Chapter 9: Reaction Mechanisms, Pathways, Bioreactions and Bioreactors
Bifurcation Analysis
Substrate Inhibited Enzyme Reactions in a CSTR
Problem Statement
A substrate inhibiting enzyme reaction
\( S \xrightarrow{\text{Enzyme}} \text{products} \)
is carried out in a CSTR with residence time t. The inlet concentration of the substrate is CSO and the rate law is defined as
\(-r_S = \frac{V_{\max} C_S}{K_m + C_S + K_I C_S^2} \) (1)
a) Reduce the material balance to show that
\( F(y) = y^3 - (y_o - 1)y^2 + (a + b - y_o)y - y_o a = 0 \) (2)
where
y = KI CS
yo = KI CSO
a = Km KI
b = t Vmax KI
What is the maximum number of multiple steady states possible?
b) Let A = yo – 1 , B = a + b – yo , C = yo a
Show Eqn (2) can be put in the form
\( F(y) = y^3 - A y^2 + B y - C = 0 \) (3)
c) Plot F(y) as a function of y (e.g. choose A=9, B=10, C=5.) Assuming the shape of the curve remains the same, sketch what happens as one varies A, B and C. Using the solution to (b), show the maximum and minimum points in F(y) occur at
\( y_{1,2} = \frac{A \pm \sqrt{A^2 - 3B}}{3} \) (4)
and that y1 and y2 are positive and real if
\( y_1 + y_2 > 0 \) (5)
\( y_1 y_2 > 0 \) (6)
d) Discuss the fact that multiple steady states will occur if
\( F(y_1) F(y_2) \leq 0 \) (7)
e) Show that multiple steady states can exist only if
(a + b) > yo > 1 (8)
\( \left[ (K_M + \tau V_{\max}) > C_{S0} > \frac{1}{K_I} \right] \)
and
27 C2 – 18 ABC – A2B2 + 4A3C + 4B3 < 0 (9)
f) For yo = 10, show the region of multiple steady states on a plot of “b” as a function of “a”. Hint: First use Polymath to find C and a function of B
[Not to scale or shape]
What is the minimum value of “a” above which there will always be only one steady state? How will this minimum value of “a” change when yo is changed?
g) Develop a rough map to show
h) For very high substrate concentrations, what is the maximum number of multiple steady states possible? Show the region of MSS on a plot of b as a function of yo.
Hint: For high CS: \( -r_A = \frac{V_{\max} C_S}{K_I C_S^2} = \frac{V_{\max}}{K_I C_S} \)
Solution:
Part a) CSTR Material Balance
\( v_o (C_{S0} - C_S) = V(-r_S) \)
\( C_{S0} - C_S = \tau \frac{V_{\max} C_S}{K_m + C_S + K_I C_S^2} \)
\( K_I C_{S0} - K_I C_S = \tau \frac{K_I V_{\max} C_S K_I}{K_m K_I + C_S K_I + K_I^2 C_S^2} \)
\( y_o - y = \frac{b y}{a + y + y^2} \)
where
\( y_o = K_I C_{S0} \)
\( y = K_I C_S \)
\( a = K_m K_I \)
\( b = \tau K_I V_{\max} \)
\( (y_o - y) \left( a + y + y^2 \right) = by \)
\( a y_o + y_o y + y_o y^2 - a y - y^2 - y^3 = by \)
\( y^3 - (y_o - 1) y^2 + (a + b - y_o) y - a y_o = 0 \)
\( F(y) = y^3 - (y_o - 1) y^2 + (a + b - y_o) y - a y_o = 0 \)
Because this is a cubic equation, three steady states are possible
Part b)
\( A = y_o - 1 \)
\( B = a + b - y_o \)
\( C = y_o a \)
\( F(y) = y^3 - (y_o - 1)y^2 + (a + b - y_o)y - a y_o = 0 \)
\( F(y) = y^3 - A y^2 + B y + C = 0 \)
Part c)
@ y*
\(\frac{dF}{dy} = 3y^2 - 2A y + B = 0\)
\( y^*_ {1,2} = \frac{+ 2A \pm \sqrt{4A^2 - 4B3}}{2 \cdot 3} \)
\( y^*_ {1,2} = \frac{A \pm \sqrt{A^2 - 3B}}{3} \)
Part d)
We need to find the condition when the above equation has three positive roots. Hence, graphically F(y) should be
\( \left[ F(\infty) \to \infty \quad \text{and} \quad F(-\infty) \to -\infty \right] \)
If F(y) is such that
Case I
\( F(y_1^*) F(y_2^*) \leq 0 \)
Case II
\( F(y_1^*) F(y_2^*) < 0 \)
Part e)
Then there is only one real positive real root to F(y) = 0. Let’s assume that the points where
F'(y) = 0
are \( y_1^* \) and \( y_2^* \)
For F(y) = 0 to have two positive real roots
\( y_1^* > 0 , y_2^* > 0 \) (1)
and
\( F(y_1^*) F(y_2^*) \leq 0 \) (2)
F'(y) = -3 y2 - 2Ay + B = 0
\( y_{1,2}^* = \frac{A + \sqrt{A^2 - 3B}}{3} \)
\( y_1^* + y_2^* = \frac{2A}{3} \)
\( y_1^* y_2^* = \frac{B}{3} \)
\text{For (1) i.e. } y_1^* > 0 \text{ and } y_2^* > 0
\( y_1^* + y_2^* = \frac{2A}{3} > 0 \Rightarrow A > 0 \)
and
\( y_1^* y_2^* = \frac{B}{3} > 0 \Rightarrow B > 0 \)
\( A > 0 \Rightarrow y_0 - 1 > 0 \Rightarrow y_0 > 1 \)
\( B > 0 \Rightarrow a + b - y_0 > 0 \Rightarrow a + b > y_0 \)
\(\boxed{a + b > y_0 > 1} \) \quad (3)
For (2) i.e. \( F(y_1^*) F(y_2^*) \leq 0 \)
\( \left[ y_1^{*3} - A y_1^{*2} + B y_1^* - C \right] \left[ y_2^{*3} - A y_2^{*2} + B y_2^* - C \right] \leq 0 \)
\( \left[ (y_1^* y_2^*)^3 - A (y_1^* y_2^*)^2 (y_1^* + y_2^*) + B y_1^* y_2^* (y_1^{*2} + y_2^{*2}) \right. \)
\( \left. - C (y_1^{*3} + y_2^{*3}) + A^2 (y_1^* y_2^*)^2 - AB (y_1^* y_2^*) (y_1^* + y_2^*) \right. \)
\( \left. + AC (y_1^{*2} + y_2^{*2}) + B^2 (y_1^* y_2^*) - BC (y_1^* + y_2^*) + C^2 \right] \leq 0 \)
Here,
\[ y_1^{*3} + y_2^{*3} = (y_1^* + y_2^*)^3 - 3 (y_1^* y_2^*) (y_1^* + y_2^*) \]
\[ y_1^{*2} + y_2^{*2} = (y_1^* + y_2^*)^2 - 2 (y_1^* y_2^*) \]
\[ (y_1^* + y_2^*) = \frac{2A}{3} \]
\[ (y_1^* y_2^*) = \frac{B}{3} \]
\[ \boxed{27C^2 - 18ABC - A^2B^2 + 4A^3C + 4B^3 \leq 0} \]
Using Maple
Hence (A) and (B) are the conditions for F(y) = 0 to have three positive real roots, i.e., three multiple steady states.
For multiple steady states
\( 27C^2 - (18AB - 4A^3)C + (4B^3 - A^2B^2) \leq 0 \) (4)
\( C_1 = \frac{(18AB - 4A^3) + \sqrt{(18AB - 4A^3)^2 - 4 \times 27 \times (4B^3 - A^2B^2)}}{2 \times 27} \) (5)
\( C_2 = \frac{(18AB - 4A^3) - \sqrt{(18AB - 4A^3)^2 - 4 \times 27 \times (4B^3 - A^2B^2)}}{2 \times 27} \) (6)
For condition (1) to hold
C1 ≤ C ≤ C 2
For yo = 10
A = 9
First compute C1 and C2 for various values of B as shown in Table 1
Table 1
|
Coordinate Transformation\( C = a y_0 \) \( B = a + b - y_0 \) Now \( a_2 = \frac{C_2}{y_0} \) \( a_1 = \frac{C_1}{y_0} \) \( b_1 = B - a_1 + y_0 \) \( b_2 = B - a_2 + y_0 \) Plot \( a_2 \) as a function of \( b \) 2 Plot \( a_1 \) as a function of \( b \) 1 |
Part g)
Develop a plot of a versus yo that divides the region into no MSS and MSS. Repeating the above procedure for various values of yo, we will see that amax increases as yo increases.
\( F(C_S) = \frac{C_S}{\tau} - \frac{C_{S0}}{\tau} + \frac{V_m C_S}{K_m + C_S + K_I C_S^2} = 0 \)
\( \frac{dF}{dC_S} = \frac{1}{\tau} + \frac{V_m (K_m + C_S + K_I C_S^2) - V_m C_S(1 + 2K_I C_S)}{(K_m + C_S + K_I C_S^2)^2} \)
\( = \frac{1}{\tau} + \frac{V_m (K_m - K_I C_S^2)}{(K_m + C_S + K_I C_S^2)^2} = 0 \)
\( F(C_S^*) = 0 \quad \Rightarrow \quad \frac{1}{\tau} = \frac{V_m C_S^*}{(C_{S0} - C_S^*)(K_m + C_S^* + K_I C_S^{*2})} \)
\( F'(C_S^*) = 0 \quad \Rightarrow \quad \frac{1}{\tau} = \frac{V_m (K_I C_S^{*2} - K_m)}{(K_m + C_S^* + K_I C_S^{*2})^2} \)
\( \Rightarrow \frac{C_S^*}{C_{S0} - C_S^*} = \frac{K_I C_S^{*2} - K_m}{K_m + C_S^* + K_I C_S^{*2}} \)
\( \Rightarrow C_S^*(K_m + C_S^* + K_I C_S^{*2}) = (C_{S0} - C_S^*)(K_I C_S^{*2} - K_m) \)
\( \Rightarrow K_m C_S^* + C_S^{*2} + K_I C_S^{*3} = K_I C_S^0 C_S^{*2} - K_m C_S0 - K_I C_S^{*3} + K_m C_S^* \)
\( 2K_I C_S^{*3} + (1 - K_I C_{S0})C_S^{*2} + K_m C_{S0} = 0 \)
\( y = K_I C_S \)
\( y_o = K_I C_{S0} \)
\( a = K_m K_I \)
\( \Rightarrow \frac{2}{K_I^2} y^{*3} + (1 - y_o) \frac{y^{*2}}{K_I^2} + \frac{K_m C_{S0} K_I^2}{K_I^2} = 0 \)
\( \Rightarrow 2y^{*3} + (1 - y_o) y^{*2} + a y_o = 0 \)
\( \Rightarrow y^{*3} + \frac{(1 - y_o)}{2} y^{*2} + \frac{a y_o}{2} = 0 \)
\( y^{*3} - A y^{*2} + B y - C = 0 \)
\( \Rightarrow A = \frac{y_o - 1}{2}, \quad B = 0, \quad C = - \frac{a y_o}{2} \)
For only one real root for y*
\( 27 C^2 + 4A^3 C \geq 0 \quad (\because C < 0) \)
\( 27 C + 4A^3 \leq 0 \)
\( \Rightarrow 27 C \leq 4A^3 \)
\( \Rightarrow 27 \frac{-a y_o}{2} \leq 4 \frac{(y_o - 1)^3}{8} \)
\( \Rightarrow a \geq + \frac{(y_o - 1)^3}{27 y_o} \)
There will be no multiple steady states if \( \boxed{ a \geq \frac{(y_o - 1)^3}{27 y_o} } \)
This is also mentioned in part (f) of the problem statement. \( \frac{(y_o - 1)^3}{27 y_o} \) is the minimum value of a above which there will always be only one steady state.
For yo = 10 , amin = \( \frac{(y_o - 1)^3}{27 y_o} = 2.7 \)
(see b/a plot)
Multiple steady states may occur if
\( \boxed{a < \frac{(y_o - 1)^3}{27 y_o}} \)depending on the value of b (= t KI)
At bmin
\( C_1 = C_2 = \frac{9AB - 2A^3}{27} \)
\( a_{\min} y_o = \frac{9(y_o - 1)(b_m + a_m - y_o) - 2(y_o - 1)}{27} \)
\( 9(y_o - 1)(b_m + a_m - y_o) = 27 a_m y_o + 2(y_o - 1)^3 \)
\( b_m = (y_o - a_m) + \frac{[27 a_m y_o + 2(y_o - 1)^3]}{9(y_o - 1)} \)
\( b_m = \left( y_o - \frac{(y_o - 1)^3}{27 y_o} \right) + \left[ \frac{(y_o - 1)^3 + 2(y_o - 1)^3}{9(y_o - 1)} \right] \)
\( = \left[ y_o - \frac{(y_o - 1)^3}{27 y_o} + \frac{1}{3} (y_o - 1)^2 \right] \)
\( = \left[ y_o + \frac{(y_o - 1)^2}{3} \left( 1 - \frac{y_o - 1}{9 y_o} \right) \right] \)
\( \boxed{b_m = y_o + \frac{(y_o - 1)^2}{27 y_o} (8 y_o + 1)} \)