Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometer
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.postharvbio.2017.03.009 http://hdl.handle.net/11449/169705 |
Resumo: | ‘Palmer’ mango cultivar is a late season variety which is greatly accepted by European consumers. However, it is common to get reports of fruit quality problems, mainly due to maturity. Thus, the objective of this study was to develop calibration models for soluble solids content (SSC) and dry matter (DM) of ‘Palmer’ mangoes using portable (VIS-NIR) spectrometer. Interactance spectra were obtained with a portable F-750 spectrometer in the wavelength range of 306–1140 nm, 8 nm spectrum resolution, and 4 scans averaged per spectra. Spectra were used to develop SSC and DM models using partial least square regression (PLSR) with full cross validation. The best SSC calibration model was developed using spectra pre-processed with standard normal variate (SNV), first derivative of Savitzky–Golay and window of 699–999 nm. It was observed a RMSECV of 1.39%, with a RCV2 of 0.87, and RPD of 2.77. Better results were observed for the DM calibration model which was built with raw spectra using the window of 699–981 nm (RMSECV of 8.81 g kg−1, RCV2 of 0.84, and RPD of 2.51). Poor calibration models were obtained for firmness. The results indicated that portable VIS-NIR spectrometer can be used as a non-destructive technique to assess SSC and DM content for ‘Palmer’ mangoes. It is necessary to incorporate more sources of variation, to reduce RMSE values and improve robustness, especially for fruit SSC and DM prediction. |
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Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometerChemometricsDMMangifera indica L.PLSRSSCSWNIRS‘Palmer’ mango cultivar is a late season variety which is greatly accepted by European consumers. However, it is common to get reports of fruit quality problems, mainly due to maturity. Thus, the objective of this study was to develop calibration models for soluble solids content (SSC) and dry matter (DM) of ‘Palmer’ mangoes using portable (VIS-NIR) spectrometer. Interactance spectra were obtained with a portable F-750 spectrometer in the wavelength range of 306–1140 nm, 8 nm spectrum resolution, and 4 scans averaged per spectra. Spectra were used to develop SSC and DM models using partial least square regression (PLSR) with full cross validation. The best SSC calibration model was developed using spectra pre-processed with standard normal variate (SNV), first derivative of Savitzky–Golay and window of 699–999 nm. It was observed a RMSECV of 1.39%, with a RCV2 of 0.87, and RPD of 2.77. Better results were observed for the DM calibration model which was built with raw spectra using the window of 699–981 nm (RMSECV of 8.81 g kg−1, RCV2 of 0.84, and RPD of 2.51). Poor calibration models were obtained for firmness. The results indicated that portable VIS-NIR spectrometer can be used as a non-destructive technique to assess SSC and DM content for ‘Palmer’ mangoes. It is necessary to incorporate more sources of variation, to reduce RMSE values and improve robustness, especially for fruit SSC and DM prediction.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Universidade Estadual Paulista (UNESP) Faculdade de Ciências Agrárias e Veterinárias (FCAV) Campus de Jaboticabal Via de acesso Prof. Paulo Donato Castellane s/nCentro Universitário UNIFAFIBE, Rua Prof. Orlando França de Carvalho, 325Universidade Federal de Goiás (UFG) Escola de Agronomia (EA) Setor de Horticultura, Rodovia Goiânia Nova Veneza, km 0, Campus Samambaia, Caixa Postal 131Universidade Estadual Paulista (UNESP) Faculdade de Ciências Agrárias e Veterinárias (FCAV) Campus de Jaboticabal Via de acesso Prof. Paulo Donato Castellane s/nCAPES: 2015/03451-9FAPESP: 2015/25631-9Universidade Estadual Paulista (Unesp)Centro Universitário UNIFAFIBEUniversidade Federal de Goiás (UFG)dos Santos Neto, João Paixão [UNESP]de Assis, Mateus Wagner DantasCasagrande, Izabella Parkutz [UNESP]Cunha Júnior, Luis Carlosde Almeida Teixeira, Gustavo Henrique [UNESP]2018-12-11T16:47:15Z2018-12-11T16:47:15Z2017-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article75-80application/pdfhttp://dx.doi.org/10.1016/j.postharvbio.2017.03.009Postharvest Biology and Technology, v. 130, p. 75-80.0925-5214http://hdl.handle.net/11449/16970510.1016/j.postharvbio.2017.03.0092-s2.0-850190038482-s2.0-85019003848.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPostharvest Biology and Technology1,480info:eu-repo/semantics/openAccess2024-01-06T06:24:34Zoai:repositorio.unesp.br:11449/169705Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:14:41.373851Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometer |
title |
Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometer |
spellingShingle |
Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometer dos Santos Neto, João Paixão [UNESP] Chemometrics DM Mangifera indica L. PLSR SSC SWNIRS |
title_short |
Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometer |
title_full |
Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometer |
title_fullStr |
Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometer |
title_full_unstemmed |
Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometer |
title_sort |
Determination of ‘Palmer’ mango maturity indices using portable near infrared (VIS-NIR) spectrometer |
author |
dos Santos Neto, João Paixão [UNESP] |
author_facet |
dos Santos Neto, João Paixão [UNESP] de Assis, Mateus Wagner Dantas Casagrande, Izabella Parkutz [UNESP] Cunha Júnior, Luis Carlos de Almeida Teixeira, Gustavo Henrique [UNESP] |
author_role |
author |
author2 |
de Assis, Mateus Wagner Dantas Casagrande, Izabella Parkutz [UNESP] Cunha Júnior, Luis Carlos de Almeida Teixeira, Gustavo Henrique [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Centro Universitário UNIFAFIBE Universidade Federal de Goiás (UFG) |
dc.contributor.author.fl_str_mv |
dos Santos Neto, João Paixão [UNESP] de Assis, Mateus Wagner Dantas Casagrande, Izabella Parkutz [UNESP] Cunha Júnior, Luis Carlos de Almeida Teixeira, Gustavo Henrique [UNESP] |
dc.subject.por.fl_str_mv |
Chemometrics DM Mangifera indica L. PLSR SSC SWNIRS |
topic |
Chemometrics DM Mangifera indica L. PLSR SSC SWNIRS |
description |
‘Palmer’ mango cultivar is a late season variety which is greatly accepted by European consumers. However, it is common to get reports of fruit quality problems, mainly due to maturity. Thus, the objective of this study was to develop calibration models for soluble solids content (SSC) and dry matter (DM) of ‘Palmer’ mangoes using portable (VIS-NIR) spectrometer. Interactance spectra were obtained with a portable F-750 spectrometer in the wavelength range of 306–1140 nm, 8 nm spectrum resolution, and 4 scans averaged per spectra. Spectra were used to develop SSC and DM models using partial least square regression (PLSR) with full cross validation. The best SSC calibration model was developed using spectra pre-processed with standard normal variate (SNV), first derivative of Savitzky–Golay and window of 699–999 nm. It was observed a RMSECV of 1.39%, with a RCV2 of 0.87, and RPD of 2.77. Better results were observed for the DM calibration model which was built with raw spectra using the window of 699–981 nm (RMSECV of 8.81 g kg−1, RCV2 of 0.84, and RPD of 2.51). Poor calibration models were obtained for firmness. The results indicated that portable VIS-NIR spectrometer can be used as a non-destructive technique to assess SSC and DM content for ‘Palmer’ mangoes. It is necessary to incorporate more sources of variation, to reduce RMSE values and improve robustness, especially for fruit SSC and DM prediction. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-08-01 2018-12-11T16:47:15Z 2018-12-11T16:47:15Z |
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/10.1016/j.postharvbio.2017.03.009 Postharvest Biology and Technology, v. 130, p. 75-80. 0925-5214 http://hdl.handle.net/11449/169705 10.1016/j.postharvbio.2017.03.009 2-s2.0-85019003848 2-s2.0-85019003848.pdf |
url |
http://dx.doi.org/10.1016/j.postharvbio.2017.03.009 http://hdl.handle.net/11449/169705 |
identifier_str_mv |
Postharvest Biology and Technology, v. 130, p. 75-80. 0925-5214 10.1016/j.postharvbio.2017.03.009 2-s2.0-85019003848 2-s2.0-85019003848.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Postharvest Biology and Technology 1,480 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
75-80 application/pdf |
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_ |
1808129408140050432 |