Non-destructive evaluation of maturity and quality parameters of pomegranate fruit by visible/near infrared spectroscopy

Khodabakhshian, R. and Emadi, B. and Khojastehpour, M. and Golzarian, M. R. and Sazgarnia, A. (2017) Non-destructive evaluation of maturity and quality parameters of pomegranate fruit by visible/near infrared spectroscopy. International Journal of Food Properties, 20 (1). pp. 41-52.

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In this study, the potential of visible and near infrared spectroscopy was investigated to classify the maturity stage and to predict the quality attributes of pomegranate variety “Ashraf” such as total soluble solids content, pH, and titratable acidity during four distinct maturity stages between 88 and 143 days after full bloom. Principal component analysis was used to distinguish among different maturities. The prediction models of internal quality attributes of the pomegranate were developed by partial least squares regression. The transmission spectra of pomegranate were obtained in the wavelength range from 400 to 1100 nm. In this research several preprocessing methods were utilized including centering, smoothing (Savitzky–Golay algorithm, median filter), normalization (multiplicative scatter correction and standard normal variate) and differentiation (first derivative and second derivative). It concluded that different preprocessing techniques had effects on the classification performance of the model using the principal component analysis method. In general, standard normal variate and multiplicative scatter correction gave better results than the other pretreatments. The correlation coefficients (r), root mean square error of calibration and ratio performance deviation for the calibration models were calculated: r = 0.93, root mean square error of calibration = 0.22 °Brix and ratio performance deviation = 6.4 °Brix for total soluble solids; r = 0.84, root mean square error of calibration = 0.064 and ratio performance deviation = 4.95 for pH; r = 0.94, root mean square error of calibration = 0.25 and ratio performance deviation = 5.35 for titratable acidity. © 2017 Taylor & Francis Group, LLC.

Item Type: Article
Additional Information: Cited By :15 Export Date: 16 February 2020 CODEN: IJFPF Correspondence Address: Emadi, B.; Department of Mechanics of Biosystem Engineering, Ferdowsi University of Mashhad, Azadi square, Iran; email:
Uncontrolled Keywords: Internal quality Partial least squares (PLS) regression Pomegranate fruit Principal component analysis (PCA) Visible and near infrared (Vis/NIR) spectroscopy Calibration Errors Fruits Infrared devices Infrared spectroscopy Least squares approximations Light scattering Mean square error Median filters Near infrared spectroscopy Nondestructive examination Quality control Soil conditioners Spectrum analysis Multiplicative scatter correction Partial least-squares regression Principal component analysis method Root mean square error of calibrations Visible and near infrared Visible and near-infrared spectroscopy Visible/near infrared spectroscopy Principal component analysis
Subjects: W General medicine- Health professions
Divisions: Mashhad University of Medical Sciences
Depositing User: mr lib3 lib3
Date Deposited: 03 Mar 2020 10:40
Last Modified: 03 Mar 2020 10:40

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