@article{scholars3595,
            year = {2013},
           pages = {206--212},
         journal = {Anti-Corrosion Methods and Materials},
             doi = {10.1108/ACMM-Jun-2012-1183},
            note = {cited By 10},
          volume = {60},
          number = {4},
           title = {Empirical equation of sulphate reducing bacteria (SRB) corrosion based on abiotic chemistry approach},
        abstract = {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{\^A}(R) 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. {\^A}{\copyright} Emerald Group Publishing Limited.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879134950&doi=10.1108\%2fACMM-Jun-2012-1183&partnerID=40&md5=a68b299cac366c37064b098edd099014},
        keywords = {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},
          author = {Fatah, M. C. and Ismail, M. C. and Wahjoedi, B. A.},
            issn = {00035599}
}