Assessment of carbon steel microbiologically induced corrosion by electrical impedance spectroscopy

A methodology to analyse electrochemical impedance spectroscopy (EIS) data for the study of microbiologically induced corrosion is proposed. The proposed methodology is based on the loss tangent behaviour of EIS spectra for sterile and bacteria-inoculated environments. Loss tangent parameters were obtained by fitting the EIS data to the Cole–Cole dispersion model using a genetic algorithm. Two electrochemical cells were implemented to expose carbon steel probes to sterile and inoculated media for two bacteria consortia, acid-producing bacteria (APB) and sulphate-reducing bacteria (SRB). The APB tests were exposed for 96 h and the SRB tests for 144 h. A microbial count was carried out during each experiment. The EIS spectra were measured during exposure for sterile and inoculated media. The spectra were fitted to a multi Cole–Cole dispersion model, and loss tangent parameters were obtained.

[1]  D. Miranda,et al.  Determination of Cole–Cole parameters using only the real part of electrical impedivity measurements , 2008, Physiological measurement.

[2]  S. Havriliak,et al.  A complex plane representation of dielectric and mechanical relaxation processes in some polymers , 1967 .

[3]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[4]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[5]  R. Savinell,et al.  Computational analysis methods to quantify a.c. impedance data , 1986 .

[6]  R. Cole,et al.  Dielectric Relaxation in Glycerol, Propylene Glycol, and n‐Propanol , 1951 .

[7]  C. Andrade,et al.  Cement paste hardening process studied by impedance spectroscopy , 1999 .

[8]  J. L. Polo,et al.  An impedance study on admiralty brass dezincification originated by microbiologically influenced corrosion , 2004, Biotechnology and bioengineering.

[9]  J. Dellis,et al.  Nelder and Mead algorithm in impedance spectra fitting , 1993 .

[10]  N. Palaniswamy,et al.  Biodegradation and corrosion behavior of manganese oxidizer Bacillus cereus ACE4 in diesel transporting pipeline , 2007 .

[11]  J. L. Polo,et al.  A study on the stability of AISI 316L stainless steel pitting corrosion through its transfer function , 2001 .

[12]  D. Moreno,et al.  MIC of stainless steels: A technical review on the influence of microstructure , 1992 .

[13]  Mehdi Nemati,et al.  Bacteria of the sulphur cycle: An overview of microbiology, biokinetics and their role in petroleum and mining industries , 2009 .

[14]  K. Cole,et al.  Dispersion and Absorption in Dielectrics I. Alternating Current Characteristics , 1941 .

[15]  J. Bastidas,et al.  Analysis of a premature failure of welded AISI 316L stainless steel pipes originated by Microbial induced corrosion , 1997 .

[16]  M. Fulger,et al.  Analyses of oxide films grown on AISI 304L stainless steel and Incoloy 800HT exposed to supercritical water environment , 2011 .

[17]  J. S. Santana Rodríguez,et al.  Study of the electrochemical behaviour of 304 stainless steel in postgate medium in the presence and absence of desulfovibrio desulfuricans , 2006 .

[18]  Bernard A. Boukamp,et al.  Electrochemical impedance spectroscopy in solid state ionics: recent advances , 2004 .

[19]  H. Girault Analytical and Physical Electrochemistry , 2004 .

[20]  K. Cole,et al.  Dispersion and Absorption in Dielectrics II. Direct Current Characteristics , 1942 .

[21]  W. Sand,et al.  Microbially Influenced Corrosion , 2011 .

[22]  J. Bastidas,et al.  The protective action of two vapour phase inhibitors on the corrosion of mild steel , 1990 .

[23]  K. Sohn,et al.  Genetic algorithm-assisted combinatorial search for new red phosphors of high efficiency at soft ultraviolet excitation , 2004 .

[24]  E. Barsoukov,et al.  Impedance spectroscopy : theory, experiment, and applications , 2005 .

[25]  Isaac Abrahams,et al.  The use of genetic algorithms in the non-linear regression of immittance data , 1998 .

[26]  M. J. H. Gayosso,et al.  Microbial consortium influence upon steel corrosion rate, using polarisation resistance and electrochemical noise techniques , 2004 .

[27]  Xuhong Zhang,et al.  A hybrid genetic algorithm for the fitting of models to electrochemical impedance data , 2002 .

[28]  C. García-Aljaro,et al.  Impedimetric approach for monitoring the formation of biofilms on metallic surfaces and the subsequent application to the detection of bacteriophages , 2008 .