CHEMICAL COMPOSITION AND FUNCTIONAL PROPERTIES OF CITRULLUS VULGARIS FERMENTED WITH MUTANT AND NON-MUTANT STRAINS OF BACILLUS SUBTILIS TO PRODUCE OGIRI

Authors

  • Catherine Babatuyi Federal University of Technology Akure
  • Victor Oyetayo
  • Felix Akinyosoye

DOI:

https://doi.org/10.33003/fjs-2022-0606-1102

Keywords:

Citrullus vulgaris seeds, Mutation, D-ribose, ogiri, Amino acids, Antioxidant, Functional

Abstract

Natural food seasoning agents are gradually gaining prominence over artificial seasoning agents due to purported side effects, hence, the search for natural food seasoning with functional and improved nutritional quality becomes imperative. This research is aimed at investigating the amino acids composition, fatty acid contents, antioxidant and functional properties of Citrullus vulgaris fermented with mutant and non-mutant strains of Bacillus subtilis to produce ogiri. Bacillus subtilis strains were isolated from spontaneously fermented melon seeds (C. vulgaris) and the B. subtilis isolates were exposed to two different mutagenic agents [Ultraviolet (UV) irradiations and Sodium Dodecyl Sulphate (SDS)] at varying intervals of time to obtain mutant strains. Eight (8) mutated strains of B. subtilis that produced high D-ribose metabolites were used for controlled starter-fermentation of C. vulgaris to produce ogiri. The non-mutant (NMS00) and the market ogiri (RTE00) were included as control samples. The properties mentioned above were determined on the ogiri samples. The most abundant and limiting essential amino acids varied among the ogiri samples. Mutated fermented ogiri samples have improved antioxidant properties. Ogiri sample produced with B. subtilis mutant strain exposed to SDS at 110 sec (MSD51) have the highest monounsaturated fatty acid (MUFA) (15.67±0.00 mg/100 g) and polyunsaturated fatty acids (PUFA) (50.29±0.00 mg/100 g). Free fatty acids and peroxide values are higher in control samples. Modified ogiri produced from the mutant strains of B. subtilis have good functional, amino acids, antioxidant properties and fatty acids. Therefore, may serve as functional condiments with improved nutritional quality.

References

Al-Raeei, M (2020). The forecasting of COVID-19 with mortality using SIRD epidemic model for the United States, Russia, China and the Syrian Arab Republic. AIP Advance, 10, 065325: https://doi.org/10.1063/5.0014275.

Calafiore, G. C., and Fracastoro, G. (2022). Age structure in SIRD models for the COVID-19 pandemic-A case study on Italy data and effects on mortality. PloS ONE, 17(2), e0264324. Doi:10.1371/journal.pone.0264324.

Ender, S., and David, M. (2003). An introduction to Numerical Analysis. Cambridge, University Press, ISBN 0-521-00794-1

Fernandez-Villaverde, J and Jones, C. I (2022). Estimating and Simulating a SIRD Model of COVID-19 for many Countries, States and Cities. Journal of Economic Dynamics and Control, 140, 104318. https://doi.org/10.1016/j.jedc.2022.104318

Ferrari, L., Gerardi, G., Manzi, G., Micheletti, A., Nicolussi, F., Biganzoli, E., and Salini S. (2021). Modeling Provincial Covid-19 Epidemic Data Using Adjusted Time-Dependent SIRD Model. Int. Environ.Res. Public Health, 8, 6563. https://doi.org/10.3390//ijerph.18126563.

Gopa, D. I., Murugesh, V., and Murugesan, K. (2006). Numerical solution of second-order robot arm control problem using Runge-Kutta butcher algorithm. International Journal of Computer Mathematics, 83(3), 345-356.

He, J. H. (2004). Comparison of homotopy perturbation method and homotopy analysis method. Applied Mathematics and Computation, 156, 527-539.

Islam, M. A. (2015). A comparative study on numerical solutions of initial value problems (IVP) for ordinary differential equations (ODE) with Euler and Runge Kutta Methods. Am J Computer Math 5, 393-404.

Kutta, W. (1901). Beitrag Zurn nÓ§herungsweisen Integration totaler Differential gleichungen. Z. Math. Phys., 46:435-453.

Martinez, V. A. (2021). Modified SIRD Model to Study the Evolution of the COVID-19 Pandemic in Spain. Symmery 2021, 13,723. https://dio.org/10.3390/sys13040723.

Mohamed, L. and Al-Raeei, M. (2021). Estimation of Epidemiological Indicators of COVID-19 in Algeria with SIRD Model. Eurasian Journal of Medicine and Oncology, 5(1), 54-58. DOI:10.14744/ejmo.2021.35428

Nigeria Centre for Disease (NCDC) (2022). “COVID-19 NIGERIAâ€. Retrieved from https://covid19.ncdc.gov.ng/.

Nigeria Centre for Disease Control (NCDC). (2020). First case of corona virus disease confirmed in Nigeria. Retrieved from https://ncdc.gov.ng/news/227/first-case-of-corona-virus-disease-confirmed-in-nigeria

Nigeria COVID-19 Tracker (2022). Retrieved from https://www.coronatracker.com/country/nigeria//.

Norah, I.A, Eman, Y. A. and Muazzam, A. S. (2020). An Agent-based Simulation of the SIRD model of COVID-19 Spread. International Journal of Biology and Biomedical Engineering, 14, 211-217. DOI:10.46300/91011.2020.14.28

Roslan, U. A. M., Salleh, Z., and KihÇman, A. (2013). Solving zhou chaotic system using fourth-order Runge-Kutta method. World Applied Sciences Journal, 21(6), 939-944. DOI:10.5829/idosi.wasj.2013.21.6.2915

Runge, C. (1895). On the numerical solution of differential equation. Math ann, 46:167-178.

Sooppy Nisar K., Aman, S., Shah, K., Alrabaiah, H., and Arfan, M. (2020). Mathematical analysis of SIRD model of COVID-19 with Caputo fractional derivative based on real data. Result in Physics, 103772. 2211-3797. https://doi.org/10.1016/j.rimp.2020.103772.

Towers, S. (2013). Introduction to compartmental modeling. Polymatheia. Retrieved from http://sherrytowers.com/2013/12/11/introduction-to-compartmental-modelling

Published

2023-01-01

How to Cite

Babatuyi, C., Oyetayo, V., & Akinyosoye, F. (2023). CHEMICAL COMPOSITION AND FUNCTIONAL PROPERTIES OF CITRULLUS VULGARIS FERMENTED WITH MUTANT AND NON-MUTANT STRAINS OF BACILLUS SUBTILIS TO PRODUCE OGIRI . FUDMA JOURNAL OF SCIENCES, 6(6), 31 - 43. https://doi.org/10.33003/fjs-2022-0606-1102