qPCR Efficiency Formula:
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Definition: This calculator determines the amplification efficiency of a qPCR reaction based on the slope of the standard curve.
Purpose: It helps molecular biologists assess the performance of their qPCR assays, which is crucial for accurate quantification.
The calculator uses the formula:
Where:
Explanation: The slope of the standard curve is determined from the plot of Ct values versus the log of template concentration. The efficiency is then calculated from this slope.
Details: Ideal qPCR efficiency is 100% (Eff = 1), meaning the amount of product doubles each cycle. Efficiency between 90-110% is generally acceptable.
Tips: Enter the slope of your standard curve (typically between -3.1 to -3.6 for good efficiency). The calculator will provide both decimal and percentage efficiency values.
Q1: What is an ideal slope value?
A: The ideal slope is -3.32, which corresponds to 100% efficiency. This means the PCR product doubles exactly each cycle.
Q2: What slope range is acceptable?
A: Slopes between -3.1 to -3.6 typically indicate efficiencies between 90-110%, which are generally acceptable.
Q3: What does low efficiency indicate?
A: Low efficiency (<90%) may indicate PCR inhibition, poor primer design, or suboptimal reaction conditions.
Q4: What does high efficiency indicate?
A: Efficiency >110% may indicate pipetting errors, contamination, or non-specific amplification.
Q5: How do I determine the slope?
A: The slope is obtained from the standard curve plot generated by your qPCR software when using serial dilutions of a known template.