Problem 75
Question
Spectrophotometry A solution of a dye was analyzed by spectrophotometry, and the following calibration data were collected. $$\begin{array}{cc} \text { Dye Concentration } & \text { Absorbance }(A) \text { at } 475 \mathrm{nm} \\ \hline 0.50 \times 10^{-6} \mathrm{M} & 0.24 \\ 1.5 \times 10^{-6} \mathrm{M} & 0.36 \\ 2.5 \times 10^{-6} \mathrm{M} & 0.44 \\ 3.5 \times 10^{-6} \mathrm{M} & 0.59 \\ 4.5 \times 10^{-6} \mathrm{M} & 0.70 \\ \hline \end{array}$$ (a) Construct a calibration plot, and determine the slope and intercept. (b) What is the dye concentration in a solution with \(A=0.52 ?\)
Step-by-Step Solution
Verified Answer
The dye concentration is approximately 2.44 x 10⁻⁶ M.
1Step 1: Plot the Calibration Graph
Plot the __Dye Concentration__ on the x-axis and __Absorbance (A)__ on the y-axis. Each pair
data point (Dye Concentration, Absorbance) will be plotted as follows:
- (0.50 x 10⁻⁶ M, 0.24)
- (1.5 x 10⁻⁶ M, 0.36)
- (2.5 x 10⁻⁶ M, 0.44)
- (3.5 x 10⁻⁶ M, 0.59)
- (4.5 x 10⁻⁶ M, 0.70)
Draw a line of best fit through these data points on the graph.
2Step 2: Calculate the Slope and Intercept
Using the line of best fit, apply the equation of a straight line, \[ A = m imes ext{Concentration} + b \]To find the slope (m), select two data points on the line, such as (0.50, 0.24) and (4.5, 0.70). Calculate:\[ m = \frac{(0.70 - 0.24)}{(4.5 - 0.50) \times 10^{-6}} = \frac{0.46}{4 \times 10^{-6}} = 0.115 \]For the intercept (b), use one point and the slope:\[ 0.24 = 0.115 \times 0.50 \times 10^{-6} + b \]\[ b = 0.24 - 0.0575 \times 10^{-6} \approx 0.240 \]
3Step 3: Use the Calibration Equation to Find Unknown Concentration
With the known value of absorbance \(A = 0.52\), plug this into the linear equation to solve for the unknown concentration.\[ 0.52 = 0.115 \times ext{Concentration} + 0.24 \]Rearrange to find:\[ ext{Concentration} = \frac{0.52 - 0.24}{0.115} = \frac{0.28}{0.115} = 2.435 \times 10^{-6} \text{ M} \]
Key Concepts
Calibration PlotBeer-Lambert LawAbsorbance MeasurementsConcentration Determination
Calibration Plot
Creating a calibration plot is an essential part of spectrophotometric analysis. It helps in determining the relationship between absorbance and concentration of a solution. To create such a plot:
- Plot the dye concentration on the x-axis.
- Plot the corresponding absorbance values on the y-axis.
Beer-Lambert Law
The Beer-Lambert Law is fundamental in spectrophotometry. It explains how the concentration of a substance is directly proportional to its absorbance. Mathematically, it is expressed as:\[A = \varepsilon \cdot l \cdot c\]Where:
- \(A\) is absorbance
- \( \varepsilon \) is molar absorptivity (a constant for each substance)
- \(l\) is the path length of the cuvette (usually in cm)
- \(c\) is the concentration of the substance
Absorbance Measurements
Absorbance measurements are the cornerstone of spectrophotometric analysis. This method measures the amount of light absorbed by a solution at a specific wavelength. The absorbance reading reflects how much light does not pass through the solution.
Using the Beer-Lambert Law, one can take the measured absorbance to determine the concentration of a solute in a solution. Always ensure your spectrophotometer is calibrated before taking measurements to enhance accuracy. Each measurement provides a data point which will be crucial in constructing a calibration curve.
Concentration Determination
Determining concentration using a calibration plot involves plugging the absorbance value of an unknown sample into the linear equation derived from the line of best fit:\[A = m \cdot \text{Concentration} + b\]Here, \(m\) is the slope, \(b\) is the intercept, and \(A\) is the known absorbance of the unknown sample.Rearrange the equation to solve for the unknown concentration.This calculated concentration allows us to identify how much of a particular substance is present, making it crucial in applications ranging from chemistry labs to environmental testing.Remember, precise calibration and careful measurements deliver the most accurate concentration values.
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