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Questions

1. Convert %T to absorbance and prepare a Beer’s Law plot using this data.

Concentration of Various Samples

Sample Identification

Code

Concentration of M

(mol/L)

%T

A = 2 - log(%T)

Q5000

4.00 x 10-4

17.9

Q5001

3.20 x 10-4

25.0

Q5002

2.40 x 10-4

35.7

Q5003

1.60 x 10-4

50.2

Q5004

8.000 x 10-5

70.8

38

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Questions

3. What is the concentration of M in these samples?

Concentration of M

Sample Identification

Code

%T

A = 2 - log(%T)

A

M

Q021015-01

43.7

0.35951856

0.36

0.000192

Q021015-02

44.1

0.35556141

0.36

Q021015-03

43.8

0.35852589

0.36

Q021015-04

44.1

0.35556141

0.36

Q021015-05

43.8

0.35852589

0.36

4. What was their percent error?

5. Does Batch 021015 meet legal requirements?

Exercise 2

Observations

Data Table 1: Concentrations of Blue Dye

Well #

1

2

3

4

5

6

7

8

9

10

Drops of Blue Dye Solution

1

2

3

4

5

6

7

8

9

10

Drops of Distilled Water

9

8

7

6

5

4

3

2

1

0

Calculated Concentration

Exercise 3

Observations

(Only if colorimeter is used in this experiment.)

Data Table 2: Dilution

Test tube

Number

Solutions

Concentration

(M)

Concentration

(ppm)

3

Starting dilution (100 mL water and drops of blue#1 dye)

2

1:1 Dilution (1 part water - 1 part starting dye solution)

1

2:1 Dilution (2 parts water - 1 part starting dye solution)

0

Zero standard – distilled water

0

0

Data Table 3: Resistance vs. Concentration

Zero standard

2:1 standard

1:1 standard

Original

dilution

Commercial drink sample

Concentration (M)

0

Concentration (ppm)

Resistance, Ω

Resistance, Ω

Average Resistance, Ω

Exercise 3

Questions

Fully discuss answers to the following questions. Yes or No responses are not sufficient. A. Was your calibration curve as linear as you expected?

B. Did you experience any “drift” of the resistance readings?

C. What is the equation of your best-fit line?

D. What commercial drink did you analyze?

E. Assuming that the same commercial drink was analyzed in both colorimetry methods, how did the results compare?

F. Which technique should give more accurate results?

G. What are some of the potential sources for errors in this experiment