Electrochemical Impedance Pattern Recognition for Detection of Microbially Influenced Corrosion

用于检测微生物影响腐蚀的电化学阻抗模式识别

• 批准号: 9260330
• 负责人: Michael Schwartz
• 金额: $ 5万
• 依托单位: Eltron Research, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-01-01 至 1993-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9260330&HistoricalAwards=false
• 关键词: Electrochemical; Impedance; Pattern; Recognition; Detection

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.

该小型企业创新研究 (SBIR) 第一阶段项目属于分析和表面化学的一般领域以及电化学的子领域。 这项研究工作的目标是确定使用电化学阻抗模式识别来检测金属表面发生的微生物影响腐蚀 (MIC) 的可行性。 该方法旨在开发基于在可疑腐蚀部位使用快速傅里叶变换电化学阻抗谱（FFTEIS）仪器在线采集电化学阻抗谱的模式识别方案。 随后将使用主成分分析 (PCA) 技术处理电化学阻抗谱数据。 然后，将通过基于软件的模式识别技术对所得 PCA 转换数据进行分析，以对 MIC 腐蚀部位进行分类。 由于所提出方法的所有方面都可以通过便携式计算机驱动的硬件和软件来处理，因此计划的多阶段 SBIR 活动的最终目标是开发用于在线测定 MIC 的便携式诊断仪器。 %%% 该第一阶段项目汇集了电化学阻抗谱的不同技术，包括快速傅里叶变换实施、主成分分析和模式识别，目的是识别微生物引起的腐蚀与非生物腐蚀。 第一阶段提出的概念验证计划应该确定这种方法诊断具有巨大经济重要性的问题的可行性。