Estimation of LC50 and its Confidence Interval for the Effect of Ferrous Sulphate on Catla catla

Authors

  • Mohd Izuan Effendi Halmi Department of Land Management, Faculty of Agriculture, University Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
  • Mohd. Badrin Hanizam Abd Rahim Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, UPM 43400 Serdang, Selangor, Malaysia.
  • Ahmad Razi Othman Research Centre for Sustainable Process Technology (CESPRO), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia.

DOI:

https://doi.org/10.54987/jemat.v6i1.402

Keywords:

Probit,SPSS, maximum likelihood, ferrous sulphate, Catla catla

Abstract

Probit analysis is generally employed in the studies of toxicology, to determine the concentration of toxicant causing 50% mortality or LC50 value. The response of an organism is generally binomial and is typically sigmoidal in property. The Probit value can be calculated by hand or can be calculated through the use of a computer via software, the latter utilising the maximum likelihood method which is a more precise estimation of the parameters. When a published result failed to produce the 95% confidence interval, the results can be re-evaluated using software including SPSS. In this study, the LC50 value of the effect of ferrous sulphate to the fish Catla catla is re-evaluated using the Probit modelling exercise via the SPSS software, which gave an LC50 value of 8.271 p.p.m., with a 95% confidence interval from 7.353 to 9.189 p.p.m. The sub lethal concentration (SLC) for ferrous sulphate, which is one fourth of the LC50 value was 2.06 p.p.m

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Published

31.07.2018

How to Cite

Halmi, M. I. E., Rahim, M. B. H. A., & Othman, A. R. (2018). Estimation of LC50 and its Confidence Interval for the Effect of Ferrous Sulphate on Catla catla. Journal of Environmental Microbiology and Toxicology, 6(1), 21–23. https://doi.org/10.54987/jemat.v6i1.402

Issue

Vol. 6 No. 1 (2018)

Section

Articles

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