Non-destructive assessment of quality traits in apples and pears using near infrared spectroscopy and chemometrics.
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1154443 https://dx.doi.org/10.1590/0100-29452023969 |
Resumo: | The objective of this study was to evaluate the performance of a hand-held NIR spectrometer for non-destructive quality analysis of apples and pears produced in the Brazilian Semi-arid region. NIR spectra were acquired with a portable spectrometer in the wavelength range of 750–1065 nm and reference analyses of dry matter content (DMC) and soluble solids content (SSC) were measured weekly during 10 weeks of storage at 0.5 °C. Spectra were pre-processed with standard normal variate and used to develop DMC and SSC models using partial least squares re- gression with full cross-validation. The models were validated using data not included in the calibration. Satisfactory prediction results were obtained for SSC in apples (R² = 0.58) and pears (R² = 0.55), and for DMC in apples (R² = 0.55) and pears (R² = 0.65). All prediction models showed a relative root mean square error of prediction lower than 8%. These findings indicate that the NIR spectrometer is a promising tool to be used for a rapid and non-destructive determination of internal quality traits in apples and pears. |
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Non-destructive assessment of quality traits in apples and pears using near infrared spectroscopy and chemometrics.Regressão de mínimos quadrados parciaisRegressão multivariadaQualidade do frutoSólidos solúveisQuimiometriaEspectrômetro portátil NIRMaçãPêraPós-ColheitaMatéria SecaFruit qualityTotal soluble solidsDry matter intakeApplesPearsThe objective of this study was to evaluate the performance of a hand-held NIR spectrometer for non-destructive quality analysis of apples and pears produced in the Brazilian Semi-arid region. NIR spectra were acquired with a portable spectrometer in the wavelength range of 750–1065 nm and reference analyses of dry matter content (DMC) and soluble solids content (SSC) were measured weekly during 10 weeks of storage at 0.5 °C. Spectra were pre-processed with standard normal variate and used to develop DMC and SSC models using partial least squares re- gression with full cross-validation. The models were validated using data not included in the calibration. Satisfactory prediction results were obtained for SSC in apples (R² = 0.58) and pears (R² = 0.55), and for DMC in apples (R² = 0.55) and pears (R² = 0.65). All prediction models showed a relative root mean square error of prediction lower than 8%. These findings indicate that the NIR spectrometer is a promising tool to be used for a rapid and non-destructive determination of internal quality traits in apples and pears.JOÃO CLAUDIO VILVERT, State University of Southwestern Bahia, Vitória da Conquista-BA; LUANA FERREIRA DOS SANTOS; ADRIANA DIAS CARDOSO, State University of Southwestern Bahia, Vitória da Conquista-BA; PAULO ROBERTO COELHO LOPES, CPATSA; CASSANDRO VIDAL TALAMINI DO AMARANTE, State University of Santa Catarina, Lages-SC; SERGIO TONETTO DE FREITAS, CPATSA.VILVERT, J. C.SANTOS, L. F. dosCARDOSO, A. D.LOPES, P. R. C.AMARANTE, C. V. T. doFREITAS, S. T. de2023-06-15T15:24:52Z2023-06-15T15:24:52Z2023-06-152023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Brasileira de Fruticultura, v. 45, e-969, Mar./Apr. 2023.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1154443https://dx.doi.org/10.1590/0100-29452023969enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-06-15T15:24:52Zoai:www.alice.cnptia.embrapa.br:doc/1154443Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-06-15T15:24:52falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-06-15T15:24:52Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Non-destructive assessment of quality traits in apples and pears using near infrared spectroscopy and chemometrics. |
title |
Non-destructive assessment of quality traits in apples and pears using near infrared spectroscopy and chemometrics. |
spellingShingle |
Non-destructive assessment of quality traits in apples and pears using near infrared spectroscopy and chemometrics. VILVERT, J. C. Regressão de mínimos quadrados parciais Regressão multivariada Qualidade do fruto Sólidos solúveis Quimiometria Espectrômetro portátil NIR Maçã Pêra Pós-Colheita Matéria Seca Fruit quality Total soluble solids Dry matter intake Apples Pears |
title_short |
Non-destructive assessment of quality traits in apples and pears using near infrared spectroscopy and chemometrics. |
title_full |
Non-destructive assessment of quality traits in apples and pears using near infrared spectroscopy and chemometrics. |
title_fullStr |
Non-destructive assessment of quality traits in apples and pears using near infrared spectroscopy and chemometrics. |
title_full_unstemmed |
Non-destructive assessment of quality traits in apples and pears using near infrared spectroscopy and chemometrics. |
title_sort |
Non-destructive assessment of quality traits in apples and pears using near infrared spectroscopy and chemometrics. |
author |
VILVERT, J. C. |
author_facet |
VILVERT, J. C. SANTOS, L. F. dos CARDOSO, A. D. LOPES, P. R. C. AMARANTE, C. V. T. do FREITAS, S. T. de |
author_role |
author |
author2 |
SANTOS, L. F. dos CARDOSO, A. D. LOPES, P. R. C. AMARANTE, C. V. T. do FREITAS, S. T. de |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
JOÃO CLAUDIO VILVERT, State University of Southwestern Bahia, Vitória da Conquista-BA; LUANA FERREIRA DOS SANTOS; ADRIANA DIAS CARDOSO, State University of Southwestern Bahia, Vitória da Conquista-BA; PAULO ROBERTO COELHO LOPES, CPATSA; CASSANDRO VIDAL TALAMINI DO AMARANTE, State University of Santa Catarina, Lages-SC; SERGIO TONETTO DE FREITAS, CPATSA. |
dc.contributor.author.fl_str_mv |
VILVERT, J. C. SANTOS, L. F. dos CARDOSO, A. D. LOPES, P. R. C. AMARANTE, C. V. T. do FREITAS, S. T. de |
dc.subject.por.fl_str_mv |
Regressão de mínimos quadrados parciais Regressão multivariada Qualidade do fruto Sólidos solúveis Quimiometria Espectrômetro portátil NIR Maçã Pêra Pós-Colheita Matéria Seca Fruit quality Total soluble solids Dry matter intake Apples Pears |
topic |
Regressão de mínimos quadrados parciais Regressão multivariada Qualidade do fruto Sólidos solúveis Quimiometria Espectrômetro portátil NIR Maçã Pêra Pós-Colheita Matéria Seca Fruit quality Total soluble solids Dry matter intake Apples Pears |
description |
The objective of this study was to evaluate the performance of a hand-held NIR spectrometer for non-destructive quality analysis of apples and pears produced in the Brazilian Semi-arid region. NIR spectra were acquired with a portable spectrometer in the wavelength range of 750–1065 nm and reference analyses of dry matter content (DMC) and soluble solids content (SSC) were measured weekly during 10 weeks of storage at 0.5 °C. Spectra were pre-processed with standard normal variate and used to develop DMC and SSC models using partial least squares re- gression with full cross-validation. The models were validated using data not included in the calibration. Satisfactory prediction results were obtained for SSC in apples (R² = 0.58) and pears (R² = 0.55), and for DMC in apples (R² = 0.55) and pears (R² = 0.65). All prediction models showed a relative root mean square error of prediction lower than 8%. These findings indicate that the NIR spectrometer is a promising tool to be used for a rapid and non-destructive determination of internal quality traits in apples and pears. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-06-15T15:24:52Z 2023-06-15T15:24:52Z 2023-06-15 2023 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Revista Brasileira de Fruticultura, v. 45, e-969, Mar./Apr. 2023. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1154443 https://dx.doi.org/10.1590/0100-29452023969 |
identifier_str_mv |
Revista Brasileira de Fruticultura, v. 45, e-969, Mar./Apr. 2023. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1154443 https://dx.doi.org/10.1590/0100-29452023969 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503545856196608 |