Beer-Lambert Calculator

A free online Beer-Lambert law calculator that solves A = εlc for any unknown variable — absorbance, molar absorptivity, path length, or concentration. Includes DNA/RNA quantification mode with OD260/OD280 purity ratio assessment, common chromophore presets (NADH, pNP, Bradford), and unit conversion — all calculated in your browser.

Chromophore Presets

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What is the Beer-Lambert Law?

The Beer-Lambert Law (A = εlc) describes the linear relationship between absorbance (A) and the concentration (c) of a light-absorbing substance. Here, ε is the molar absorptivity (extinction coefficient) in L/(mol·cm), and l is the optical path length in cm. This law is fundamental in spectrophotometry for quantifying concentrations of DNA, RNA, proteins, and other molecules in solution.

How to Use This Calculator

  1. Select what you want to solve for: absorbance, concentration, path length, or molar absorptivity
  2. Enter the known values in the input fields
  3. Or switch to DNA/RNA Quantification mode for OD-based nucleic acid concentration
  4. Select a chromophore preset if applicable (NADH, pNP, Bradford, etc.)
  5. View the calculated result with step-by-step formula breakdown
  6. Check transmittance (%T) which is automatically calculated from absorbance

Frequently Asked Questions

What is a good A260/A280 ratio for DNA?

For pure DNA, an A260/A280 ratio of ~1.8 is expected. For pure RNA, a ratio of ~2.0 is expected. Lower ratios indicate protein or phenol contamination, while higher ratios may indicate RNA contamination in DNA samples.

What conversion factor should I use for DNA quantification?

The standard conversion factors are: dsDNA = 50 µg/mL per OD260, ssDNA = 33 µg/mL per OD260, RNA = 40 µg/mL per OD260. These assume a 1 cm path length cuvette.

When does the Beer-Lambert Law fail?

The Beer-Lambert Law is valid for dilute solutions (typically A < 1.0). At high concentrations, deviations occur due to molecular interactions. Also, stray light, fluorescence, and light scattering can cause non-linearity.

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