Calibration curve calculator explained
Most analytical instruments deliver a linear response described by . This calculator links {signal}, {sensitivity}, {background}, and {concentration} so you can move from detector units back to real concentrations or troubleshoot whether slope and intercept are drifting.
Use it while processing spectrophotometer runs, ICP-OES assays, or electrochemical sensors so every result flows from the same calibration line.
How the conversion works
Given a measured signal , slope (sensitivity) , and intercept :
The calculator also exposes the forward equation so you can predict signals from planned spikes or QC samples. Because the relationship is linear, doubling the slope doubles signal response for the same concentration.
Units and conversions
| Quantity | Symbol | Typical units | Notes |
|---|---|---|---|
| Signal | absorbance, µA, counts | Whatever the detector outputs. | |
| Sensitivity | signal unit per concentration unit | Derived from regression slope. | |
| Background | signal unit | Captures blank signal. | |
| Concentration | mg/L, ppm, mol/L | Match the standards used. |
Ensure and come from the same calibration fit as the samples you are interpreting.
Worked examples
- UV-Vis assay
Calibration produced and AU. A sample gives AU.
Report 10.7 mg/L and compare against QC limits.
- Predicting spike recovery
Suppose you plan to spike a wastewater sample with 25 µg/L analyte when the calibration has and counts.
If the instrument returns a significantly different signal, recalibrate before reporting data.
Tips and pitfalls
- Refit and whenever R falls below your internal acceptance criteria.
- Always subtract the blank signal using the same matrix as your samples.
- Verify that samples fall within the range of the calibration standards; extrapolation increases uncertainty.
- Track slope and intercept across batches to detect fouled optics or detector drift early.