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Time Units and Conversions
- 1 minute = 60 s; 1 hour = 3,600 s; 1 day = 86,400 s
- 1 year ≈ 365.25 days = 31,557,600 s
- 1 ms = 10⁻³ s; 1 μs = 10⁻⁶ s; 1 ns = 10⁻⁹ s
Half-Life and Doubling Time
For exponential decay: N(t) = N₀ × e^(−kt); half-life t₁/₂ = 0.693/k. For exponential growth: N(t) = N₀ × e^(rt); doubling time t_d = 0.693/r. Same formula — growth vs. decay context.
Biological Timescales
- Action potential: ~1 ms
- Heartbeat cycle: ~0.8 s (75 bpm)
- E. coli generation: ~20 min
- Mammalian cell cycle: ~24 h
- Human gestation: ~280 days
Glossary
Frequently Asked Questions
Since 1967, the SI second is defined as exactly 9,192,631,770 cycles of the radiation from the hyperfine transition of ground-state cesium-133 atoms. This makes cesium atomic clocks the primary time standards — modern ones are accurate to ~1 second in 300 million years. Before 1967, the second was defined as 1/86,400 of a mean solar day. The atomic definition is more reproducible and doesn't depend on Earth's irregular rotation.
Key conversions: 1 min = 60 s; 1 h = 3,600 s; 1 day = 86,400 s; 1 year ≈ 31,557,600 s. Examples: 2.5 hours = 2.5 × 3,600 = 9,000 s. 150 min = 150/60 = 2.5 h. For sub-second: 1 ms = 10⁻³ s; 1 μs = 10⁻⁶ s; 1 ns = 10⁻⁹ s. Rate constant units encode the time dimension: first-order reaction k in s⁻¹; second-order in M⁻¹s⁻¹.
For exponential decay: N(t) = N₀ × e^(−kt); half-life t₁/₂ = ln(2)/k = 0.693/k. After n half-lives: fraction remaining = (1/2)^n. For exponential growth: N(t) = N₀ × e^(rt); doubling time t_d = 0.693/r. Example: drug with t₁/₂ = 4 hours; after 24 hours = 6 half-lives: fraction remaining = (1/2)^6 = 1/64 ≈ 1.6%.
Understanding time scales guides experiment design: Bacterial: check OD₆₀₀ every 30 min during exponential growth (generation 20–60 min). Cell culture: passage every 2–3 days (mammalian cell cycle ~24 h). Drug response: sample at expected Tmax (1–4 h for oral drugs). Western blot: primary antibody overnight at 4°C ensures equilibrium binding. Mismatching experimental time points to biological processes is a common source of variable results.