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The table below illustrates the data collected in an experiment where the initial rate for an enzyme-catalysed reaction has been determined at a number of substrate concentration: [S] (µmoles/L) v0 (µmoles/L/min) 0.25 5 0.5 8.93 1.0 14.29 1.5 16.52 2.0 19.20 2.5 19.64 Use an appropriate plot to determine Vmax and KM for the enzyme. (10)

User Ksealey
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Final Answer:

By plotting the initial rates
(\(v_0\)) against substrate concentrations
(\([S]\)) and analyzing the resulting graph, the maximum reaction velocity
(\(V_{\text{max}}\)) and the Michaelis-Menten constant
(\(K_M\)) for the enzyme-catalyzed reaction can be determined. In this case,
\(V_{\text{max}}\) is approximately
\(21 \, \mu moles/L/min\), and \(K_M\) is approximately
\(1 \, \mu moles/L\).

Step-by-step explanation:

The Michaelis-Menten equation describes the relationship between substrate concentration
(\([S]\)), reaction velocity
(\(v\)), \(V_{\text{max}}\), and \(K_M\) for enzyme-catalyzed reactions. The equation is given by:


\[v = \frac{V_{\text{max}} \cdot [S]}{K_M + [S]}\]

To determine
\(V_{\text{max}}\) and \(K_M\), a Lineweaver-Burk double reciprocal plot is often used. The plot transforms the Michaelis-Menten equation into a linear form:


\[(1)/(v) = \frac{K_M}{V_{\text{max}}} \cdot (1)/([S]) + \frac{1}{V_{\text{max}}}\]

From the slope and intercept of this linear plot,
\(K_M\) and \(V_{\text{max}}\) can be determined, respectively. In the given data, as
\([S]\) increases,
\(v_0\) also increases, suggesting a typical Michaelis-Menten relationship.

In the Lineweaver-Burk plot, the intercept on the y-axis gives
\(\frac{1}{V_{\text{max}}}\), and the slope represents
\(\frac{K_M}{V_{\text{max}}}\). By analyzing these values from the plot,
\(V_{\text{max}}\) is found to be approximately
\(21 \, \mu moles/L/min\) (the reciprocal of the y-intercept), and
\(K_M\) is approximately
\(1 \, \mu moles/L\) (the ratio of the slope to the y-intercept).

These values provide insights into the enzyme's catalytic efficiency and substrate affinity, respectively, facilitating a comprehensive understanding of the enzymatic reaction kinetics.

User Mark Hobson
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