Albert Science International Organization

Odangowei I. Ogidi, Eruom E. Charles, Chioma C. Okore, Beatrice Wilfred, Lilian M.O.Oguoma, Henshaw E. Carbom, Mathematical modeling of the growth of specific spoilage micro-organisms in tilapia (oreochromis niloticus) fish, ASIO Journal of Microbiology, Food Science & Biotechnological Innovations (ASIO-JMFSBI), 2021, 6(1): 09-15.

Doi: 10.2016-53692176

Authors: Odangowei I. Ogidi†1, Eruom E. Charles2, Chioma C. Okore3, Beatrice Wilfred2, Lilian M.O.Oguoma4, Henshaw E. Carbom2

1Department of Biochemistry, Federal Polytechnic, Ekowe, Bayelsa State

2Department of Microbiology, Federal polytechnic, Ekowe, Bayelsa State

3Department of Environmental Biology, Federal Polytechnic Nekede Owerri, Imo-State

4Department of Biotechnology, Federal University of Technology, Owerri, Imo State

Abstract

This study examined the growth rate of specific spoilage organisms (SSOs) of tilapia (Oreochromis niloticus) fish and the effect of varying temperature (0, -2 and -4°C) and storage time (24, 48, 72 hours). The growth of SSOs was also modeled using Gompertz function and Linear Regression Models. The results of this study demonstrated that Pseudomonas species, Staphylococcus species, E. coli, Shigella species, Salmonella species, Klebsiella species, Penicillium species, Yeast, Fusarium species, Phytophthora species and Aspergillus species were observed to be SSOs of Oreochromis niloticus fish. They reduce the lifespan of O.  niloticus fish at 0, -2 and -4°C temperatures in 24, 48 and 72 hours storage times. On the number of isolated colonies of the microbial growth in tilapia fish -4°C temperature isolates such as Salmonella (2.2×108CFU/cm2), Pseudomonas (2.15×108CFU/cm2) and Staphylococcus (1.8×108CFU/cm2) were observed to be the highest.  The experimental data was modeled using the Gompertz modified equation for both bacteria and fungi counts with different temperatures of the isolates in cfu/ml of the samples. The derived parameters of the Gompertz model such as specific growth rate (µ) was observed to increase at temperatures of -4° C with decreasing maximum population density (MPD) and Lag phase duration (LPD) time of the specific spoilage organisms. The test organism’s results in tilapia fish at 0, -2 and -4°C temperatures were modeled by the linear regression model (R2 values were 0.8, 1.0 and 0.5 respectively), showing a strong positive linear relationship. Temperature and time has been established as the two very significant factors that affect the growth of specific spoilage organisms in foods. Hence, modeling the growth of SSO, considering temperature and time enables scientist to predict the possible growth of SSO accurately during processing and storage of tilapia fish.

Keywords: Oreochromis niloticus fish, Mathematical Models, Specific spoilage organisms, Temperature, Storage time. 

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