Cellulose composite membranes for nanofiltration of aprotic solvents View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-11

AUTHORS

T. S. Anokhina, A. A. Yushkin, I. S. Makarov, V. Ya. Ignatenko, A. V. Kostyuk, S. V. Antonov, A. V. Volkov

ABSTRACT

Cellulose composite membranes have been fabricated by casting a cellulose solution in N-methylmorpholine oxide on a nonwoven polyester support. The membranes have been tested for nanofiltration of aprotic solvents. The solvent permeability has changed from 0.11 ± 0.02 to 2.5 ± 0.4 kg/(m2 h bar) in the following order: DMSO > NMP > DMFA > THF > acetone, which can be attributed to a decrease in viscosity of the fluids. The rejection of the anionic dyes Orange II (MW 350) and Remazol Brilliant Blue R (MW 626) has been found to range within 15–85% and 42–94%, respectively, on the solvent nature. Sorption experiments have revealed a noticeable difference between certain solvents in interaction with the membrane material: a lower degree of cellulose swelling in THF (37%) and a higher degree in DMSO (230%). In addition, it has been found that the rejection of solutes by the composite membranes correlates with the degree of cellulose swelling. A rejection of ≥90% has been achieved for Remazol Brilliant Blue R, which has the larger molecule, at a cellulose swelling ratio of 100% or higher. Thus, it has been concluded that polymer swelling leads to narrowing the porous structure of the cellulose layer of the composite membrane and, hence, improvement in separation parameters. More... »

PAGES

1085-1092

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0965544116110025

DOI

http://dx.doi.org/10.1134/s0965544116110025

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1083760920


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/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0904", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Anokhina", 
        "givenName": "T. S.", 
        "id": "sg:person.013672626460.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013672626460.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yushkin", 
        "givenName": "A. A.", 
        "id": "sg:person.012164446453.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012164446453.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Makarov", 
        "givenName": "I. S.", 
        "id": "sg:person.011414333371.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011414333371.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ignatenko", 
        "givenName": "V. Ya.", 
        "id": "sg:person.013531532025.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013531532025.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kostyuk", 
        "givenName": "A. V.", 
        "id": "sg:person.011174462374.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011174462374.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Antonov", 
        "givenName": "S. V.", 
        "id": "sg:person.016304572574.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016304572574.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia", 
          "id": "http://www.grid.ac/institutes/grid.423490.8", 
          "name": [
            "Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Volkov", 
        "givenName": "A. V.", 
        "id": "sg:person.012655354565.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012655354565.76"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1134/s0965544113070189", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020360853", 
          "https://doi.org/10.1134/s0965544113070189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1020558829106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047680367", 
          "https://doi.org/10.1023/a:1020558829106"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-11", 
    "datePublishedReg": "2016-11-01", 
    "description": "Cellulose composite membranes have been fabricated by casting a cellulose solution in N-methylmorpholine oxide on a nonwoven polyester support. The membranes have been tested for nanofiltration of aprotic solvents. The solvent permeability has changed from 0.11 \u00b1 0.02 to 2.5 \u00b1 0.4 kg/(m2 h bar) in the following order: DMSO > NMP > DMFA > THF > acetone, which can be attributed to a decrease in viscosity of the fluids. The rejection of the anionic dyes Orange II (MW 350) and Remazol Brilliant Blue R (MW 626) has been found to range within 15\u201385% and 42\u201394%, respectively, on the solvent nature. Sorption experiments have revealed a noticeable difference between certain solvents in interaction with the membrane material: a lower degree of cellulose swelling in THF (37%) and a higher degree in DMSO (230%). In addition, it has been found that the rejection of solutes by the composite membranes correlates with the degree of cellulose swelling. A rejection of \u226590% has been achieved for Remazol Brilliant Blue R, which has the larger molecule, at a cellulose swelling ratio of 100% or higher. Thus, it has been concluded that polymer swelling leads to narrowing the porous structure of the cellulose layer of the composite membrane and, hence, improvement in separation parameters.", 
    "genre": "article", 
    "id": "sg:pub.10.1134/s0965544116110025", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136087", 
        "issn": [
          "0965-5441", 
          "1555-6239"
        ], 
        "name": "Petroleum Chemistry", 
        "publisher": "Pleiades Publishing", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "56"
      }
    ], 
    "keywords": [
      "composite membranes", 
      "nonwoven polyester support", 
      "rejection of solutes", 
      "anionic dye orange II", 
      "porous structure", 
      "membrane material", 
      "solvent permeability", 
      "dye Orange II", 
      "Remazol Brilliant Blue R", 
      "methylmorpholine oxide", 
      "nanofiltration", 
      "Brilliant Blue R", 
      "cellulose solution", 
      "polyester support", 
      "sorption experiments", 
      "Orange II", 
      "separation parameters", 
      "cellulose layer", 
      "cellulose", 
      "layer", 
      "polymers", 
      "viscosity", 
      "solvent", 
      "oxide", 
      "materials", 
      "permeability", 
      "fluid", 
      "membrane", 
      "noticeable differences", 
      "NMP", 
      "parameters", 
      "solution", 
      "solutes", 
      "low degree", 
      "high degree", 
      "structure", 
      "aprotic solvents", 
      "rejection", 
      "ratio", 
      "experiments", 
      "order", 
      "acetone", 
      "solvent nature", 
      "degree", 
      "certain solvents", 
      "improvement", 
      "addition", 
      "decrease", 
      "interaction", 
      "nature", 
      "large molecules", 
      "support", 
      "THF", 
      "differences", 
      "DMSO", 
      "molecules", 
      "Blue R", 
      "degree of cellulose"
    ], 
    "name": "Cellulose composite membranes for nanofiltration of aprotic solvents", 
    "pagination": "1085-1092", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1083760920"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0965544116110025"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0965544116110025", 
      "https://app.dimensions.ai/details/publication/pub.1083760920"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:35", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_695.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1134/s0965544116110025"
  }
]
 

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/s0965544116110025'

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/s0965544116110025'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0965544116110025'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0965544116110025'


 

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

170 TRIPLES      22 PREDICATES      87 URIs      76 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0965544116110025 schema:about anzsrc-for:09
2 anzsrc-for:0904
3 anzsrc-for:0912
4 schema:author N3d4ef9f20d1244b68d494d81ba2fd8e8
5 schema:citation sg:pub.10.1023/a:1020558829106
6 sg:pub.10.1134/s0965544113070189
7 schema:datePublished 2016-11
8 schema:datePublishedReg 2016-11-01
9 schema:description Cellulose composite membranes have been fabricated by casting a cellulose solution in N-methylmorpholine oxide on a nonwoven polyester support. The membranes have been tested for nanofiltration of aprotic solvents. The solvent permeability has changed from 0.11 ± 0.02 to 2.5 ± 0.4 kg/(m2 h bar) in the following order: DMSO > NMP > DMFA > THF > acetone, which can be attributed to a decrease in viscosity of the fluids. The rejection of the anionic dyes Orange II (MW 350) and Remazol Brilliant Blue R (MW 626) has been found to range within 15–85% and 42–94%, respectively, on the solvent nature. Sorption experiments have revealed a noticeable difference between certain solvents in interaction with the membrane material: a lower degree of cellulose swelling in THF (37%) and a higher degree in DMSO (230%). In addition, it has been found that the rejection of solutes by the composite membranes correlates with the degree of cellulose swelling. A rejection of ≥90% has been achieved for Remazol Brilliant Blue R, which has the larger molecule, at a cellulose swelling ratio of 100% or higher. Thus, it has been concluded that polymer swelling leads to narrowing the porous structure of the cellulose layer of the composite membrane and, hence, improvement in separation parameters.
10 schema:genre article
11 schema:inLanguage en
12 schema:isAccessibleForFree false
13 schema:isPartOf N0c159cc673584e4ebfc824933242e410
14 N570a56d9aa6a4133979c1298fffad0be
15 sg:journal.1136087
16 schema:keywords Blue R
17 Brilliant Blue R
18 DMSO
19 NMP
20 Orange II
21 Remazol Brilliant Blue R
22 THF
23 acetone
24 addition
25 anionic dye orange II
26 aprotic solvents
27 cellulose
28 cellulose layer
29 cellulose solution
30 certain solvents
31 composite membranes
32 decrease
33 degree
34 degree of cellulose
35 differences
36 dye Orange II
37 experiments
38 fluid
39 high degree
40 improvement
41 interaction
42 large molecules
43 layer
44 low degree
45 materials
46 membrane
47 membrane material
48 methylmorpholine oxide
49 molecules
50 nanofiltration
51 nature
52 nonwoven polyester support
53 noticeable differences
54 order
55 oxide
56 parameters
57 permeability
58 polyester support
59 polymers
60 porous structure
61 ratio
62 rejection
63 rejection of solutes
64 separation parameters
65 solutes
66 solution
67 solvent
68 solvent nature
69 solvent permeability
70 sorption experiments
71 structure
72 support
73 viscosity
74 schema:name Cellulose composite membranes for nanofiltration of aprotic solvents
75 schema:pagination 1085-1092
76 schema:productId N2887670b1d0f4260ab69612a41e9f0e8
77 N4edb9546c61a4166af4c93cc750f0466
78 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083760920
79 https://doi.org/10.1134/s0965544116110025
80 schema:sdDatePublished 2021-12-01T19:35
81 schema:sdLicense https://scigraph.springernature.com/explorer/license/
82 schema:sdPublisher Nce05b736185f49a990548f033014dbd0
83 schema:url https://doi.org/10.1134/s0965544116110025
84 sgo:license sg:explorer/license/
85 sgo:sdDataset articles
86 rdf:type schema:ScholarlyArticle
87 N0c159cc673584e4ebfc824933242e410 schema:volumeNumber 56
88 rdf:type schema:PublicationVolume
89 N149ec9366687466e8245dde5442e6cb3 rdf:first sg:person.011414333371.82
90 rdf:rest Nb68faad69b414232a515547bb45e3ce3
91 N152db212d2344223ac798b50402bff45 rdf:first sg:person.012655354565.76
92 rdf:rest rdf:nil
93 N2807b8f53b1940c2be496dae774770b2 rdf:first sg:person.016304572574.21
94 rdf:rest N152db212d2344223ac798b50402bff45
95 N2887670b1d0f4260ab69612a41e9f0e8 schema:name dimensions_id
96 schema:value pub.1083760920
97 rdf:type schema:PropertyValue
98 N3d4ef9f20d1244b68d494d81ba2fd8e8 rdf:first sg:person.013672626460.99
99 rdf:rest Ncac57dacf18e46ad98440569a29aea7f
100 N4edb9546c61a4166af4c93cc750f0466 schema:name doi
101 schema:value 10.1134/s0965544116110025
102 rdf:type schema:PropertyValue
103 N570a56d9aa6a4133979c1298fffad0be schema:issueNumber 11
104 rdf:type schema:PublicationIssue
105 N6327be2e8994407da5f4d52de2fa791a rdf:first sg:person.011174462374.34
106 rdf:rest N2807b8f53b1940c2be496dae774770b2
107 Nb68faad69b414232a515547bb45e3ce3 rdf:first sg:person.013531532025.80
108 rdf:rest N6327be2e8994407da5f4d52de2fa791a
109 Ncac57dacf18e46ad98440569a29aea7f rdf:first sg:person.012164446453.60
110 rdf:rest N149ec9366687466e8245dde5442e6cb3
111 Nce05b736185f49a990548f033014dbd0 schema:name Springer Nature - SN SciGraph project
112 rdf:type schema:Organization
113 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
114 schema:name Engineering
115 rdf:type schema:DefinedTerm
116 anzsrc-for:0904 schema:inDefinedTermSet anzsrc-for:
117 schema:name Chemical Engineering
118 rdf:type schema:DefinedTerm
119 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
120 schema:name Materials Engineering
121 rdf:type schema:DefinedTerm
122 sg:journal.1136087 schema:issn 0965-5441
123 1555-6239
124 schema:name Petroleum Chemistry
125 schema:publisher Pleiades Publishing
126 rdf:type schema:Periodical
127 sg:person.011174462374.34 schema:affiliation grid-institutes:grid.423490.8
128 schema:familyName Kostyuk
129 schema:givenName A. V.
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011174462374.34
131 rdf:type schema:Person
132 sg:person.011414333371.82 schema:affiliation grid-institutes:grid.423490.8
133 schema:familyName Makarov
134 schema:givenName I. S.
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011414333371.82
136 rdf:type schema:Person
137 sg:person.012164446453.60 schema:affiliation grid-institutes:grid.423490.8
138 schema:familyName Yushkin
139 schema:givenName A. A.
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012164446453.60
141 rdf:type schema:Person
142 sg:person.012655354565.76 schema:affiliation grid-institutes:grid.423490.8
143 schema:familyName Volkov
144 schema:givenName A. V.
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012655354565.76
146 rdf:type schema:Person
147 sg:person.013531532025.80 schema:affiliation grid-institutes:grid.423490.8
148 schema:familyName Ignatenko
149 schema:givenName V. Ya.
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013531532025.80
151 rdf:type schema:Person
152 sg:person.013672626460.99 schema:affiliation grid-institutes:grid.423490.8
153 schema:familyName Anokhina
154 schema:givenName T. S.
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013672626460.99
156 rdf:type schema:Person
157 sg:person.016304572574.21 schema:affiliation grid-institutes:grid.423490.8
158 schema:familyName Antonov
159 schema:givenName S. V.
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016304572574.21
161 rdf:type schema:Person
162 sg:pub.10.1023/a:1020558829106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047680367
163 https://doi.org/10.1023/a:1020558829106
164 rdf:type schema:CreativeWork
165 sg:pub.10.1134/s0965544113070189 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020360853
166 https://doi.org/10.1134/s0965544113070189
167 rdf:type schema:CreativeWork
168 grid-institutes:grid.423490.8 schema:alternateName Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia
169 schema:name Topchiev Institute of Petrochemical Synthesis, Russian Academy of Sciences, Moscow, Russia
170 rdf:type schema:Organization
 




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


...