Q.57 A binary mixture of benzene and toluene under vapour-liquid equilibrium at 80 oC follows ideal Raoult’s law. At this condition, the saturation pressures of benzene and toluene are 101 kPa and 40 kPa, respectively. If the mole fraction of benzene in the liquid phase is 0.6, the corresponding mole fraction of benzene in the vapour phase will be _______. (Round off to two decimal places)

Q.28 If the doubling time of a bacterial population is 3 hours, then its average specific
growth rate during this period is _____ h-1.
(Round off to two decimal places)

Doubling time relates inversely to specific growth rate in bacterial populations and is calculated using the natural logarithm of 2.
For a doubling time of 3 hours, the average specific growth rate is 0.23 h⁻¹.

Core Formula and Answer

Bacterial growth follows exponential kinetics:

Nt = N0 eμt

where μ is the specific growth rate (h⁻¹).
Doubling time (td) occurs when:

Nt = 2N0

Solving gives:

td = ln(2) / μ
or
μ = ln(2) / td

For td = 3 hours:

ln(2) ≈ 0.693

μ = 0.693 / 3 = 0.231 h⁻¹ ≈ 0.23 h⁻¹

This calculation follows microbiology standards and is more accurate than approximations such as the Rule of 70.

Explanation of Calculation Steps

  1. Identify the doubling time: td = 3 h
  2. Apply the formula: μ = 0.693147 / 3
  3. Calculate: μ = 0.231049 h⁻¹
  4. Round to two decimals: 0.23 h⁻¹

Common error: Using base-10 logarithms:
log102 / td gives ~0.10 h⁻¹, which is incorrect for natural exponential growth models.

Common Options and Why They Are Incorrect

Option Value (h⁻¹) Reason Incorrect
A 0.10 Uses common logarithm: log10(2) / 3 ≈ 0.10
B 0.23 Correct: ln(2) / 3
C 0.69 Equals ln(2) only; ignores division by doubling time
D 2.00 Incorrect inverse or misapplied Rule of 72

Applications in Microbiology

The specific growth rate (μ) quantifies microbial growth during the exponential phase in batch cultures.
It is essential for:

  • Bioreactor design
  • Antibiotic and stress-response studies
  • Modeling microbial inoculants in plant and rhizosphere research

Experimentally, μ can be verified from the slope of a ln(N) vs. time plot.

 

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