International Journal of Food Properties, ( ISI ), Volume (20), No (1), Year (2016-1) , Pages (107-118)

Title : ( Development of a Multispectral Imaging System for Online Quality Assessment of Pomegranate Fruit )

Authors: Rasool Khodabakhshian Kargar , Bagher Emadi , Mehdi Khojastehpour , Mahmood Reza Golzarian , A. Sazgarnia ,

Citation: BibTeX | EndNote

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.

Keywords

, Multispectral imaging, Pomegranate, Quality, Optimal wavelengths, PLS,
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@article{paperid:1058261,
author = {Khodabakhshian Kargar, Rasool and Emadi, Bagher and Khojastehpour, Mehdi and Golzarian, Mahmood Reza and A. Sazgarnia},
title = {Development of a Multispectral Imaging System for Online Quality Assessment of Pomegranate Fruit},
journal = {International Journal of Food Properties},
year = {2016},
volume = {20},
number = {1},
month = {January},
issn = {1094-2912},
pages = {107--118},
numpages = {11},
keywords = {Multispectral imaging; Pomegranate; Quality; Optimal wavelengths; PLS; MLR;},
}

[Download]

%0 Journal Article
%T Development of a Multispectral Imaging System for Online Quality Assessment of Pomegranate Fruit
%A Khodabakhshian Kargar, Rasool
%A Emadi, Bagher
%A Khojastehpour, Mehdi
%A Golzarian, Mahmood Reza
%A A. Sazgarnia
%J International Journal of Food Properties
%@ 1094-2912
%D 2016

[Download]