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相关概念视频

The Integrated Rate Law: The Dependence of Concentration on Time02:39

The Integrated Rate Law: The Dependence of Concentration on Time

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While the differential rate law relates the rate and concentrations of reactants, a second form of rate law called the integrated rate law relates concentrations of reactants and time. Integrated rate laws can be used to determine the amount of reactant or product present after a period of time or to estimate the time required for a reaction to proceed to a certain extent. For example, an integrated rate law helps determine the length of time a radioactive material must be stored for its...
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Predicting Reaction Outcomes02:24

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Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
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Introduction to Enzyme Kinetics01:19

Introduction to Enzyme Kinetics

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Enzyme kinetics studies the rates of biochemical reactions. Scientists monitor the reaction rates for a particular enzymatic reaction at various substrate concentrations. Additional trials with inhibitors or other molecules that affect the reaction rate may also be performed.
The experimenter can then plot the initial reaction rate or velocity (Vo) of a given trial against the substrate concentration ([S]) to obtain a graph of the reaction properties. For many enzymatic reactions involving a...
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Nonlinear Pharmacokinetics: Michaelis-Menten Equation01:18

Nonlinear Pharmacokinetics: Michaelis-Menten Equation

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The Michaelis–Menten equation is a fundamental model for describing capacity-limited kinetics in drug metabolism. It offers insights into the rate of decline of plasma drug concentration Cp over time, with Vmax and KM as pivotal parameters.
Vmax represents the maximum achievable process rate, while KM, known as the Michaelis constant, signifies the drug concentration at which the process rate reaches half its maximum. This relationship between Vmax, KM, and Cp gives rise to three distinct...
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Measuring Reaction Rates03:09

Measuring Reaction Rates

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Polarimetry finds application in chemical kinetics to measure the concentration and reaction kinetics of optically active substances during a chemical reaction. Optically active substances have the capability of rotating the plane of polarization of linearly polarized light passing through them—a feature called optical rotation. Optical activity is attributed to the molecular structure of substances. Normal monochromatic light is unpolarized and possesses oscillations of the electrical...
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One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

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This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
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相关实验视频

Updated: Jun 24, 2025

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
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用Kinetica.jl预测可变实验条件下的长时间尺度动力学.

Joe Gilkes1,2, Mark T Storr3, Reinhard J Maurer1,4

  • 1Department of Chemistry, University of Warwick, Gibbet Hill Road, CV4 7AL Coventry, U.K.

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|June 3, 2024
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概括

Kinetica.jl自动化了大型化学反应网络的创建和动态分析. 该软件可为材料设计提供准确的长期分子降解预测.

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科学领域:

  • 计算化学计算化学
  • 材料科学 材料科学 材料科学
  • 化学工程是化学工程的重要组成部分.

背景情况:

  • 在长时间内预测分子降解对于工业材料设计至关重要.
  • 使用动力数据构建精确的化学反应网络是计算密集的.
  • 现有的方法难以应对现实的反应系统的规模和复杂性.

研究的目的:

  • 介绍Kinetica.jl,这是一个用于自动化化学反应网络生成和动态建模的新型软件包.
  • 为了使复杂的化学系统能够在较长的时间范围内进行高效的模拟.
  • 弥合理论反应网络和实验观测之间的差距.

主要方法:

  • 一个动力学驱动的算法探索化学反应空间,以构建大规模网络.
  • 机器学习模型可以预测基本反应的激活能量.
  • 符号-数值建模和离散运动近似使得长时间规模的效率高的模拟.
  • 碳化合物热解被模拟使用过渡温度配置文件.

主要成果:

  • Kinetica.jl可以生成和描述大约10^3个化学物种和10^4-10^5个反应的网络.
  • 该软件允许在可变温度条件下灵活和高效地计算动态配置文件.
  • 准确的长时间范围的动力学概况被推广为自动反应网络的完善.
  • 在第二个时间尺度上成功演示了碳化合物热解模拟.

结论:

  • Kinetica.jl提供了一个自动化解决方案,用于生成,描述和建模复杂的化学反应系统.
  • 该套件促进了计算模型和实验数据之间的直接连接.
  • 这种方法显著提高了预测分子降解和设计新材料的能力.