|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
18/01/2017 |
Data da última atualização: |
17/01/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
MALEGORI, C.; MARQUES, E. J. N.; FREITAS, S. T. de; PIMENTEL, M. F.; PASQUINI, C.; CASIRAGHI, E. |
Afiliação: |
CRISTINA MALEGORI, DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy; EMANUEL JOSÉ NASCIMENTO MARQUES, UFPE; SERGIO TONETTO DE FREITAS, CPATSA; MARIA FERNANDA PIMENTEL, UFPE; CELIO PASQUINI, Institute of Chemistry, University of Campinas, Campinas (SP); ERNESTINA CASIRAGHI, DeFENS Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Milano, Italy. |
Título: |
Comparing the analytical performances of Micro-NIR and FT-NIR spectrometers in the evaluation of acerola fruit quality, using PLS and SVM regression algorithms. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Talanta, v. 165, 112-116, 2017. |
DOI: |
10.1016/j.talanta.2016.12.035 |
Idioma: |
Inglês |
Conteúdo: |
The main goal of this study was to investigate the analytical performances of a state-of-the-art device, one of the smallest dispersion NIR spectrometers on the market (MicroNIR 1700), making a critical comparison with a benchtop FT-NIR spectrometer in the evaluation of the prediction accuracy. In particular, the aim of this study was to estimate in a non-destructive manner, titratable acidity and ascorbic acid content in acerola fruit during ripening, in a view of direct applicability in field of this new miniaturised handheld device. Acerola (Malpighia emarginata DC.) is a super-fruit characterised by a considerable amount of ascorbic acid, ranging from 1.0% to 4.5%. However, during ripening, acerola colour changes and the fruit may lose as much as half of its ascorbic acid content. Because the variability of chemical parameters followed a non-strictly linear profile, two different regression algorithms were compared: PLS and SVM. Regression models obtained with Micro-NIR spectra give better results using SVM algorithm, for both ascorbic acid and titratable acidity estimation. FT-NIR data give comparable results using both SVM and PLS algorithms, with lower errors for SVM regression. The prediction ability of the two instruments was statistically compared using the Passing-Bablok regression algorithm; the outcomes are critically discussed together with the regression models, showing the suitability of the portable Micro-NIR for in field monitoring of chemical parameters of interest in acerola fruits. MenosThe main goal of this study was to investigate the analytical performances of a state-of-the-art device, one of the smallest dispersion NIR spectrometers on the market (MicroNIR 1700), making a critical comparison with a benchtop FT-NIR spectrometer in the evaluation of the prediction accuracy. In particular, the aim of this study was to estimate in a non-destructive manner, titratable acidity and ascorbic acid content in acerola fruit during ripening, in a view of direct applicability in field of this new miniaturised handheld device. Acerola (Malpighia emarginata DC.) is a super-fruit characterised by a considerable amount of ascorbic acid, ranging from 1.0% to 4.5%. However, during ripening, acerola colour changes and the fruit may lose as much as half of its ascorbic acid content. Because the variability of chemical parameters followed a non-strictly linear profile, two different regression algorithms were compared: PLS and SVM. Regression models obtained with Micro-NIR spectra give better results using SVM algorithm, for both ascorbic acid and titratable acidity estimation. FT-NIR data give comparable results using both SVM and PLS algorithms, with lower errors for SVM regression. The prediction ability of the two instruments was statistically compared using the Passing-Bablok regression algorithm; the outcomes are critically discussed together with the regression models, showing the suitability of the portable Micro-NIR for in field monitoring of chemical parameters of... Mostrar Tudo |
Palavras-Chave: |
Máquinas vector de suporte; MicroNIR; Partial Least Squares (PLS); Passing-Bablok regre; Regressão de Passo-Bablok; Support Vector Machines (SVM). |
Thesagro: |
Acerola; Acidez; Maturação; Vitamina C. |
Thesaurus Nal: |
Malpighia emarginata. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02552naa a2200325 a 4500 001 2061108 005 2018-01-17 008 2017 bl uuuu u00u1 u #d 024 7 $a10.1016/j.talanta.2016.12.035$2DOI 100 1 $aMALEGORI, C. 245 $aComparing the analytical performances of Micro-NIR and FT-NIR spectrometers in the evaluation of acerola fruit quality, using PLS and SVM regression algorithms.$h[electronic resource] 260 $c2017 520 $aThe main goal of this study was to investigate the analytical performances of a state-of-the-art device, one of the smallest dispersion NIR spectrometers on the market (MicroNIR 1700), making a critical comparison with a benchtop FT-NIR spectrometer in the evaluation of the prediction accuracy. In particular, the aim of this study was to estimate in a non-destructive manner, titratable acidity and ascorbic acid content in acerola fruit during ripening, in a view of direct applicability in field of this new miniaturised handheld device. Acerola (Malpighia emarginata DC.) is a super-fruit characterised by a considerable amount of ascorbic acid, ranging from 1.0% to 4.5%. However, during ripening, acerola colour changes and the fruit may lose as much as half of its ascorbic acid content. Because the variability of chemical parameters followed a non-strictly linear profile, two different regression algorithms were compared: PLS and SVM. Regression models obtained with Micro-NIR spectra give better results using SVM algorithm, for both ascorbic acid and titratable acidity estimation. FT-NIR data give comparable results using both SVM and PLS algorithms, with lower errors for SVM regression. The prediction ability of the two instruments was statistically compared using the Passing-Bablok regression algorithm; the outcomes are critically discussed together with the regression models, showing the suitability of the portable Micro-NIR for in field monitoring of chemical parameters of interest in acerola fruits. 650 $aMalpighia emarginata 650 $aAcerola 650 $aAcidez 650 $aMaturação 650 $aVitamina C 653 $aMáquinas vector de suporte 653 $aMicroNIR 653 $aPartial Least Squares (PLS) 653 $aPassing-Bablok regre 653 $aRegressão de Passo-Bablok 653 $aSupport Vector Machines (SVM) 700 1 $aMARQUES, E. J. N. 700 1 $aFREITAS, S. T. de 700 1 $aPIMENTEL, M. F. 700 1 $aPASQUINI, C. 700 1 $aCASIRAGHI, E. 773 $tTalanta$gv. 165, 112-116, 2017.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Semiárido (CPATSA) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
Registro Completo
Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
Data corrente: |
18/12/2015 |
Data da última atualização: |
28/03/2016 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
STIER, L.; GUIMARÃES, L. L.; OLIVEIRA, M. Z. A. de; BARBOSA, C. de J. |
Afiliação: |
LORENÇO STIER, UFBA; LUMA LISLEY GUIMARÃES, UNIJORGE; MARIA ZÉLIA ALENCAR DE OLIVEIRA, EBDA; CRISTIANE DE JESUS BARBOSA, CNPMF. |
Título: |
Identificação de fungos associados à biota de solos de pomares de citros da Bahia. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
In: JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 9., 2015: Cruz das Almas, BA. Pesquisa: para quê? para quem? : resumos. Brasília, DF : Embrapa, 2015. |
Idioma: |
Português |
Conteúdo: |
A cultura de citros na Bahia é de grande importância socioeconômica já que está constituída, basicamente, por agricultores familiares. O estado da Bahia é o segundo maior polo de produção do Brasil, perdendo apenas para São Paulo. |
Palavras-Chave: |
Controle; Entomopatógenos. |
Thesagro: |
Fruta cítrica. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/135888/1/Identificacao-de-fungos.pdf
|
Marc: |
LEADER 00901nam a2200181 a 4500 001 2032019 005 2016-03-28 008 2015 bl uuuu u00u1 u #d 100 1 $aSTIER, L. 245 $aIdentificação de fungos associados à biota de solos de pomares de citros da Bahia.$h[electronic resource] 260 $aIn: JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 9., 2015: Cruz das Almas, BA. Pesquisa: para quê? para quem? : resumos. Brasília, DF : Embrapa$c2015 520 $aA cultura de citros na Bahia é de grande importância socioeconômica já que está constituída, basicamente, por agricultores familiares. O estado da Bahia é o segundo maior polo de produção do Brasil, perdendo apenas para São Paulo. 650 $aFruta cítrica 653 $aControle 653 $aEntomopatógenos 700 1 $aGUIMARÃES, L. L. 700 1 $aOLIVEIRA, M. Z. A. de 700 1 $aBARBOSA, C. de J.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Nenhum registro encontrado para a expressão de busca informada. |
|
|