Beer-Lambert law
Discover the exponential law of light absorption by measuring transmission through an increasing number of translucent sheets.
Why does a stack of tracing paper become increasingly opaque? The answer lies in the Beer-Lambert law: transmitted light decreases exponentially with the thickness of absorbing material. Each sheet absorbs a constant fraction of the light it receives, so the total transmission follows T = exp(-αN). Using the smartphone's light sensor, you can verify this fundamental law of optics with nothing more than a lamp and a stack of paper.
Activity overview:
The student measures illuminance with decreasing numbers of tracing paper sheets and plots ln(T) versus N to verify the exponential Beer-Lambert law.
Level:
High School
FizziQ
Author:
Duration (minutes) :
25
What students will do :
- Measure luminous illuminance with the smartphone lux meter
- Calculate an optical transmission coefficient
- Experimentally verify the Beer-Lambert law
- Plot and interpret a ln(T) versus N graph
- Understand exponential decay in the context of light absorption
Scientific concepts:
- Light absorption
- Optical transmission
- Beer-Lambert law
- Exponential decay
- Absorbance
- Absorption coefficient
- Spectrophotometry
Sensors:
- Light sensor (lux meter)
Material needed:
- Smartphone or tablet with FizziQ
- A constant light source (LED desk lamp or second phone's flash)
- 8-10 sheets of tracing paper
- A darkened room
Experimental procedure:
Set up in a dark room or close the curtains. Ambient light is the main source of error.
Place a constant light source (LED desk lamp or a second phone's flash) about 30 cm above the smartphone's light sensor.
Open FizziQ and select the Brightness (lux meter) instrument. Place the smartphone flat, sensor facing up.
Record the brightness with no sheets: this is I₀, the reference incident intensity.
Place a first sheet of tracing paper on the sensor. Record I₁. Add a second sheet. Record I₂. Continue up to 8-10 sheets.
For each measurement, note the number of sheets N and the brightness I(N).
Calculate the transmission coefficient T(N) = I(N)/I₀ for each N.
Plot T versus N: you obtain an exponentially decreasing curve.
Plot ln(T) versus N: if the Beer-Lambert law holds, you obtain a straight line with slope -α, where α is the absorption coefficient per sheet.
The law is written: T(N) = exp(-αN), or equivalently I(N) = I₀ × exp(-αN). Calculate α and compare between different types of sheets.
Expected results:
The brightness visibly decreases with each sheet, but the relative decrease is constant. The graph of ln(T) versus N is a straight line with negative slope, confirming the exponential law. The linearity of ln(T) is typically excellent (R² > 0.98). Typical transmission per sheet: 82-92% for tracing paper, 40-60% for colored plastic, 95-98% for clear glass.
Scientific questions:
- Why does transmission decrease exponentially rather than linearly with the number of sheets?
- What happens if the sheets are not all identical?
- How is this experiment related to spectrophotometry in chemistry?
- What is the difference between absorbance and transmittance?
- Could you use this method to measure the concentration of a colored solution?
- Why is ambient light the main source of error?
Scientific explanations:
The Beer-Lambert law describes the exponential attenuation of light passing through a material: I = I₀ × exp(-αcx), where α is the absorption coefficient, c the concentration, and x the thickness.
Here, each sheet adds a constant thickness, so x = N × d, where N is the number of sheets and d the thickness of one sheet. The transmission simplifies to T = exp(-α'N) where α' = αd.
The exponential model means that each sheet absorbs a constant fraction of the light it receives, not a constant amount. If one sheet transmits 85%, two transmit 0.85² = 72%, three transmit 0.85³ = 61%, etc.
For standard tracing paper, the absorption coefficient is α ≈ 0.08 to 0.15 per sheet, corresponding to a transmission of about 85-92% per sheet.
The plot of ln(T) versus N should give a straight line of slope -α. The quality of the linear fit (R² > 0.99) confirms the exponential model.
This experiment naturally leads to spectrophotometry: by replacing the sheets with colored solutions of increasing concentration, one verifies Beer-Lambert as a function of concentration c.
The main source of error is stray ambient light. A dark background and a stable source are essential for reliable measurements.
Extension activities:
- Why does transmission decrease exponentially rather than linearly with the number of sheets?
- What happens if the sheets are not all identical?
- How is this experiment related to spectrophotometry in chemistry?
- What is the difference between absorbance and transmittance?
- Could you use this method to measure the concentration of a colored solution?
- Why is ambient light the main source of error?
Frequently asked questions:
Q: iOS restricts access to the light sensor.
R: On iOS, FizziQ can use the camera as a brightness sensor. On Android, the native sensor is directly accessible.
Q: The readings fluctuate even with a stable light source.
R: LED lamps powered by AC may flicker at 50/60 Hz. Use a DC-powered LED or a battery-operated flashlight for stable readings.
Q: My ln(T) graph is not perfectly straight.
R: Check for ambient light leaking in. Also ensure the sheets are positioned consistently, fully covering the sensor.
Q: How many sheets do I need for a convincing result?
R: At least 6-8 sheets. With fewer, random errors dominate and the exponential trend may not be clear.