person.013662572254.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013662572254.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Russian Academy of Sciences", 
          "id": "https://www.grid.ac/institutes/grid.4886.2", 
          "name": [
            "Favorskii Irkutsk Institute of Chemistry, Siberian Branch, Russian Academy of Sciences, ul. Favorskogo 1, 664033, Irkutsk, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Trofimov", 
        "givenName": "B. A.", 
        "id": "sg:person.01333112300.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333112300.52"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1134/s0012500811100065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002892962", 
          "https://doi.org/10.1134/s0012500811100065"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c0cs00018c", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004400899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/anie.200904359", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021447613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biotechadv.2012.10.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024700842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10947-007-0136-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037675682", 
          "https://doi.org/10.1007/s10947-007-0136-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s1070363206070189", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040673630", 
          "https://doi.org/10.1134/s1070363206070189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cr030698+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042893548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cr030698+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042893548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11172-010-0395-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044226002", 
          "https://doi.org/10.1007/s11172-010-0395-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1039/c1cs15237h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045154695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp100018q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056075110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/jp100018q", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056075110"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1070/rc2008v077n03abeh003751", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058192932"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-02", 
    "datePublishedReg": "2015-02-01", 
    "description": "Molar mass parameters of galactose-containing polysaccharides constituting composites with noble metal nanoparticles have been determined by means of Size-exclusion chromatography (SEC). The composites are self-assembled via specific interaction of the biopolymers with the surface of the metal nanoparticles. The metal content significantly influences the molar mass parameters of the stabilizing polysaccharides. The change of the polymer of polydispersity is due to their redox interaction with the metal ions as well as due to the alkaline-induced degradation. Increasing the nanoparticles number results in the enhanced macromolecules aggregation.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s107036321502022x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1109093", 
        "issn": [
          "0022-1279", 
          "0044-460X"
        ], 
        "name": "Russian Journal of General Chemistry", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "85"
      }
    ], 
    "name": "Metal-polymer nanobiocomposites with galactose-containing stabilizing matrices: Dimensional effect in changes of molar mass parameters", 
    "pagination": "488-496", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4874a07d91550bd3be7417d2a0e8903b98cc85003693c6f105b55acbcd2591f2"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s107036321502022x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1015207679"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s107036321502022x", 
      "https://app.dimensions.ai/details/publication/pub.1015207679"
    ], 
    "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_00000504.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134%2FS107036321502022X"
  }
]
 

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/s107036321502022x'

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/s107036321502022x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s107036321502022x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s107036321502022x'


 

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

128 TRIPLES      21 PREDICATES      38 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s107036321502022x schema:about anzsrc-for:03
2 anzsrc-for:0303
3 schema:author Na592d95cf61f486e9db1df4c4521ab56
4 schema:citation sg:pub.10.1007/s10947-007-0136-3
5 sg:pub.10.1007/s11172-010-0395-6
6 sg:pub.10.1134/s0012500811100065
7 sg:pub.10.1134/s1070363206070189
8 https://doi.org/10.1002/anie.200904359
9 https://doi.org/10.1016/j.biotechadv.2012.10.002
10 https://doi.org/10.1021/cr030698+
11 https://doi.org/10.1021/jp100018q
12 https://doi.org/10.1039/c0cs00018c
13 https://doi.org/10.1039/c1cs15237h
14 https://doi.org/10.1070/rc2008v077n03abeh003751
15 schema:datePublished 2015-02
16 schema:datePublishedReg 2015-02-01
17 schema:description Molar mass parameters of galactose-containing polysaccharides constituting composites with noble metal nanoparticles have been determined by means of Size-exclusion chromatography (SEC). The composites are self-assembled via specific interaction of the biopolymers with the surface of the metal nanoparticles. The metal content significantly influences the molar mass parameters of the stabilizing polysaccharides. The change of the polymer of polydispersity is due to their redox interaction with the metal ions as well as due to the alkaline-induced degradation. Increasing the nanoparticles number results in the enhanced macromolecules aggregation.
18 schema:genre research_article
19 schema:inLanguage en
20 schema:isAccessibleForFree false
21 schema:isPartOf N5cf00e36f9fe4c7dbc2a415eb94a2ed3
22 N95dd780bb6e74ba485d3678e7cead226
23 sg:journal.1109093
24 schema:name Metal-polymer nanobiocomposites with galactose-containing stabilizing matrices: Dimensional effect in changes of molar mass parameters
25 schema:pagination 488-496
26 schema:productId N3e1d4908984845399b847f2ea17ca52a
27 N9256acd4c2254c52919ac519ae131b8d
28 N96a780f3fc824382976aa0274c4d2401
29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015207679
30 https://doi.org/10.1134/s107036321502022x
31 schema:sdDatePublished 2019-04-11T01:58
32 schema:sdLicense https://scigraph.springernature.com/explorer/license/
33 schema:sdPublisher N7ee5352f0da74f21ae0a7d01a792376c
34 schema:url http://link.springer.com/10.1134%2FS107036321502022X
35 sgo:license sg:explorer/license/
36 sgo:sdDataset articles
37 rdf:type schema:ScholarlyArticle
38 N0262f2d15705454e8d51a547a9cf4c6f schema:name Namangan Institute of Engineering and Technology, Namangan, Uzbekistan
39 rdf:type schema:Organization
40 N3e1d4908984845399b847f2ea17ca52a schema:name doi
41 schema:value 10.1134/s107036321502022x
42 rdf:type schema:PropertyValue
43 N5cf00e36f9fe4c7dbc2a415eb94a2ed3 schema:issueNumber 2
44 rdf:type schema:PublicationIssue
45 N6f1dbee56a9b49afaebeb5199326a7fd rdf:first sg:person.013662572254.38
46 rdf:rest N9880f6aa82a943e0b64e7c28ff3c49d1
47 N794b52d1e77c466ca69187365f9644d3 rdf:first sg:person.015355000201.79
48 rdf:rest Nf59e49c1f4574a959e29dce0fec29f5f
49 N7ee5352f0da74f21ae0a7d01a792376c schema:name Springer Nature - SN SciGraph project
50 rdf:type schema:Organization
51 N9256acd4c2254c52919ac519ae131b8d schema:name dimensions_id
52 schema:value pub.1015207679
53 rdf:type schema:PropertyValue
54 N95dd780bb6e74ba485d3678e7cead226 schema:volumeNumber 85
55 rdf:type schema:PublicationVolume
56 N96a780f3fc824382976aa0274c4d2401 schema:name readcube_id
57 schema:value 4874a07d91550bd3be7417d2a0e8903b98cc85003693c6f105b55acbcd2591f2
58 rdf:type schema:PropertyValue
59 N9880f6aa82a943e0b64e7c28ff3c49d1 rdf:first sg:person.01333112300.52
60 rdf:rest rdf:nil
61 Na592d95cf61f486e9db1df4c4521ab56 rdf:first sg:person.01322642562.92
62 rdf:rest N794b52d1e77c466ca69187365f9644d3
63 Nf59e49c1f4574a959e29dce0fec29f5f rdf:first sg:person.01030006231.03
64 rdf:rest N6f1dbee56a9b49afaebeb5199326a7fd
65 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
66 schema:name Chemical Sciences
67 rdf:type schema:DefinedTerm
68 anzsrc-for:0303 schema:inDefinedTermSet anzsrc-for:
69 schema:name Macromolecular and Materials Chemistry
70 rdf:type schema:DefinedTerm
71 sg:journal.1109093 schema:issn 0022-1279
72 0044-460X
73 schema:name Russian Journal of General Chemistry
74 rdf:type schema:Periodical
75 sg:person.01030006231.03 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
76 schema:familyName Lesnichaya
77 schema:givenName M. V.
78 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030006231.03
79 rdf:type schema:Person
80 sg:person.01322642562.92 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
81 schema:familyName Aleksandrova
82 schema:givenName G. P.
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01322642562.92
84 rdf:type schema:Person
85 sg:person.01333112300.52 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
86 schema:familyName Trofimov
87 schema:givenName B. A.
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01333112300.52
89 rdf:type schema:Person
90 sg:person.013662572254.38 schema:affiliation https://www.grid.ac/institutes/grid.4886.2
91 schema:familyName Sukhov
92 schema:givenName B. G.
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013662572254.38
94 rdf:type schema:Person
95 sg:person.015355000201.79 schema:affiliation N0262f2d15705454e8d51a547a9cf4c6f
96 schema:familyName Boymirzaev
97 schema:givenName A. S.
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015355000201.79
99 rdf:type schema:Person
100 sg:pub.10.1007/s10947-007-0136-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037675682
101 https://doi.org/10.1007/s10947-007-0136-3
102 rdf:type schema:CreativeWork
103 sg:pub.10.1007/s11172-010-0395-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044226002
104 https://doi.org/10.1007/s11172-010-0395-6
105 rdf:type schema:CreativeWork
106 sg:pub.10.1134/s0012500811100065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002892962
107 https://doi.org/10.1134/s0012500811100065
108 rdf:type schema:CreativeWork
109 sg:pub.10.1134/s1070363206070189 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040673630
110 https://doi.org/10.1134/s1070363206070189
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1002/anie.200904359 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021447613
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/j.biotechadv.2012.10.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024700842
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1021/cr030698+ schema:sameAs https://app.dimensions.ai/details/publication/pub.1042893548
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1021/jp100018q schema:sameAs https://app.dimensions.ai/details/publication/pub.1056075110
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1039/c0cs00018c schema:sameAs https://app.dimensions.ai/details/publication/pub.1004400899
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1039/c1cs15237h schema:sameAs https://app.dimensions.ai/details/publication/pub.1045154695
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1070/rc2008v077n03abeh003751 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058192932
125 rdf:type schema:CreativeWork
126 https://www.grid.ac/institutes/grid.4886.2 schema:alternateName Russian Academy of Sciences
127 schema:name Favorskii Irkutsk Institute of Chemistry, Siberian Branch, Russian Academy of Sciences, ul. Favorskogo 1, 664033, Irkutsk, Russia
128 rdf:type schema:Organization
 




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


...