ScienceDirect® Home Skip Main Navigation Links
You have guest access to ScienceDirect. Find out more.
 
Home
Browse
My Settings
Alerts
Help
 Quick Search
 Search tips (Opens new window)
    Clear all fields    
Journal of Food Engineering
Volume 77, Issue 4, December 2006, Pages 871-879
 
Font Size: Decrease Font Size  Increase Font Size
 Abstract - selected
Article
Purchase PDF (201 K)

Article Toolbox
 
 
 
Related Articles in ScienceDirect
View More Related Articles
 
View Record in Scopus
 
doi:10.1016/j.jfoodeng.2005.08.015    
How to Cite or Link Using DOI (Opens New Window)

Copyright © 2005 Elsevier Ltd All rights reserved.

Effects of storage temperature and stage of ripening on RGB colour aspects of fresh-cut tomato pericarp using video image analysis

Purchase the full-text article



References and further reading may be available for this article. To view references and further reading you must purchase this article.

M.M. Lanaa, b, Corresponding Author Contact Information, E-mail The Corresponding Author, L.M.M. Tijskensa, c and O. van Kootena

aHorticultural Production Chains Group, Wageningen University, Marijkeweg 22, 6709 PG, Wageningen, Netherlands

bEmbrapa Hortaliças, Caixa Postal 218, 70359970 Brasília-DF, Brazil

cAgrotechnology and Food Innovations, P.O. Box 17, 6700 AA, Wageningen, Netherlands


Received 4 February 2005; 
accepted 2 August 2005. 
Available online 19 September 2005.

Abstract

Tomato fruit (Lycopersicon esculentum cv. Belissimo) were harvested at three different stages of ripening, sliced and stored at five different temperatures. Red–green–blue (RGB) images of the slices were taken regularly during storage, using a image processing system. For constructing a model, each of these colour aspects was considered to be built up by a variable part that changes according to a first order reaction mechanism and a fixed part that is invariable under the circumstances under study. All three colour aspects of the tomato slices (R, G and B) decreased exponentially during storage. The parameters of the model were estimated using multiple-response multiple-variate non-linear regression analysis using R, G and B simultaneously as response variables and time, temperature and ripening stage of the fruit at harvest simultaneously as explaining variables. To combine the information on the behaviour of the colour aspects during the preharvest and the postharvest period at different temperatures, it was assumed that the process of change during ripening was the same whether the fruit ripened on the plant or off-vine. So, the initial value for all three colour aspects (Col0,R, Col0,G and Col0,B) during the postharvest experiments depended on the time the tomatoes were allowed to ripen on the plant. By using this fundamental approach to build the model and using all available data and information it became possible to describe and simulate the behaviour of the colour aspects of tomato slices as a function of the ripening stage and the applied storage temperature.

Although the variance between replicates was high, the statistical analysis on the mean values of colour aspects over the replicates provided a percentage variance accounted for of 95%. The same model was validated with data of another experiment with another tomato cultivar (Durinta) over a larger range of maturity stages.

Keywords: Lycopersicon esculentum; Minimally processed; Image processing systems; Modelling

Nomenclature

Ea
activation energy (kJ/mol)
Col
colour aspect (R, G, B)
k
rate constant of change of colour aspect (day−1)
R
universal gas constant (8.314 J/mol/K)
t
time (day)
T
Temperature (K, °C)

Subscripts

0
initial
I
of stage I
II
of stage II
III
of stage III
IV
of stage IV
V
of stage V
s
during storage
fix
invariable part
g
during growth
ref
at reference temperature (=10 °C)

Article Outline

Nomenclature
1. Introduction
2. Materials and methods
2.1. Harvesting and processing
2.1.1. Experiment 1
2.1.2. Experiment 2
2.2. Image evaluation
2.3. Model development
2.4. Data analysis
2.5. Validation
3. Results and discussion
3.1. Raw data
3.2. Analysis
3.3. Harvest maturity expressed as time (tg)
3.4. Validation
3.5. Changes in other colour aspects
4. Conclusions
Acknowledgements
References




Corresponding Author Contact InformationCorresponding author. Present address: Embrapa Hortaliças, Caixa Postal 218, 70359970 Brasília-DF, Brazil. Tel.: +31 317 483 030; fax: +31 317 484709.

Journal of Food Engineering
Volume 77, Issue 4, December 2006, Pages 871-879
 
Home
Browse
My Settings
Alerts
Help
Elsevier.com (Opens new window)
About ScienceDirect  |  Contact Us  |  Information for Advertisers  |  Terms & Conditions  |  Privacy Policy
Copyright © 2008 Elsevier B.V. All rights reserved. ScienceDirect® is a registered trademark of Elsevier B.V.