Influence of the reduction of iodate ion by hydrogen peroxide on the model of the Bray-Liebhafsky reaction

Kolar‐Anić, Lj.; Mišljenovic, Dj.; Anić, Slobodan; Nicolis, Gr�goire

doi:10.1007/bf02071178

Cited by 50 publications

(32 citation statements)

References 7 publications

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“…A recent simulation, 9 based on the models proposed by Kolar-Anic and Schmitz with co-workers, 10,11 complemented by the physical process of iodine interphase transport shows very good semiquantitative agreement with experiments. Buchholtz and Broecker 12 could show that in their CSTR experiments, when there was no gas phase above the solution, no oscillations could be observed in the BL system at a high flow rate.…”

Section: Introductionsupporting

confidence: 53%

Oxygen Production in the Oscillatory Bray−Liebhafsky Reaction

2000

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The volume of gaseous oxygen produced during the Bray-Liebhafsky (BL) oscillating reaction was measured. The rates of oscillatory O 2 evolution were calculated and the geometrical effects of the Pt electrode surface, stirring rate, and addition of the surfactant on the oscillatory behavior were studied. A significant stirring rate and detergent effect is observed. The oxygen evolution results obtained are in satisfactory agreement with oscillatory behavior of the BL reaction monitored by potentiometric measurements. The idea that physical and chemical processes might couple in the gas evolving oscillators and similar systems was first suggested over fifteen years ago by Bowers and Noyes. The possibility that chemical processes may couple with both oxygen and iodine nucleation and evolution in order to cause, enhance, or suppress oscillations in the BL system is indicated.

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Section: Introductionsupporting

confidence: 53%

Oxygen Production in the Oscillatory Bray−Liebhafsky Reaction

2000

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“…The first model where a direct autocatalytic step was successfully substituted by a realistic autocatalytic loop was proposed in 1987 by Guy Schmitz who was working on the modelling of the Bray-Liebhafsky oscillatory reaction (Schmitz 1987). Building on the original model proposed by Schmitz, a more powerful variant of the model was developed (Kolar- Anić et al 1992;Kolar-Anić et al 1995a) that could simulate complex dynamical structures such as mixed-mode oscillations, period doubling and deterministic chaos (Kolar- Anić et al 2004a;Kolar-Anić et al 2004b;Ivanović et al 2008;Ivanović et al 2009;Kolar-Anić et al 2010;Ivanović et al 2011;Čupić et al 2013). Thus, the connection between experimental and theoretical investigations was established and proved by numerical investigations.…”

Section: Discovery Of Homogenous Oscillatory Reactions -The Short Ovementioning

confidence: 99%

Advances made by Belgrade's group in research of oscillatory reactions

Kolar‐Anić¹,

Čupić²,

Anić³

2016

J Serb Soc Comp Mech

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Oscillatory dynamic states as one form of selforganization of nonlinear systems can be found in almost all sciences, like mechanics, physical chemistry or biomedicine. Although origin of these oscillations is different, computational challenges in modelling oscillatory phenomena remain similar in all fields. Since 1979 researchers from Belgrade's group perform systematic examinations of oscillatory reactions. As stability of steady states is the central point in modelling oscillatory reactions, in last 10 years they have adapted and improved powerful tool of the Stoichiometric Network Analysis for this goal. Moreover, bifurcations of few types were identified in several models of oscillatory reactions. Even very complex chaotic motions in phase space were characterized and quantified by several numerical techniques. Multiple time scale behaviour is found within the core of the complex dynamic behaviour of mixed-mode oscillations. Analytical applications were developed, too.

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“…In order to propose the nature of the interaction of UA with BL matrix, a well known and thoroughly tested 31,43 kinetic scheme was used that has already been used as a Maximum ratio tested; b in square brackets is tolerable ratio obtained by using a method employing the experimental procedure B. 103.6 ± 1.7 102.1 ± 0.9 a Mean value of six determinations (n = 5); b performed as accurate addition of 1.0 × 10 -4 mol L -1 uric acid to the real samples.…”

Section: Interaction Of Ua With Both Bl Matrix and Dr Matrixmentioning

confidence: 99%

Kinetic analytical method for determination of uric acid in human urine using analyte pulse perturbation technique

Pejić

Anić

Cupić

et al. 2012

J. Braz. Chem. Soc.

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Novos métodos simples e confiáveis para a determinação de ácido úrico (UA) são propostos e validados. Para a determinação quantitativa de UA, duas matrizes foram usadas: a reação oscilatória de Bray-Liebhafsky (BL) em um estado estacionário de não equilíbrio, estável, próximo ao ponto de bifurcação (método A), e o subsistema não oscilante (mistura de KIO 3 e H 2 SO 4), isto é, reação de Dushman (RD) em um estado estacionário (método B). Os métodos propostos são otimizados num reator tanque continuamente agitado (CSTR) e aplicados com excelentes resultados na determinação de UA em amostras de urina humana. A relação linear entre o deslocamento potencial máximo DE m e o logaritmo da concentração de UA (processo A), ou entre DE m e a concentração UA (processo B) é obtido no intervalo de concentração 2,98 × 10-5-2,68 × 10-4 mol L-1 e 2,98 × 10-5-3,58 × 10-4 mol L-1 , respectivamente. Os métodos têm uma velocidade de processamento de amostra excelente de 30 amostras h-1 (método A) e 7 amostras h-1 (método B) com sensibilidade determinada para ser 1,1 × 10-5 mol L-1 (método A) e 8,9 × 10-6 mol L-1 (método B), e precisão RSD ≤ 3.4% para ambos os métodos. Alguns aspectos do possível mecanismo de ação de UA nos sistemas de reação oscilante BL e não-oscilante de Duschman, são discutidos em detalhe. Simple and reliable novel methods for the determination of uric acid (UA) are proposed and validated. For quantitative determination of UA, two matrices were used: the Bray-Liebhafsky (BL) oscillatory reaction in a stable non-equilibrium stationary state close to the bifurcation point (method A) as well as, the BL non-oscillating subsystem (mixture KIO 3 and H 2 SO 4), i.e., Dushman reaction (DR) in a steady state (method B). The proposed methods are optimized in a continuously fed well stirred tank reactor (CSTR) and applied with excellent results in the determination of UA in human urine samples. The linear relationship between maximal potential shift DE m , and both the logarithm of the UA concentration (procedure A) and UA concentration (procedure B) is obtained in the concentration range 2.98 × 10-5-2.68 × 10-4 mol L-1 and 2.98 × 10-5-3.58 × 10-4 mol L-1 , respectively. The methods have an excellent sample throughput of 30 samples h-1 (method A) and 7 samples h-1 (method B) with the sensitivity determined to be 1.1 × 10-5 mol L-1 (method A) and 8.9 × 10-6 mol L-1 (method B) as well as the precision RSD ≤ 3.4% for both methods. Some aspects of the possible mechanism of UA action on the BL oscillating and Duschman non-oscillating reaction systems are discussed in detail.

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Influence of the reduction of iodate ion by hydrogen peroxide on the model of the Bray-Liebhafsky reaction

Cited by 50 publications

References 7 publications

Oxygen Production in the Oscillatory Bray−Liebhafsky Reaction

Oxygen Production in the Oscillatory Bray−Liebhafsky Reaction

Advances made by Belgrade's group in research of oscillatory reactions

Kinetic analytical method for determination of uric acid in human urine using analyte pulse perturbation technique

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