Primer Efficiency Equation:
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Primer efficiency in quantitative PCR (qPCR) refers to the ability of primers to amplify the target sequence during each PCR cycle. An efficiency of 1 (or 100%) means the amount of product doubles with each cycle.
The calculator uses the standard curve slope efficiency equation:
Where:
Explanation: The slope of the standard curve relates to the amplification efficiency. An ideal slope of -3.32 corresponds to 100% efficiency.
Details: Knowing primer efficiency is crucial for accurate quantification in qPCR experiments. Efficiency affects the calculation of relative gene expression and absolute quantification.
Tips: Enter the slope value from your standard curve (typically between -3.0 and -3.6). The calculator will compute the corresponding efficiency.
Q1: What is an acceptable primer efficiency?
A: Typically 90-110% (0.9-1.1) is considered acceptable, with 95-105% being ideal.
Q2: How do I obtain the slope value?
A: Generate a standard curve by running serial dilutions of your template and plot Ct values against the log of template concentration.
Q3: What does a slope of -3.32 mean?
A: This indicates 100% efficiency, where the PCR product exactly doubles each cycle.
Q4: Why might my efficiency be outside the ideal range?
A: Poor primer design, PCR inhibitors, suboptimal reaction conditions, or template issues can affect efficiency.
Q5: Can I use this for absolute quantification?
A: Yes, but you must account for efficiency in your calculations for accurate results.