Limitations in Electrochemical Determination of Mass-Transport Parameters: Implications for Quantification of Electrode Kinetics Using Data Optimisation Methods

2017 ◽  
Vol 70 (9) ◽  
pp. 990 ◽  
Author(s):  
Elena Mashkina ◽  
Alan M. Bond ◽  
Alexandr N. Simonov

Voltammetric quantification of the electrode kinetics for the quasi-reversible reaction requires detailed experiment–theory comparisons. Ideally, predicted data derived from the theoretical model are fitted to the experimental data by adjusting the reversible potential (E0), heterogeneous electron transfer rate constant at E0 (k0), and charge transfer coefficient α, with mass-transport and other parameters exactly known. However, parameters relevant to mass transport that include electrode area (A), diffusion coefficient (D), and concentration (c), are usually subject to some uncertainty. Herein, we examine the consequences of having different combinations of errors present in A, D, and c in the estimation of E0, k0, and α on the basis of the a.c. (alternating current) voltammetric experiment–theory comparisons facilitated by the use of a computer-assisted parameter optimisation algorithm. In most cases, experimentally reasonable errors (<10 %) in the mass-transport parameters do not introduce significant errors in recovered E0, k0, and α values. However, a pernicious situation may emerge when a slight overestimation of A, D or c is included in the model and results in erroneous identification of a reversible redox process as a quasi-reversible one with a report of apparently quantifiable kinetic parameters k0 and α.


1977 ◽  
Vol 16 (02) ◽  
pp. 93-95 ◽  
Author(s):  
A. Alpérovitch ◽  
P. Fragu

A computer-assisted program for diagnosing hyperthyroidism, specially devoted to the screening of functional thyroid status, has been written using data provided by 359 patients, 282 euthyroid and 77 hyperthyroid. The model is based on Bayes’ theorem.Using only 9 clinical signs and the free thyroxin index, the program achieved, on a test-sample of 117 new patients, an overall accuracy of 90% ; 10% of the cases were in the zone of uncertainty, and none was misdiagnosed.Different screening strategies are examined and their results discussed.



1993 ◽  
Vol 8 (2) ◽  
pp. 124-133 ◽  
Author(s):  
Richard Spoth ◽  
Cleve Redmond

Purpose. The purpose of this article is to illustrate the application of conjoint analysis, a consumer research technique, using data from a survey of parents' preferences for prevention programs. Design. This study utilized a one-time, cross-sectional telephone survey. Setting. Data were collected from subjects living in economically disadvantaged rural midwestern counties. Subjects. Subjects were 202 randomly selected parents with préadolescents who indicated interest in family-focused prevention programs. Measures. Conjoint analysis software was employed in computer-assisted telephone interviews to evaluate relative preferences for 39 individual features of family-focused prevention programs falling under 11 categories (e.g., program meeting time, facilitator background). The software also guided computer simulations of parent choices among four types of programs. Results. Findings indicated that meeting time was the most important category of program features. Strongly preferred individual features included meetings scheduled on weekday evenings, instruction by child development specialists, and programs based on extensive research. Two multiple-session programs evaluated via computer simulations incorporated several preferred features and received higher ratings than did single-session programs. Estimated variance z-tests indicated limited differences in perceived importance of program feature categories across sociodemographic subgroups. Conclusions. Findings highlight a) differences in the relative value parents place on various features of prevention programs in the surveyed population and b) the importance of practical aspects of program delivery.



2018 ◽  
Author(s):  
Chris Vogl ◽  
Peng Zheng ◽  
Stephen P. Seslar ◽  
Aleksandr Y. Aravkin

AbstractWe consider the problem of locating a point-source heart arrhythmia using data from a standard diagnostic procedure, where a reference catheter is placed in the heart, and arrival times from a second diagnostic catheter are recorded as the diagnostic catheter moves around within the heart.We model this situation as a nonconvex feasibility problem, where given a set of arrival times, we look for a source location that is consistent with the available data. We develop a new optimization approach and fast algorithm to obtain online proposals for the next location to suggest to the operator as she collects data. We validate the procedure using a Monte Carlo simulation based on patients’ electrophysiological data. The proposed procedure robustly and quickly locates the source of arrhythmias without any prior knowledge of heart anatomy.



2001 ◽  
Vol 211 (2) ◽  
pp. 227-237 ◽  
Author(s):  
Pavel Čapek ◽  
Andreas Seidel-Morgenstern


2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Endre Nagy ◽  
Gábor Borbély

The negative effect of the concentration polarization layer on the membrane separation is well known. How the mass transport parameters of the membrane matrix, e.g. the solubility coefficient, membrane Peclet number, can affect the concentration profile of the boundary layer, and consequently, the separation efficiency is not investigated in detail yet. This paper gives the suitable mathematical expressions, in order to predict the well known parameters as polarization modulus, enrichment factors, etc., taking into account the transport parameters for both the concentration boundary and the membrane layers, and analyses the concentration distribution and the polarization modulus. It has been shown that the transport properties of the membrane layer have significant effect on the concentration profiles of the boundary layer and thus, on the polarization modulus, enrichment factors, etc., as well. Thus, the well known equations, e.g. the polarization modulus, enrichment factor given in the literature [see e.g. Equations (2) and (3)], could be considered as approaches.



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