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AP Biology Notes

3.2.5 Temperature Effects on Reaction Rate

AP Syllabus focus:

‘Higher temperatures increase molecular movement and enzyme–substrate collisions, raising reaction rates until the optimal temperature is exceeded.’

Temperature is a major factor controlling how fast enzyme-catalysed reactions proceed in cells. Understanding why reaction rate rises with warming—and why it eventually drops—helps explain cellular performance limits.

Core idea: temperature changes collision frequency and energy

Enzyme-catalysed reactions depend on random molecular collisions between enzyme and substrate in solution. Temperature affects:

  • Molecular movement: warmer molecules move faster.

  • Collision frequency: faster movement increases how often enzyme and substrate collide.

  • Collision quality: a higher fraction of collisions have enough energy to form product.

Kinetic energy and successful collisions

As temperature increases, average kinetic energy increases, so substrates:

  • diffuse faster

  • collide with the active site more often

  • are more likely to collide in the correct orientation and with sufficient energy to proceed

This is why reaction rate typically increases with temperature over a biologically relevant range.

The “optimal temperature” and why rates stop increasing

Cells do not gain unlimited speed from heating. Reaction rate rises only up to an optimal temperature, beyond which rate declines.

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Reaction rate typically increases with temperature as molecular kinetic energy and collision frequency rise, reaching a maximum at the enzyme’s optimal temperature. Beyond that point, the curve drops sharply, illustrating how heat-driven loss of functional protein structure (denaturation) reduces catalytic efficiency even if collisions remain frequent. Source

Optimal temperature: the temperature at which an enzyme-catalysed reaction proceeds at its maximum rate under a specific set of conditions (pH, substrate concentration, ionic strength, and enzyme amount).

Why there is an optimum

Below the optimum:

  • temperature is limiting because molecules move more slowly

  • fewer enzyme–substrate encounters occur per unit time

At or near the optimum:

  • collision frequency is high

  • a larger proportion of collisions leads to product formation

  • the enzyme’s functional shape is still sufficiently maintained

Above the optimum:

  • heating increasingly disrupts the weak interactions that maintain the enzyme’s functional three-dimensional shape

  • fewer enzyme molecules remain in the most catalytically effective conformation at any moment

  • the rate falls, even if collisions remain frequent, because productive binding and catalysis become less likely

Typical shape of a temperature–rate curve

For many enzymes, a graph of reaction rate vs temperature shows:

  • a gradual (often accelerating) increase at lower temperatures

  • a peak at the optimal temperature

  • a relatively steep decline at higher temperatures

This pattern reflects two competing trends as temperature rises:

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This figure decomposes temperature effects into (1) the intrinsic speeding-up of reaction rates with warming (often summarized by a Q10Q_{10}-like relationship) and (2) the decreasing fraction of properly folded, functional enzyme above a denaturation threshold. Reading these panels together explains why many enzymes show a peak rate at an intermediate temperature rather than a continuous increase. Source

  • a positive effect (more movement and collisions)

  • a negative effect (reduced structural stability and reduced catalytic effectiveness)

Biological implications of the curve

Temperature sensitivity has direct consequences for cell function:

  • Low temperatures slow metabolic pathways because each enzyme-controlled step proceeds more slowly.

  • High temperatures can sharply reduce pathway flux if key enzymes lose functional shape, creating bottlenecks.

  • Different organisms (and different tissues) may have different optima that match their typical environmental or body temperatures.

Quantifying temperature sensitivity (Q10)

Biologists often summarise how strongly rate depends on temperature using a temperature coefficient.

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These curves show how the rate ratio changes with temperature for different Q10Q_{10} values, with markers indicating the factor increase over a 10°C rise. It helps connect the equation to an intuitive picture: higher Q10Q_{10} means a steeper temperature-response over the tested range. Source

Q10=(R2R1)10T2T1 Q_{10} = \left(\dfrac{R_2}{R_1}\right)^{\frac{10}{T_2 - T_1}}

Q10 Q_{10} = factor by which reaction rate changes for a 10C10^\circ\text{C} increase (unitless)

R1 R_1 = reaction rate at temperature T1T_1 (rate units)

R2 R_2 = reaction rate at temperature T2T_2 (rate units)

T1,T2 T_1, T_2 = temperatures in C^\circ\text{C}

A Q10Q_{10} near 2 means the rate roughly doubles for each 10C10^\circ\text{C} increase over the tested range, which is commonly observed for enzyme-mediated processes before structural instability becomes important.

Experimental and interpretive considerations

When interpreting temperature effects on reaction rate, control variables that also influence rate:

  • Enzyme concentration: more enzyme increases maximum possible rate at all temperatures.

  • Substrate availability: if substrate is scarce, warming may not increase rate much because collisions are limited by substrate number, not movement.

  • Time at temperature: brief exposure may show a higher peak rate than prolonged exposure, because extended heat exposure reduces the fraction of functional enzyme.

Measuring rate across a temperature series therefore requires consistent timing, identical starting concentrations, and repeated trials to separate true temperature effects from random variation.

FAQ

They have structural features that increase stability, such as more ionic interactions and hydrophobic packing.

This reduces loss of functional shape at high temperature, shifting the optimum upward.

Different proteins have different amino acid sequences and stability.

Local cellular environments (e.g., compartments with different solute concentrations) can also shift the temperature at which each enzyme performs best.

Cells can alter which enzyme isoforms are expressed and change membrane composition and solute concentrations.

These shifts can change effective enzyme performance across temperatures over days to weeks.

Immediately, faster molecular movement can boost collisions and rate.

Over time, the fraction of enzyme molecules in a functional conformation can decrease, reducing measured rate during longer incubations.

  • Allowing temperature to drift during the assay

  • Using unequal equilibration times at each temperature

  • Evaporation changing concentrations at higher temperatures

  • Measuring at temperatures where substrate becomes limiting, masking true temperature dependence

Practice Questions

Explain why increasing temperature often increases the rate of an enzyme-catalysed reaction up to an optimum. (2 marks)

  • Increased temperature increases kinetic energy/molecular movement (1)

  • More frequent successful enzyme–substrate collisions (1)

A student measures an enzyme’s reaction rate at several temperatures and finds the rate rises from 20C20^\circ\text{C} to 40C40^\circ\text{C}, peaks at 45C45^\circ\text{C}, then drops sharply by 60C60^\circ\text{C}. Explain these results in terms of molecular movement, collisions, and enzyme structure. (5 marks)

  • From 2020 to 40C40^\circ\text{C}: increased kinetic energy increases collision frequency (1)

  • Higher proportion of collisions leads to product formation (1)

  • Peak at 45C45^\circ\text{C} represents the enzyme’s optimal temperature under these conditions (1)

  • Above the optimum, the enzyme’s functional shape becomes less stable due to disrupted weak interactions (1)

  • Fewer effective active sites / reduced formation of enzyme–substrate complexes causes rate to fall despite continued collisions (1)

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