Rate of reaction, rate constants, and Arrhenius' Equation

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SUMMARY

The discussion focuses on the relationship between the rate of reaction and temperature, utilizing the Arrhenius equation to derive the activation energy (Ea) from experimental data. The provided data includes rate constants (k) at various temperatures (T), and participants discuss using linear regression to plot ln k against 1/T. The slope of this plot, which is calculated to be -38.619, is critical for determining Ea using the formula Ea = -R × slope. The importance of understanding unitless logarithmic values in this context is also emphasized.

PREREQUISITES
  • Understanding of the Arrhenius equation and its components (A, Ea, R)
  • Basic knowledge of linear regression analysis
  • Familiarity with natural logarithms and their properties
  • Experience with data plotting tools, such as Excel or graphing calculators
NEXT STEPS
  • Learn how to perform linear regression analysis using Python libraries like NumPy or SciPy
  • Study the implications of activation energy in chemical kinetics
  • Explore alternative methods for data visualization without Excel, such as using Python's Matplotlib
  • Investigate the significance of the pre-exponential factor (A) in the Arrhenius equation
USEFUL FOR

Chemistry students, researchers in chemical kinetics, and educators looking to deepen their understanding of reaction rates and the Arrhenius equation.

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Homework Statement



The effect of temperature on the rate of a reaction was studied and the following data obtained:

k (s-1) T (°C)
3.06×10-4 10
4.84×10-4 16
6.50×10-4 20
1.40×10-3 31
2.87×10-3 42
4.16×10-3 48
5.94×10-3 54
7.92×10-3 59


It is known that the variation of the rate constant k with the absolute temperature T is described by the Arrhenius equation:


k = A exp^[( -Ea )/(RT)]


where Ea is the activation energy, R is the universal gas constant and A is the pre-exponential factor (units of the rate constant). Taking the natural logarithm of both sides affords:


ln k = ln A - Ea/RT


a) For a plot of y = ln k versus x = 1/T, calculate the slope of the best straight line using linear regression.

b) Calculate the activation energy Ea.


Homework Equations



Relevant equations listed in part 1

The Attempt at a Solution



Do I need to plot this data? Is there any way to do this without using excel or a graphing calculator? If there isn't, I tried putting these in a spreadsheet, then plot ln k in the y-axis and 1/T on the x-axis and then use Excel's "trendline" to get the slope. (The slope is Ea/R. So Ea is R x slope for part 2). However, I got -38.619 for the slope.. although, I don't know if this is right or wrong as I seem to keep getting the units wrong, are the not the units for (ln k)/(1/T), which is s^(-1)/degC^(-1), or degC/s? (where degC = degrees celsius)

If there is another way to figure this out, and if you know why I am getting the wrong units, help would be greatly appreciated! Once I know the first part, part b is a cinch.

Thank-you!
 
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Strictly speaking, logarithms are unitless (formally, the rate constants are multiplied by a time unit, giving a unitless quantity for the logarithm/exponential to act on). So I wouldn’t worry too much about that. But other than that, yes, plot the data and take the slope to get the activation energy (pay attention to the negative sign).
 

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