Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/7461
Title: Effect of genetic algorithm optimized solar tunnel dryer on the quality attributes of thin-layer dried fish
Authors: Kituu, Gareth
Kanali, Chris
Shitanda, Douglas
Njoroge, Charles
Mailutha, Joseph
Keywords: Optimization
geneticalgorithm
quality attributes
TBARS
TBV-N
color
solartunnel dryer
fish
Issue Date: 2016
Publisher: Taylor & Francis Group
Citation: Journal of Aquatic Food Product Technology, Vol. 25, No. 4, 555–567
Abstract: Studies were undertaken to establish the performance of a genetic algorithm-optimized solar tunnel dryer in drying of fish by comparing quality attributes of fish dried in the optimized solar tunnel dryer with that dried in a nonoptimized solar tunnel dryer and in open sun. A two-way analysis of variance revealed a highly significant difference between moisture ratios for the fish dried under the optimized solar tunnel dryer and the other methods (F = 53.59, Fcrit,1% = 4.09). In addition, thiobarbituric acid reactive substances showed that fish dried in the optimized dryer did not develop rancidity (2.30 µg MA/kg), that dried in nonoptimized dryer approached rancid values (5.3 µg MA/kg), while open sun dried fish was slightly rancid (7.95–8.45 µg MA/kg). Further, based on total volatile base nitrogen, fish under the three drying treatments did not develop significant putrefaction. Furthermore, it took 15, 22, and 28 h to dry fish to equilibrium moisture content of 0.12 kg/kg (dry basis), for the optimized and nonoptimized solar tunnel dryers and for the open sun drying, respectively. Thus, the optimized solar tunnel dryer is superior to both nonoptimized solar tunnel dryer and open sun drying in the drying of fish.
Description: DOI: http://dx.doi.org/10.1080/10498850.2014.894601
URI: https://www.tandfonline.com/doi/full/10.1080/10498850.2014.894601
http://repository.seku.ac.ke/handle/123456789/7461
ISSN: 1049-8850
1547-0636
Appears in Collections:School of Engineering and Technology (JA)



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