Institute of Environmental Health, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA.
William R. Wiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, P.O. Box 999, Richland, WA 99352, USA.
Environ Sci Process Impacts. 2017 Mar 22;19(3):339-349. doi: 10.1039/c6em00694a.
Phenols and anilines have been studied extensively as reductants of environmental oxidants (such as manganese dioxide) and as reductates (e.g., model contaminants) that are transformed by environmental oxidants (ozone, triple organic matter, etc.). The thermodynamics and kinetics of these reactions have been interpreted using oxidation potentials for substituted phenols and anilines, often using a legacy experimental dataset that is of uncertain quality. Although there are many alternative oxidation potential data, there has been little systematic analysis of the relevance, reliability, and consistency of the data obtained by different methods. We have done this through an extensive correlation analysis of kinetic data for phenol or aniline oxidation by manganese oxide-compiled from multiple sources-and oxidation potentials obtained from (i) electrochemical measurements using cyclic and square wave voltammetry and (ii) theoretical calculations using density functional theory. Measured peak potentials (E) from different sources and experimental conditions correlate very strongly, with minimal root mean squared error (RMSE), slopes ≈ 1, and intercepts indicative of consistent absolute differences of 50-150 mV; whereas, one-electron oxidation potentials (E) from different sources and theoretical conditions exhibit large RMSE, slopes, and intercepts vs. measured oxidation potentials. Calibration of calculated E data vs. measured E data gave corrected values of E with improved accuracy. For oxidation by manganese dioxide, normalization of rate constants (to the 4-chloro congener) allowed correlation of phenol and aniline data from multiple sources to give one, unified quantitative structure-activity relationship (QSAR). Comparison among these QSARs illustrates the principle of matching the observational vs. mechanistic character of the response and descriptor variables.
酚类和苯胺类已被广泛研究作为环境氧化剂(如二氧化锰)的还原剂,以及作为被环境氧化剂(臭氧、三重有机物等)转化的还原剂(例如,模型污染物)。这些反应的热力学和动力学已通过取代酚类和苯胺类的氧化电位来解释,通常使用不确定质量的传统实验数据集。尽管有许多替代的氧化电位数据,但对于不同方法获得的数据的相关性、可靠性和一致性的系统分析却很少。我们通过对锰氧化物氧化苯酚或苯胺的动力学数据(从多个来源汇编)与通过(i)使用循环伏安法和方波伏安法的电化学测量和(ii)使用密度泛函理论的理论计算获得的氧化电位进行广泛的相关分析来实现这一目标。来自不同来源和实验条件的测量峰电位(E)相关性非常强,均方根误差(RMSE)最小,斜率≈1,截距表明绝对差异一致为 50-150 mV;而来自不同来源和理论条件的单电子氧化电位(E)的 RMSE、斜率和截距与测量的氧化电位有很大差异。对计算的 E 数据与测量的 E 数据进行校准,得到了校正后的 E 值,精度有所提高。对于二氧化锰的氧化,速率常数(归一化为 4-氯同系物)的归一化允许来自多个来源的苯酚和苯胺数据的关联,从而得到一个统一的定量结构-活性关系(QSAR)。对这些 QSAR 的比较说明了匹配观测到的和机制特征的响应和描述符变量的原理。