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Calculate the absorbance of solutions having twice the percent transmittance of those in Problem 13-2.

Short Answer

Expert verified

a) The absorbance for the percent transmittance of 5.38% is 1.57.

b) The absorbance for the percent transmittance of 0.246 is 0.609.

c) The absorbance for the percent transmittance of 19.7% is 0.705.

d) The absorbance for the percent transmittance of 11.9% is 0.924.

e) The absorbance for the percent transmittance of 0.062 is 1.207.

f) The absorbance for the percent transmittance of 7.9% is 1.102.

Step by step solution

01

Given information

Convert the following transmittance data to absorbances:

(a) 5.38% (d) 23.8%

(b) 0.492 (e) 0.124

(c) 39.4% (f) 15.8%

The relation between the absorbance and transmittance is related by the Beer’s law.

The expression for the Beer’s law is:

A = -log T

Where,

  • A is the absorbance of the solution.

  • T is the transmittance of the solution.

Rearrange the above expression for the percent transmittance.

A=-log%T100..................(1)

Here, A is the absorbance of the solution and T is the transmittance of the solution.

02

Part (a) Step 1: Explanation

Substitute the value in equation 1:

A=-log%T100A=-log2.69100=-log(0.0538)=1.57


The absorbance for the percent transmittance of 5.38% is 1.57.

03

Part (b) Step 1: Explanation

Substitute the value in equation 1:

A=-logT=-log(0.246)=0.609

The absorbance for the percent transmittance of 0.246 is 0.609.

04

Part (c) Step 1: Explanation

Substitute the value in equation 1:

A=-log%T100A=-log19.7100=-log(0.197)=0.705

The absorbance for the percent transmittance of 19.7% is 0.705.

05

Part (d) Step 1: Explanation

Substitute the value in equation 1:

A=-log%T100A=-log11.9100=-log(0.119)=0.924

The absorbance for the percent transmittance of 11.9% is 0.924.

06

Part (e) Step 1: Explanation

Substitute the value in equation 1:

A=-logT=-log(0.062)=1.207

The absorbance for the percent transmittance of 0.062 is 1.207.

07

Part (f) Step 1: Explanation

Substitute the value in equation 1:

A=-log%T100A=-log7.9100=-log(0.079)=1.102

The absorbance for the percent transmittance of 7.9% is 1.102.

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Most popular questions from this chapter

A 2.5-mLaliquot of a solution that contains 6.4ppm iron(III) is treated with an appropriate excess of KSCNto form the Fe(SCN)2+complex and diluted to 50.0mL. What is the absorbance of the resulting solution at 580nm in a 2.50-mLcell? See Problem 13.8for absorptivity data.

Why does a deuterium lamp produce a continuum rather than a line spectrum in the UV?

The following questions concern the relative concentration uncertainty in spectrophotometry.

(a) If the relative concentration uncertainty is given by Equation 13-13, use calculus to show that the minimum uncertainty occurs at 36.8%T. What is the absorbance that minimizes the concentration uncertainty? Assume that sTis independent of concentration.

(b) Under shot-noise-limited conditions, the relative concentration uncertainty is given by Equation 13-14. Another form of the equation for the shot-noise-limited case is 13

scc=-kT-1/2InT

where kis a constant. Use calculus and derive the transmittance and absorbance that minimize the concentration uncertainty.

(c) Describe how you could experimentally determine whether a spectrophotometer was operating under Case I, Case II, or Case III conditions.

Express the following absorbances in terms of percent transmittance:

(a) 0.042

(b)0.917

(c) 0.245

(d) 0.379

(e) 0.435

(f)0.513

A compound Xis to be determined by UV-visible spectrophotometry. A calibration curve is constructed from standard solutions of Xwith the following results: 0.50ppm, A=0.24; 1.5ppm, A=0.36; 2.5ppm, A=0.44;3.5ppm,A=0.59;4.5ppm,A=0.70. A solution of unknown Xconcentration had an absorbance of A=0.50. Find the slope and intercept of the calibration curve, the standard error in Y, the concentration of the solution of unknown X concentration, and the standard deviation in the concentration of X. Construct a plot of the calibration curve and determine the unknown concentration by hand from the plot. Compare it to that obtained from the regression line.

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