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Calibration Curve Formula:
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The calibration curve formula (y = mx + c) is a linear equation used to establish a relationship between measured signals (y) and known concentrations (x) in analytical chemistry. It's essential for quantitative analysis.
The calculator uses the linear calibration equation:
Where:
Explanation: The equation describes a straight line where 'm' represents the sensitivity of the measurement and 'c' represents the background signal when no analyte is present.
Details: Calibration curves are fundamental in analytical chemistry for converting instrument signals into meaningful concentration values. They are used in spectroscopy, chromatography, electrochemical analysis, and other quantitative techniques.
Tips: Enter the slope (m) from your calibration curve, the x value (concentration or quantity you want to calculate for), and the intercept (c). The calculator will compute the corresponding y value (instrument response).
Q1: How do I determine the slope (m) and intercept (c)?
A: These are typically determined by performing linear regression on standard measurements with known concentrations.
Q2: What is the ideal R² value for a calibration curve?
A: For most analytical methods, R² should be ≥0.99, indicating excellent linearity.
Q3: Can this calculator be used for non-linear calibration?
A: No, this calculator is specifically for linear calibration curves. Non-linear relationships require different models.
Q4: How many standard points are needed for a good calibration?
A: Typically 5-8 standard points across the expected concentration range are recommended.
Q5: Should I force the curve through zero?
A: Only if you have validated that your method truly has zero response at zero concentration. Most methods have some background signal.