Consider the following enzyme-catalyzed reaction of urea: Urea Urease(Urea . Urease2 NH + CO, Urease K2 H,O 2 3 ES 2 The rate of reaction is given below as a function of the urea (substrate S) concentration Curea , kmol/m 1.30 0.65 0.25 0.17 0.061 0.0008 urea, kmol/m -s 12.60 5.50 3.09 2.05 0.293 0.0035 a. Using Excel, determine the Michaelis-Menten rate equation parameters rmax (also called Vmax) and Km by using the Lineweaver-Burke, Eadie-Hofstee and Hanes-Woolf equations (three separate plots). Show the model-predicted fit and clearly identify the three sets of rate equation parameters along with the regression statistics. b. Using the above three sets of rate equation parameters, generate predicted values for (-'urea) vs Cs from Cs 0 to Cs 1.40 using a spacing of ACs 0.02. Compare the -urea vs Cs data (solid points) with the predicted values using the rate equations parameters identified in step 2. (Lineweaver-Burke - solid line; Eadie-Hofstee-dashed line, and Hanes-Woolf- dotted line). Make sure to include a plot legend c. Comment on the fit of the M-M curves from the estimates of kinetic parameters made in Part (a). Which approach was the best fit for the data? Explain why by looking up the three linear forms from an existing literature source and commenting on their statistical 'bias'.

Introduction to Chemical Engineering Thermodynamics
8th Edition
ISBN:9781259696527
Author:J.M. Smith Termodinamica en ingenieria quimica, Hendrick C Van Ness, Michael Abbott, Mark Swihart
Publisher:J.M. Smith Termodinamica en ingenieria quimica, Hendrick C Van Ness, Michael Abbott, Mark Swihart
Chapter1: Introduction
Section: Chapter Questions
Problem 1.1P
icon
Related questions
Question

details in photo, please show all steps

Consider the following enzyme-catalyzed reaction of urea:
Urea Urease(Urea . Urease2 NH + CO, Urease
K2
H,O
2
3
ES
2
The rate of reaction is given below as a function of the urea (substrate S) concentration
Curea , kmol/m
1.30
0.65
0.25
0.17
0.061
0.0008
urea, kmol/m -s
12.60
5.50
3.09
2.05
0.293
0.0035
a. Using Excel, determine the Michaelis-Menten rate equation parameters rmax (also called Vmax) and Km
by using the Lineweaver-Burke, Eadie-Hofstee and Hanes-Woolf equations (three separate plots). Show
the model-predicted fit and clearly identify the three sets of rate equation parameters along with the
regression statistics.
b. Using the above three sets of rate equation parameters, generate predicted values for (-'urea) vs Cs from
Cs 0 to Cs 1.40 using a spacing of ACs 0.02. Compare the -urea vs Cs data (solid points) with the
predicted values using the rate equations parameters identified in step 2. (Lineweaver-Burke - solid line;
Eadie-Hofstee-dashed line, and Hanes-Woolf- dotted line). Make sure to include a plot legend
c. Comment on the fit of the M-M curves from the estimates of kinetic parameters made in Part (a).
Which approach was the best fit for the data? Explain why by looking up the three linear forms from an
existing literature source and commenting on their statistical 'bias'.
Transcribed Image Text:Consider the following enzyme-catalyzed reaction of urea: Urea Urease(Urea . Urease2 NH + CO, Urease K2 H,O 2 3 ES 2 The rate of reaction is given below as a function of the urea (substrate S) concentration Curea , kmol/m 1.30 0.65 0.25 0.17 0.061 0.0008 urea, kmol/m -s 12.60 5.50 3.09 2.05 0.293 0.0035 a. Using Excel, determine the Michaelis-Menten rate equation parameters rmax (also called Vmax) and Km by using the Lineweaver-Burke, Eadie-Hofstee and Hanes-Woolf equations (three separate plots). Show the model-predicted fit and clearly identify the three sets of rate equation parameters along with the regression statistics. b. Using the above three sets of rate equation parameters, generate predicted values for (-'urea) vs Cs from Cs 0 to Cs 1.40 using a spacing of ACs 0.02. Compare the -urea vs Cs data (solid points) with the predicted values using the rate equations parameters identified in step 2. (Lineweaver-Burke - solid line; Eadie-Hofstee-dashed line, and Hanes-Woolf- dotted line). Make sure to include a plot legend c. Comment on the fit of the M-M curves from the estimates of kinetic parameters made in Part (a). Which approach was the best fit for the data? Explain why by looking up the three linear forms from an existing literature source and commenting on their statistical 'bias'.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 8 steps with 7 images

Blurred answer
Knowledge Booster
Crystallizer design
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, chemical-engineering and related others by exploring similar questions and additional content below.
Recommended textbooks for you
Introduction to Chemical Engineering Thermodynami…
Introduction to Chemical Engineering Thermodynami…
Chemical Engineering
ISBN:
9781259696527
Author:
J.M. Smith Termodinamica en ingenieria quimica, Hendrick C Van Ness, Michael Abbott, Mark Swihart
Publisher:
McGraw-Hill Education
Elementary Principles of Chemical Processes, Bind…
Elementary Principles of Chemical Processes, Bind…
Chemical Engineering
ISBN:
9781118431221
Author:
Richard M. Felder, Ronald W. Rousseau, Lisa G. Bullard
Publisher:
WILEY
Elements of Chemical Reaction Engineering (5th Ed…
Elements of Chemical Reaction Engineering (5th Ed…
Chemical Engineering
ISBN:
9780133887518
Author:
H. Scott Fogler
Publisher:
Prentice Hall
Process Dynamics and Control, 4e
Process Dynamics and Control, 4e
Chemical Engineering
ISBN:
9781119285915
Author:
Seborg
Publisher:
WILEY
Industrial Plastics: Theory and Applications
Industrial Plastics: Theory and Applications
Chemical Engineering
ISBN:
9781285061238
Author:
Lokensgard, Erik
Publisher:
Delmar Cengage Learning
Unit Operations of Chemical Engineering
Unit Operations of Chemical Engineering
Chemical Engineering
ISBN:
9780072848236
Author:
Warren McCabe, Julian C. Smith, Peter Harriott
Publisher:
McGraw-Hill Companies, The