The most advanced analytical tool for spectrophotometry. Calculate metrics for pure samples or perform regression analysis on complex experimental datasets.
Enter values separated by spaces, commas, or new lines.
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10^5 means 10510*1 means 10 multiplied by 1.1.8e-5 means 1.8 × 10-5The Beer-Lambert Law is the fundamental equation for UV-Vis spectrophotometry. In clinical environments, it is used to measure blood metabolites. In forensic labs, it identifies toxic substances. The accuracy of these measurements depends on the Molar Absorptivity ($\epsilon$), which varies based on solvent, pH, and temperature.
The Regression Analysis tab uses the least-squares method to minimize the sum of the squares of the vertical deviations. An $R^2$ value close to $1.0000$ indicates a highly reliable calibration curve, essential for minimizing uncertainty in analytical results.
Example 1: Unknown from Calibration
If your regression is $y = 1250x + 0.005$ and your unknown sample reads $A = 0.505$:
$x = (0.505 - 0.005) / 1250 = 0.0004 \, M$.
Example 2: Molar Extinction
A $0.001 M$ solution shows $A = 1.5$ in a $1cm$ cuvette.
$\epsilon = 1.5 / (0.001 \times 1) = 1500 \, L \cdot mol^{-1} \cdot cm^{-1}$.