Period Dynamics of the B-Z Reaction

 

Julia Lenzi & Martin Miller

University of Houston, Physics

 

Abstract:

The Belousov-Zhabotinsky (BZ) chemical reaction is a system that exhibits periodic behavior and complex patterns.  Changes in the forces acting on the system can measurably alter the dynamics of the system, especially when dealing with the light-sensitive form of the reaction [[1]].  Models of the reaction typically involve a large number of constants, depend on chemical concentrations, and describe only the constant flow reaction [5].  The dynamics of the periodic oscillations, however, can be used to describe general information about the energy of the system.

The system we are studying, a forced non-linear chemical reaction, has many analogous systems occurring in nature such as the growth pattern of fungi, fibrillation of heart tissue and circadian rhythms [2].


Background:

The Belousov-Zhabotinskii reaction is a non-linear oscillatory reaction that involves the production of molecular bromine from bromate and bromide ions in the presence of an acid.

By the 1970s, many people were working on some aspect or other of the BZ reaction and many more had heard of it.  Biochemists and biophysicists and mathematicians had all embraced the BZ reaction as a model for something they were more interested in.  Biology-minded scientists had long seen similar oscillatory patterns in multitudes of natural phenomena from fungi growth to the fibrillation of heart tissue.  Mathematicians saw the oscillatory nature of the BZ reaction as arising from problems of differential equations yet to be explored.  Research and activity surrounded the BZ reaction, especially as the field of chaos emerged from under the rugs of every natural science.

In 1958 however, when B. P. Belousov first discovered that the oxidation of citric acid by bromate in the presence of cerium ions did not proceed uniformly to equilibrium, there was no rush to understand and use this intriguing reaction, instead it was quietly accepted and then ignored.  In fact, in the western hemisphere it was largely unknown despite a 1967 Nature article by H. Degn.  Belousov reported that instead of proceeding uniformly to equilibrium, this reaction maintained oscillations between a yellow and a colorless state with astonishing regularity, and yet apparently no one save A. M. Zhabotinskii saw such behavior as anything beyond an academic curiosity.  From a chemists’ perspective at the time, before the emergence of chaos as a field and the analytical tools which emerged with it, this reaction was merely a curiosity.  However, when Zhabotinskii and colleagues went to the 1968 international conference on biological and biochemical oscillators in Prague they found an audience waiting to pounce on their results and the BZ reaction.

 

Methodology:

In our experiment we hoped to determine the base frequency of oscillation and change in frequency for a given BZ reaction and then to determine the effect of changing the initial concentration of bromide ions, as well as the effect of adding a catalyst, on the frequency of oscillation or the change in frequency. 

Our initial reaction was created from [[2]]

 

1.  Dissolve 3 ml concentrated sulphuric acid and 10 g potassium bromate in 134 ml water.

2.  Dissolve 1 g sodium bromide in 10 ml water.

3.  Dissolve 2 g malonic acid in 20 ml water.

 

(Note that the Cl, Br, and Na ions are not active participants in the reaction. [[3]])

In a small glass beaker, add 1 ml of solution 2 to 12 ml of solution 1.  Then add 2 ml of solution 3 and wait a few minutes for the solution to become clear.  This should be done in a well-ventilated area as it may put off a small amount of fumes.  Then, add 2 ml of 0.025M (standard) Ferroin indicator.  Mix well and pour into a 90 mm petri dish and cover it.  The solution is uniformly orange but in a minute or two the solution will turn clear and then go back to orange.  This is the base oscillation.

Soon after the base oscillation begins, clear/white dots will appear and begin to spread out in rings as well as perhaps forming labyrinthine patterns or spirals (Figure 1).  These depend very much on the initial conditions to an extent that cannot be controlled in our laboratory.  The appearance of target patterns or spirals at all is not so much due to the solution as it is due to dust contamination and other impurities in the solution.  These points of contamination are points of nucleation for a phase difference that radiates outwards.  These patterns fall into the category of Trigger Waves; one of two general categories for pattern formations in any given BZ reaction.  Trigger waves are waves of excitation and are dependent on diffusion.  The other category is Kinematic Waves – independent of diffusion and only occurring in self-oscillatory reagent; our experiment did not produce any of these.

The base oscillation, flushing clear and then again orange, however, is what is measured for this experiment.  The data collection was achieved using a laptop and a computer program designed by Martin Miller which acts as a stopwatch.  Hitting the space bar at each oscillation recorded the time between oscillations.  However, given that the oscillations are on the order of approximately half a minute, a standard stopwatch would suffice if the data were needed to be taken manually.

Our experiment was originally derived from a Nature article [[4]] which discussed varying the oscillation frequency with the aid of a light-sensitive catalyst Tris (2,2’ bipyridyl) dichlororuthenium (II) hexahydrate.  This chemical both catalyzes and slows the reaction rate when exposed to light in the range 430-470nm.  We attempted to include this into our general BZ reaction and measure the effect this catalyst had on the oscillation frequency when exposed to diffused light from LEDs emitting light at approximately 466nm.  The diffusing was done using waxed weigh-paper.

 

Results/Conclusions:

We performed nine experiments in which time data was taken until the base pattern became unrecognizable, which produced approximately twenty minutes for each trial, and about 30-40 data points, which was enough points to allow statistical analysis.

·        Three trials used the standard recipe listed in the methods.  (Figure 3)

·        One trial changed the amount of sodium bromide to 1.5 grams.  (Figure 4)

·        Five trials added 0.5, 1.0 (twice), 1.5, and 2.0 mL of 1 mM Ru(bpy)3+2Cl2 .  (Figure 5)

 

In order to analyze the results, a model is needed to relate the observables of the experiment to physical processes.  The current models for the B-Z reaction represent the reaction as a system of coupled partial differential equations based on ion concentrations through time and arbitrary constants [5].  However, measurement of the ion concentrations is beyond the capability of the laboratory, and the PDE system is difficult to calculate.  As a result, a simplified model is needed for this experiment.

To generate the model, several key factors contributed.

·        It can be observed qualitatively that the intensity of the solution color reduces with time.

·        The period of oscillation becomes shorter with time.

·        The reaction will eventually go to extinction.

·        The decay of some ions is exponential [[5]].

If one assumes that the ion concentration is related to the indicator intensity, analogies can be made with a non-chaotic oscillatory system.  Recall from mechanics the partially elastic bouncing ball.  As the ball bounces towards rest in a finite time, the height of the bounces reduces exponentially with time and the period of each bounce is shorter as the height decreases.

The attached calculations show how this model was related to the B-Z reaction that was observed.  The model predicts a linearly decreasing period with time (Figure 2).  This line has two attributes: a y-intercept and a slope.   The y-intercept, labeled t0 to represent an imaginary initial period, is proportional to the square root of initial energy, and inversely proportional to the driving forces of the reaction by some function.  The slope is related to the fraction of energy lost per oscillation, ε, through a constant, α, which describes the dynamics of the reaction rate.

While t0 is an interesting observation, it is not very useful.  Not only does it lump all of the unknowns into a single number, but it is also highly dependent on what time in the reaction that the measurement begins.  Since the solutions may sit for different lengths of time during stirring, the relationships between the t0 of the trials depends more on procedure than the reaction itself.  Looking at Figure 9, the t0 varies dramatically for even identical trials, and in (b) the error bars of most of the trials still overlap, indicating that t0 does not vary significantly.  Although trials from separate batches were more disparate than trials mixed from the same batch (cf. Ru 1.0 vs. Ru 1.0 (2)).  Also, although the t0 measurements are inconclusive, the slightly higher values for the catalyzed trials is consistent with more energy being available to the reaction because of the catalyst.

The slope of the line is the focal point of this experiment.  The three trials using the original recipe were used as a control.  Figure 10 shows the fraction of energy that was lost per oscillation in each trial, ε, derived from the slope of the regression line.  The 0.5 and 1.0 mL trials appear to lose energy at a much lower rate than the control trials.  This is consistent with the use of a catalyst.  The 1.5 and 2.0 mL trials do not conform to this trend as strongly.  However, Figure 7 shows one point in the 1.5 trial which appears to be erroneous.  When that point is removed, the ε-value for the 1.5 trial drops to a value approximately equal to the 0.5 trial.   Looking at Figure 8 shows that the high variance was primarily caused by points toward the end of the trial.  These points also made the slope of the line steeper than the initial points would suggest, and a steeper slope produces a higher ε-value.  The most probably cause of this is that the depth of solution in the petri dish for this trial was slightly too deep, and three-dimensional patterns had overcome the base frequency well before the trial was ended.  Additional 2.0 trials should be tested to determine if the results are consistent.

Although there was some deviation, the simplified model seems consistent with the action of a catalyst on the B-Z reaction.

The one trial with altered bromide concentration failed to produce promising results, despite the fact that bromide is one of the key reaction components.  The bromide trial fell in line with the three control trials, indicating that the bromide concentration does not impact the time dynamics of the experiment.

We would like to thank Dr. Swinney’s group at UT for their help in getting started with our experiment.



Figure Captions:

 

Figure 1            Illustration showing form of a spiral and a target pattern that can occur in the B-Z reaction.

 

Figure 2            Graph of a the points generated by the simplified theoretical model.  This graph was generated using an arbitrary alpha of 99/100 and a t0 of 30 seconds.

 

Figure 3            Results of the three trials using the standard formula recipe. 
a)         α = 0.992800385
            t0 = 44.23569594
            σ2 = 3.648892433
b)         α = 0.991814875
            t0 = 32.8920867
            σ2 = 0.565897532
c)         α = 0.987867576
            t0 = 38.40796699
            σ2 = 2.145329928

 

Figure 4            Results of the trial using a replacement of 1.5g NaBr in the standard recipe.
            α = 0.990333222
            t0 = 37.17203035
            σ2 = 3.145841065

 

Figure 5            Results of trial using standard recipe plus 0.5mL of 1mM Ru(bpy)3+2Cl2 .
            α = 0.996049993
            t0 = 37.41086731
            σ2 = 1.837430785

                                                                                                            

Figure 6            Results of trials using standard recipe plus 1.0mL of 1mM Ru(bpy)3+2Cl2.  Trial (a) was performed separately.  Trial (b) was performed from the same batch as the other Ru trials.
a)         α = 0.996496959
            t0 = 21.79186347
            σ2 = 1.018987739
b)         α = 0.995044319
            t0 = 41.78337941
            σ2 = 3.858945209

Figure 7            Results of trial using standard recipe plus 1.5mL of 1mM Ru(bpy)3+2Cl2
            α = 0.994186339
            t0 = 45.37717785
            σ2 = 13.9059919

 

Figure 8            Results of trial using standard recipe plus 2.0mL of 1mM Ru(bpy)3+2Cl2
            α = 0.988285496
            t0 = 52.90259889
            σ2 = 36.19491048

 

Figure 9            (a) is a graph showing the t0 of the trials. (b) shows the t0 with the range of the standard deviation for each trial.

 

Figure 10          Graph of the fraction of energy lost per oscillation in each trial.

 

 

 


Figures:

 

Figure 1

 


Figure 2


3a)

 

3b)

 

3c)

Figure 3


Figure 4


Figure 5


6a)

 

6b)

Figure 6


Figure 7


Figure 8


9a)

 

9b)

Figure 9


Figure 10

 



 

References:

 

 

[1] Steinbock, Oliver,  Zykov, Vladimir, & Müller, Stefan C.  “Control of spiral-wave dynamics in active media by periodic modulation of excitability.”  Letters to Nature 366 (1993). 322-324.

[2] Tyson, John J. The Belousov-Zhabotinskii Reaction.  Managing Ed. S. Levin.  Lecture Notes in Biomathematics.  10.  Berlin: Springer-Verlag, 1976.   (cf  p. 71)

[3] Karl Martinez, University of Texas, Physics.  Personal correspondence.

[4] Petrov, Valery, Qi Ouyang, and Harry Swinney.  “Resonant pattern formation in a chemical system.”  Nature 388 (1997).  655-657.

[5] Fösterling, Hosrt-Dieter & Stuk, Linda, “Investigation of Radical Reactions Important in the Györgyl-Turányl-Fleld Model of the Belousov-Zhabotinskii Reaction.”  Journal of Physical Chemistry 95 (1991).  7320-7325.