Development of Demerit Score-Based Fish Quality Index (FQI) for Fresh Fish and Shelf Life Prediction Using Statistical Models
Development of Demerit Score-Based Fish Quality Index (FQI) for Fresh Fish and Shelf Life Prediction Using Statistical Models
Date
2019
Authors
Joshy, C. G.
Ninan, George
Panda, S. K.
Zynudheen, A. A.
Kumar, K. Ashok
Ravishankar, C. N.
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor & Francis
Abstract
A demerit score-based fish quality index (FQI) has been developed to assess
the quality/freshness of fresh fish by considering five general characteristics
in the demerit score like appearance of fish outer surface, fish eye, gills,
belly and vent. These characteristics were normalized in the range 0 to 1,
where 0 represents excellent/best quality of the characteristic and 1 represents
bad/worst quality of the characteristic since the quality assessment is
based on the demerit score. The value 0 of FQI represents fish with
excellent/best quality, and 1 represents fish with bad/worst quality.
A theoretical model with auto-correlated errors was also developed to
estimate the shelf life for a predicted value of FQI score. The developed
FQI was validated with real time data on milk fish (Chanos chanos) stored in
chilled condition. It was found that appearance of outer surface and fish
gills were the important quality attributes affecting the quality/freshness of
milk fish.
Description
Keywords
Demerit score, fish quality index, shelf life, autocorrelation, milk fish
Citation
https://doi.org/10.1080/10498850.2019.1693463