Ultrasound pre-treatment prior to unripe banana air-drying: effect of the ultrasonic volumetric power on the kinetic parameters View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-10-11

AUTHORS

Carla I. A. La Fuente, Carmen C. Tadini

ABSTRACT

Aiming to decrease the water content during the air-drying process of unripe banana slices, ultrasound (US) pre-treatments (25 °C) for 20 and 25 min at 9.38 and 25.63 W/L ultrasonic volumetric power were evaluated. Air-drying was performed at 50 and 60 °C for 360 min. Unripe banana slices pretreated at 25.63 W/L did not improve water migration, under either air-drying temperature, while slices pretreated at 9.38 W/L resulted in an increase in water effective diffusivity of 4.8 and 13.7% at 20 min US + air-drying at 50 °C and 25 min US + air-drying at 60 °C, respectively. The drying time saving of 7% and 9%, respectively, was achieved, showing that these treatments were alternative for processing unripe banana slices. Thus, ultrasound and air-drying operational parameters required accurately defined to achieve desirable results. Experimental data were adjusted to four models and the Midilli model resulted in the best experimental data fit, with r2 > 0.9988, RMSE < 0.0873 and χ2 < 0.00996. More... »

PAGES

5098-5105

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13197-018-3450-1

DOI

http://dx.doi.org/10.1007/s13197-018-3450-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107553547

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30483006


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Chemical Engineering, Escola Polit\u00e9cnica, University of S\u00e3o Paulo, Main Campus, 05508-010, S\u00e3o Paulo, SP, Brazil", 
          "id": "http://www.grid.ac/institutes/grid.11899.38", 
          "name": [
            "Department of Chemical Engineering, Escola Polit\u00e9cnica, University of S\u00e3o Paulo, Main Campus, 05508-010, S\u00e3o Paulo, SP, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "La Fuente", 
        "givenName": "Carla I. A.", 
        "id": "sg:person.013023360166.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013023360166.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Food Research Center (FoRC/NAPAN), University of S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil", 
          "id": "http://www.grid.ac/institutes/grid.11899.38", 
          "name": [
            "Department of Chemical Engineering, Escola Polit\u00e9cnica, University of S\u00e3o Paulo, Main Campus, 05508-010, S\u00e3o Paulo, SP, Brazil", 
            "Food Research Center (FoRC/NAPAN), University of S\u00e3o Paulo, S\u00e3o Paulo, SP, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tadini", 
        "givenName": "Carmen C.", 
        "id": "sg:person.014217113053.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014217113053.35"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2018-10-11", 
    "datePublishedReg": "2018-10-11", 
    "description": "Aiming to decrease the water content during the air-drying process of unripe banana slices, ultrasound (US) pre-treatments (25\u00a0\u00b0C) for 20 and 25\u00a0min at 9.38 and 25.63\u00a0W/L ultrasonic volumetric power were evaluated. Air-drying was performed at 50 and 60\u00a0\u00b0C for 360\u00a0min. Unripe banana slices pretreated at 25.63\u00a0W/L did not improve water migration, under either air-drying temperature, while slices pretreated at 9.38\u00a0W/L resulted in an increase in water effective diffusivity of 4.8 and 13.7% at 20\u00a0min US\u2009+\u2009air-drying at 50\u00a0\u00b0C and 25\u00a0min US\u2009+\u2009air-drying at 60\u00a0\u00b0C, respectively. The drying time saving of 7% and 9%, respectively, was achieved, showing that these treatments were alternative for processing unripe banana slices. Thus, ultrasound and air-drying operational parameters required accurately defined to achieve desirable results. Experimental data were adjusted to four models and the Midilli model resulted in the best experimental data fit, with r2\u2009>\u20090.9988, RMSE\u2009<\u20090.0873 and \u03c72\u2009<\u20090.00996.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s13197-018-3450-1", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.9107910", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4472867", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1006305", 
        "issn": [
          "0022-1155", 
          "0975-8402"
        ], 
        "name": "Journal of Food Science and Technology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "55"
      }
    ], 
    "keywords": [
      "unripe banana slices", 
      "volumetric power", 
      "banana slices", 
      "air-drying process", 
      "air-drying temperature", 
      "water effective diffusivity", 
      "min ultrasound", 
      "Midilli model", 
      "experimental data fit", 
      "operational parameters", 
      "effective diffusivity", 
      "water migration", 
      "experimental data", 
      "water content", 
      "unripe banana", 
      "power", 
      "diffusivity", 
      "time savings", 
      "data fit", 
      "parameters", 
      "desirable results", 
      "temperature", 
      "kinetic parameters", 
      "savings", 
      "RMSE", 
      "model", 
      "process", 
      "ultrasound", 
      "content", 
      "min", 
      "results", 
      "increase", 
      "effect", 
      "R2", 
      "fit", 
      "slices", 
      "data", 
      "banana", 
      "migration", 
      "treatment", 
      "\u03c72", 
      "ultrasonic volumetric power", 
      "air-drying operational parameters", 
      "best experimental data fit"
    ], 
    "name": "Ultrasound pre-treatment prior to unripe banana air-drying: effect of the ultrasonic volumetric power on the kinetic parameters", 
    "pagination": "5098-5105", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1107553547"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13197-018-3450-1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30483006"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13197-018-3450-1", 
      "https://app.dimensions.ai/details/publication/pub.1107553547"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:43", 
    "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_780.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s13197-018-3450-1"
  }
]
 

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/s13197-018-3450-1'

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/s13197-018-3450-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13197-018-3450-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13197-018-3450-1'


 

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

119 TRIPLES      21 PREDICATES      70 URIs      62 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13197-018-3450-1 schema:about anzsrc-for:09
2 anzsrc-for:0904
3 schema:author Nebe8726188374f93a187d6b9d6a79111
4 schema:datePublished 2018-10-11
5 schema:datePublishedReg 2018-10-11
6 schema:description Aiming to decrease the water content during the air-drying process of unripe banana slices, ultrasound (US) pre-treatments (25 °C) for 20 and 25 min at 9.38 and 25.63 W/L ultrasonic volumetric power were evaluated. Air-drying was performed at 50 and 60 °C for 360 min. Unripe banana slices pretreated at 25.63 W/L did not improve water migration, under either air-drying temperature, while slices pretreated at 9.38 W/L resulted in an increase in water effective diffusivity of 4.8 and 13.7% at 20 min US + air-drying at 50 °C and 25 min US + air-drying at 60 °C, respectively. The drying time saving of 7% and 9%, respectively, was achieved, showing that these treatments were alternative for processing unripe banana slices. Thus, ultrasound and air-drying operational parameters required accurately defined to achieve desirable results. Experimental data were adjusted to four models and the Midilli model resulted in the best experimental data fit, with r2 > 0.9988, RMSE < 0.0873 and χ2 < 0.00996.
7 schema:genre article
8 schema:inLanguage en
9 schema:isAccessibleForFree true
10 schema:isPartOf N17f499aa25bc494b8f9c662832370ab2
11 N2951b360f22f4c17ba31026efab7d14a
12 sg:journal.1006305
13 schema:keywords Midilli model
14 R2
15 RMSE
16 air-drying operational parameters
17 air-drying process
18 air-drying temperature
19 banana
20 banana slices
21 best experimental data fit
22 content
23 data
24 data fit
25 desirable results
26 diffusivity
27 effect
28 effective diffusivity
29 experimental data
30 experimental data fit
31 fit
32 increase
33 kinetic parameters
34 migration
35 min
36 min ultrasound
37 model
38 operational parameters
39 parameters
40 power
41 process
42 results
43 savings
44 slices
45 temperature
46 time savings
47 treatment
48 ultrasonic volumetric power
49 ultrasound
50 unripe banana
51 unripe banana slices
52 volumetric power
53 water content
54 water effective diffusivity
55 water migration
56 χ2
57 schema:name Ultrasound pre-treatment prior to unripe banana air-drying: effect of the ultrasonic volumetric power on the kinetic parameters
58 schema:pagination 5098-5105
59 schema:productId N4cd57b2d42504a1f99001c182f234a00
60 N50784ee5f51240a29ac9d8cf7154df2e
61 Ncaf2516788814f1c91c397b355f91b3a
62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107553547
63 https://doi.org/10.1007/s13197-018-3450-1
64 schema:sdDatePublished 2021-12-01T19:43
65 schema:sdLicense https://scigraph.springernature.com/explorer/license/
66 schema:sdPublisher N987b7a2c37ce499bb50d1d5c4ba775e1
67 schema:url https://doi.org/10.1007/s13197-018-3450-1
68 sgo:license sg:explorer/license/
69 sgo:sdDataset articles
70 rdf:type schema:ScholarlyArticle
71 N17f499aa25bc494b8f9c662832370ab2 schema:volumeNumber 55
72 rdf:type schema:PublicationVolume
73 N2951b360f22f4c17ba31026efab7d14a schema:issueNumber 12
74 rdf:type schema:PublicationIssue
75 N4cd57b2d42504a1f99001c182f234a00 schema:name pubmed_id
76 schema:value 30483006
77 rdf:type schema:PropertyValue
78 N50784ee5f51240a29ac9d8cf7154df2e schema:name dimensions_id
79 schema:value pub.1107553547
80 rdf:type schema:PropertyValue
81 N8857a8c49f224c79b9cc5761bbe42861 rdf:first sg:person.014217113053.35
82 rdf:rest rdf:nil
83 N987b7a2c37ce499bb50d1d5c4ba775e1 schema:name Springer Nature - SN SciGraph project
84 rdf:type schema:Organization
85 Ncaf2516788814f1c91c397b355f91b3a schema:name doi
86 schema:value 10.1007/s13197-018-3450-1
87 rdf:type schema:PropertyValue
88 Nebe8726188374f93a187d6b9d6a79111 rdf:first sg:person.013023360166.87
89 rdf:rest N8857a8c49f224c79b9cc5761bbe42861
90 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
91 schema:name Engineering
92 rdf:type schema:DefinedTerm
93 anzsrc-for:0904 schema:inDefinedTermSet anzsrc-for:
94 schema:name Chemical Engineering
95 rdf:type schema:DefinedTerm
96 sg:grant.4472867 http://pending.schema.org/fundedItem sg:pub.10.1007/s13197-018-3450-1
97 rdf:type schema:MonetaryGrant
98 sg:grant.9107910 http://pending.schema.org/fundedItem sg:pub.10.1007/s13197-018-3450-1
99 rdf:type schema:MonetaryGrant
100 sg:journal.1006305 schema:issn 0022-1155
101 0975-8402
102 schema:name Journal of Food Science and Technology
103 schema:publisher Springer Nature
104 rdf:type schema:Periodical
105 sg:person.013023360166.87 schema:affiliation grid-institutes:grid.11899.38
106 schema:familyName La Fuente
107 schema:givenName Carla I. A.
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013023360166.87
109 rdf:type schema:Person
110 sg:person.014217113053.35 schema:affiliation grid-institutes:grid.11899.38
111 schema:familyName Tadini
112 schema:givenName Carmen C.
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014217113053.35
114 rdf:type schema:Person
115 grid-institutes:grid.11899.38 schema:alternateName Department of Chemical Engineering, Escola Politécnica, University of São Paulo, Main Campus, 05508-010, São Paulo, SP, Brazil
116 Food Research Center (FoRC/NAPAN), University of São Paulo, São Paulo, SP, Brazil
117 schema:name Department of Chemical Engineering, Escola Politécnica, University of São Paulo, Main Campus, 05508-010, São Paulo, SP, Brazil
118 Food Research Center (FoRC/NAPAN), University of São Paulo, São Paulo, SP, Brazil
119 rdf:type schema:Organization
 




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


...