Next Article in Journal
Stretchability and Melt Strength Enhancement of Biodegradable Polymer Blends for Packaging Solutions
Previous Article in Journal
Djulis (Chenopodium formosanum) Extract as a Promising Natural Agent Against Skin Aging
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Mechanistic Study and Regulatory Effects of Chloride Ions on the B-Z Oscillating Reaction

1
Key Laboratory of Condiment Supervision Technology, State Administration for Market Regulation, Chongqing Institute for Food and Drug Control, Chongqing 400713, China
2
School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400044, China
3
School of Mechanical and Intelligent Manufacturing, Chongqing University of Science and Technology, Chongqing 401331, China
*
Author to whom correspondence should be addressed.
Molecules 2025, 30(15), 3210; https://doi.org/10.3390/molecules30153210
Submission received: 31 May 2025 / Revised: 17 July 2025 / Accepted: 22 July 2025 / Published: 31 July 2025

Abstract

This work investigated the mechanistic role of chloride ions (Cl) in the Belousov–Zhabotinsky (B-Z) oscillating reaction. We conducted a multivariate statistical analysis of the B-Z response, established a quadratic polynomial regression model, and determined the contributions of the experimental parameters to the induction time. The results indicate that the relationship between the experimental parameters and the induction time is often nonmonotonic, exhibiting secondary dependence. Then, we studied the influence mechanism by which Cl affects the B-Z reaction system. Both experimental and theoretical studies indicate that as the concentration of Cl increases, the system becomes more active as the activation energy increases. When the Cl concentration is less than 1 mmol/L, the induced apparent activation energy remains relatively constant. However, as the Cl concentration increases from 1.00 mmol/L to 2.00 mmol/L, the induced apparent activation energy increases rapidly from 50 kJ/mol to 120 kJ/mol, which severely hinders the induction period and then increases the induction time.

1. Introduction

Nonlinear phenomena play an essential role in various fields of natural sciences and engineering [1,2,3,4,5]. In particular, nonlinear chemical reactions are observed in various domains [6,7,8,9,10,11,12,13,14,15]. The classical Belousov–Zhabotinsky (B-Z) oscillating reaction refers to the oscillatory oxidation of citric acid catalyzed by cerium [16]. The reaction is typically carried out either as a well-stirred homogeneous system or a spatially distributed reaction–diffusion system [17], producing spatiotemporal rhythms and patterns [18]. The B-Z mixture is an acidic solution containing bromate ions and an oxidizable organic substrate [malonic acid (MA)] that causes the concentration of certain reaction intermediates to oscillate in a suitable single-electron REDOX catalyst, typically cerium (IV) or manganese (II) salts or iron present in proteins]. Proton catalysis plays a role in the electron transfer reaction involving the [Fe(phen)3]3+ species. This reaction involves a fairly complex mechanism [19,20,21], the main features of which were described in the minimal FKN model by Field, Körös, and Noyes in 1972 and further elaborated in the Gyorgyi–Turanyi–Field (GTF) model [22]. The presence of chloride ions (Cl) in the oscillating system disrupts the pulse signal and alters the system’s induction time parameters. However, there are no relevant reports on the mechanism by which the Cl affects the B-Z reaction. Therefore, research on how chloride affects the B-Z oscillation reaction is crucial for advancing the understanding of this system.
The concentration of Cl in natural water, industrial wastewater, and domestic sewage is one of the criteria for evaluating water quality. Existing methods for chloride ion detection mainly include titration, spectrophotometry, and ion chromatography. Titration is operationally simple but lacks precision and has limited detection limits. Spectrophotometry is highly sensitive, uses simple instrumentation, is rapid, and is widely applied, although its accuracy is relatively low. Ion chromatography offers high accuracy but is time-consuming. An electrochemical system based on the B-Z oscillating reaction can generate oscillating potential pulse signals. The addition of Cl to the oscillating system interferes with these pulse signals, causing changes in the induction time parameter. By analyzing the chemical information reflected by the changes in induction time, chloride ion concentrations can be detected. To date, there have been no reports on the application of B-Z oscillating reactions for chloride ion detection. Therefore, conducting research on the detection of Cl via the B-Z oscillating reaction and performing kinetic analysis holds significant importance and application value.
In this work, we optimized the process conditions of the sorium-catalyzed bromic acid-malonic acid B-Z oscillation reaction system. The effects of experimental parameters such as KBrO3, CH2(COOH)2, H2SO4, (NH4)4Ce(SO4)4, and temperature on the potential pulse oscillation signal were studied, and a quadratic polynomial regression model was established. The contributions of these parameters to changes in induction time were determined. Additionally, the correlation between the induction time and Cl concentration was studied, and its kinetics were analyzed to explain its underlying influence mechanism. The main research results are as follows:
  • The process conditions of the B-Z oscillatory response system were optimized. The research results show that at 30 °C, with the H2SO4 concentration is 3.00 mol/L, the CH2(COOH)2 concentration is 1.10 mol/L, the concentration of (NH4)4Ce(SO4)4 is 0.007 mol/L, and the KBrO3 concentration is 0.30 mol/L, which are the best process conditions for the oscillation response system. The potential oscillation pulse signal generated by this system has excellent stability, reproducibility, and periodicity. The induction time is 136.4 s, and the oscillation period is 39.0 s.
  • By studying the influence of each component concentration and temperature on the potential oscillation pulse signal, a quadratic polynomial regression model was established to describe the relationship between the component concentration, temperature and induction time: lnt = a0 + a1[KBrO3] + a2[MA] + a3[(NH4)4Ce(SO4)4] + a4T + a5[KBrO3][MA] + a6[KBrO3][Ce4+] + a7[KBrO3]T + a8[MA][Ce4+] + a9[MA]T + a10[Ce4+]T + a11[KBrO3]2 + a12[MA]2 + a13[Ce4+]2 + a14T2. Analysis of the predicted and measured values of the model’s fitted regression shows that the model has a high degree of significance and strong goodness of fit. The correlation coefficient is 0.998.
  • By studying the influence of the Cl concentration on the potential oscillation pulse signal, the results show that the relationship between the Cl concentration and induction time follows a secondary relationship described by the equation lnt = 5.337 − 0.775[Cl] + 0.723[Cl]2, T = 30 °C. The model demonstrated a high degree of fit, with a correlation coefficient of 0.987. An analysis of the predicted versus measured values confirms that the regression model is statistically significant and accurately represents the experimental data.
  • The results of the kinetic analysis and mechanism research on the influence of Cl on the induction time show that Cl does not participate in the electrochemical oscillation reaction but acts as an inhibitor of potential oscillation. As the concentration of Cl increases, it becomes more resistant to initiation, and the apparent activation energy increases. When the Cl concentration is less than 1 mmol/L, the induced apparent activation energy does not change much. As the Cl concentration increases from 1 mmol/L to 2 mmol/L, the induced apparent activation energy increases sharply from 50 kJ/mol to 120 kJ/mol. This significant increase severely hinders the reaction during the induction period of the B-Z oscillation reaction, greatly reduces the reaction speed, and then increases the induction time.

2. Results

2.1. Single-Factor Experiment with KBrO3

Table 1 and Figure 1 present that the c(KBrO3) increases from 0.15 mol/L to 0.45 mol/L, resulting in an increase in the induction time from 5.98 to 6.13. The relationship between the KBrO3 concentration and lnt follows a first-order linear equation: y = 0.48x + 5.91, with an R2 value of 0.996, indicating a good linear relationship. These results confirm that the induction time increases linearly with increasing KBrO3 concentration in the B-Z oscillating system.

2.2. Single-Factor Experiment with CH2(COOH)2

Table 2 and Figure 2 display how c(CH2(COOH)2) affects the value of lnt. As c(CH2(COOH)2) increases from 0.50 mol/L to 2.00 mol/L, lnt decreases from 6.53 to 5.87. The relationship between the CH2(COOH)2 concentration and lnt satisfies the polynomial equation: y = 0.25x2 − 0.81x + 6.36, with a degree fit of 0.989, indicating a strong fit. Therefore, the experimental results show that the induction time decreases with increasing CH2(COOH)2 concentration.
Table 3 and Figure 3 demonstrate that as the concentration of H2SO4 increases from 2.00 mol/L to 3.50 mol/L, the natural logarithm of the induction time remains virtually unchanged (approximately lnt ≈ 6.04). These results suggest that within this concentration range, H2SO4 has a negligible effect on the induction time of the B-Z oscillating system.

2.3. Single-Factor Experiment of (NH4)4Ce(SO4)4

Table 4 and Figure 4 show that as the concentration of [(NH4)4Ce(SO4)4] increased from 0.002 to 0.008 mol/L, lnt decreased from 6.55 to 5.69. The relationship satisfies the polynomial equation: y = 25,528x2 − 389.36x + 7.19, with an R2 of 0.992. The experimental results indicate that the induction time decreases with increasing (NH4)4Ce(SO4)4 concentration.

2.4. Single-Factor Temperature Experiments

Table 5 and Figure 5 show that when the temperature increases from 20 °C to 50 °C, lnt decreases from 6.43 to 4.38. This relationship follows a linear equation: lnt is y = −0.07x + 7.74, with a degree of fit of 0.998, indicating a very strong linear correlation. The experimental results show that the induction time decreases significantly with increasing temperature.

2.5. Orthogonal Experiment to Optimize the Technological Conditions of the B-Z Oscillation System

Typically, the orthogonal experiment was carried out with 3.00 mol/L of H2SO4, and the other influencing factors were taken as independent variables, and the logarithm of the induction time was used as the evaluation index. The experimental results are shown in Table 6.
According to the data presented in Table 6, the logarithmic quadratic polynomial regression model of the induction time of the B-Z oscillation system was obtained through Design-Expert 8.0 software. The coefficient values of the log-quadratic polynomial model of induction time are shown in Table 7.
lnt = a0 + a1[KBrO3] + a2[MA] + a3[(NH4)4Ce(SO4)4] + a4T + a5[KBrO3][MA] + a6[KBrO3][Ce4+] + a7[KBrO3]T + a8[MA][Ce4+] + a9[MA]T + a10[Ce4+]T + a11[KBrO3]2 + a12[MA]2 + a13[Ce4+]2 + a14T2
In Table 8, the p value can be used to judge the influence of the test factors on the logarithm of the induction time in order of temperature, cerium ammonium sulfate, malonic acid, and potassium bromate. The p value less than 0.0001 indicates that the regression model is highly significant and has a high degree of fit. p < 0.05 in the logarithmic regression model of induction time indicates that the regression term has a significant interaction effect in the regression model. The determination coefficient R2 and the adjusted determination coefficient of the model are both close to 1, and the coefficient of variation and precision are 0.61% and 61.923, respectively, which shows that the fitted regression model has high reliability. The relationship between the true values determined by the induction time and the predicted values of the fitted regression model is shown in Table 9 and Figure 6.

2.6. Optimization of the Process Conditions of the B-Z Oscillation System

The orthogonal test results show that the optimal experimental effect is when the [H2SO4] concentration is 3.00 mol/L, the [CH2(COOH)2] concentration is 1.10 mol/L, the [Ce4+] concentration is 0.007 mol/L, and the [KBrO3] concentration is 0.30 mol/L. Under these conditions, the system has the shortest induction time of 136.4 s. The oscillation system is relatively stable, and the periodicity of the oscillation curve is relatively good, with excellent reproducibility. Thus, the optimized program was used for subsequent research on how Cl influences the B-Z reaction.
For a better representation of the response surface, only the parameters with the strongest interaction in the orthogonal experiment, namely, malonic acid and cerium amonium sulfate, were selected. Figure 7 shows the three-dimensional surface plot at the center level of the potassium bromate concentration ([KBrO3] = 0.35 mol L−1), which provides a graphical representation of the relationship between two independent factors ([CH2(COOH)2] and [(NH4)4Ce(SO4)4]) and lnt. The contour lines are slightly curved due to the twisting effect on the plane generated by the interaction of the parameters [CH2(COOH)2] and [(NH4)4Ce(SO4)4]. As expected from the sign of the coefficients, lnt increases with the increasing factor levels. Furthermore, the influence of the cerium ammonium sulfate concentration varies with the malonic acid concentration, suggesting a strong interaction between these two factors. The minimum lnt peak of 4.446 is observed when [CH2(COOH)2] = 1.50 mol L−1 and when [(NH4)4Ce(SO4)4] = 0.007 mol L−1.

2.7. Study of the Mechanism and Regulatory Effect of Cl on the B-Z Oscillation Reaction

The B-Z reaction system consisted of 10 mL of 1.10 mol/L malonic acid solution, 20 mL of 3.0 mol/L sulfuric acid solution, 20 mL of 0.30 mol/L potassium bromate solution, 20 mL of 0.007 mol/L cerium ammonium sulfate solution, and 10 mL of a certain concentration potassium chloride solution.
Figure 8 and Table 10 show that, at 30 °C, as c(Cl) increases from 0.20 mmol/L to 2.00 mmol/L, lnt increases from 5.23 to 6.77, and the concentrations of Cl and lnt satisfy the quadratic relationship described by Equation (2), with an R2 of 0.987, indicating an excellent fit. However, as the temperature increases, the reaction rate accelerates, and the induced reaction time becomes shorter, causing the quadratic relationship to gradually deteriorate. When it reaches 45 °C, the degree of fit is only 0.9135. Therefore, the experimental results show that the electrochemical oscillation based on the B-Z oscillation reaction generates a pulse signal. The addition of Cl to the system will affect certain elementary reactions in the system, which will interfere with the oscillation system. When the concentration of Cl ranged from 0.20 to 2.00 mmol/L, no evident change was detected for the initial induction time. However, as the Cl concentration reached 1 mmol/L, the oscillation induction time increased rapidly. As shown in Figure 8, the chemical information reflected by the changes in the shape of the oscillation curve can be used to determine the chlorine content.
At 30 °C, the parameter equation with three coefficients (a) was obtained via quadratic regression, as shown in Equation (2) and Table 11. The results indicate a quadratic dependence on [Cl].
lnt = a0 + a1[Cl] + a2[Cl]2
Figure 9 shows the comparison between the logarithm of the predicted induction time (lntprd) calculated via the model described in (1) and the logarithm of the induction time (lntobs) observed in the experiment. In general, the logarithmic value of the induction time ranges from 5.15 to 6.77, indicating a perfect agreement between the predicted value and the experimental result. The original residuals obtained from multiple regression are reasonably dispersed without heteroscedasticity and outliers.
According to the Arrhenius equation: l n k = E a / R T + C and t 1 k , the following formula is derived: l n t 1 = E a / R T + C 1 . The induced activation energy Ea can then be obtained via this formula according to the data in Table 10.
Figure 10 shows that with an increase in Cl concentration, the induced activation energy of the B-Z oscillation reaction system increases, and the induction reaction becomes more difficult to proceed. The fitting effect of the quadratic relationship is perfectly matched. When the concentration of Cl is lower than 1.0 × 10−3 mol/L, the induced activation energy (Ea) remains almost unchanged at 50 kJ/mol. However, as the concentration of Cl increases from 1.0 × 10−3 mol/L to 2.0 × 10−3 mol/L, the induced activation energy (Ea) increases rapidly from 50 kJ/mol to 120 kJ/mol, which severely hinders the reaction in the induction period of the B-Z oscillation reaction, and greatly reduces the reaction speed, increasing of the induction time.
Figure 11 shows that the oscillation cycle is almost unchanged when different Cl concentrations are added. Therefore, the Cl does not affect the cycle time of the B-Z reaction, indicating that the Cl does not participate in the reaction, but is a strong inhibitor of the B-Z oscillation system, increasing the induction activation energy of the system and thereby affecting its induction time.

3. Materials and Methods

Materials. Potassium bromate (KBrO3), malonic acid (CH2(COOH)2), sulfuric acid (H2SO4), cerium ammonium sulfate ((NH4)4Ce(SO4)4), and potassium chloride (KCl) are analytical grade chemicals. Except for the preparation of the (NH4)4Ce(SO4)4 solution, 0.20 mol/L H2SO4 was used to prevent hydrolysis and turbidity. All other reagents were prepared with deionized water.
Methods. The chemical reaction followed the classic B-Z oscillatory reaction mechanism. The constant-temperature water was passed through the reactor jacket, and the super constant temperature bath was turned on to adjust the water temperature. In our experiments, we utilized a CHI660E electrochemical workstation, which is equipped with a standard three-electrode system. The working electrode was a glassy carbon electrode, the counter electrode was a platinum wire, and the reference electrode was the Ag/AgCl electrode. Data acquisition and analysis were performed via the software provided by CHI. The CH2(COOH)2 solution, KBrO3 solution, and H2SO4 solution were thoroughly mixed in a jacket reactor, and the preheated (NH4)4Ce(SO4)4 solution was added after 10 min at a constant temperature to determine the electrochemical oscillation curve. The reaction was carried out under stirring at 600 r/min. In this study, each experiment was conducted three times to ensure the reproducibility of the results.

4. Conclusions

In this work, a mathematical model was constructed via both single-factor experiments and multivariate statistical analysis, which illustrates that the temperature and cerium ammonium sulfate concentration are the most influential parameters affecting the induction time. As the temperature increases and the concentration of cerium ammonium sulfate increases, the induction time decreases accordingly. As the temperature increased, the induction time decreased as the concentration of cerium ammonium sulfate increased. Orthogonal experiments on the four factors of potassium bromate, malonic acid, cerium ammonium sulfate, and temperature were used to determine the optimal reaction conditions for the B-Z oscillation with a shorter induction time and better periodicity.
Afterward, on the basis of an optimized system determined by the above orthogonal experiment, we studied the influence of different concentrations of Cl on the induction time of the system. The results show that there is a good quadratic relationship between the Cl concentration and the induction time of the system, and the logarithmic value of the induction time predicted by the relationship model is in good agreement with the experimental results. A comparison of the B-Z oscillation periods at different Cl concentrations revealed that Cl does not affect the period of the B-Z reaction, indicating that Cl does not participate in the reaction. However, Cl strongly inhibits the B-Z oscillation system by increasing the induction activation energy and thereby affecting the induction time.

Author Contributions

Conceptualization, L.N. and W.Y.; methodology, L.N.; validation, L.N. and W.Y.; formal analysis, Q.W. and L.Z.; writing—original draft preparation, L.N. and Q.W.; writing—review and editing, L.Z. and W.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported and sponsored by the Natural Science Foundation of Chongqing (No. CSTB2023NSCQ-MSX0617) and open Project of the Key Laboratory of the State Administration for Market Regulation (Condiment Regulatory Technology) (KLCTS-2024-04).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Tikan, A.; Riemensberger, J.; Komagata, K.; Hönl, S.; Churaev, M.; Skehan, C.; Guo, H.; Wang, R.N.; Liu, J.; Seidler, P.; et al. Emergent nonlinear phenomena in a driven dissipative photonic dimer. Nat. Phys. 2021, 17, 604–610. [Google Scholar] [CrossRef]
  2. Battat, S.; Weitz, D.A.; Whitesides, G.M. Nonlinear Phenomena in Microfluidics. Chem. Rev. 2022, 122, 6921–6937. [Google Scholar] [CrossRef]
  3. Rajput, V.; Dayal, P. Dynamical attributes of nanocatalyzed self-oscillating reactions via bifurcation analyses. J. Chem. Phys. 2021, 155, 064902. [Google Scholar] [CrossRef]
  4. Rajput, V.; Dayal, P. Investigating the nonlinear dynamics of photosensitive Belousov-Zhabotinsky gels via bifurcation analyses. Chaos 2024, 34, 093139. [Google Scholar] [CrossRef]
  5. Masuda, T.; Ueki, T.; Tamate, R.; Matsukawa, K.; Yoshida, R. Chemomechanical Motion of a Self-Oscillating Gel in a Protic Ionic Liquid. Angew. Chem.-Int. Ed. 2018, 57, 16693–16697. [Google Scholar] [CrossRef]
  6. Dong, Y.J.; Gai, K.; Gong, X.X. Kinetic determination of GA by the BZ oscillating chemical system. J. Chin. Chem. Soc. 2004, 51, 7–11. [Google Scholar] [CrossRef]
  7. Ueki, T.; Matsukawa, K.; Masuda, T.; Yoshida, R. Protic Ionic Liquids for the Belousov-Zhabotinsky Reaction: Aspects of the BZ Reaction in Protic Ionic Liquids and Its Use for the Autonomous Coil-Globule Oscillation of a Linear Polymer. J. Phys. Chem. B 2017, 121, 4592–4599. [Google Scholar] [CrossRef] [PubMed]
  8. Sakata, T.; Nishitani, S.; Yasuoka, Y.; Himori, S.; Homma, K.; Masuda, T.; Akimoto, A.M.; Sawada, K.; Yoshida, R. Self-oscillating chemoelectrical interface of solution-gated ion-sensitive field-effect transistor based on Belousov-Zhabotinsky reaction. Sci. Rep. 2022, 12, 2949. [Google Scholar] [CrossRef] [PubMed]
  9. Gao, J.; Wang, L.; Yang, W.; Yang, F. Kinetic determination of indium ion based on the B-Z oscillating chemical system. J. Braz. Chem. Soc. 2006, 17, 458–462. [Google Scholar] [CrossRef]
  10. Akinyemi, L. A fractional analysis of Noyes–Field model for the nonlinear Belousov–Zhabotinsky reaction. Comput. Appl. Math. 2020, 39, 175. [Google Scholar] [CrossRef]
  11. Strizhak, P.E.; Khavrus, V.O. Determination of gases (NO, CO, Cl2) using mixed-mode regimes in the Belousov-Zhabotinskii oscillating chemical reaction. Talanta 2000, 51, 935–947. [Google Scholar] [CrossRef] [PubMed]
  12. Ullah, S.; Uddin, W.; Hu, G.; Nawabi, M.Y.; Ullah, R.; Sardar, S.; Mustaqeem, M.; Shen, X.F. Determination of Ascorbic acid by Using a Belousov-Zhabotinsky Oscillating System Catalyzed by a Macrocylic Complex. Int. J. Electrochem. Sci. 2019, 14, 5563–5572. [Google Scholar] [CrossRef]
  13. Gao, J.Z.; Yang, H.Y.; Liu, X.H.; Ren, J.; Lu, X.Q.; Hou, J.G.; Kang, J.W. Kinetic determination of ascorbic acid by the BZ oscillating chemical system. Talanta 2001, 55, 99–107. [Google Scholar] [CrossRef] [PubMed]
  14. Mallphanov, I.L.; Vanag, V.K. Chemical micro-oscillators based on the Belousov ± Zhabotinsky reaction. Russ. Chem. Rev. 2021, 90, 1263–1286. [Google Scholar] [CrossRef]
  15. Matsui, S.; Inui, K.; Kumai, Y.; Yoshida, R.; Suzuki, D. Autonomously Oscillating Hydrogel Microspheres with High-Frequency Swelling/Deswelling and Dispersing/Flocculating Oscillations. Acs Biomater. Sci. Eng. 2019, 5, 5615–5622. [Google Scholar] [CrossRef]
  16. Lazarou, L.A.; Hadjiioannou, T.P. Kinetic Potentiometric Determination of Citric-Acid with A Perbromate-Selective Electrode. Anal. Chim. Acta 1979, 108, 375–377. [Google Scholar] [CrossRef]
  17. Oliveira Maia, L.F.; Reis, E.L.; Reis, C.; Goncalves Reis, C.D.; de Carvalho Damasceno, O.I.; Teixeira dos Reis, L.G. Potentiometric Determination of Paracetamol in Pharmaceutical Formulations by the Analyte Pulse Perturbation Technique Using Belousov-Zhabotinskii Oscillating Chemical Reaction. J. Anal. Chem. 2019, 74, 1232–1238. [Google Scholar] [CrossRef]
  18. Otsuka, Y.; Sato, Y.; Maeda, S. Bubble-free System for Belousov-Zhabotinsky Gels. Chem. Lett. 2020, 49, 863–866. [Google Scholar] [CrossRef]
  19. Frerichs, G.A.; Yengi, D. Complex oscillations in the Belousov-Zhabotinsky batch reaction with methylmalonic acid and manganese(ii). RSC Adv. 2021, 11, 16435–16444. [Google Scholar] [CrossRef]
  20. Tavani, F.; Frateloreto, F.; Del Giudice, D.; Capocasa, G.; Mancini, M.D.; Busato, M.; Lanzalunga, O.; Di Stefano, S.; D’Angelo, P. Coupled X-ray Absorption/UV-vis Monitoring of a Prototypical Oscillating Reaction. J. Phys. Chem. Lett. 2024, 15, 7312–7319. [Google Scholar] [CrossRef]
  21. Szabo, E. Oregonator generalization as a minimal model of quorum sensing in Belousov-Zhabotinsky reaction with catalyst confinement in large populations of particles. Rsc Adv. 2015, 5, 99547–99554. [Google Scholar] [CrossRef]
  22. Field, R.J.; Noyes, R.M.; Koros, E. Oscillations In Chemical Systems. II. Thorough Analysis of Temporal Oscillation in Bromate-Cerium-Malonic Acid System. J. Am. Chem. Soc. 1972, 94, 8649–8664. [Google Scholar] [CrossRef]
Figure 1. Influence of KBrO3 on induction time.
Figure 1. Influence of KBrO3 on induction time.
Molecules 30 03210 g001
Figure 2. Influence of CH2(COOH)2 on the induction time.
Figure 2. Influence of CH2(COOH)2 on the induction time.
Molecules 30 03210 g002
Figure 3. H2SO4 influence diagram on the induction time.
Figure 3. H2SO4 influence diagram on the induction time.
Molecules 30 03210 g003
Figure 4. Influence diagram of (NH4)4Ce(SO4)4 on the induction time.
Figure 4. Influence diagram of (NH4)4Ce(SO4)4 on the induction time.
Molecules 30 03210 g004
Figure 5. Temperature influence diagram of the induction time.
Figure 5. Temperature influence diagram of the induction time.
Molecules 30 03210 g005
Figure 6. Relationship between the true value and the predicted value of lnt.
Figure 6. Relationship between the true value and the predicted value of lnt.
Molecules 30 03210 g006
Figure 7. Response surface plot of the model for the B-Z reaction.
Figure 7. Response surface plot of the model for the B-Z reaction.
Molecules 30 03210 g007
Figure 8. The logarithmic effect of the Cl concentration on the induction time of the B-Z oscillating reaction system at different temperatures.
Figure 8. The logarithmic effect of the Cl concentration on the induction time of the B-Z oscillating reaction system at different temperatures.
Molecules 30 03210 g008
Figure 9. Predicted the logarithm of induction time (lntprd) vs. observed the logarithm of induction time (lntobs) of the B-Z reaction.
Figure 9. Predicted the logarithm of induction time (lntprd) vs. observed the logarithm of induction time (lntobs) of the B-Z reaction.
Molecules 30 03210 g009
Figure 10. Relationship diagram of the influence of the Cl concentration on the induced activation energy Ea induced by the B-Z oscillating reaction system.
Figure 10. Relationship diagram of the influence of the Cl concentration on the induced activation energy Ea induced by the B-Z oscillating reaction system.
Molecules 30 03210 g010
Figure 11. Influence of the oscillation period under different Cl concentration (Cl) at 30 °C.
Figure 11. Influence of the oscillation period under different Cl concentration (Cl) at 30 °C.
Molecules 30 03210 g011
Table 1. Relationship between the concentration of the KBrO3 solution and the reaction.
Table 1. Relationship between the concentration of the KBrO3 solution and the reaction.
c[M]t(s)lnt
0.15396.65.983
0.20403.66.000
0.25414.86.028
0.30423.06.047
0.35434.76.075
0.40444.06.096
0.45458.06.127
Table 2. Relationship between the concentration of the CH2(COOH)2 solution and the reaction.
Table 2. Relationship between the concentration of the CH2(COOH)2 solution and the reaction.
c[M]t(s)lnt
0.50 415.9 6.030
0.60 390.2 5.967
0.70 367.1 5.906
0.80 352.9 5.866
0.90 345.15.844
1.00 336.45.818
2.00317.75.761
Table 3. Relationship between the concentration of H2SO4 solution and induction time in the reaction.
Table 3. Relationship between the concentration of H2SO4 solution and induction time in the reaction.
c[M]t(s)lnt
2.00420.96.042
2.50421.36.043
3.00420.66.042
3.50420.66.042
Table 4. Relationship between the concentration of the catalyst solution and the reaction.
Table 4. Relationship between the concentration of the catalyst solution and the reaction.
c[M]t(s)lnt
0.002697.26.547
0.003505.66.226
0.004409.66.015
0.005363.15.895
0.006331.65.804
0.007311.55.741
0.008295.65.689
Table 5. Relationship between temperature and the reaction.
Table 5. Relationship between temperature and the reaction.
T(°C)t(s)lnt
20.00618.16.427
25.00413.46.024
30.00287.55.661
35.00207.25.334
40.00143.84.968
45.00107.04.673
50.0079.54.376
Table 6. Length of induction time measured for 21 experiments established in a design with a center point for the B-Z reaction. In this experiment, [H2SO4] = 3 mol L−1. The factors are (A)[KBrO3]/mol L−1, (B)[CH2(COOH)2]/mol L−1, (C) [(NH4)4Ce(SO4)4]/mol L−1, (D)T/°C.
Table 6. Length of induction time measured for 21 experiments established in a design with a center point for the B-Z reaction. In this experiment, [H2SO4] = 3 mol L−1. The factors are (A)[KBrO3]/mol L−1, (B)[CH2(COOH)2]/mol L−1, (C) [(NH4)4Ce(SO4)4]/mol L−1, (D)T/°C.
ExperimentABCDlnt
10.301.100.00530.005.237
20.301.100.00530.005.244
30.351.100.00530.005.258
40.301.100.00730.004.916
50.301.100.00535.004.764
60.301.500.00530.005.152
70.301.100.00530.005.243
80.350.700.00735.004.746
90.251.500.00335.005.212
100.250.700.00325.006.144
110.350.700.00335.005.373
120.251.500.00735.004.446
130.301.100.00530.005.237
140.251.100.00530.005.136
150.351.500.00325.005.997
160.250.700.00725.005.479
170.301.100.00330.005.608
180.301.100.00525.005.628
190.351.500.00725.005.213
200.301.100.00530.005.236
210.300.700.00530.005.319
Table 7. Coefficient values of the log-quadratic polynomial model of induction time.
Table 7. Coefficient values of the log-quadratic polynomial model of induction time.
ConstantValueConstantValueConstantValue
a010.2a5/L2 mol−2−2.5a10/L mol−1 °C−10.68
a1/L mol−10.52a6/L2 mol−223.29a11/L2 mol−20.45
a2/L mol−1−0.62a7/L mol−1 °C−10.1a12/L2 mol−20.25
a3/L mol−1−323.53a8/L2 mol−2−40.34a13/L2 mol−216,382.072
a4/°C−0.15a9/L mol−1 °C−10.03a14/°C−2−18.4
Table 8. Analysis of variance of the log-quadratic polynomial model of induction time. “**” means this item is extremely significant (p < 0.01); “*” means this item is significant (p < 0.05).
Table 8. Analysis of variance of the log-quadratic polynomial model of induction time. “**” means this item is extremely significant (p < 0.01); “*” means this item is significant (p < 0.05).
Source of VarianceMean SquareDegree of FreedomSum of Squarep Value
Model0.21142.96<0.0001 **
[KBrO3]7.397 × 10−317.397 × 10−30.0376 *
[MA]0.01410.0140.0106 *
[Ce4+]1.2511.25<0.0001 **
T0.3710.37<0.0001 **
[KBrO3] [MA]4.004 × 10−314.004 × 10−30.0984
[KBrO3] [Ce4+]4.338 × 10−514.338 × 10−50.8455
[KBrO3] T1.042 × 10−311.042 × 10−30.3571
[MA] [Ce4+]8.334 × 10−318.334 × 10−30.0303 *
[MA] T4.821 × 10−314.821 × 10−30.0756
[Ce4+] T3.703 × 10−413.703 × 10−40.5738
[KBrO3]23.170 × 10−613.170 × 10−60.9576
[MA]23.931 × 10−313.931 × 10−30.1008
[Ce4+]20.01110.0110.0178 *
T22.872 × 10−712.872 × 10−70.9873
Residual1.047 × 10−366.284 × 10−3
Pure error1.511 × 10−546.044 × 10−5
Sum 202.97
Table 9. Comparison of the true values and predicted values.
Table 9. Comparison of the true values and predicted values.
Actual ValuePredicted Value
5.215.21
6.005.99
4.754.74
5.215.21
5.375.37
5.485.48
4.454.44
6.146.14
5.145.16
5.265.28
5.325.34
5.155.17
5.615.63
4.924.93
5.635.65
4.764.78
5.245.22
5.245.22
5.245.22
5.245.22
5.245.22
Table 10. Influence of the Cl solution concentration on the reaction at different temperatures.
Table 10. Influence of the Cl solution concentration on the reaction at different temperatures.
Concentration (mmol)Induction Time (s)
30 °C35 °C40 °C45 °C
0.005.234.924.604.28
0.205.234.934.594.29
0.405.214.944.604.27
0.605.234.934.614.27
0.805.224.934.594.28
1.005.264.924.604.29
1.205.455.054.724.26
1.405.555.124.774.28
1.605.855.344.884.33
1.806.305.625.064.43
2.006.775.965.374.52
Table 11. Coefficient values of the fitting relationship induced by Cl at 30 °C.
Table 11. Coefficient values of the fitting relationship induced by Cl at 30 °C.
ConstantValue
a05.337
a1/L mol−1−0.775
a2/L2 mol−20.723
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Niu, L.; Zhou, L.; Wang, Q.; Yang, W. Mechanistic Study and Regulatory Effects of Chloride Ions on the B-Z Oscillating Reaction. Molecules 2025, 30, 3210. https://doi.org/10.3390/molecules30153210

AMA Style

Niu L, Zhou L, Wang Q, Yang W. Mechanistic Study and Regulatory Effects of Chloride Ions on the B-Z Oscillating Reaction. Molecules. 2025; 30(15):3210. https://doi.org/10.3390/molecules30153210

Chicago/Turabian Style

Niu, Lidan, Lijuan Zhou, Qihui Wang, and Wenjing Yang. 2025. "Mechanistic Study and Regulatory Effects of Chloride Ions on the B-Z Oscillating Reaction" Molecules 30, no. 15: 3210. https://doi.org/10.3390/molecules30153210

APA Style

Niu, L., Zhou, L., Wang, Q., & Yang, W. (2025). Mechanistic Study and Regulatory Effects of Chloride Ions on the B-Z Oscillating Reaction. Molecules, 30(15), 3210. https://doi.org/10.3390/molecules30153210

Article Metrics

Back to TopTop