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Tracking chemical kinetics in high-throughput systems

机译:跟踪高通量系统中的化学动力学

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摘要

Combinatorial chemistry and high-throughput experimentation (HTE) have revolutionized the pharmaceutical industry-but can chemists truly repeat this success in the fields of catalysis and materials science? We propose to bridge the traditional "discovery" and "optimization" stages in HTE by enabling parallel kinetic analysis of an array of chemical reactions. We present here the theoretical basis to extract concentration profiles from reaction arrays and derive the optimal criteria to follow (pseudo)first-order reactions in time in parallel systems. We use the information vector f and introduce in this context the information gain ratio, chi(r), to quantify the amount of useful information that can be obtained by measuring the extent of a specified reaction r in the array at any given time. Our method is general and independent of the analysis technique, but it is more effective if the analysis is performed online. The feasibility of this new approach is demonstrated in the fast kinetic analysis of the carbon-sulfur coupling between 3-chlorophenylhydrazonopropane dinitrile and beta-mercaptoethanol. The theory agrees well with the results obtained from 31 repeated C-S coupling experiments. [References: 35]
机译:组合化学和高通量实验(HTE)彻底改变了制药业,但是化学家能否在催化和材料科学领域真正重现这一成功?我们建议通过对一系列化学反应进行并行动力学分析来桥接HTE中的传统“发现”和“优化”阶段。我们在这里提供从反应阵列中提取浓度分布图并推导最佳条件的理论基础,以便在并行系统中及时跟踪(伪)一阶反应。我们使用信息向量f并在此上下文中引入信息增益比chi(r),以量化可通过在任何给定时间测量阵列中指定反应r的程度而获得的有用信息的数量。我们的方法是通用的,并且与分析技术无关,但是如果在线执行分析,则会更加有效。这种新方法的可行性在3-氯苯基肼基丙烷丙烷二腈和β-巯基乙醇之间的碳-硫偶联的快速动力学分析中得到了证明。该理论与从31次重复的C-S耦合实验获得的结果非常吻合。 [参考:35]

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