Before we begin, three tools you will reuse everywhere on this page — each is built from zero in Pseudo-first-order kinetics (the parent), so here we only restate the finished results.
(c) water sits at ≈55.5M while the ester is dilute → excess is automatic → pseudo-first-order. ✔
Recall Solution
A first-order constant multiplies a single concentration, so its units must be s−1. A second-order constant multiplies two concentrations (M×M), so to leave a rate in M s−1 it must carry M−1s−1.
3.0×10−4s−1 → this is k′ (pseudo, first-order units).
3.0×10−4M−1s−1 → this is k (true, second-order units).
Water is the flooded reactant, so [B]0=55.5M. Rearranging k′=k[B]0:
k=[B]0k′=55.52.5×10−4=4.5×10−6M−1s−1.Sanity on units:Ms−1=M−1s−1 ✔ — the true bimolecular units.
Recall Solution
Convert time: t=2×3600=7200s.
Use the exponential form (it hands us concentration directly, no logs needed):
[A]=[A]0e−k′t=0.50e−(6.0×10−5)(7200)=0.50e−0.432.
Now e−0.432=0.649, so
[A]=0.50×0.649=0.325M.
Fraction remaining =0.325/0.50=0.65, i.e. ≈35% reacted. Reasonable for 2 h at this rate.
Recall Solution
t1/2=k′0.693=6.0×10−50.693=1.155×104s≈192.5min.
Because t1/2 contains onlyk′, it is independent of [A]0 — the signature of first-order (and hence pseudo-first-order) kinetics. See Half-life.
Look at the two plots in the figure below. What to observe: the deep-teal curve (Run 2, huge excess) is a perfectly straight descending line, whereas the burnt-orange curve (Run 1, equal concentrations) bends downward and steepens — that bend is the visual tell of genuine second-order behaviour forced onto a ln[A] axis.
Figure: ln[A] versus time for the two runs. Straight teal line = pseudo-first-order (slope =−k′); curving orange line = true second-order. The straightness is the whole diagnostic.
Run 1 curves because both concentrations drop, so the reaction obeys the genuine second-order integrated law, which is not linear on a ln[A] axis.
Run 2 goes straight because [B]0/[A]0=100 freezes [B]; the reaction is isolated to first-order in A (see Method of Isolation).
The straight slope is −k′, so k′=0.050s−1.
k=[B]0k′=1.00.050=0.050M−1s−1.
Overall order =1 (in A) +1 (in B) =second order truly; observed order in Run 2 is first.
Recall Solution
Say [A]0=1 unit, so [B]0=10 units. Reacting half of A consumes 0.5 units of B (one B per one A).
drop in [B]=100.5=0.05=5%.
A 5% wander in the "constant" is already visible on a careful ln[A] plot — it produces a slight curve. So 10× is marginal: fine for a rough estimate, poor for precise k. Aim for ≥50×.
Recall Solution
Compare with ln[A]=ln[A]0−k′t. Matching term by term:
Going from 0.020 to 0.010M is exactly one half-life, so t1/2=231s.
k′=t1/20.693=2310.693=3.0×10−3s−1.
True constant:
k=[H2O]k′=55.53.0×10−3=5.4×10−5M−1s−1.
Reaching 0.0025M from 0.020M is 0.0025/0.020=1/8=(1/2)3 → three half-lives:
t=3×231=693s.
Cross-check with the log law: t=k′1ln0.00250.020=3.0×10−3ln8=3.0×10−32.079=693s ✔.
Recall Solution
Consuming all of A removes [A]0 worth of B. The fractional drift in B is
[B]0[A]0≤0.01⟹[A]0[B]0≥100.
So a 100× excess keeps the error at the 1% level — precisely the textbook threshold. For a looser 2% tolerance, 50× suffices.
Recall Solution
In this low-substrate regime the whole prefactor acts as one first-order constant in [S]:
k′=KMVmax=4.0×10−32.0×10−5=5.0×10−3s−1.t1/2=k′0.693=5.0×10−30.693=138.6s.Why first-order here? With [S]≪KM the enzyme is mostly empty, so doubling [S] doubles the rate — the hallmark of first-order dependence, exactly the pseudo-first-order idea in a new setting.
(a) Compute ln[A]: −4.605,−4.855,−5.104,−5.356. Successive gaps: −0.250,−0.249,−0.252 — constant per equal time step, so ln[A] vs t is a straight line → observed first-order. ✔
Figure: the four plum data points fall on one straight line (teal fit); the orange star is the extrapolated value at t=500s. Equal vertical drops for equal 100s steps confirm first-order behaviour, and the slope reads off −k′.
(b) Slope =−k′=300−0−5.356−(−4.605)=300−0.751=−2.50×10−3s−1, so
k′=2.50×10−3s−1.(c)k=[B]0k′=0.802.50×10−3=3.13×10−3M−1s−1.(d)[A]=[A]0e−k′t=0.0100e−(2.50×10−3)(500)=0.0100e−1.25=0.0100×0.2865=2.87×10−3M.
Recall Solution
[B]0 is essentially unchanged with temperature, so k′∝k, and the unknown factor Acancels in a ratio (this is why we take a ratio — it lets us predict without ever knowing A):
k1′k2′=k1k2=Ae−Ea/RT1Ae−Ea/RT2=exp[−REa(T21−T11)].
With T1=298K,T2=308K:
T11−T21=2981−3081=1.0896×10−4K−1.k1′k2′=exp[8.31450000×1.0896×10−4]=exp(0.6553)=1.93.
So k′ roughly doubles for a 10∘ rise — the classic rule-of-thumb, now derived. New k2′≈1.0×10−3×1.93=1.93×10−3s−1.
Recall Solution
Fold both "constant" species into the apparent constant: k′=k[H2O][H+]. Water is genuinely fixed at 55.5M, so it is not the culprit. The catalyst H+ is regenerated each cycle (a catalyst is not consumed), but the reaction produces acetic acid; if the weak buffer is too dilute to absorb that extra acid, the solution's [H+] slowly rises. Since k′∝[H+], a rising [H+] makes k′ grow with time, and a growing k′ steepens the ln[ester] slope — exactly the observed drift.
Diagnosis: the pseudo-first-order approximation is valid instant-by-instant, but one of the quantities hidden inside k′ (the catalyst, not the solvent) is not truly clamped.
Fix: use a stronger / more concentrated buffer so that the produced acid barely shifts [H+]; then k′ stays constant and the whole run collapses onto a single straight line.