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International Journal of Analytical Chemistry
Volume 2017, Article ID 2863454, 8 pages
https://doi.org/10.1155/2017/2863454
Research Article

Robustness of Tomato Quality Evaluation Using a Portable Vis-SWNIRS for Dry Matter and Colour

Central Queensland University, Building 361, Rockhampton, QLD 4701, Australia

Correspondence should be addressed to U. K. Acharya; moc.liamg@hcahsemu

Received 15 July 2017; Revised 19 October 2017; Accepted 7 November 2017; Published 3 December 2017

Academic Editor: Günther K. Bonn

Copyright © 2017 U. K. Acharya et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The utility of a handheld visible-short wave near infrared spectrophotometer utilising an interactance optical geometry was assessed in context of the noninvasive determination of intact tomato dry matter content, as an index of final ripe soluble solids content, and colouration, as an index of maturation to guide a decision to harvest. Partial least squares regression model robustness was demonstrated through the use of populations of different harvest dates or growing conditions for calibration and prediction. Dry matter predictions of independent populations of fruit achieved ranging from 0.86 to 0.92 and bias from −0.14 to 0.03%. For a CIE colour model, prediction ranged from 0.85 to 0.96 and bias from −1.18 to −0.08. Updating the calibration model with new samples to extend range in the attribute of interest and in sample matrix is key to better prediction performance. The handheld spectrometry system is recommended for practical implementation in tomato cultivation.