Data from: A study of bacteria adhesion and microbial corrosion on different stainless steels in environment containing Desulfovibrio vulgaris manuscript
Tran Thi Thuy, Tien (2020), Data from: A study of bacteria adhesion and microbial corrosion on different stainless steels in environment containing Desulfovibrio vulgaris manuscript, Dryad, Dataset, https://doi.org/10.5061/dryad.18931zcvg
Stainless steel is an important material used in many applications due to its mechanical strength and corrosion resistant properties. The high corrosion resistance of stainless steel is provided by the passive film. Different stainless steels have different alloy elements and surface properties which could have a significant influence on bacterial attachment to the surface and thus might result in different microbial corrosion behaviours. In this study, the effect of adhesion of sulphate reducing bacteria (SRB) and corrosion behaviour in artificial seawater on different stainless steels was investigated. Stainless steel materials used were SS 410, SS 420, SS 316 and DSS 2205 and pure chromium. The contact angle was measured to study the effect of surface properties of materials. Adhesion was measured by counting cells attached to the surface of materials. The corrosion behaviour of the materials was measured by electrochemical testing including measuring open circuit potential, electrochemical impedance spectroscopy and potentiodynamic behaviour. The long-term corrosion behaviour of each material was studied after six months exposure by measuring weight loss and surface analysis with SEM-EDX. The results show the high dependency on hydrophobicity of materials surfaces to bacterial attachment. However, bacterial attachment did not have a significant effect on the corrosion rate of the materials. Pure chromium had the best corrosion resistance to MIC with reduced bacterial attachment compared to the stainless steel samples. The nature of bacterial attachment and corrosion behaviour of the materials are discussed.
The data was raw data from experiment.
Electrochemical test data was process by using Zsimpwin and Echem Analysis.
Charles Darwin University, Award: Australian Research Training Program Scholarship