Electrochemical Impedance Pattern Recognition for Detection of Microbially Influenced Corrosion

小企业创新研究（SBIR）第一阶段项目 在分析和表面化学的一般领域和在 电化学的一个分支。 这项研究工作的目标是 建立使用电化学阻抗的可行性 用于检测微生物影响的 腐蚀（MIC）发生在金属表面。 该方法是 针对基于模式识别方案的开发 在线获取电化学阻抗谱后， 使用快速傅立叶变换电化学阻抗 光谱（FFTEIS）仪器在可疑腐蚀 绝佳的价钱 这将是随后的处理电化学 阻抗谱数据的主成分分析 (PCA)法 然后，所得到的PCA变换数据将是 通过基于模式识别的软件进行分析 技术来分类MIC腐蚀部位。 因为所有 所提出的方法的各个方面可以由便携式 计算机驱动的硬件和软件， 计划中的多阶段SBIR活动是开发便携式 用于在线测定MIC的诊断仪器。 %%% 这个第一阶段的项目汇集了不同的技术， 电化学交流阻抗快速傅立叶 转换实现、主成分分析和 模式识别用于识别微生物 诱导腐蚀与非生物腐蚀形成对比。 证明 第一阶段的概念计划应确定 这种方法的可行性，以诊断问题的巨大 经济重要性。

This Small Business Innovation Research (SBIR) Phase I project is in the general area of analytical and surface chemistry and in the subfield of electrochemistry. The goal of this research effort is to establish the feasibility of using electrochemical impedance pattern recognition for the detection of microbially influenced corrosion (MIC) occurring at metal surfaces. The approach is directed towards development of pattern recognition schemes based upon the on-line acquisition of electrochemical impedance spectra using fast Fourier transform electrochemical impedance spectroscopy (FFTEIS) instrumentation at the suspect corrosion site. This will be followed by treatment of the electrochemical impedance spectral data using the principal components analysis (PCA) technique. The resulting PCA transformed data will then be subjected to analysis by software based pattern recognition techniques to classify the MIC corrosion site. Because all aspects of the proposed approach can be handled by portable computer driven hardware and software, the ultimate goal of the planned multi-Phase SBIR activity is the development of portable diagnostic instrumentation for the on-line determination of MIC. %%% This Phase I project brings together disparate technologies of electrochemical impedance spectroscopy in the fast Fourier transform implementation, principal components analysis, and pattern recognition for the purpose of identifying microbially induced corrosion in contrast with abiotic corrosion. The proof of concept plan set forth for Phase I should determine the feasibility of this approach to diagnosing problems of enormous economic importance.