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http://repositorio.ufla.br/jspui/handle/1/36943
Título: | Espectroscopia no infravermelho próximo para classificação de frutos de morango quanto ao sistema de cultivo e tempo de armazenamento |
Título(s) alternativo(s): | Near infrared spectroscopy for strawberry fruit classification regarding the cultivation system and the storage period |
Autores: | Resende, Luciane Vilela Santos, Heloisa Oliveira dos Nassur, Rita de Cássia Mirela Resende |
Palavras-chave: | Espectros Fragaria x ananassa Duch Near infrared spectroscopy (NIR) Quimiometria Spectra Chemometrics |
Data do documento: | 26-Set-2019 |
Editor: | Universidade Federal de Lavras |
Citação: | FERREIRA, T. C. R. Espectroscopia no infravermelho próximo para classificação de frutos de morango quanto ao sistema de cultivo e tempo de armazenamento. 2019. 78 p. Dissertação (Mestrado em Agronomia/Fitotecnia) - Universidade Federal de Lavras, Lavras, 2019. |
Resumo: | Near infrared spectroscopy (NIR) is a fast, accurate and non-destructive technique that can be used to determine the quality of harvested and marketed strawberry fruits. Therefore, this study aimed to verify the potential of NIR spectroscopy (Tensor 27 Bruker® equipment, with Fourier- transform near-infrared detector) to identify fruits from conventional cultivation and semi- hydroponic systemss, as well as to determine fruit quality parameters and storage period. Fruits of the cultivar San Andreas were harvested in two cultivation areas (conventional and semi- hydroponic) located in Bom Repouso, state of Minas Gerais. The randomized complete design (CRD) was adopted, using a 2 x 5 factorial, with three replications. Two cultivation systems (conventional and semi-hydroponic) associated with five storage periods (D0: harvest day, D2: second day, D4: fourth day, D6: sixth day and D8: eighth day) were studied, totaling 30 experimental plots with 10 fruits each. Fruits were harvested and stored in BOD at a constant temperature of 5 °C. Spectra were obtained by NIR analysis using whole fruits. The data were processed and analyzed by principal component analysis (PCA), partial least squares regression (PLS-R) and partial least discriminant analysis (PLS-DA), using Chemoface® statistical softaware. By using NIR associated with chemometric analysis, it was not possible to differentiate strawberry fruits from conventional and semi-hydroponic production systems. PCA showed spectral similarity and it was not possible to separate the treatments. By PLS-R the models obtained by NIR were inefficient. Nevertheless, it was possible to classify the fruits in relation to the storage period in each cultivation system using PLS-DA. |
URI: | http://repositorio.ufla.br/jspui/handle/1/36943 |
Aparece nas coleções: | Agronomia/Fitotecnia - Mestrado (Dissertações) |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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DISSERTAÇÃO_Espectroscopia no infravermelho próximo para classificação de frutos de morango quanto ao sistema de cultivo e tempo de armazenamento.pdf | 2,91 MB | Adobe PDF | Visualizar/Abrir |
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