Portable near infrared spectroscopy as a tool for fresh tomato quality control analysis in the field
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/app11073209 http://hdl.handle.net/11449/207595 |
Resumo: | Portable spectrometers are promising tools that can be an alternative way, for various purposes, of analyzing food quality, such as monitoring in a few seconds the internal quality during fruit ripening in the field. A portable/handheld (palm-sized) near-infrared (NIR) spectrometer (Neospectra, Si-ware) with spectral range of 1295-2611 nm, equipped with a micro- electro-mechanical system (MEMs), was used to develop prediction models to evaluate tomato quality attributes non-destructively. Soluble solid content (SSC), fructose, glucose, titratable acidity (TA), ascorbic, and citric acid contents of different types of fresh tomatoes were analyzed with standard methods, and those values were correlated to spectral data by partial least squares regression (PLSR). Fresh tomato samples were obtained in 2018 and 2019 crops in commercial production, and four fruit types were evaluated: Roma, round, grape, and cherry tomatoes. The large variation in tomato types and having the fruits from distinct years resulted in a wide range in quality parameters enabling robust PLSR models. Results showed accurate prediction and good correlation (Rpred) for SSC = 0.87, glucose = 0.83, fructose = 0.87, ascorbic acid = 0.81, and citric acid = 0.86. Our results support the assertion that a handheld NIR spectrometer has a high potential to simultaneously determine several quality attributes of different types of tomatoes in a practical and fast way. |
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Portable near infrared spectroscopy as a tool for fresh tomato quality control analysis in the fieldField productionFresh tomato qualityHandheld spectrometerInfrared spectroscopyPartial least squares (pls)Portable spectrometers are promising tools that can be an alternative way, for various purposes, of analyzing food quality, such as monitoring in a few seconds the internal quality during fruit ripening in the field. A portable/handheld (palm-sized) near-infrared (NIR) spectrometer (Neospectra, Si-ware) with spectral range of 1295-2611 nm, equipped with a micro- electro-mechanical system (MEMs), was used to develop prediction models to evaluate tomato quality attributes non-destructively. Soluble solid content (SSC), fructose, glucose, titratable acidity (TA), ascorbic, and citric acid contents of different types of fresh tomatoes were analyzed with standard methods, and those values were correlated to spectral data by partial least squares regression (PLSR). Fresh tomato samples were obtained in 2018 and 2019 crops in commercial production, and four fruit types were evaluated: Roma, round, grape, and cherry tomatoes. The large variation in tomato types and having the fruits from distinct years resulted in a wide range in quality parameters enabling robust PLSR models. Results showed accurate prediction and good correlation (Rpred) for SSC = 0.87, glucose = 0.83, fructose = 0.87, ascorbic acid = 0.81, and citric acid = 0.86. Our results support the assertion that a handheld NIR spectrometer has a high potential to simultaneously determine several quality attributes of different types of tomatoes in a practical and fast way.Department of Food and Nutrition School of Pharmaceutical Sciences São Paulo State University-UNESP, Araraquara-Jaú, Km 1Department of Food Science and Technology The Ohio State University, 100 Parker Food Science and Technology Building, 2015 Fyffe RoadDepartment of Food Engineering Faculty of Engineering Adnan Menderes UniversityDepartment of Analytical Chemistry Institute of Chemistry UNESP-São Paulo State University, 55 Prof. Francisco Degni StreetEmbrapa Instrumentation, XV de Novembro 1452Department of Food and Nutrition School of Pharmaceutical Sciences São Paulo State University-UNESP, Araraquara-Jaú, Km 1Department of Analytical Chemistry Institute of Chemistry UNESP-São Paulo State University, 55 Prof. Francisco Degni StreetUniversidade Estadual Paulista (Unesp)The Ohio State UniversityAdnan Menderes UniversityEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Borba, Karla R. [UNESP]Aykas, Didem P.Milani, Maria I. [UNESP]Colnago, Luiz A.Ferreira, Marcos D.Rodriguez-Saona, Luis E.2021-06-25T10:57:47Z2021-06-25T10:57:47Z2021-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/app11073209Applied Sciences (Switzerland), v. 11, n. 7, 2021.2076-3417http://hdl.handle.net/11449/20759510.3390/app110732092-s2.0-85104069729Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengApplied Sciences (Switzerland)info:eu-repo/semantics/openAccess2024-06-21T12:47:23Zoai:repositorio.unesp.br:11449/207595Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:26:50.904090Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Portable near infrared spectroscopy as a tool for fresh tomato quality control analysis in the field |
title |
Portable near infrared spectroscopy as a tool for fresh tomato quality control analysis in the field |
spellingShingle |
Portable near infrared spectroscopy as a tool for fresh tomato quality control analysis in the field Borba, Karla R. [UNESP] Field production Fresh tomato quality Handheld spectrometer Infrared spectroscopy Partial least squares (pls) |
title_short |
Portable near infrared spectroscopy as a tool for fresh tomato quality control analysis in the field |
title_full |
Portable near infrared spectroscopy as a tool for fresh tomato quality control analysis in the field |
title_fullStr |
Portable near infrared spectroscopy as a tool for fresh tomato quality control analysis in the field |
title_full_unstemmed |
Portable near infrared spectroscopy as a tool for fresh tomato quality control analysis in the field |
title_sort |
Portable near infrared spectroscopy as a tool for fresh tomato quality control analysis in the field |
author |
Borba, Karla R. [UNESP] |
author_facet |
Borba, Karla R. [UNESP] Aykas, Didem P. Milani, Maria I. [UNESP] Colnago, Luiz A. Ferreira, Marcos D. Rodriguez-Saona, Luis E. |
author_role |
author |
author2 |
Aykas, Didem P. Milani, Maria I. [UNESP] Colnago, Luiz A. Ferreira, Marcos D. Rodriguez-Saona, Luis E. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) The Ohio State University Adnan Menderes University Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) |
dc.contributor.author.fl_str_mv |
Borba, Karla R. [UNESP] Aykas, Didem P. Milani, Maria I. [UNESP] Colnago, Luiz A. Ferreira, Marcos D. Rodriguez-Saona, Luis E. |
dc.subject.por.fl_str_mv |
Field production Fresh tomato quality Handheld spectrometer Infrared spectroscopy Partial least squares (pls) |
topic |
Field production Fresh tomato quality Handheld spectrometer Infrared spectroscopy Partial least squares (pls) |
description |
Portable spectrometers are promising tools that can be an alternative way, for various purposes, of analyzing food quality, such as monitoring in a few seconds the internal quality during fruit ripening in the field. A portable/handheld (palm-sized) near-infrared (NIR) spectrometer (Neospectra, Si-ware) with spectral range of 1295-2611 nm, equipped with a micro- electro-mechanical system (MEMs), was used to develop prediction models to evaluate tomato quality attributes non-destructively. Soluble solid content (SSC), fructose, glucose, titratable acidity (TA), ascorbic, and citric acid contents of different types of fresh tomatoes were analyzed with standard methods, and those values were correlated to spectral data by partial least squares regression (PLSR). Fresh tomato samples were obtained in 2018 and 2019 crops in commercial production, and four fruit types were evaluated: Roma, round, grape, and cherry tomatoes. The large variation in tomato types and having the fruits from distinct years resulted in a wide range in quality parameters enabling robust PLSR models. Results showed accurate prediction and good correlation (Rpred) for SSC = 0.87, glucose = 0.83, fructose = 0.87, ascorbic acid = 0.81, and citric acid = 0.86. Our results support the assertion that a handheld NIR spectrometer has a high potential to simultaneously determine several quality attributes of different types of tomatoes in a practical and fast way. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T10:57:47Z 2021-06-25T10:57:47Z 2021-04-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3390/app11073209 Applied Sciences (Switzerland), v. 11, n. 7, 2021. 2076-3417 http://hdl.handle.net/11449/207595 10.3390/app11073209 2-s2.0-85104069729 |
url |
http://dx.doi.org/10.3390/app11073209 http://hdl.handle.net/11449/207595 |
identifier_str_mv |
Applied Sciences (Switzerland), v. 11, n. 7, 2021. 2076-3417 10.3390/app11073209 2-s2.0-85104069729 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Applied Sciences (Switzerland) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129521951440896 |