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

article

Paulo, L.
Resende, M.
Nunes, A.
Pintado, Cristina Miguel
Antunes, P.

Sociedade Espanhola de Ciências Horticolas

Paulo L, Resende M, Nunes A, Miguel Pintado C, Antunes P (2015), Non-destructive measurement of mandarin orange quality parameters with visible -near infrared spectroscopy, Actas de Horticultura, 71: 302-305.

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

maturation
Vis/NIRS
chemometrics

The MITTIC Project, Technological Modernisation and Innovation based on ICT in strategic and traditional sectors, is financed jointly by the European Regional Development Fund (ERDF), through the Operational Programme of Crossborder Cooperation Spain - Portugal (POCTEP) 2007-2013

2020-04-13T17:40:32Z
2020-04-13T17:40:32Z
2015

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.
info:eu-repo/semantics/publishedVersion

openAccess

eng