Development of a multispectral imaging system for online quality assessment of pomegranate fruit. Issue 1 (2nd January 2017)

• Record Type: Journal Article
• Authors: Khodabakhshian, Rasool; Emadi, Bagher; Khojastehpour, Mehdi; Golzarian, Mahmood Reza; Sazgarnia, Ameneh
• Is Part Of: International journal of food properties. Volume 20:Issue 1(2017)
• Page Start: 107
• Page End: 118
• Publication Date: 2017-01-02
• Subjects: Multispectral imaging -- Pomegranate -- Quality -- Optimal wavelengths -- PLS, MLR; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664.0705
• DOI: 10.1080/10942912.2016.1144200
• Languages: English
• ISSNs: 1094-2912

Abstract

ABSTRACT: The objective of this study was to develop a prototype multispectral imaging system for online quality assessment on pomegranate fruit. At first, a visible/near infrared spectroscopy (400–1100 nm) was tested for non-destructive determination of total soluble solids, titratable acidity, and pH. The spectral data were analyzed using the partial least square analysis. Then to establish consistent multispectral imaging system, the highest absolute values of β-coeffcients correspond to wavelengths from the best partial least square calibration model were selected and used for identifying the optimal wavelengths. Consequently, a multispectral imaging system was developed based on the effective wavelengths 700, 800, 900, and 1000 nm. The performance of the developed multispectral imaging system was evaluated by multiple linear regression models. The multiple linear regression model predict total soluble solids with r = 0.97, root mean square error of calibration = 0.21°Brix, and ratio performance deviation = 6.7 °Brix. Also, the results showed that the models had good predictive ability for pH and titratable acidity. Results showed that the developed multispectral imaging system based on the optimal wavelengths could be used for online quality assessment of pomegranate fruit.