Accelerated shelf life prediction models with correlated errors for bio-chemical and sensory responses of chill stored fish
Accelerated shelf life prediction models with correlated errors for bio-chemical and sensory responses of chill stored fish
Date
2018
Authors
Joshy, C.G.
Balakrishna, N.
Ninan, G.
Ravishankar, C.N.
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Abstract
The present study considered zero and first order reaction models with equi- and auto- correlated error structures for predicting the accelerated
shelf life of chill stored fish. The parameters estimated using these models were used to compute Q- the accelerated shelf life prediction quotient.
The models with auto- correlated errors were fitted to two real time data obtained from the storage study of Milk fish (chanos chanos) and Tilapia
(Oreochromis mossambicus) at 0 -2 0C & 10-12 0C and found to be more efficient in predicting the quality attributes viz: TBA, TVBN, DS, TPC and
EBC. The temperature behavior on the quality responses for two species of fish was examined as a case study by combining the effect of storage time
and temperature using parametric zero and first order reactions models.
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Citation
J. Indian Soc. Agricult. Stat. 72(2):129-140