qPCR Primer Efficiency Formula:
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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 100% means the amount of product doubles with each cycle.
The calculator uses the standard curve method formula:
Where:
Explanation: The slope of the standard curve relates to the efficiency of amplification. An ideal slope of -3.32 corresponds to 100% efficiency.
Details: Knowing primer efficiency is essential for accurate quantification in qPCR experiments. Efficiency between 90-110% is generally considered acceptable.
Tips: Enter the slope value from your standard curve plot (Ct values vs log template concentration). The slope should be negative (typically between -3.1 to -3.6).
Q1: What is an ideal efficiency value?
A: 100% is ideal, but 90-110% is generally acceptable for most applications.
Q2: How do I obtain the slope value?
A: From the standard curve generated by your qPCR software when plotting Ct values against log template concentration.
Q3: What causes poor primer efficiency?
A: Common causes include primer-dimer formation, suboptimal primer design, poor reaction conditions, or template quality issues.
Q4: Can I use this with SYBR Green or probe-based assays?
A: Yes, this calculation applies to both SYBR Green and probe-based qPCR assays.
Q5: What if my efficiency is outside the acceptable range?
A: Consider redesigning your primers, optimizing reaction conditions, or using a different quantification method.