%0 Journal Article %@ 00035599 %A Fatah, M.C. %A Ismail, M.C. %A Wahjoedi, B.A. %D 2013 %F scholars:3595 %J Anti-Corrosion Methods and Materials %K Design/methodology/approach; Empirical equations; Linear polarization technique; Metabolic products; MINITAB; Non-linear regression method; Simulated solution; Sulphate-reducing bacteria, Carbon steel; Chemistry; Corrosion; Linear regression; Metabolism, Corrosion rate %N 4 %P 206-212 %R 10.1108/ACMM-Jun-2012-1183 %T Empirical equation of sulphate reducing bacteria (SRB) corrosion based on abiotic chemistry approach %U https://khub.utp.edu.my/scholars/3595/ %V 60 %X Purpose: The purpose of this paper is to develop an empirical equation of SRB corrosion based on their metabolic species. Design/methodology/approach: Solution containing SRB metabolic species was simulated using abiotic chemistry approach. Linear polarization technique was used to measure the corrosion rate of X52-sample in simulated solution containing SRB metabolic products species. The curve obtained from LPR data was then fitted using multiple non-linear regression method by Minitab 15® software. Findings: Statistical analysis shows that sulphide and sulphite have significant effect on the X52 corrosion rate. Originality/value: Using abiotic chemistry approach, an empirical equation that considers SRB metabolic species has been developed. The equation could be used to predict carbon steel corrosion rate by SRB. © Emerald Group Publishing Limited. %Z cited By 10