Specific Growth Rate Calculator
Calculate microbial or cell culture kinetics from exponential growth data
Calculation Results:
How to Calculate Specific Growth Rate from a Growth Curve
In microbiology and fermentation technology, the specific growth rate (μ) is a fundamental parameter that describes the increase in biomass per unit of time. It is most accurately measured during the exponential (log) phase of growth, where the population increases at a constant rate relative to the existing population.
The Specific Growth Rate Formula
The relationship between biomass and time during the log phase is defined by the following mathematical formula:
Where:
- μ = Specific growth rate (expressed in time-1, e.g., hr-1)
- N1 = Population or biomass at the start of the observation period
- N2 = Population or biomass at the end of the observation period
- t1 = Starting time
- t2 = Ending time
- ln = Natural logarithm (base e)
Doubling Time and Generations
Once the specific growth rate is known, you can calculate the Doubling Time (td), which is the time required for the population to double in size. The formula is:
Practical Example Calculation
Suppose you are monitoring a bacterial culture. At hour 2 (t1), the optical density (OD600) is 0.15 (N1). At hour 6 (t2), the optical density has increased to 1.20 (N2).
- Calculate the time interval: 6 – 2 = 4 hours.
- Calculate the log difference: ln(1.20) – ln(0.15) = 0.182 – (-1.897) = 2.079.
- Divide the log difference by time: 2.079 / 4 = 0.519 hr-1 (μ).
- Calculate doubling time: 0.693 / 0.519 = 1.33 hours.
Why This Matters in Bioprocessing
Calculating the specific growth rate allows researchers to compare the fitness of different strains, optimize culture media, and determine the best time to harvest cells or induce protein expression. A high specific growth rate generally indicates favorable environmental conditions and efficient nutrient utilization.