Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy

Autores
Santagapita, Patricio Roman; Tylewicz, Urszula; Panarese, Valentina; Rocculi, Pietro; Dalla Rosa, Marco
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Non-destructive rapid method based on FT-NIR spectroscopy is assessed to predict the processing response of raw materials at different ripening stages. During osmotic dehydration (61.5% sucrose solution, 5 h) ripe and unripe kiwifruits were analysed with FT-NIR spectroscopy and the most representative physico-chemical parameters to osmotic dehydration (dry matter, soluble solids content, water self-diffusion coefficient and firmness) were assessed by destructive measurements. Predictive models were successfully built by means of partial least square regression (PLSR) analysis (R2 > 0.772, test set validations) for all the four parameters destructively measured. The application of vector normalisation pre-processing was critical to eliminate spectral information that did not relate to the OD process. FT-NIR spectroscopy can successfully predict the evolution of kiwifruit physico-chemical parameters during osmotic dehydration. Thus it can be used as a tool to tune online the process parameters (e.g. time and temperature) to obtain a standardised final product starting from non-homogeneous raw materials.
Fil: Santagapita, Patricio Roman. Università di Bologna; Italia. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Industrias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Tylewicz, Urszula. Università di Bologna; Italia
Fil: Panarese, Valentina. Università di Bologna; Italia
Fil: Rocculi, Pietro. Università di Bologna; Italia
Fil: Dalla Rosa, Marco. Università di Bologna; Italia
Materia
Kiwifruit
Nir Spectroscopy
Non-Destructive Techniques
Osmotic Dehydration
Ripening Level
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/59495
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopySantagapita, Patricio RomanTylewicz, UrszulaPanarese, ValentinaRocculi, PietroDalla Rosa, MarcoKiwifruitNir SpectroscopyNon-Destructive TechniquesOsmotic DehydrationRipening Levelhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Non-destructive rapid method based on FT-NIR spectroscopy is assessed to predict the processing response of raw materials at different ripening stages. During osmotic dehydration (61.5% sucrose solution, 5 h) ripe and unripe kiwifruits were analysed with FT-NIR spectroscopy and the most representative physico-chemical parameters to osmotic dehydration (dry matter, soluble solids content, water self-diffusion coefficient and firmness) were assessed by destructive measurements. Predictive models were successfully built by means of partial least square regression (PLSR) analysis (R2 > 0.772, test set validations) for all the four parameters destructively measured. The application of vector normalisation pre-processing was critical to eliminate spectral information that did not relate to the OD process. FT-NIR spectroscopy can successfully predict the evolution of kiwifruit physico-chemical parameters during osmotic dehydration. Thus it can be used as a tool to tune online the process parameters (e.g. time and temperature) to obtain a standardised final product starting from non-homogeneous raw materials.Fil: Santagapita, Patricio Roman. Università di Bologna; Italia. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Industrias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Tylewicz, Urszula. Università di Bologna; ItaliaFil: Panarese, Valentina. Università di Bologna; ItaliaFil: Rocculi, Pietro. Università di Bologna; ItaliaFil: Dalla Rosa, Marco. Università di Bologna; ItaliaAcademic Press Inc Elsevier Science2016-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/59495Santagapita, Patricio Roman; Tylewicz, Urszula; Panarese, Valentina; Rocculi, Pietro; Dalla Rosa, Marco; Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy; Academic Press Inc Elsevier Science; Biosystems Engineering; 142; 2-2016; 101-1091537-5110CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.biosystemseng.2015.12.011info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1537511015300970info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:07:19Zoai:ri.conicet.gov.ar:11336/59495instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:07:20.022CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy
title Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy
spellingShingle Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy
Santagapita, Patricio Roman
Kiwifruit
Nir Spectroscopy
Non-Destructive Techniques
Osmotic Dehydration
Ripening Level
title_short Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy
title_full Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy
title_fullStr Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy
title_full_unstemmed Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy
title_sort Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy
dc.creator.none.fl_str_mv Santagapita, Patricio Roman
Tylewicz, Urszula
Panarese, Valentina
Rocculi, Pietro
Dalla Rosa, Marco
author Santagapita, Patricio Roman
author_facet Santagapita, Patricio Roman
Tylewicz, Urszula
Panarese, Valentina
Rocculi, Pietro
Dalla Rosa, Marco
author_role author
author2 Tylewicz, Urszula
Panarese, Valentina
Rocculi, Pietro
Dalla Rosa, Marco
author2_role author
author
author
author
dc.subject.none.fl_str_mv Kiwifruit
Nir Spectroscopy
Non-Destructive Techniques
Osmotic Dehydration
Ripening Level
topic Kiwifruit
Nir Spectroscopy
Non-Destructive Techniques
Osmotic Dehydration
Ripening Level
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Non-destructive rapid method based on FT-NIR spectroscopy is assessed to predict the processing response of raw materials at different ripening stages. During osmotic dehydration (61.5% sucrose solution, 5 h) ripe and unripe kiwifruits were analysed with FT-NIR spectroscopy and the most representative physico-chemical parameters to osmotic dehydration (dry matter, soluble solids content, water self-diffusion coefficient and firmness) were assessed by destructive measurements. Predictive models were successfully built by means of partial least square regression (PLSR) analysis (R2 > 0.772, test set validations) for all the four parameters destructively measured. The application of vector normalisation pre-processing was critical to eliminate spectral information that did not relate to the OD process. FT-NIR spectroscopy can successfully predict the evolution of kiwifruit physico-chemical parameters during osmotic dehydration. Thus it can be used as a tool to tune online the process parameters (e.g. time and temperature) to obtain a standardised final product starting from non-homogeneous raw materials.
Fil: Santagapita, Patricio Roman. Università di Bologna; Italia. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Industrias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Tylewicz, Urszula. Università di Bologna; Italia
Fil: Panarese, Valentina. Università di Bologna; Italia
Fil: Rocculi, Pietro. Università di Bologna; Italia
Fil: Dalla Rosa, Marco. Università di Bologna; Italia
description Non-destructive rapid method based on FT-NIR spectroscopy is assessed to predict the processing response of raw materials at different ripening stages. During osmotic dehydration (61.5% sucrose solution, 5 h) ripe and unripe kiwifruits were analysed with FT-NIR spectroscopy and the most representative physico-chemical parameters to osmotic dehydration (dry matter, soluble solids content, water self-diffusion coefficient and firmness) were assessed by destructive measurements. Predictive models were successfully built by means of partial least square regression (PLSR) analysis (R2 > 0.772, test set validations) for all the four parameters destructively measured. The application of vector normalisation pre-processing was critical to eliminate spectral information that did not relate to the OD process. FT-NIR spectroscopy can successfully predict the evolution of kiwifruit physico-chemical parameters during osmotic dehydration. Thus it can be used as a tool to tune online the process parameters (e.g. time and temperature) to obtain a standardised final product starting from non-homogeneous raw materials.
publishDate 2016
dc.date.none.fl_str_mv 2016-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/59495
Santagapita, Patricio Roman; Tylewicz, Urszula; Panarese, Valentina; Rocculi, Pietro; Dalla Rosa, Marco; Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy; Academic Press Inc Elsevier Science; Biosystems Engineering; 142; 2-2016; 101-109
1537-5110
CONICET Digital
CONICET
url http://hdl.handle.net/11336/59495
identifier_str_mv Santagapita, Patricio Roman; Tylewicz, Urszula; Panarese, Valentina; Rocculi, Pietro; Dalla Rosa, Marco; Non-destructive assessment of kiwifruit physico-chemical parameters to optimise the osmotic dehydration process: A study on FT-NIR spectroscopy; Academic Press Inc Elsevier Science; Biosystems Engineering; 142; 2-2016; 101-109
1537-5110
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.biosystemseng.2015.12.011
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1537511015300970
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Academic Press Inc Elsevier Science
publisher.none.fl_str_mv Academic Press Inc Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613931856822272
score 13.070432

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