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Non-destructive measurement of mandarin orange quality parameters with visible-near infrared spectroscopy

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Resumo:The development of sensors to measure fruit internal quality variables is one of the challenges of post-harvest technology. Visible-near infrared spectroscopy (Vis/NIRS) has been a promise technique for nondestructive fruit quality assessment. This study was focused to evaluate the use of Vis/NIRS in measuring the quality parameters of intact mandarin orange fruit (Citrus clementina). The parameters studied were: firmness, color (CIEL*a*b*), peel thickness, soluble solids content (SSC), pH and total acidity (TA). A total of 120 mandarin fruit with different maturation were sampled. Reflectance NIR spectra were collected in four points of each fruit and the fruits were posteriorly analyzed for the physico-chemical parameters. Prediction models were selected based on the highest r2, lowest standard error of calibration (RMSEC) and lower number of factors used in the calculation. For color parameters (L*, a*, and b*) model had a mean square error of calibration (RMSEC) of 0.877, 1.780 and 1.589 and coefficient determination (r2) of 0.923, 0.963 and 0.852, respectively. The proposed model for the SSC had a RMSEC of 0.314 and r2 of 0.749. The results indicate that Vis/NIRS technique could provide an accurate, reliable and nondestructive method for assessing the internal quality indices.
Autores principais:Paulo, Luísa
Outros Autores:Resende, Mafalda; Nunes, André; Pintado, Cristina Miguel; Antunes, Paulo
Assunto:maturation Vis/NIRS chemometrics
Ano:2015
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Castelo Branco
Idioma:inglês
Origem:Repositório Científico do Instituto Politécnico de Castelo Branco
Descrição
Resumo:The development of sensors to measure fruit internal quality variables is one of the challenges of post-harvest technology. Visible-near infrared spectroscopy (Vis/NIRS) has been a promise technique for nondestructive fruit quality assessment. This study was focused to evaluate the use of Vis/NIRS in measuring the quality parameters of intact mandarin orange fruit (Citrus clementina). The parameters studied were: firmness, color (CIEL*a*b*), peel thickness, soluble solids content (SSC), pH and total acidity (TA). A total of 120 mandarin fruit with different maturation were sampled. Reflectance NIR spectra were collected in four points of each fruit and the fruits were posteriorly analyzed for the physico-chemical parameters. Prediction models were selected based on the highest r2, lowest standard error of calibration (RMSEC) and lower number of factors used in the calculation. For color parameters (L*, a*, and b*) model had a mean square error of calibration (RMSEC) of 0.877, 1.780 and 1.589 and coefficient determination (r2) of 0.923, 0.963 and 0.852, respectively. The proposed model for the SSC had a RMSEC of 0.314 and r2 of 0.749. The results indicate that Vis/NIRS technique could provide an accurate, reliable and nondestructive method for assessing the internal quality indices.