Qpcr Amplification Efficiency Equation:
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Qpcr amplification efficiency (E) measures how efficiently DNA is amplified during each cycle of quantitative PCR. It is calculated from the slope of the standard curve plotting Ct values against log concentration.
The calculator uses the efficiency equation:
Where:
Explanation: The equation converts the slope of the standard curve into amplification efficiency, where ideal efficiency is 1 (100% amplification per cycle).
Details: Accurate efficiency calculation is crucial for validating qPCR assays, ensuring reliable quantification, and comparing gene expression results across different experiments.
Tips: Enter the slope value (S) obtained from your standard curve. The slope should not be zero as it would make the calculation undefined.
Q1: What is the ideal efficiency value?
A: Ideal efficiency is 1.0 (100%), meaning the DNA doubles every cycle. Acceptable range is typically 0.9-1.1 (90-110%).
Q2: How is the slope obtained?
A: The slope is determined from a standard curve created by plotting Ct values against the logarithm of known template concentrations.
Q3: Why is efficiency important in qPCR?
A: Efficiency affects quantification accuracy. Assays with different efficiencies cannot be directly compared, and efficiency corrections are needed for precise relative quantification.
Q4: What causes poor efficiency?
A: Poor primer design, suboptimal reaction conditions, inhibitor presence, or template degradation can reduce amplification efficiency.
Q5: How often should efficiency be measured?
A: Efficiency should be validated for each primer pair and reaction condition, and re-checked periodically or when changing reagent batches.