In lab, you will be participating in a study we have performed in previous semesters, analyzing beer. Samples of beer were measured for residual iron contamination. A calibration curve was made up using solutions of Fe(NO3)2 that were carefully made to accurate yield Fe concentrations given in the attached excel spreadsheet. Note that concentratiens are given in units of micrograms/Liter (* parts-per-billion by mass). Using the given calibration curve data, determine the concentration of Fe in each of indicated beers. Since there are three replicates of each calibration point and of each sample, you should use the average value of the three measurements for each sample. You do not need to be concerned about error analysis or experimental uncertainty in this particular problem.

Fundamentals Of Analytical Chemistry
9th Edition
ISBN:9781285640686
Author:Skoog
Publisher:Skoog
Chapter6: Random Errors In Chemical Analysis
Section: Chapter Questions
Problem 6.16QAP
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Am i doing right on this?? Or wrong? (Determining conc of unknown using calibration curve)
9 Merge & Center v
$ v % 9
Conditional Form
Formatting as Ta
16
fx
C
F
H
J
K
M
Sample Name Iron
Replicate 1 Replicate 2
Replicate 3 average
absorbance
cocentration
(micrograms
Aiter)
1
2 Blank
3 10 ug/L Fe
4 100 ug/L Fe
5 500 ug/L Fe
6 1000 ug/L Fe
7 Bud Light
8 Juicy Haze
9 Landshark Sh to be determined
10 Leinenkugel to be determined
0.0
158.8591
307.6801
156.8378
309.6222
895.1578
159.3128
308.7295
158.3365667
10.0
308.6772667
894.8291667
0.289923422
.0
893.4536
100
500.0
1000.0
to be determined
to be determined
895.8761
0.752158908
2984,987
5962.917
2931.439
2971.704
2962.71
1.27210792
5925,558
6029.956
1.5765975
1.283142283
5972.810333
3054.931
3038.327
3023,591
3038.949667
112.7512
113.222
113.1685
113.0472333
-0.146321285
226.8524
226.6448
212.4527
226.6448
226.714
0.155897116
213.4358
212.1578
212.6821
0.128149716
11
12
13
14
15
Chart Title
16
2
17
18
y= 0.0014x + 0.3275
R =0,8415
18
19
1.6
20
1.4
21
12
22
1
23
24
0.8
25
0.6
26
0.4
0.4
27
02
28
29
30
0.0
200.0
400.0
600.0
800.0
1000.0
1200.0
31
32
33
34
35
36
37
38
39
40
41
42
Transcribed Image Text:9 Merge & Center v $ v % 9 Conditional Form Formatting as Ta 16 fx C F H J K M Sample Name Iron Replicate 1 Replicate 2 Replicate 3 average absorbance cocentration (micrograms Aiter) 1 2 Blank 3 10 ug/L Fe 4 100 ug/L Fe 5 500 ug/L Fe 6 1000 ug/L Fe 7 Bud Light 8 Juicy Haze 9 Landshark Sh to be determined 10 Leinenkugel to be determined 0.0 158.8591 307.6801 156.8378 309.6222 895.1578 159.3128 308.7295 158.3365667 10.0 308.6772667 894.8291667 0.289923422 .0 893.4536 100 500.0 1000.0 to be determined to be determined 895.8761 0.752158908 2984,987 5962.917 2931.439 2971.704 2962.71 1.27210792 5925,558 6029.956 1.5765975 1.283142283 5972.810333 3054.931 3038.327 3023,591 3038.949667 112.7512 113.222 113.1685 113.0472333 -0.146321285 226.8524 226.6448 212.4527 226.6448 226.714 0.155897116 213.4358 212.1578 212.6821 0.128149716 11 12 13 14 15 Chart Title 16 2 17 18 y= 0.0014x + 0.3275 R =0,8415 18 19 1.6 20 1.4 21 12 22 1 23 24 0.8 25 0.6 26 0.4 0.4 27 02 28 29 30 0.0 200.0 400.0 600.0 800.0 1000.0 1200.0 31 32 33 34 35 36 37 38 39 40 41 42
2. In analytical measurements based on emission spectroscopy (such as fluorescence
measurements and atomic emission spectroscopies), the signal being measured (e.g.,
intensity of light emitted) is strongly dependent on the design of the instrument used. As a
result, conversion of measured intensities to concentrations relies on the use of calibration
curves that have to be made and run each time, along with measurement of the actual
samples of interest. Calibration curves are usually run on a daily basis, and sometimes even
more frequently.
In lab, you will be participating in a study we have performed in previous semesters, analyzing
beer. Samples of beer were measured for residual iron contamination. A calibration curve was
made up using solutions of Fe(NO3)2 that were carefully made to accurate yield-Fe
concentrations given in the attached excel spreadsheet. Note that concentrations are given in
units of micrograms/Liter (* parts-per-billion by mass). Using the given catibration curve data,
determine the concentration of Fe in each of indicated beers. Since there are three replicates of
each calibration point and of each sample, you should use the average value of the three
measurements for each sample. You do not need to be concerned about error analysis or
experimental uncertainty in this particular probtem.
Transcribed Image Text:2. In analytical measurements based on emission spectroscopy (such as fluorescence measurements and atomic emission spectroscopies), the signal being measured (e.g., intensity of light emitted) is strongly dependent on the design of the instrument used. As a result, conversion of measured intensities to concentrations relies on the use of calibration curves that have to be made and run each time, along with measurement of the actual samples of interest. Calibration curves are usually run on a daily basis, and sometimes even more frequently. In lab, you will be participating in a study we have performed in previous semesters, analyzing beer. Samples of beer were measured for residual iron contamination. A calibration curve was made up using solutions of Fe(NO3)2 that were carefully made to accurate yield-Fe concentrations given in the attached excel spreadsheet. Note that concentrations are given in units of micrograms/Liter (* parts-per-billion by mass). Using the given catibration curve data, determine the concentration of Fe in each of indicated beers. Since there are three replicates of each calibration point and of each sample, you should use the average value of the three measurements for each sample. You do not need to be concerned about error analysis or experimental uncertainty in this particular probtem.
Expert Solution
Step 1

Absorbance and concentration are related as follows:

A = cl

Because of the linear relationship, the graph between absorbance and concentration is a best fit straight line.

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