Calibration Curve Calculator
Create calibration curves for analytical chemistry using linear regression, correlation analysis, and concentration calculations.
Enter Calibration Data
Standard Solutions
Results
Enter calibration data to calculate curve parameters
Calibration Curve Theory
Linear Regression
y = mx + b
- • y = Response (signal)
- • x = Concentration
- • m = Slope (sensitivity)
- • b = Intercept (blank)
Quality Parameters
- • R² = Correlation coefficient
- • R = Linear correlation
- • LOD = Limit of detection
- • LOQ = Limit of quantification
Common Analytical Methods
Spectroscopy
- • UV-Vis: Absorbance vs concentration
- • Fluorescence: Intensity vs concentration
- • IR: Peak height vs concentration
- • AAS: Absorbance vs concentration
Chromatography
- • HPLC: Peak area vs concentration
- • GC: Peak area vs concentration
- • IC: Peak height vs concentration
- • TLC: Spot intensity vs concentration
Mass Spectrometry
- • ICP-MS: Counts vs concentration
- • LC-MS: Peak area vs concentration
- • GC-MS: Peak area vs concentration
- • MALDI: Intensity vs concentration
Quality Control Guidelines
Acceptable Ranges
- • R² ≥ 0.995 (excellent)
- • R² ≥ 0.990 (good)
- • R² ≥ 0.980 (acceptable)
- • R² < 0.980 (poor)
Best Practices
- • Use 5-7 calibration points
- • Include blank (zero) point
- • Cover expected range
- • Run in triplicate