Influence of temperature and concentration on thermophysical properties of yellow mombin (Spondias mombin, L.) View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-03-09

AUTHORS

Mitzi Maria Martins Assis, Suzana Caetano da Silva Lannes, Carmen Cecilia Tadini, Vania Regina Nicoletti Telis, Javier Telis-Romero

ABSTRACT

Thermal conductivity, thermal diffusivity, and density of yellow mombin juice were determined at 8.8–49.4 °Brix and at temperature from 0.4 to 77.1 °C. Apparent viscosity was also measured between 7.8 and 30 °Brix and at temperature from 0 to 60 °C. Yellow mombin juice was produced from fruits of two different batches and the concentration process was performed using a roto evaporator or a rising film evaporator, single effect, with recirculation, under vacuum, to obtain concentrated juice. In order to obtain different concentrations, concentrated juice was diluted with distilled water. Multiple regression analysis was performed to fit thermal conductivity, thermal diffusivity and density experimental data obtaining a good fit. Arrhenius and power law relationships were proposed to fit apparent viscosity as a function of temperature and juice concentration at typical shear rates found during processing. The rheological parameters together with experimental values of pressure loss in tube flow were used to calculate friction factors, which were compared to those resulting from theoretical equation. More... »

PAGES

585-593

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00217-005-0236-2

DOI

http://dx.doi.org/10.1007/s00217-005-0236-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032201400


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/2008/0912", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Materials Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Chemical Engineering Department, Technology Center, Federal University of Rio Grande do Norte, 59072-970, RN, Brazil", 
          "id": "http://www.grid.ac/institutes/grid.411233.6", 
          "name": [
            "Chemical Engineering Department, Technology Center, Federal University of Rio Grande do Norte, 59072-970, RN, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Assis", 
        "givenName": "Mitzi Maria Martins", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Biochemical Pharmaceutical Technology Department, Pharmacy School, S\u00e3o Paulo University, Av Prof. Lineu Prestes, 580, 05508-900, S\u00e3o Paulo, Brazil", 
          "id": "http://www.grid.ac/institutes/grid.11899.38", 
          "name": [
            "Biochemical Pharmaceutical Technology Department, Pharmacy School, S\u00e3o Paulo University, Av Prof. Lineu Prestes, 580, 05508-900, S\u00e3o Paulo, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Caetano da Silva Lannes", 
        "givenName": "Suzana", 
        "id": "sg:person.010471332167.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010471332167.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chemical Engineering Department, Escola Polit\u00e9cnica, S\u00e3o Paulo University, P. O. Box 61548, 05424-970, S\u00e3o Paulo, Brazil", 
          "id": "http://www.grid.ac/institutes/grid.11899.38", 
          "name": [
            "Chemical Engineering Department, Escola Polit\u00e9cnica, S\u00e3o Paulo University, P. O. Box 61548, 05424-970, S\u00e3o Paulo, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cecilia Tadini", 
        "givenName": "Carmen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Food Engineering and Technology Department, UNESP \u2013 S\u00e3o Paulo State University, 15054-000, S\u00e3o Jos\u00e9 do Rio Preto, Brazil", 
          "id": "http://www.grid.ac/institutes/grid.410543.7", 
          "name": [
            "Food Engineering and Technology Department, UNESP \u2013 S\u00e3o Paulo State University, 15054-000, S\u00e3o Jos\u00e9 do Rio Preto, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Regina Nicoletti Telis", 
        "givenName": "Vania", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Food Engineering and Technology Department, UNESP \u2013 S\u00e3o Paulo State University, 15054-000, S\u00e3o Jos\u00e9 do Rio Preto, Brazil", 
          "id": "http://www.grid.ac/institutes/grid.410543.7", 
          "name": [
            "Food Engineering and Technology Department, UNESP \u2013 S\u00e3o Paulo State University, 15054-000, S\u00e3o Jos\u00e9 do Rio Preto, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Telis-Romero", 
        "givenName": "Javier", 
        "id": "sg:person.014066747271.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014066747271.15"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-94-011-3700-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012921813", 
          "https://doi.org/10.1007/978-94-011-3700-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00217-002-0501-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026970362", 
          "https://doi.org/10.1007/s00217-002-0501-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00217-004-1020-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025588307", 
          "https://doi.org/10.1007/s00217-004-1020-4"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-03-09", 
    "datePublishedReg": "2006-03-09", 
    "description": "Thermal conductivity, thermal diffusivity, and density of yellow mombin juice were determined at 8.8\u201349.4 \u00b0Brix and at temperature from 0.4 to 77.1 \u00b0C. Apparent viscosity was also measured between 7.8 and 30 \u00b0Brix and at temperature from 0 to 60 \u00b0C. Yellow mombin juice was produced from fruits of two different batches and the concentration process was performed using a roto evaporator or a rising film evaporator, single effect, with recirculation, under vacuum, to obtain concentrated juice. In order to obtain different concentrations, concentrated juice was diluted with distilled water. Multiple regression analysis was performed to fit thermal conductivity, thermal diffusivity and density experimental data obtaining a good fit. Arrhenius and power law relationships were proposed to fit apparent viscosity as a function of temperature and juice concentration at typical shear rates found during processing. The rheological parameters together with experimental values of pressure loss in tube flow were used to calculate friction factors, which were compared to those resulting from theoretical equation.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00217-005-0236-2", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1312167", 
        "issn": [
          "0044-3026", 
          "1438-2385"
        ], 
        "name": "European Food Research and Technology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "223"
      }
    ], 
    "keywords": [
      "thermal conductivity", 
      "thermal diffusivity", 
      "apparent viscosity", 
      "typical shear rates", 
      "film evaporator", 
      "pressure loss", 
      "friction factor", 
      "tube flow", 
      "thermophysical properties", 
      "power law relationship", 
      "concentrated juice", 
      "rheological parameters", 
      "influence of temperature", 
      "evaporator", 
      "concentration process", 
      "shear rate", 
      "density experimental data", 
      "law relationship", 
      "experimental data", 
      "conductivity", 
      "function of temperature", 
      "diffusivity", 
      "theoretical equations", 
      "temperature", 
      "juice concentration", 
      "viscosity", 
      "distilled water", 
      "experimental values", 
      "recirculation", 
      "single effect", 
      "flow", 
      "yellow mombin", 
      "vacuum", 
      "different batches", 
      "different concentrations", 
      "properties", 
      "water", 
      "batch", 
      "processing", 
      "density", 
      "equations", 
      "Brix", 
      "best fit", 
      "parameters", 
      "Arrhenius", 
      "concentration", 
      "influence", 
      "process", 
      "order", 
      "juice", 
      "effect", 
      "values", 
      "rate", 
      "loss", 
      "analysis", 
      "fit", 
      "data", 
      "function", 
      "factors", 
      "relationship", 
      "mombin", 
      "fruit", 
      "multiple regression analysis", 
      "regression analysis", 
      "yellow mombin juice", 
      "mombin juice", 
      "roto evaporator"
    ], 
    "name": "Influence of temperature and concentration on thermophysical properties of yellow mombin (Spondias mombin, L.)", 
    "pagination": "585-593", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1032201400"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00217-005-0236-2"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00217-005-0236-2", 
      "https://app.dimensions.ai/details/publication/pub.1032201400"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:15", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_413.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00217-005-0236-2"
  }
]
 

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/s00217-005-0236-2'

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/s00217-005-0236-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00217-005-0236-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00217-005-0236-2'


 

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

170 TRIPLES      22 PREDICATES      95 URIs      84 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00217-005-0236-2 schema:about anzsrc-for:09
2 anzsrc-for:0912
3 schema:author N9a7f14dce698442894d6d50d51b83f43
4 schema:citation sg:pub.10.1007/978-94-011-3700-3
5 sg:pub.10.1007/s00217-002-0501-6
6 sg:pub.10.1007/s00217-004-1020-4
7 schema:datePublished 2006-03-09
8 schema:datePublishedReg 2006-03-09
9 schema:description Thermal conductivity, thermal diffusivity, and density of yellow mombin juice were determined at 8.8–49.4 °Brix and at temperature from 0.4 to 77.1 °C. Apparent viscosity was also measured between 7.8 and 30 °Brix and at temperature from 0 to 60 °C. Yellow mombin juice was produced from fruits of two different batches and the concentration process was performed using a roto evaporator or a rising film evaporator, single effect, with recirculation, under vacuum, to obtain concentrated juice. In order to obtain different concentrations, concentrated juice was diluted with distilled water. Multiple regression analysis was performed to fit thermal conductivity, thermal diffusivity and density experimental data obtaining a good fit. Arrhenius and power law relationships were proposed to fit apparent viscosity as a function of temperature and juice concentration at typical shear rates found during processing. The rheological parameters together with experimental values of pressure loss in tube flow were used to calculate friction factors, which were compared to those resulting from theoretical equation.
10 schema:genre article
11 schema:inLanguage en
12 schema:isAccessibleForFree false
13 schema:isPartOf N3d3b9790e6214d7e969cabe48fccf068
14 N93cf0ce430d04dcd93a5d26df5eca0d7
15 sg:journal.1312167
16 schema:keywords Arrhenius
17 Brix
18 analysis
19 apparent viscosity
20 batch
21 best fit
22 concentrated juice
23 concentration
24 concentration process
25 conductivity
26 data
27 density
28 density experimental data
29 different batches
30 different concentrations
31 diffusivity
32 distilled water
33 effect
34 equations
35 evaporator
36 experimental data
37 experimental values
38 factors
39 film evaporator
40 fit
41 flow
42 friction factor
43 fruit
44 function
45 function of temperature
46 influence
47 influence of temperature
48 juice
49 juice concentration
50 law relationship
51 loss
52 mombin
53 mombin juice
54 multiple regression analysis
55 order
56 parameters
57 power law relationship
58 pressure loss
59 process
60 processing
61 properties
62 rate
63 recirculation
64 regression analysis
65 relationship
66 rheological parameters
67 roto evaporator
68 shear rate
69 single effect
70 temperature
71 theoretical equations
72 thermal conductivity
73 thermal diffusivity
74 thermophysical properties
75 tube flow
76 typical shear rates
77 vacuum
78 values
79 viscosity
80 water
81 yellow mombin
82 yellow mombin juice
83 schema:name Influence of temperature and concentration on thermophysical properties of yellow mombin (Spondias mombin, L.)
84 schema:pagination 585-593
85 schema:productId N6febf29cd0aa4f49b2fb36f07ac3628b
86 Nedd0564400944130b6c0d568d83263c0
87 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032201400
88 https://doi.org/10.1007/s00217-005-0236-2
89 schema:sdDatePublished 2022-01-01T18:15
90 schema:sdLicense https://scigraph.springernature.com/explorer/license/
91 schema:sdPublisher Nf9f336d33e324eac8cbb4fcc4de770ee
92 schema:url https://doi.org/10.1007/s00217-005-0236-2
93 sgo:license sg:explorer/license/
94 sgo:sdDataset articles
95 rdf:type schema:ScholarlyArticle
96 N1c85dcc854e64296bcd373e945e663e8 schema:affiliation grid-institutes:grid.11899.38
97 schema:familyName Cecilia Tadini
98 schema:givenName Carmen
99 rdf:type schema:Person
100 N20548e090bc0465fa7bc23a1c128c7df rdf:first sg:person.014066747271.15
101 rdf:rest rdf:nil
102 N2df00d43f1f840ba93d69c58dbf35b1f schema:affiliation grid-institutes:grid.411233.6
103 schema:familyName Assis
104 schema:givenName Mitzi Maria Martins
105 rdf:type schema:Person
106 N3d3b9790e6214d7e969cabe48fccf068 schema:issueNumber 5
107 rdf:type schema:PublicationIssue
108 N6d742cba5d65455d8b45e175d0cc8c7a rdf:first sg:person.010471332167.34
109 rdf:rest N9787a8b01f0e41e7a95bedcba20e9944
110 N6febf29cd0aa4f49b2fb36f07ac3628b schema:name dimensions_id
111 schema:value pub.1032201400
112 rdf:type schema:PropertyValue
113 N841741d872334ef4a31a55e051484659 rdf:first N8491d63bde6f4ab79a076e2670700e1a
114 rdf:rest N20548e090bc0465fa7bc23a1c128c7df
115 N8491d63bde6f4ab79a076e2670700e1a schema:affiliation grid-institutes:grid.410543.7
116 schema:familyName Regina Nicoletti Telis
117 schema:givenName Vania
118 rdf:type schema:Person
119 N93cf0ce430d04dcd93a5d26df5eca0d7 schema:volumeNumber 223
120 rdf:type schema:PublicationVolume
121 N9787a8b01f0e41e7a95bedcba20e9944 rdf:first N1c85dcc854e64296bcd373e945e663e8
122 rdf:rest N841741d872334ef4a31a55e051484659
123 N9a7f14dce698442894d6d50d51b83f43 rdf:first N2df00d43f1f840ba93d69c58dbf35b1f
124 rdf:rest N6d742cba5d65455d8b45e175d0cc8c7a
125 Nedd0564400944130b6c0d568d83263c0 schema:name doi
126 schema:value 10.1007/s00217-005-0236-2
127 rdf:type schema:PropertyValue
128 Nf9f336d33e324eac8cbb4fcc4de770ee schema:name Springer Nature - SN SciGraph project
129 rdf:type schema:Organization
130 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
131 schema:name Engineering
132 rdf:type schema:DefinedTerm
133 anzsrc-for:0912 schema:inDefinedTermSet anzsrc-for:
134 schema:name Materials Engineering
135 rdf:type schema:DefinedTerm
136 sg:journal.1312167 schema:issn 0044-3026
137 1438-2385
138 schema:name European Food Research and Technology
139 schema:publisher Springer Nature
140 rdf:type schema:Periodical
141 sg:person.010471332167.34 schema:affiliation grid-institutes:grid.11899.38
142 schema:familyName Caetano da Silva Lannes
143 schema:givenName Suzana
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010471332167.34
145 rdf:type schema:Person
146 sg:person.014066747271.15 schema:affiliation grid-institutes:grid.410543.7
147 schema:familyName Telis-Romero
148 schema:givenName Javier
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014066747271.15
150 rdf:type schema:Person
151 sg:pub.10.1007/978-94-011-3700-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012921813
152 https://doi.org/10.1007/978-94-011-3700-3
153 rdf:type schema:CreativeWork
154 sg:pub.10.1007/s00217-002-0501-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026970362
155 https://doi.org/10.1007/s00217-002-0501-6
156 rdf:type schema:CreativeWork
157 sg:pub.10.1007/s00217-004-1020-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025588307
158 https://doi.org/10.1007/s00217-004-1020-4
159 rdf:type schema:CreativeWork
160 grid-institutes:grid.11899.38 schema:alternateName Biochemical Pharmaceutical Technology Department, Pharmacy School, São Paulo University, Av Prof. Lineu Prestes, 580, 05508-900, São Paulo, Brazil
161 Chemical Engineering Department, Escola Politécnica, São Paulo University, P. O. Box 61548, 05424-970, São Paulo, Brazil
162 schema:name Biochemical Pharmaceutical Technology Department, Pharmacy School, São Paulo University, Av Prof. Lineu Prestes, 580, 05508-900, São Paulo, Brazil
163 Chemical Engineering Department, Escola Politécnica, São Paulo University, P. O. Box 61548, 05424-970, São Paulo, Brazil
164 rdf:type schema:Organization
165 grid-institutes:grid.410543.7 schema:alternateName Food Engineering and Technology Department, UNESP – São Paulo State University, 15054-000, São José do Rio Preto, Brazil
166 schema:name Food Engineering and Technology Department, UNESP – São Paulo State University, 15054-000, São José do Rio Preto, Brazil
167 rdf:type schema:Organization
168 grid-institutes:grid.411233.6 schema:alternateName Chemical Engineering Department, Technology Center, Federal University of Rio Grande do Norte, 59072-970, RN, Brazil
169 schema:name Chemical Engineering Department, Technology Center, Federal University of Rio Grande do Norte, 59072-970, RN, Brazil
170 rdf:type schema:Organization
 




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


...