A knowledge-based system for the automatic chronopotentiometric elucidation of electrode reaction mechanisms

A knowledge-based system for the elucidation of electrode reaction mechanisms based on chronopotentiometric experiments is described. The system runs the diagnostic experiments and uses the results in the reasoning process. New mechanistic knowledge can be added directly to its knowledge base in the form of production rules. The system is fully modular and its domain- specific modules can easily be changed for application to other electrochemical techniques. Correct operation of the system is demonstrated with the familiar reduction mechanisms of cadmium (II), zinc (II), cystamine and cinnamaldehyde.     

Advantage of Fractional Calculus Based Hybrid‐Theoretical‐Computational‐Experimental Approach for Alternating Current Voltammetry

The dynamic electrochemical behavior of electroactive species is believed to be represented better by the fractional calculus, because it can consider the history of mass‐transfers of that species near the electrode surface. The elucidation of mathematical fundamentals of fractional calculus has been recently introduced for batteries, supercapacitors and a few voltammetry studies. The working equations for faradaic fundamental and second‐harmonic (SHac) components of alternating current (ac) for ac voltammetry of an electrochemically reversible redox reaction on an electrode of macroscopic diameter have been derived here by using generalized formulae of the fractional calculus. A computation code is written in Python language with a matrix based algorithm developed based on latest, accurate, efficient and stable Grunwald‐Letnikov‐Improved fractional‐order differentiation equation. That computational code is used to find the concealed faradaic fundamental, SHac components of the total current and other double‐layer parameters of experimentally recorded voltammograms of ruthenium(III/II) redox reaction on gold‐disc electrode by a common electrochemical workstation without having inbuilt Fourier transformation features. The amplitude of the computed faradaic current concealed in the experimental data gets enhanced through this hybrid theoretical‐computational‐experimental approach and thus it keeps scope of application and further improvement in electroanalysis.     

Electrochemical surface-enhanced Raman spectroscopy of nanostructures

This tutorial review first describes the early history of SERS as the first SERS spectra were obtained from an electrochemical cell, which led to the discovery of the SERS effect in mid-1970s. Up to date, over 500 papers have been published on various aspects of SERS from electrochemical systems. We then highlight important features of electrochemical SERS (EC-SERS). There are two distinctively different properties of electric fields, the electromagnetic field and static electrochemical field, co-existing in electrochemical systems with various nanostructures. Both chemical and physical enhancements can be influenced to some extent by applying an electrode potential, which makes EC-SERS one of the most complicated systems in SERS. Great efforts have been made to comprehensively understand SERS and analyze EC-SERS spectra on the basis of the chemical and physical enhancement mechanisms in order to provide meaningful information for revealing the mechanisms of electrochemical adsorption and reaction. The EC-SERS experiments and applications are then discussed from preparation of nanostructured electrodes to investigation of SERS mechanisms and from characterization of adsorption configuration to elucidation of electrochemical reaction mechanisms. Finally, prospective developments of EC-SERS in substrates, methods and theory are discussed.     

透射Vop光谱椭圆法对电极附近液层中传质现象的研究

通常的电化学研究中,有关电极附近液层参与反应粒子的传质过程多局限于理论分析,其实验研究,即使应用Fick定律分析液相的扩散传质现象,也多限于简单的均态体系.对于复杂多相体系的液相传质问题,更近乎束手无策.鉴于液相传质研究在理论上和实际应用中的重要性,作者等近年采用透射Vop光谱椭圆法对电化学体系中的传质过程进行了实验探索,本文扼要介绍该法的研究概况.     

计算机自动结构解析专家系统ESESOC.I.

本文系统介绍了结构解析专家系统ESESOC.I.的研制过程。该系统能够综合利用IR,~1H-NMR,~(13)C-NMR对含有C,H,O的有机化合物结构进行自动解析。     

Determination of some methylcarbamate insecticides by a.c. polarography and cyclic voltammetry

The study of adsorption-desorption phenomena represents an important extension to the range of organic compounds that can be determined by electrochemical methods. The present work has utilized this approach for the determination of a range of methylcarbamate insecticides. The tensammetric behaviour of this class of compound at the mercury electrode has been investigated by a.c. polarography and the optimum experimental conditions for their analytical determination have been derived. Cyclic voltammetry has also been used to study the electrode process and by using the peak obtained on the cathodic sweep it was possible to extend the limit of detection to the ppm level.     

Electrochemical advanced oxidation processes for wastewater treatment: Advances in formation and detection of reactive species and mechanisms

Over the past three decades, the knowledge of the mechanisms of electrochemical advanced oxidation processes (EAOPs) has progressively evolved with the advances in analytical and spectrometric techniques. A comprehensive understanding of the types and mechanisms of production of reactive species in EAOPs is a prerequisite to the understanding of their reactivities and elucidation of intermediate products generated during the oxidation process and degradation pathways. The type, nature, and quantity of reactive species generated in electrochemical treatment processes are controlled by many factors, including the type of the treatment technique, electrode/electrocatalyst materials, water/wastewater composition, water pH conditions, and operating parameters. Depending on the technique and operating parameters, single or multiple oxidants can be produced alone or combined electrochemical processes. However, the potency and reactivity of each oxidant are quite similar regardless of the technique, except in the case of heterogeneous and homogeneous hydroxyl radicals. This minireview presents the current state of mechanisms and models of reactive species generated in different EAOPs, highlighting different methods for their identification and reactivity.     

Automated structure elucidation — the benefits of a symbiotic relationship between the spectroscopist and the expert system

Characteristic features of a new expert system StrucEluc are described. The system is intended for the structure elucidation of complex organic molecules using a variety of spectroscopic data including 2D NMR. We review here the results of challenging this system with over 100 structure elucidation problems where the 2D NMR peak tables presented in original journal publications provided the input data. This contribution is focused on methods to overcome difficult situations that can arise when contradictions are present in the input data and/or when the structure is underdetermined as a result of insufficient 2D NMR correlations. Methods by which to address these situations are examined. It has been shown that synergy between the spectroscopist and the expert system allows the solution of problems that seemed to be hopeless at the outset of the structure elucidation process.     

The MELANIE project: from a biopsy to automatic protein map interpretation by computer.

The goals of the MELANIE project are to determine if disease-associated patterns can be detected in high resolution two-dimensional polyacrylamide gel electrophoresis (HR 2D-PAGE) images and if a diagnosis can be established automatically by computer. The ELSIE/MELANIE system is a set of computer programs which automatically detect, quantify, and compare protein spots shown on HR 2D-PAGE images. Classification programs help the physician to find disease-associated patterns from a given set of two-dimensional gel electrophoresis images and to form diagnostic rules. Prototype expert systems that use these rules to establish a diagnosis from new HR 2D-PAGE images have been developed. They successfully diagnosed cirrhosis of the liver and were able to distinguish a variety of cancer types from biopsies known to be cancerous.     

抗人乳腺癌糖蛋白单克隆抗体及相应抗原免疫反应的电化学阻抗 免疫分析研究

报道了一种用于抗人乳腺癌糖蛋白单克隆抗体(GP1D8)及相应抗原免疫反应的电化学阻抗免疫分析法。本方法采用将抗体直接定向组装到石英晶片/金电极上,实验中设计的阻抗传感测量只响应免疫信号。结果显示,当组装单克隆抗体的金电极被插入特殊抗原的溶液中时,电化学阻抗谱(EIS)发生明显的变化,成功地检测了组装抗体和相应抗原的免疫反应。     

Raman-STM联用系统及其初步实验

研究固／液界面体系的传统方法主要以电信号为激励和检测手段，已不能适应日益扩大的研究对象和深入至微观研究的要求，许多采用电子束或离子束作为人射源的表面技术由于x作在高真空条件下也难以原位（insitu）研究固／液体表由于光束容易穿过团／液体系的溶液层或具有光学透明的固体电极材料，八十年代以来以光（尤其是激光）作为激励和检测手段的研究方法日益受到重视[1]，目前已开展的工作包括光电流（电压、电容）谱、光发射电流话、光声（热）谱、反（透）射谱、全息谱、瑞利散射、（超）拉曼散射、二次谐波（SHG）以及和频（SFG）…     

Structure Elucidator: a versatile expert system for molecular structure elucidation from 1D and 2D NMR data and molecular fragments

StrucEluc is an expert system that allows the computer-assisted elucidation of chemical structures based on the inputs of a series of spectral data including 1D and 2D NMR and mass spectra. The system has been enabled to allow a chemist to utilize fragments stored in a fragment database as well as user-defined fragments submitted by the chemist in the structure elucidation process. The association of fragments in this way has been shown to dramatically speed up the process of structure generation from 2D NMR data and has helped to minimize or eliminate the need for user intervention thereby further enabling the vision of automated elucidation. The use of fragments has frequently transformed very difficult 2D NMR elucidation challenges into easily solvable tasks. A strategy to utilize molecular fragments has been developed and optimized based on specific challenging examples. This strategy will be described here using real world examples. Experience gained by solving more than 150 structure elucidation problems from a variety of literature sources is also reviewed in this work.     

On‐Line Electrochemistry/Electrospray Ionization Mass Spectrometry (EC/ESI‐MS) for the Generation and Identification of Nucleotide Oxidation Products

The oxidation behavior of DNA and RNA nucleotides is studied by an on‐line set‐up consisting of an electrochemical thin‐layer cell (EC) directly coupled to electrospray ionization mass spectrometry (ESI‐MS). This set‐up allows the generation of nucleotide oxidation products in the electrochemical cell at increasing potentials. Moreover, the products are determined directly, without isolation or derivatization steps, by electrospray ionization time of flight mass spectrometry (ESI‐ToF/MS). The dependence of the mass spectra on the applied potential is displayed as ‘mass voltammograms’. An advanced set‐up, consisting of the electrochemical cell coupled to electrospray ionization tandem mass spectrometry (EC/ESI‐MS/MS) allows further structure elucidation based on fragmentation experiments. The electrochemical conversion is performed using a boron doped diamond (BDD) working electrode, which is known to generate hydroxyl radicals at high potentials. The capability of the EC‐MS system to generate highly relevant oxidation products which also occur upon oxidative damage in vivo is demonstrated in this study by the formation of well known biomarkers for DNA damage, including 2′‐deoxy‐8‐oxo‐guanosine 5′‐monophosphate.     

Cyclic voltammetry at microstructured electrodes

We present the theoretical treatment of cyclic voltammograms at microstructured electrodes. Calculations of voltammograms permit the determination of electrochemical parameters of redox systems in a single cell in parallel with the determinations of the spectroscopic parameters. The structural parameters of the electrode can be determined using the theoretical treatment presented if the electrochemical parameters of the redox system are known. Furthermore, lithographic-galvanic (LIGA) structures can be used as a model for microporous electrodes. Regression analysis was used to compare experimental and calculated cyclic voltammograms as well as to determine the electrochemical and spectroscopic parameters. A modified Randles-Sevčik equation has been derived to described the peak current dependence of cyclic voltammograms at micro-structured electrodes for both reversible and quasi-reversible charge transfer.     

Application of artificial intelligence for chemical inference. XXV. A computer program for automated empirical 13C NMR rule formation

A computer program which generates empirical rules associating ¹³C NMR shifts with local structural environments is described. The program uses a heuristic method to search for common structural features for those carbon atoms exhibiting similar shifts. Rules have been generated by our program from a combined set of acyclic amine and paraffin data. Examples of these rules are presented, and their performance as a tool for structure elucidation is examined.     

Electrochemical investigations of amino acids at solid electrodes: Part II. Amino acids containing no sulfur atoms: Tryptophan,tyrosine, histidine and derivatives

The electrochemical properties of amino acids containing no sulfur atoms have been investigated using stationary or rotating solid electrodes such as Au and vitreous carbon. Among the 20 amino acids present in the proteins only tryptophan and tyrosine are specifically oxidizable at a gold, platinum or carbon electrode. Histidine is oxidizable only at a carbon electrode. In the case of tryptophan and tyrosine the oxidation phenomena are very similar whatever the nature of the electrode. Oxidation can be performed on a smooth surface electrode, and at the level of metal oxide formation it leads to a mixture of monomeric species (oxindolalanyl with tryptophan and hexacyclodienone alanyl with tyrosine) and polymeric species (filming effect: polytryptophan with tryptophan, polyphenylene oxide alanyl with tyrosine). According to experimental features (pH, concentrations, electrode angular velocity, etc.) either the first of the second electrochemical oxidation pathway can be favored.     

Advanced electrochemical analysis of metal-ion battery materials for rationalizing and improving battery performance

Rate performance of metal-ion batteries is determined by the kinetics of diffusive and charge transfer processes in composite electrodes, which can be quantitatively described using various experimental and modeling approaches. Advanced electrochemical methods and experimental techniques allow differentiating between various contributions to the overpotential and capacity fading at the individual particle, composite electrode and full cell levels. Apart from the practical significance for battery performance optimization, electrochemical kinetic studies provide a deeper understanding of intercalation mechanisms, including ionic transport through interfacial layers and the patterns of phase boundary propagation in phase-transforming particles.     

红外光谱结构解析专家系统

本文报道一个可辅助化学家进行红外光谱结构解析的新的专家系统。它由5个基本部分组成:知识库、推理机、数据库、知识获取模块和解释模块。系统用TurboPROLOG人工智能语言实现。与其它光谱解析系统相比较,本系统具有下述特点:方便友好的用户界面,两种知识库管理手段,数种解释功能。可在IBMPC/XT及其兼容机上运行。系统的另一个重要特点是能模拟有经验的化学家解析光谱、推断完整分子结构的推理方法。     

On-line electrochemical tagging of cysteines in proteins during nanospray

An electrochemical modification of free cysteine residues is studied and characterized by means of quinone addition. Taking advantage of the electrolytic nature of electrospray interfaces (ESI), an electrochemical tagging is performed prior to mass spectrometry (MS) analyses. The tagging has been studied by MS and different mechanisms, involving electrochemical and/or chemical steps, could be characterized. It is demonstrated that the present nanospray is a very efficient tool to obtain cysteine modification. Using the high voltage electrode of the nanospray interface to perform protein specific tagging is a novel method that can be associated to analytical or preparative techniques, such as digestion of proteins or capillary electrophoresis, for post-column modifications.     

Classification of binary mass spectra of toxic compounds with an inductive expert system and comparison with SIMCA class modeling

The performance of an inexpensive, inductive rule-building expert shell system, based on the ID3 algorithm, was compared to that of SIMCA class modeling in classifying the binary mass spectra of 78 toxic and related compounds. The compressed mass spectra consisted of 17 masses chosen by using information theory. The expert rules verified the six main classes and two subclasses found with SIMCA class modeling. These classes were: all benzenes and all alkanes/ alkenes (alka(e)nes); nonhalobenzenes, chlorobenzenes, bromoalka(e)nes, and chloroalka(e)nes; and mono-, dichloroalka(e)nes and polychloroalka(e)nes. Training set classification accuracies obtained with the expert system were 93–100% as opposed to 62–98% for SIMCA. For 73 compounds, the expert rules gave a classification accuracy of 97–100% vs. 79–96% for SIMCA. Predictive accuracy for the four main classes was 78%. In general, fewer masses were involved with the rules than with the SIMCA models, and the rules are normally optimized with regard to minimum number of steps in the rule, not minimum number of variables. The expert rules work best with closed sets of objects where all possibilities can be included in the training sets. The expert rules represent planes partitioning the multidimensional measurement space (hypercube) into a subvolume nearest the SIMCA cylinders for an appropriate class. Overall, the performance of the expert system was very good.