Rheological Properties of Aqueous Acid Solutions of Chitosan: Experiment and Calculations of the Viscometric Functions on the Basis of a ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-05

AUTHORS

A. B. Shipovskaya, A. Yu. Abramov, G. V. Pyshnograi, Al Joda Hyder Nadom Aziz

ABSTRACT

The rheological properties of chitosan solutions in acetic acid at 20°C in the range of polymer concentrations from 0.5 to 8 mass% and acid concentrations from 2 to 70% have been investigated. With the use of a modified Vinogradov–Pokrovskii model based on the microstructural approach to the description of polymer fluid dynamics, numerical solutions of gradient dependences of viscometric functions of aqueous acid solutions of chitosan have been obtained. It has been established that the numerical solution describes with good accuracy the experimental viscosity rheograms. The values of the highest Newton viscosity ηmax have been calculated. The concentration modes of semidiluted and concentrated solutions have been determined by the dependence of ηmax on the polymer concentration, and the range of concentrations in which the mass transfer mechanism changes and a fluctuation network is formed has been found. It has been shown that the concentration of acetic acid practically does not influence the structure and character of flow of chitosan solutions, the formation concentration of a network, and the efficiency of its labile nodes. More... »

PAGES

642-651

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10891-016-1422-8

DOI

http://dx.doi.org/10.1007/s10891-016-1422-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027785674


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": "Saratov State University", 
          "id": "https://www.grid.ac/institutes/grid.446088.6", 
          "name": [
            "FGBOU VPO \u201cN. G. Chernyshevskii Saratov State University\u201d, 83 Astrakhanskaya Str., 410012, Saratov, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shipovskaya", 
        "givenName": "A. B.", 
        "id": "sg:person.016474137722.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016474137722.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saratov State University", 
          "id": "https://www.grid.ac/institutes/grid.446088.6", 
          "name": [
            "FGBOU VPO \u201cN. G. Chernyshevskii Saratov State University\u201d, 83 Astrakhanskaya Str., 410012, Saratov, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Abramov", 
        "givenName": "A. Yu.", 
        "id": "sg:person.014731653143.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014731653143.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "FGBOU VPO \u201cAltai State Pedagogical University\u201d, 55 Molodezhnaya Str., 656031, Barnaul, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pyshnograi", 
        "givenName": "G. V.", 
        "id": "sg:person.011740517644.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011740517644.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Karbala", 
          "id": "https://www.grid.ac/institutes/grid.442849.7", 
          "name": [
            "University of Karbala, College of Engineering, Department of Petroleum Engineering and Petrochemicals, Karbala, Iraq"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aziz", 
        "givenName": "Al Joda Hyder Nadom", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.eurpolymj.2012.12.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002733248"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jfoodeng.2011.11.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011478163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.carbpol.2005.10.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013371357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.foodhyd.2013.12.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014026000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eurpolymj.2012.05.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014699441"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma035689h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028559330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma035689h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028559330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10891-006-0009-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034331644", 
          "https://doi.org/10.1007/s10891-006-0009-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10891-006-0009-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034331644", 
          "https://doi.org/10.1007/s10891-006-0009-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhazmat.2010.11.097", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042709818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10891-011-0510-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051606676", 
          "https://doi.org/10.1007/s10891-011-0510-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jfoodeng.2005.01.047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053118471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bm010151+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055219511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bm010151+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055219511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bm800738u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055224056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bm800738u", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055224056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma00110a021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056178039"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma991309+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056210365"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/ma991309+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056210365"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.474573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058057731"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-05", 
    "datePublishedReg": "2016-05-01", 
    "description": "The rheological properties of chitosan solutions in acetic acid at 20\u00b0C in the range of polymer concentrations from 0.5 to 8 mass% and acid concentrations from 2 to 70% have been investigated. With the use of a modified Vinogradov\u2013Pokrovskii model based on the microstructural approach to the description of polymer fluid dynamics, numerical solutions of gradient dependences of viscometric functions of aqueous acid solutions of chitosan have been obtained. It has been established that the numerical solution describes with good accuracy the experimental viscosity rheograms. The values of the highest Newton viscosity \u03b7max have been calculated. The concentration modes of semidiluted and concentrated solutions have been determined by the dependence of \u03b7max on the polymer concentration, and the range of concentrations in which the mass transfer mechanism changes and a fluctuation network is formed has been found. It has been shown that the concentration of acetic acid practically does not influence the structure and character of flow of chitosan solutions, the formation concentration of a network, and the efficiency of its labile nodes.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10891-016-1422-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1313809", 
        "issn": [
          "1062-0125", 
          "1573-871X"
        ], 
        "name": "Journal of Engineering Physics and Thermophysics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "89"
      }
    ], 
    "name": "Rheological Properties of Aqueous Acid Solutions of Chitosan: Experiment and Calculations of the Viscometric Functions on the Basis of a Mesoscopic Model", 
    "pagination": "642-651", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "845d1685cf40b6bd093d613f543d5bf471c9657e1dafc977901c9d24990fee4c"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10891-016-1422-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1027785674"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10891-016-1422-8", 
      "https://app.dimensions.ai/details/publication/pub.1027785674"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:37", 
    "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/v90/0000000363_0000000363/records_70037_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs10891-016-1422-8"
  }
]
 

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/s10891-016-1422-8'

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/s10891-016-1422-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10891-016-1422-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10891-016-1422-8'


 

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

133 TRIPLES      21 PREDICATES      42 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10891-016-1422-8 schema:about anzsrc-for:03
2 anzsrc-for:0303
3 schema:author N07b2111254ca469fabe51a189d8d5a49
4 schema:citation sg:pub.10.1007/s10891-006-0009-1
5 sg:pub.10.1007/s10891-011-0510-z
6 https://doi.org/10.1016/j.carbpol.2005.10.013
7 https://doi.org/10.1016/j.eurpolymj.2012.05.001
8 https://doi.org/10.1016/j.eurpolymj.2012.12.009
9 https://doi.org/10.1016/j.foodhyd.2013.12.016
10 https://doi.org/10.1016/j.jfoodeng.2005.01.047
11 https://doi.org/10.1016/j.jfoodeng.2011.11.032
12 https://doi.org/10.1016/j.jhazmat.2010.11.097
13 https://doi.org/10.1021/bm010151+
14 https://doi.org/10.1021/bm800738u
15 https://doi.org/10.1021/ma00110a021
16 https://doi.org/10.1021/ma035689h
17 https://doi.org/10.1021/ma991309+
18 https://doi.org/10.1063/1.474573
19 schema:datePublished 2016-05
20 schema:datePublishedReg 2016-05-01
21 schema:description The rheological properties of chitosan solutions in acetic acid at 20°C in the range of polymer concentrations from 0.5 to 8 mass% and acid concentrations from 2 to 70% have been investigated. With the use of a modified Vinogradov–Pokrovskii model based on the microstructural approach to the description of polymer fluid dynamics, numerical solutions of gradient dependences of viscometric functions of aqueous acid solutions of chitosan have been obtained. It has been established that the numerical solution describes with good accuracy the experimental viscosity rheograms. The values of the highest Newton viscosity ηmax have been calculated. The concentration modes of semidiluted and concentrated solutions have been determined by the dependence of ηmax on the polymer concentration, and the range of concentrations in which the mass transfer mechanism changes and a fluctuation network is formed has been found. It has been shown that the concentration of acetic acid practically does not influence the structure and character of flow of chitosan solutions, the formation concentration of a network, and the efficiency of its labile nodes.
22 schema:genre research_article
23 schema:inLanguage en
24 schema:isAccessibleForFree false
25 schema:isPartOf N81cf51138f64425db439c09ed2b9c056
26 Na2e43d2b999344f2b995c770c05f824b
27 sg:journal.1313809
28 schema:name Rheological Properties of Aqueous Acid Solutions of Chitosan: Experiment and Calculations of the Viscometric Functions on the Basis of a Mesoscopic Model
29 schema:pagination 642-651
30 schema:productId N1556564c9ccb4692ba48c13d01e21a86
31 N1cd6f6abdbcf4610878df0d6ca948252
32 Na3635ec2ccc54910b640b05d87d7ce02
33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027785674
34 https://doi.org/10.1007/s10891-016-1422-8
35 schema:sdDatePublished 2019-04-11T12:37
36 schema:sdLicense https://scigraph.springernature.com/explorer/license/
37 schema:sdPublisher N4a290e257f894e72ab830fb88a50b249
38 schema:url https://link.springer.com/10.1007%2Fs10891-016-1422-8
39 sgo:license sg:explorer/license/
40 sgo:sdDataset articles
41 rdf:type schema:ScholarlyArticle
42 N07b2111254ca469fabe51a189d8d5a49 rdf:first sg:person.016474137722.10
43 rdf:rest Ne66f1d474df24ccc8c2e8c441798d9ca
44 N1556564c9ccb4692ba48c13d01e21a86 schema:name doi
45 schema:value 10.1007/s10891-016-1422-8
46 rdf:type schema:PropertyValue
47 N1cd6f6abdbcf4610878df0d6ca948252 schema:name readcube_id
48 schema:value 845d1685cf40b6bd093d613f543d5bf471c9657e1dafc977901c9d24990fee4c
49 rdf:type schema:PropertyValue
50 N393d8908e4184ebdb0792e09250387d7 schema:name FGBOU VPO “Altai State Pedagogical University”, 55 Molodezhnaya Str., 656031, Barnaul, Russia
51 rdf:type schema:Organization
52 N4a290e257f894e72ab830fb88a50b249 schema:name Springer Nature - SN SciGraph project
53 rdf:type schema:Organization
54 N81cf51138f64425db439c09ed2b9c056 schema:issueNumber 3
55 rdf:type schema:PublicationIssue
56 N98affc872a1e4f26a4abbc2f33f92d35 rdf:first sg:person.011740517644.44
57 rdf:rest Ndc87020142344ab6a71a4f45384b4476
58 Na2e43d2b999344f2b995c770c05f824b schema:volumeNumber 89
59 rdf:type schema:PublicationVolume
60 Na3635ec2ccc54910b640b05d87d7ce02 schema:name dimensions_id
61 schema:value pub.1027785674
62 rdf:type schema:PropertyValue
63 Ndc87020142344ab6a71a4f45384b4476 rdf:first Nf710d3a83ca44b3ca7801d416c8e2695
64 rdf:rest rdf:nil
65 Ne66f1d474df24ccc8c2e8c441798d9ca rdf:first sg:person.014731653143.06
66 rdf:rest N98affc872a1e4f26a4abbc2f33f92d35
67 Nf710d3a83ca44b3ca7801d416c8e2695 schema:affiliation https://www.grid.ac/institutes/grid.442849.7
68 schema:familyName Aziz
69 schema:givenName Al Joda Hyder Nadom
70 rdf:type schema:Person
71 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
72 schema:name Chemical Sciences
73 rdf:type schema:DefinedTerm
74 anzsrc-for:0303 schema:inDefinedTermSet anzsrc-for:
75 schema:name Macromolecular and Materials Chemistry
76 rdf:type schema:DefinedTerm
77 sg:journal.1313809 schema:issn 1062-0125
78 1573-871X
79 schema:name Journal of Engineering Physics and Thermophysics
80 rdf:type schema:Periodical
81 sg:person.011740517644.44 schema:affiliation N393d8908e4184ebdb0792e09250387d7
82 schema:familyName Pyshnograi
83 schema:givenName G. V.
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011740517644.44
85 rdf:type schema:Person
86 sg:person.014731653143.06 schema:affiliation https://www.grid.ac/institutes/grid.446088.6
87 schema:familyName Abramov
88 schema:givenName A. Yu.
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014731653143.06
90 rdf:type schema:Person
91 sg:person.016474137722.10 schema:affiliation https://www.grid.ac/institutes/grid.446088.6
92 schema:familyName Shipovskaya
93 schema:givenName A. B.
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016474137722.10
95 rdf:type schema:Person
96 sg:pub.10.1007/s10891-006-0009-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034331644
97 https://doi.org/10.1007/s10891-006-0009-1
98 rdf:type schema:CreativeWork
99 sg:pub.10.1007/s10891-011-0510-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1051606676
100 https://doi.org/10.1007/s10891-011-0510-z
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1016/j.carbpol.2005.10.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013371357
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1016/j.eurpolymj.2012.05.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014699441
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1016/j.eurpolymj.2012.12.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002733248
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1016/j.foodhyd.2013.12.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014026000
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1016/j.jfoodeng.2005.01.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053118471
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/j.jfoodeng.2011.11.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011478163
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/j.jhazmat.2010.11.097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042709818
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1021/bm010151+ schema:sameAs https://app.dimensions.ai/details/publication/pub.1055219511
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1021/bm800738u schema:sameAs https://app.dimensions.ai/details/publication/pub.1055224056
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1021/ma00110a021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056178039
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1021/ma035689h schema:sameAs https://app.dimensions.ai/details/publication/pub.1028559330
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1021/ma991309+ schema:sameAs https://app.dimensions.ai/details/publication/pub.1056210365
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1063/1.474573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058057731
127 rdf:type schema:CreativeWork
128 https://www.grid.ac/institutes/grid.442849.7 schema:alternateName University of Karbala
129 schema:name University of Karbala, College of Engineering, Department of Petroleum Engineering and Petrochemicals, Karbala, Iraq
130 rdf:type schema:Organization
131 https://www.grid.ac/institutes/grid.446088.6 schema:alternateName Saratov State University
132 schema:name FGBOU VPO “N. G. Chernyshevskii Saratov State University”, 83 Astrakhanskaya Str., 410012, Saratov, Russia
133 rdf:type schema:Organization
 




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


...