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作 者:贾蒙蒙 胡东芳 许启跃[1] 叶树亮[1] JIA Meng-meng;HU Dong-fang;XU Qi-yue;YE Shu-liang(Institute of Industry and Trade Measurement Technique,China Jiliang University,Hangzhou 310018,China)
机构地区:[1]中国计量大学工业与商贸计量技术研究所,浙江杭州310018
出 处:《化学研究与应用》2022年第6期1259-1266,共8页Chemical Research and Application
摘 要:作为非线性化学的重要分支,pH振荡在生物学、物理学、医药学等众多领域中都发挥着重要的作用,需重点关注pH振荡反应机理及其数学模型的研究。本文通过实验验证化学计量网络分析(SNA)模型的准确性,并研究了KBrO_(3)-Na_(2)SO_(3)-K_(4)Fe(CN)_(6)反应体系(BSF反应)的动力学机理,结果表明流速越大,振荡反应振幅越小,周期越大。将遗传算法与传统的SNA模型进行结合,建立了pH振荡可控调节的方法,实现了BSF反应的周期与微幅值控制,指导应用中对振荡反应的可控调节。As an important branch of nonlinear chemistry,pH oscillation plays an important role in many fields,such as biology,physics,medicine and so on.In this paper,the accuracy of stoichiometric network analysis(SNA)model is verified by experiments,and the kinetic mechanism of KBrO_(3)-Na_(2)SO_(3)-K_(4)Fe(CN)_(6)reaction system(BSF reaction)is also studied.The results indicate that the higher the flow rate is as well as the smaller the oscillation amplitude is,and the larger the period is.Combining genetic algorithm with traditional SNA model,a method of pH oscillation controllable regulation is established,which realizes the period and micro amplitude control of BSF reaction,and guides the controllable regulation of oscillation reaction in application.
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