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0 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
1 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
2 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Contents
1. Beer-Lambert’s Law
1A. Plotting and Using Concentration vs Absorbance Graph
1.B. Determining unknown [Analyte] using one Standard
1C. Two Analyte Forms, One Wavelength
1D. Two Analytes, Two Wavelength
2. (External) Standard Addition Methods
2A. Single Aliquot Standard Addition
2B. Multiple Aliquots Standard Addition
3 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
1. Beer-Lambert’s Law
Many molecules including organic molecules with conjugated bonds system and
transition metals give distinct absorption spectra in the UV-VIS region. The wavelength at
which an analyte absorbs maximum light, and subsequently the highest absorption peak
of the spectrum is observed, is denoted by its max. Among the hundreds of wavelengths
() absorbed by the analyte, the spectrophotometry readings are taken at max to
maximize the absorption intensity and minimize other absorption interferences by the
solution matrix. The sample solution is often read against a suitable blank (distilled water,
solvent or reagent blank) to minimize matrix interferences, too.
Three factors, namely concentration, pathlength and extinction coefficient proportionally
affect the absorbance of an analyte. At a specified temperature, the absorption of light by
the analyte generally increases with its concentration in a certain range. Greater is the
concentration, greater would be the number of analyte molecules in a fixed volume of
solution to absorb the light- thus, greater would be absorption. Absorption also increases
with pathlength- the distance that the incident light travels through the solution.
Increasing the pathlength for a solution, say from 1 to 2 cm while keeping the cross-
section constant, increases the volume of solution, and in turn, the number of analyte
molecules. Increased number of analyte molecules further yield increased absorption. The
third factor, extinction coefficient or absorptivity, also affects absorption proportionally
but remains unaffected of the previous two factors. It is the temperature-dependent
intrinsic property of the analyte and is the proportionality constant of the Beer-Lambert’s
law equation.
When light from a monochromatic light source of Incident intensity I0 passes through a
solution, some of it is absorbed, scattered and/or reflected by the analyte of interest as
well as the all other components of the solution. The remaining light with a transmitted
intensity I comes out of the solution as transmitted light. The ratio of I to I0 is called
transmittance of the solution. The detector of a UV-VIS spectrophotometer reads %
transmittance of a solution. However, transmittance does not exhibit linearity with the
concentration of the analyte in solution. Instead, the analyte concentration in solution
exhibits linearity with its absorbance.
Transmittance (T) and absorbance (A) are related to the following equations-
Transmittance, T = % Transmittance = x 100
Absorbance, A = -log10 Absorbance, A = log10 = -log10 T
I
I0 I0
I
I
I0
1
T
4 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Absorbance, A = log10 Absorbance, A = 2 – log10 %T
Beer law or Beer-Lambert’s law states that the absorbance of a solution is proportional to
its concentration and pathlength. Mathematically,
Absorbance, A C L
And, A = C L - Equation 1
where,
= absorptivity at specified wavelength and temperature (M-1cm-1)
L = path length (in cm)
C = molar concentration of the solute
Though the standard unit of is M-1 cm-1, it can be presented in any unit depending on
the combinations of units of concentration and pathlength. Similarly, different units of
concentration can be used as required. When the unit of concertation is molarity, the
absorptivity or absorption coefficient is termed molar absorptivity or molar absorption
coefficient.
Example 1: A solution of 2.1043 x 10-4 M indophenol gives absorbance of 0.379 in a 1.00
cm cuvette. Calculate the molar absorptivity, of indophenol.
Ans. Given-
C = 2.1043 x 10-4 M ; A = 0.379
L = 1.0 cm
Now, putting the values in Beer-Lambert’s Law equation, A = C L
= A / CL = 0.379 / (2.1043 x 10-4 M x 1.0 cm) = 1.8011 x 103 M-1 cm-1
Example 2: The molar absorptivity, of indophenol under these experimental conditions
is 1.8011 x 103 M-1 cm-1. What is the expected absorbance of a 2.1043 x 10-4 M indophenol
solution through a 10 mm cuvette?
Ans. Given-
C = 2.1043 x 10-4 M ; = 1.8011 x 103 M-1 cm-1
L = 10 mm = 1.0 cm
Now, putting the values in Beer-Lambert’s Law equation, A = C L
A = 1.8011 x 103 M-1 cm-1 x 2.1043 x 10-4 M x 1.0 cm = 0.379
Example 3: The molar absorptivity, of indophenol under these experimental conditions
is 1.8011 x 103 M-1 cm-1. What is the expected concentration of indophenol solution if its
absorbance is 0.379 through a 10 mm cuvette?
% T
100
5 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Ans. Given-
= 1.8011 x 103 M-1 cm-1 ; A = 0.379
L = 10 mm = 1.0 cm
Now, putting the values in Beer-Lambert’s Law equation, A = C L
C = A / L = 0.379 / (1.8011 x 103 M-1 cm-1 x 1.0 cm) = 2.1043 x 10-4 M
Example 4: The molar absorptivity, of indophenol under these experimental conditions
is 1.8011 x 103 M-1 cm-1. What is the pathlength for a 2.1043 x 10-4 M indophenol solution
that gives an absorbance of 0.379.
Ans. Given-
C = 2.1043 x 10-4 M ; = 1.8011 x 103 M-1 cm-1
A = 0.379
Now, putting the values in Beer-Lambert’s Law equation, A = C L
L = A / C = 0.379 / (1.8011 x 103 M x 2.1043 x 10-4 M) = 1.00 cm
Example 5: A student wishes to measure the iron content in well water. She prepares a
7.64 x 10-4 M standard Fe3+ solution. An 11.0 mL aliquot of this standard solution is treated
with an excess of HNO3 and KSCN to form a red complex and subsequently diluted to
55.0 mL. The absorbance of this diluted reference or standard solution is read in a cell of
1.00 cm pathlength.
A 20.0 mL sample of the well water is also treated with an excess of HNO3 and KSCN to
form a red complex and subsequently diluted to 100.0 mL. This diluted sample is placed
in a variable pathlength cell. The absorbance of the sample solution at a pathlength of
2.15 cm exactly matches that of the reference solution at a pathlength of 1.00 cm. What
is the concentration of iron in the well water?
Ans. Beer-Lambert’s Law, A = C L
where,
A = Absorbance
= molar absorptivity at the specified wavelength (M-1cm-1)
L = path length (in cm)
C = Molar concentration of the solute
Note that the extinction coefficient is a constant for the specified (red) complex under
specified experimental conditions. Since both the standard and well water is treated in
the same way (reaction) and remains constant.
Step 1: Preparation of working reference aliquot: 11.0 mL standard solution with 7.64 x
10-4 M Fe3+ is diluted up to a final volume of 55.0 mL.
6 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Using C1V1 (standard solution) = C2V2 (diluted reference solution)
Or, 7.64 x 10-4 M x 11.0 mL = C2 x 55.0 mL
Or, C2 = (7.64 x 10-4 M x 11.0 mL) / 55.0 mL = 1.5820 x 10-4 M
Hence, [Fe3+] in the reference solution = 1.5820 x 10-4 M
Step 2: For the simplicity of expression, we label the standard/ reference solution as
solution 1. The well water is labelled 2. The final working solution whose absorbances are
taken are referred as aliquot of the respective solutions.
Now,
Abs of standard aliquot, A1 = 1 x (1.5820 x 10-4 M x 1.00 cm) - equation 1
Abs of well water aliquot, A2 = (C2 x 2.15 cm) - equation 2
Where, C2 = concentration of Fe in the well water
Given, A1 = A2. So, equating equations 1 and 2-
1 x (1.5820 x 10-4 M x 1.00 cm) = (C2 x 2.15 cm)
Also note that remains constant. So, 1 = 2
Or, 1.5820 x 10-4 M x 1.00 cm = C2 x 2.15 cm
Hence, C2 = (1.5820 x 10-4 M x 1.00 cm) / 2.15 cm = 7.1070 x 10-5 M
Hence, [Fe3+] in final working well water aliquot = 7.1070 x 10-5 M
Step 3: Calculating [Fe3+] in original well water: Given, 20.0 mL well water is diluted up to
100.0 mL.
Again, using C1V1 (original well water) = C2V2 (well water aliquot)
Or, C1 x 20.0 mL = 7.1070 x 10-5 M X 100.0 mL
Or, C1 = (7.1070 x 10-5 M X 100.0 mL) / 20.0 mL = 3.5535 x 10-4 M
Therefore, [Fe3+] in original well water sample = 3.5535 x 10-4 M
Example 6: The iron content of a well water sample is determined by UV-VIS
spectroscopy. A 10.0 mL aliquot of well water is transferred to a 100.0 mL volumetric flask
and 20 mL of 0.10 M nitric acid is added to oxidized Fe2+ to Fe3+. Next 30 mL of a 0.1 M
sodium thiocyanate solution is added to form the deep red complex of Fe(III) thiocyanate.
The solution is diluted to the mark with distilled water. A reagent blank is similarly
prepared. If the absorbance of the Fe(III) thiocyanate solution is 0.5483 and the reagent
blank is 0.0282, calculate the concentration of iron for the water sample. The molar
absorptivity for Fe(III) thiocyanate is 3200 M-1 cm-1. Assume a pathlength of 1 cm and the
complete reaction with the thiocyanate is-
Fe3+(aq) + SCN-(aq) ----------> FeSCN2+(aq)
Ans. Step 1: Calculate [Fe] in the 100.0 mL solution
7 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Actual absorbance of the solution = Observed absorbance – Absorbance of the blank
= 0.5483 – 0.0282 = 0.5201
Putting the values in the Beer-Lambert’s Law, A = C L
0.5201 = 3200 M-1 cm-1 x C x 1.00 cm
Or, C = 0.5201 / (3200 M-1 cm-1 x 1.00 cm) = 1.6253 x 10-4 M
Hence, [FeSCN2+] in the solution, C = 1.6253 x 10-4 M
Following the stoichiometry of the balanced reaction, 1 mol Fe3+ forms 1 mol FeSCN2+.
So, [Fe] in the solution must be equal to [FeSCN2+].
Hence, [Fe] in the solution = 1.6253 x 10-4 M
Step 2: Calculate [Fe] in the well water sample
Given- 10.0 mL aliquot of the well water sample is diluted to a final volume of 100.0 mL.
From step 1, [Fe] in the 100.0 mL solution is 1.6253 x 10-4 M.
Now, using C1V1 (well water sample) = C2V2 (100 mL solution)
Or, C1 x 10.0 mL = 1.6253 x 10-4 M x 100.0 mL
Or, C1 = (1.6253 x 10-4 M x 100.0 mL) / 10.0 mL = 1.6253 x 10-3 M
Hence, [Fe] in the well water sample = 1.6253 x 10-3 M
8 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
1.A. Plotting and Using Concentration vs Absorbance Graph
Example 5: The absorbances of different concentrations of an unknown dye are tabulated
below. Calculate the molar absorptivity, of the dye.
Concentration (M): 5.94 x 10-6 4.36 x 10-6 2.97 x 10-6 1.58 x 10-6 3.92 x 10-7
Absorbance 0.842 0.600 0.410 0.200 0.030
Ans.
Step 1: Tabulate the concentration and respective absorbance data in an Excel sheet. By
default, Excel puts the first row on X-axis and the second row on Y-axis. Remember to put
the independent variables (here, concentration) in the first row, and the dependent
variable (absorbance) in the second row.
Step 2: Once the graph is generated, we need to enter Chart Title and label the axes.
Follow the steps-
I. Simply click (Left click of the mouse) on the graph.
II. Click on the Design Tab
III. Click on “Add Chart Element”
IV. Under the “Axis Title” select “Primary Horizontal”. Enter the X-axis unit in the
textbox appearing at the bottom of the graph. In this case, the X-axis represents
9 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
the concentration of the dye. So, type “[Dye], M” in the textbox. Or, you can type
“Molar Concentration of Dye” or similar phrases to represent the X-axis.
V. Similarly, select “Primary Vertical” from the “Axis Title” tab and enter a suitable
Y-axis label. In this case, the Y-axis represents the absorbance values. So, a Y-axis
label can be “Absorbance”.
VI. Double click on the “Chart Title” textbox at the top of the graph. Then enter the
chart title. In this case, “Absorbance vs Concentration Graph” seems to be a good
chart title.
VII. The background of the chart as well as Chart Styles can also be changed as
required to fit the need or for beautification by simply selecting the graph designs
from VII. However, it is not required at this moment.
Step 3: Deriving the Slope of the Graph: For a given data table for a linear graph, the
three methods can be used to determine the slope and y-intercept.
A. From Data Table (without requiring the Graph): The slope can be manually
calculated from the data table without requiring to plot a graph. Take the difference
between the first and last absorbance (dY) and concentration (dX) values. Any two data
10 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
points can be taken, but accuracy increases with the inclusion of more data points. So,
take the first and last data columns for slope calculation as shown below-
Slope =
Note that the manually calculated value of the slope is not equal to that of the actual or
Excel-generated value because it does not account regression like Excel. Also, note that
the unit of the slope is equal to the unit of the Y-axis divided by the unit of the X-axis. In
this case, the Y-axis represents the dimensionless absorbance values, so it does not have
a unit. The X-axis represents concentration in terms of molarity, so has a unit of molarity,
M. So, the slope = (dY / dX) yields a unit of M-1 for this graph.
B. From the best-fit line of the Graph: This method also takes the difference
between the first and last absorbance (dY) and concentration (dX) values but requires a
graph and its best-fit line drawn. Since this method derives the slope from the best-fit line
but not directly from the data table, the resultant value of the slope is better than the
above method A.
To derive the slope, we need to take any two points- the farther they’re on the best-fit
line, the better would be the outcome because of the inclusion of more data points.
However, this method may not always seem feasible without compromising accuracy.
Consider this case, the y-axis values can be approximated equal or very close to the actual
value on the best-fit line because of measurable subdivisions on the respective y-axis
scale. However, the subdivisions on the X-axis are not clearly measurable because of the
large magnitude of values between two adjacent subdivisions. So, the resultant slope is
most likely to exhibit deviation from the actual or Excel-generated value.
To minimize the extent of error, we need to take the two points (need not the data points,
these can be any two points on the best-fit line) with an exact intercept on both the axes.
If this is not possible, then choose two points with an exact intercept on the axis with
lesser clear subdivisions, in this case, the X-axis. So, we proceed with graph keeping in
mind-
- choose two data points with an exact intercept on both the axes
- if above criterion not met, then choose two points with an exact intercept on the
axis with lesser clear subdivisions (in this case the X-axis), and
- the two points on the best-fit line shall be as farther as possible to include more
data points, which in turn, would increase the accuracy of the slope.
dY
dX =
(5.94 x 10-6 – 3.92 x 10-7) M
0.842 – 0.030 = 146359 M-1
11 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
A possible scenario of taking two points on the best-fit line is shown in the graph below.
We’ll use the respective X- and Y-values at the two points to calculate the slope.
So,
Slope =
C. From the trendline equation in Excel: Follow the steps-
I. Right-click on the calibration curve of the graph. Select “Format Trendline” at the
bottom of the popup screen.
II. By default, the options are presented for the “Linear” graph (shown by BLUE box).
If the “Linear” option is not selected for some reason, re-select it before
proceeding.
III. Select the box “Display Equation on Chart”. It shows the linear regression
equation or the trendline equation for the graph.
IV. Select the box “Display R-squared value on Chart”. It shows R2 value for linear
regression. Though R2 value is generally not required in such cases, it provides
dY
dX =
(5.40 x 10-6 – 6.00 x 10-7) M
0.760 – 0.060 = 145833 M-1
YB - YA
XB - XA =
12 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
valuable information about the linearity of the graph. Closer is the value of R2 to 1,
greater is the linearity of the calibration curve and greater would be the accuracy
of calculations based on its linear regression equation.
D. Use LINEST function in Excel: Follow the steps-
I. Select any cell in the Excel sheet.
II. Enter =LINEST and select the fxLINEST from the popup. It shows the options as
shown below-
Where,
known_ys = the Y-axis values = select Y-axis (absorbance) values
[known_xs] = the X-axis values = select X-axis (concentration) values
[const] = type TRUE
[stats] = type TRUE
III. When all values are entered, press ENTER. It returns the value of slope in the
selected cell.
IV. The LINEST command also gives many more statistical data. In this chapter, the
y-intercept, and uncertainties in slope and y-intercept may also be required at
some points. To get these values, first, drag the slope-cell value to the right cell,
13 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
then drag that to one cell down. Now, enter Ctrl+shift+enter in the formula bar
at the top. It gives values in all four cells.
V. The number of decimal places can be increased or decreased as required.
Step 4: Finally, calculate the molar absorptivity,
Molar absorptivity, =
We have, Slope = 145912 M-1 ; [from the linear regression equation]
Pathlength = 1.00 cm ; [given]
Now, putting the values in above expression-
Molar absorptivity, = = 145912 M-1 cm-1 = 1.46 x 105 M-1 cm-1
Slope
Pathlength
1.0 cm
145912 M-1
14 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Example 6: The absorbances of different concentrations of the standard solutions of Ca2+
are tabulated below. A 0.1000-gram sample, when diluted to 1:50 dilution, gives an
absorbance of 0.400. Calculate % (w/w) calcium in the original sample.
Concentration (ppm): 1 3 6 10 14 16
Absorbance 0.340 0.420 0.560 0.750 0.940 1.050
Ans. Step 1: Construct the standard calibration curve and generate the linear regression
equation or the trendline equation in excel for the graph.
Step 2: Calculate [Ca2+] in the diluted unknown aliquot using the absorbance of the
unknown and the linear regression equation of the standard graph.
We have, linear regression equation is y = 0.0474x + 0.2821.
In the graph, Y-axis indicates absorbance and X-axis depicts concentration. That is,
according to the trendline (linear regression) equation, 1 absorbance unit (= 1Y) is equal
to 0.0474 units on the X-axis plus 0.2821. Note that the unit of the slope is inverse of the
unit of the X-axis.
Given, the absorbance of the unknown aliquot = 0.400
15 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Now, putting the value of y = 0.400 in the above linear regression equation-
0.400 = 0.0474x + 0.2821
Hence, x =
Hence, [Ca2+] in the diluted unknown solution = 2.487 ppm = 2.487 mg L-1
Step 3: Calculate the amount of Ca2+ in the original sample
Given, the original sample is diluted to a 1:50 dilution. That is, 1.0 g of the original
sample is diluted to a final volume of 50.0 mL.
So,
Total volume of the diluted unknown solution = (50 mL / 1 g) x 0.1000 g = 5.0 mL
Now,
Mass of Ca2+ in the diluted unknown solution = [Ca2+] x Vol. of soln.
= 2.487 mg L-1 x 5.0 mL
= 2.487 mg L-1 x 0.005 L = 0.012435 mg
Step 4: Calculate % Ca2+ in original sample:
We have-
Mass of original sample = 0.1000 g = 100.0 mg
Mass of Ca2+ in the original sample = 0.012435 mg
Now,
% Ca2+ (w/w) = (Mass of Ca2+ / Mass of original sample) x 100
= (0.012435 mg / 100.0 mg) x 100 = 0.0124%
Example 7: A student dissolved 0.500 grams of a Kool-Aid powder sample into a final
volume of 250.0 mL. The resultant solution gives an absorbance of 0.200. The standard
graph for FD&C Red 40 dye yielded the linear regression equation of y = 2500x + 0.0037,
where the unit of concentration on the X-axis is the terms of molarity. Calculate % (w/w)
of the dye in the original sample.
Ans. Step 1: Calculate [dye] in the 250.0 mL of the solution using the absorbance of the
unknown and the linear regression equation of the standard graph.
We have, linear regression equation is y = 2500x - 0.0037.
In the graph, Y-axis indicates absorbance and X-axis depicts concentration. That is,
according to the trendline (linear regression) equation, 1 absorbance unit (= 1Y) is equal
0.400 – 0.2821
0.0474 ppm-1 = 2.487 ppm
16 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
to 2500 units on the X-axis minus 0.0037. Note that the unit of the slope is inverse of the
unit of the X-axis.
Given, the absorbance of the unknown aliquot = 0.200
Now, putting the value of y = 0.360 in the above linear regression equation-
0.200 = 2500x – 0.0037
Hence, x =
Hence, [dye] in the diluted solution = 8.148 x 10-5 M
Step 2: Determine mass of FD&C Red 40 in 250.0 mL of solution
Total volume of solution prepared = 250.0 mL = 0.250 L
Now,
Moles of FD&C Red 40 in total vol. of solution = [FD&C Red 40] x Vol. of soln. in L
= 8.148 x 10-5 M x 0.250 L = 2.0370 x 10-5 mol
And,
Mass of FD&C Red 40 in total vol. of solution = Moles x molar mass
= 2.0370 x 10-5 mol x 496.42 g mol-1 = 0.0101121 g
Step 3: Determine % mass of FD&C Red 40 in 0.500 g of Kool-Aid powder
0.500 g of Kool-Aid powder was used to prepare 250.0 mL solution. So, the mass of the
dye in both these samples must be the same.
That is, the mass of FD&C Red 40 in 0.500 g Kool-Aid powder = 0.0101121 g
Now,
% dye in sample = (mass of dye / mass of sample) x 100 = 2.022 %
Example 8: The signal intensity (arbitrary units) of various standard solutions of vitamin
B2 is tabulated below. Determine the concentration and uncertainty of an unknown
vitamin B2 solution with the signal intensity of 15.4. Also, calculate the 95% confidence
interval for this measured value.
[Vit B2], g mL-1 0.000 0.100 0.200 0.400 0.800 Unknown
Absorbance 0.0 5.8 12.2 22.3 43.3 15.4
Ans. Plot the graph, label the axes and generate the trendline the equation as shown
below. Use the LINEST function of Excel to calculate the slope (m), uncertainty is slope (x
slope), y-intercept and uncertainty in y-intercept (y-intercept) as explained previously.
The solution is presented in the following steps-
0.200 + 0.0037
2500 M-1 = 8.1480 x 10-5 M
17 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
18 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
19 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
1.B. Determining unknown [Analyte] using one Standard
On many occasions, where the concentration of an analyte in an unknown sample is
expected to be in a certain range of a certain concentration range, this method may be
adopted.
Example 9: A 3.96 x 10-4 M standard solution of analyte A gives an absorbance of 0.624
at 238 nm in a 10 mm cuvette. The absorbance of an unknown solution of the same
analyte gives an absorbance of 0.400 under the same conditions. Calculate the
concentration of the analyte in the unknown solution.
Ans.
Method 1: Through the calculation of Molar absorptivity,
Step 1: Calculate molar absorptivity, using absorbance of the standard solution
Using Beer’s law,
Molar absorptivity, =
Step 2: Since the values of molar absorptivity, remains constant for an analyte at
specified experimental conditions, it can be used to calculate the unknown [analyte] from
its absorbance.
Now,
Unknown [Analyte], C =
Method 2: Using,
Let the suffixes std and unk represent respective values for absorbance and concentration.
Step 1: Calculate molar absorptivity, using absorbance of the standard solution using
Beer’s law,
Molar absorptivity, = - equation E8.1
Step 2: Similarly, for the unknown solution-
Molar absorptivity, = - equation E8.2
Step 3: Since the values of molar absorptivity, remains constant for an analyte at
specified experimental conditions, 1 must be equal to 2.
So,
3.96 x 10-4 M x 1.00 cm
0.624 = 1575.758 M-1 cm-1 =
A
C L
= 2.54 x 10-4 M 0.400
= A
L 1575.758 M-1 cm-1 x 1.00 cm
Astd
Cstd L
Cunk L
Aunk
20 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
1 = 2 =
Hence,
- Equation E8.3
And,
Cunk = - Equation E8.4
Now, putting the values in equation E8.4,
Unknown [Analyte], Cunk =
Example 10: A 3.96 x 10-4 M standard solution of analyte A gives an absorbance of 0.624
at 238 nm in a 10 mm cuvette. The blank gives an absorbance of 0.029. The absorbance
of an unknown solution of the same analyte gives an absorbance of 0.400 under the same
conditions. Calculate the concentration of the analyte in the unknown solution.
Ans.
Actual absorbance of standard solution = Abs of standard solution – Abs of blank
= 0.624 – 0.029 = 0.595
Actual absorbance of unknown solution = Abs of unknown solution – Abs of blank
= 0.400 – 0.029 = 0.371
Now, putting the values in equation E8.4,
Unknown [Analyte], Cunk =
Cstd L
Astd Aunk =
Cunk L
Cunk
Astd
Aunk =
Cstd
Astd x Aunk
Cstd
0.624
3.96 x 10-4 M x 0.400 = 2.54 x 10-4 M
0.595
3.96 x 10-4 M x 0.371 = 2.50 x 10-4 M
21 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
1.C. Two Analyte Forms, One Wavelength
This method includes the quantitative estimation of two analytes with different max
(wavelength for maximum absorption is different for the two analytes under
consideration) simultaneously present in a solution. Though each of the two analytes
exhibits absorption maxima at their own respective max, they also yield some lower
absorption value at the max of the other analyte. So, the total absorption of the solution
at any wavelength is the sum of the individual absorption of each analyte.
Example 11: Acid-base indicators are themselves acids or bases. Consider an indicator,
HIn, which dissociates according to the equation-
HIn H- + In-
The molar absorptivity, ε, is 2080 M-1 cm-1 for HIn and 14200 M-1 cm-1 for In-, at a
wavelength of 440 nm.
a. Write an expression for the absorbance of a solution containing HIn at a concentration
[HIn] and In- at a concentration [In-] in a cell of pathlength 1.00 cm. The total absorbance
is the sum of absorbances of each component.
b. A solution containing an indicator at a formal concentration of 1.84 x 10-4 M is adjusted
to pH 6.23 and found to exhibit an absorbance of 0.868 at 440 nm. Calculate pKa for this
indicator.
Ans. a. I. For HIn, given-
C = [HIn] , e = 2080 M-1 cm-1 , L = 1.0 cm
Now, putting the values in Beer-Lambert’s Law equation, A = C L
AHIn = 2080 M-1 cm-1 x [HIn] x 1.0 cm = 2080 [HIn] M-1
II. For In-, given-
C = [In-] , = 14200 M-1 cm-1 , L = 1.0 cm
Now, putting the values in Beer-Lambert’s Law equation, A = C L
AIn- = 14200 M-1 cm-1 x [In-] x 1.0 cm = 14200 [In-] M-1
b. Step 1: Given- the total concentration of HIn and In- in the solution is 1.84 x 10-4 M.
So, [HIn] + [In-1] = 1.84 x 10-4 M - Equation E10.1
Also given- total absorption of the solution at 440 nm is 0.868.
So, AHIn + AIn- = 0.868
Or, 2080 [HIn] M-1 + 14200 [In-] M-1 = 0.868
Hence, 2080 [HIn] + 14200 [In-] = 0.868 M - Equation E10.2
Now, (Equation E10.1 x 2080) – Equation E10.2
Ka
22 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Step 2: Given- pH of the solution = 6.23
Or, [H+] = 10-pH = 10-6.23 = 5.888 x 10-7 M
The acid dissociation constant, Ka of the acid-base indicator HIn can be given as follow-
Note that the pKa values calculated by method 1 and 2 differ slightly. We would have
expected to get the same pKa value from both the methods. What did go wrong?
Note that the pH in the Henderson-Hasselbalch equation is the actual pH of a weak acid
(or weak base, etc. as specified), in this case, the indicated HIn. However, the pH
mentioned in the question is the adjusted (but not the actual) pH. So, the use of the
adjusted pH instead of the actual pH in method 2 is the reason for deviation from the
actual (expected) pKa value. Also, keep in mind that the deviation of the calculated pKa
value from the expected pKa value in method 2 would be proportional to the extent of
adjustment of the actual pH of the solution.
Method 1 calculates the acid-dissociation constant, Ka and subsequently pKa using the
actual value of [H+] in the solution from its pH. For any specified pH, [H+] is always a
constant. Since all the values used in method 1 are exact, the result value of pKa is also
exact and actual. So, method 1 shall be preferred over method 2 in cases with adjustment
of pH. In cases where pH adjustment of the indicator solution has not been done, both
the method shall yield the same value of pKa.
23 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Example 12: The oxidized form of a flavoprotein (FOx) that functions as a one-electron
reducing agent has a molar absorptivity of 1.12 x 104 M-1 cm-1 at 457 nm at pH 7.00. For
the reduced form (FRed), = 3.82 x 103 M-1 cm-1 at 457 nm at pH 7.00.
FOx + e- FRed E0’ = -0.128 V
The substrate (S) is the molecule reduced by the protein-
FRed + S FOx + S-
Both S and S- are colorless. A solution at pH 7.00 was prepared by mixing enough of the
reduced protein plus substrate (FRed + S) to produce initial concentrations [FRed] = [S] =
5.70 x 10-5 M. The absorbance at 457 nm was 0.500 in a 1.00 cm cell.
a. Calculate the concentrations of FOx and FRed from the absorbance data.
b. Calculate the concentrations of S and S-.
c. Calculate the value of E0’ for the reaction S + e- S-
Ans. a. Step 1: Let the equilibrium concentrations of the FRed and FOx be [FRed] and [FOx],
respectively. Since the FOx is derived from FRed, and both the forms interconvert into each
other to establish the equilibrium, the sum of these forms at equilibrium must be equal
to the initial [FRed]i = 5.70 x 10-5 M. The absorbance of the solution at equilibrium (or, after
completion of reaction) is equal to the sum of the absorbances of the FRed and FOx species.
So, [FRed] + [FOx] = 5.70 x 10-5 M - Equation E11.1
Using Beer-Lambert’s Law equation, A = C L, the absorbances of the two forms of the
flavoprotein can be given as-
Abs of FRed (ARed) = 3.82 x 103 M-1 cm-1 x [FR-E] x 1.0 cm = 3.82 x 103 [FR-E] M-1
Abs of FOx (AOx) = 1.12 x 104 M-1 cm-1 x [FO-E] x 1.0 cm = 1.12 x 104 [FO-E] M-1
And, the sum of absorbance is equal to 0.500 as given-
ARed + AOx = 3.82 x 103 [FRed] M-1 + 1.12 x 104 [FOx] M-1 = 0.500
So, 3.82 x 103 [FRed] + 1.12 x 104 [FOx] = 0.500 M - Equation E11.2
Step 2: (Equation E11.1 x 3.82 x 103) – Equation E11.2
24 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
b. Following the stoichiometry of the balanced reaction, 1 mol of the reduced form (FRed)
reacts with 1 mol substrate (S) to form 1 mol reduced substrate (S-). So, at equilibrium,
the concentration of [S-] is equal to the [FOx] formed. And, the equilibrium [S] is equal to
the remaining [S] in the solution.
Hence, Equilibrium [S-] = [FOx] = 3.825 x 10-5 M
And, Equilibrium [S] = Initial [S] – [S] consumed = Initial [S] – Equilibrium [S-]
= 5.70 x 10-5 M - 3.825 x 10-5 M = 1.875 x 10-5 M
c. Since the question does not mention the reaction temperature, it’s assumed to be
25.00C or 298.15 K (standard temperature).
When a half-reaction is reversed, the numeric sign of the resultant reaction is also
reversed. Hence, of E0’ for the given reaction S + e- S- = - 0.154 V
25 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
1.D. Two Analyte, Two Wavelengths
Example 13: Cobalt and nickel ions form colored complexes with 2,3-quinoxalinedithiol.
These complexes have molar absorptivity of Co = 36400 M-1 cm-1 and Ni = 5520 M-1 cm-
1 at 510 nm, and Co = 1240 M-1 cm-1 and Ni = 17500 M-1 cm-1 at 656 nm. A 0.635-gram
sample containing Ni and Co ions was dissolved and diluted to 100.0 mL. A 50.0 mL
aliquot was treated to eliminate interferences; an excess 2,3-quinoxalinedithiol was added,
and the volume of the solution was adjusted to 100.0 mL. This solution had an absorbance
of 0.347 at 510 nm and 0.228 at 656 nm in a 1-cm cell. Given the following atomic masses:
Co = 58.933 g mol-1 and Ni = 58.69 g mol-1.
I. Calculate the number of moles of Ni and Co ions contained in the sample.
II. Determine the parts per million of cobalt and nickel in the sample.
Ans. Step 1: Beer-Lambert’s Law: A = C L
Where, A = absorbance , = molar absorptivity (M-1 cm-1)
L = Path length (cm) , C = Concentration
Given-
The total absorbance of the solution at any wavelength equals the sum of absorbances of
the individual analytes in it. Let the concentrations of Co and Ni in the final solution
(whose absorbance is taken) be X and Y molar, respectively.
At 510 nm: Total abs = Abs of Co + Abs of Ni
Or, 0.347 = (36400 M-1 cm-1 x X M x 1.0 cm) + (5520 M-1 cm-1 x Y M x 1.0 cm)
Hence, 36400X + 5520Y = 0.347 - Equation E12.1
At 656 nm: Total abs = Abs of Co + Abs of Ni
Or, 0.228 = (1240 M-1 cm-1 x X M x 1.0 cm) + (17500 M-1 cm-1 x Y M x 1.0 cm)
Hence, 1240X + 17500Y = 0.228 - Equation E12.2
Now, (Comparing equation 1 x 1240) – (Equation 2 x 36400)
45136000 X + 6844800 Y = 430.28
-45136000 X - 637000000 Y = -8299.2
-630155200 Y = -7868.92
510 nm 656 nm
Co 36400 1240
Ni 5520 17500
Total Abs 0.347 0.228
26 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Or, Y = -7868.92 / -630155200 = 1.249 x 10-5
Hence, [Ni] in the final aliquot = Y M = 1.249 x 10-5 M
And, Putting the values of Y in equation E12.1-
X = [0.347 – (5520 x 1.249 x 10-5)] / 36400 = 7.639 x 10-6
Hence, [Co] in the final aliquot = X M = 7.639 x 10-6 M
Step 2: I. Calculate the number of moles of Ni and Co ions contained in the sample.
The original sample diluted to prepare the final aliquot (whose OD or absorbance is taken)
as follow-
I. 0.635 g of the original sample is dissolved and diluted to a final volume of 100.0
mL. Let us label it as solution A.
II. 50.0 mL of solution A is treated and diluted to a final volume of 100 mL. This
solution (the final aliquot), gives the specified absorbances at two wavelengths as
mentioned in the question. Let us label this 100 mL solution as solution B.
Note that 50.0 mL of solution A is used to prepare 100.0 mL of solution B.
Now, using C1V1 (solution B) = C2V2 (solution A)
[Co] in solution A, C2 = (C1V1) / V2 = (7.639 x 10-6 M x 100 mL) / 50 mL = 1.5278 x 10-5 M
[Ni] in solution A, C2 = (C1V1) / V2 = (1.249 x 10-5 M x 100 mL) / 50 mL = 2.498 x 10-5 M
Now,
Moles of Co in solution A = [Co] in solution A x Vol. in liters
= 1.5278 x 10-5 M x 0.100 L = 1.5278 x 10-6 mol
Moles of Ni in solution A = [Ni] in solution A x Vol. in liters
= 2.498 x 10-5 M x 0.100 L = 2.498 x 10-6 mol
Since 100.0 mL of solution A is prepared from 0.635 g of the original sample, the number
of moles of analytes in the original sample must be equal to that of 100.0 mL of solution
A.
Hence,
Moles of Co in 0.635 g original sample = 1.5278 x 10-6 mol
Moles of Ni in 0.635 g original sample = 2.498 x 10-6 mol
II. Determine the parts per million of cobalt and nickel in the sample.
[Co],ppm in original sample = Mass of Co in g / Mass of sample in grams
= [(Mol x atomic mass) x 106 g g-1] / Mass of sample in grams
= [(1.5278 x 10-6 mol x 58.933 g mol-1) x 106 g g-1] / 0.635 g
= [(9.0038 x 10-5 g) x 106 g g-1] / 0.635 g
= 90.038 g / 0.635 g = 141.79 g g-1 = 141.79 ppm
And, [Ni],ppm in original sample = Mass of Ni in g / Mass of sample in grams
27 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
= [(Mol x atomic mass) x 106 g g-1] / Mass of sample in grams
= [(2.498 x 10-6 mol x 58.69 g mol-1) x 106 g g-1] / 0.635 g
= [(9.0038 x 10-5 g) x 106 g g-1] / 0.635 g
= 146.61 g / 0.635 g = 141.79 g g-1 = 230.88 ppm
Example 14: Molar absorptivity data for the cobalt and nickel complexes with 2,3-
quinoxalinedithiol are Co = 36400 M-1 cm-1 and Ni = 5520 M-1 cm-1 at 510 nm, and Co =
1240 M-1 cm-1 and Ni = 17500 M-1 cm-1 at 656 nm. A 0.425-gram sample was dissolved
and diluted to 50.0 mL. A 25.0.0 mL aliquot was treated to eliminate interferences; after
addition of an excess 2,3-quinoxalinedithiol, the volume of the solution was adjusted to
50.0 mL. This solution had an absorbance of 0.446 at 510 nm and 0.326 at 656 nm in a
1.00-cm cell. Given the following atomic masses: Co = 58.933 g mol-1 and Ni = 58.69 g
mol-1. Calculate the concentrations in parts per million of cobalt and nickel in the sample.
Ans. Step 1: Beer-Lambert’s Law: A = C L
Where, A = absorbance , = molar absorptivity (M-1 cm-1)
L = Path length (cm) , C = Concentration
Given-
The total absorbance of the solution at any wavelength equals the sum of absorbances of
the individual analytes in it. Let the concentrations of Co and Ni in the final solution
(whose absorbance is taken) be X and Y molar, respectively.
At 510 nm: Total abs = Abs of Co + Abs of Ni
Or, 0.446 = (36400 M-1 cm-1 x X M x 1.0 cm) + (5520 M-1 cm-1 x Y M x 1.0 cm)
Hence, 36400X + 5520Y = 0.446 - Equation E13.1
At 656 nm: Total abs = Abs of Co + Abs of Ni
Or, 0.326 = (1240 M-1 cm-1 x X M x 1.0 cm) + (17500 M-1 cm-1 x Y M x 1.0 cm)
Hence, 1240X + 17500Y = 0.326 - Equation E13.2
Now, (Comparing equation 1 x 1240) – (Equation 2 x 36400)
45136000 X + 6844800 Y = 553.04
-45136000 X - 637000000 Y = -11866.4
-630155200 Y = -11313.36
510 nm 656 nm
Co 36400 1240
Ni 5520 17500
Total Abs 0.446 0.326
28 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Or, Y = -11313.36 / -630155200 = 1.795 x 10-5
Hence, [Ni] in the final aliquot = Y M = 1.795 x 10-5 M
And, Putting the values of Y in equation E13.1-
X = [0.446 – (5520 x 1.795 x 10-5)] / 36400 = 9.530 x 10-6
Hence, [Co] in the final aliquot = X M = 9.530 x 10-6 M
Step 2: Calculate the number of moles of Ni and Co ions contained in the sample.
The original sample diluted to prepare the final aliquot (whose OD or absorbance is taken)
as follow-
I. 0.425 g of the original sample is dissolved and diluted to a final volume of 50.0
mL. Let us label it as solution A.
II. 25.0 mL of solution A is treated and diluted to a final volume of 50 mL. This
solution (the final aliquot), gives the specified absorbances at two wavelengths as
mentioned in the question. Let us label this 50 mL solution as solution B.
Note that 25.0 mL of solution A is used to prepare 50.0 mL of solution B.
Now, using C1V1 (solution B) = C2V2 (solution A)
[Co] in solution A, C2 = (C1V1) / V2 = (9.530 x 10-6 M x 50 mL) / 25 mL = 1.906 x 10-5 M
[Ni] in solution A, C2 = (C1V1) / V2 = (1.795 x 10-5 M x 50 mL) / 25 mL = 3.590 x 10-5 M
Now,
Moles of Co in solution A = [Co] in solution A x Vol. in liters
= 1.906 x 10-5 M x 0.050 L = 9.530 x 10-7 mol
Moles of Ni in solution A = [Ni] in solution A x Vol. in liters
= 3.590 x 10-5 M x 0.050 L = 1.795 x 10-6 mol
Since 50.0 mL of solution A is prepared from 0.435 g of the original sample, the number
of moles of analytes in the original sample must be equal to that of 50.0 mL of solution
A.
Hence,
Moles of Co in 0.435 g original sample = 9.530 x 10-7 mol
Moles of Ni in 0.635 g original sample = 1.795 x 10-6 mol
Determine the parts per million of cobalt and nickel in the sample.
[Co],ppm in original sample = Mass of Co in g / Mass of sample in grams
= [(Mol x atomic mass) x 106 g g-1] / Mass of sample in grams
= [(9.530 x 10-6 mol x 58.933 g mol-1) x 106 g g-1] / 0.435 g
= [(5.616 x 10-5 g) x 106 g g-1] / 0.435 g
= 56.16 g / 0.435 g = 129.11 g g-1 = 129.11 ppm
And, [Ni],ppm in original sample = Mass of Ni in g / Mass of sample in grams
29 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
= [(Moles x atomic mass) x 106] g / Mass of sample in grams
= [(1.795 x 10-6 mol x 58.69 g mol-1) x 106 g g-1] / 0.435 g
= [(1.054 x 10-4 g) x 106 g g-1] / 0.435 g
= 105.37 g / 0.435 g = 305.41 g g-1 = 305.44 ppm
30 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
2. (External) Standard Addition Methods
2.A. Single Aliquot Standard Addition
Standard addition numerical may sometimes appear a bit difficult at first. Keeping in mind
that these problems are also based on Beer-Lambert’s law would be useful to solve such
problems. The approach can be molded in different ways by different authors. Two
approaches or methods shall be used to illustrate the solution strategies for single aliquot
external addition methods.
Example 15: An unknown sample of Cu2+ gave an absorbance of 0.262 in an atomic
absorption analysis. Then 1.0 mL of the solution containing 100.0 ppm Cu2+ was mixed
with 95.0 ml of the unknown, and the mixture was diluted to 100.0 mL in a volumetric
flask. The absorbance of the new solution was 0.500. Find the [Cu2+] in the unknown.
Ans. Method 1: Using Beer-Lambert’s law
Step 1: For the original unknown solution.
Using Beer-Lambert’s Law A = C L
A1 = C1 L
Where, A1 = Absorbance of the original unknown solution = 0.262
CX = [Cu2+] in the original unknown solution
In the above expression, A1 is a known quantity, C1 is the unknown to be determined,
and L are unknown but remain constant for a specified analyte under the same set of
experimental conditions. Since and L remain the same for the given set of experimental
conditions, their product would be a constant for both the original unknown solution as
well as the spiked (standard-addition) aliquot. So, we need to derive both the equations
(one for each case) in terms of the product of and L.
That is, L = A1 / Cx - Equation 1E.1
Step 2: For the spiked and finally diluted solution
To derive the expression in terms of L, we first need to determine the total [Cu2+] in the
spiked aliquot. There are two sources of [Cu2+] in the spiked aliquot- one [Cu2+] from the
original unknown solution, and the other [Cu2+] from the standard solution. We need to
calculate [Cu2+] in the final diluted solution from both the sources separately, and then
add them to get the total [Cu2+] in the spiked solution.
In the finally diluted spiked aliquot,
using C1V1 (original solution) = C2V2 (spiked solution)
[Cu2+] from standard solution = C1V1 / V2 = (100.0 ppm x 1.0 mL) / 100.0 mL = 1.0 ppm
31 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
[Cu2+] from unknown solution = (Cx x 95.0 mL) / 100.0 mL = 0.95 Cx
And,
Total [Cu2+] in the spiked solution, [Cu2+]T = [Cu2+] from (standard +unknown) solution
Or, [Cu2+]T = 1.0 ppm + 0.95 Cx
Now, using Beer-Lambert’s Law for the spiked solution
A2 = CT L
Where, A2 = Absorbance of the spiked and diluted solution = 0.500
CT = [Cu2+] in the spiked and diluted solution = 1.0 ppm + 0.95 Cx
Or, L = A2 / CT - Equation 1E.2
As explained above, and L remain constant for the given set of experimental conditions.
Now, comparing equations 1 and 2-
L = A1 / C1 = A2 / CT
Or, A1 / C1 = A2 / CT - Equation 1E.3
Hence,
(Abs / [Analyte]) of unknown = (Abs / [Analyte]) of spiked soln.
-equation 1E.4
Equation 1E.4 shall serve as the principal equation to solve the numerical of single
standard addition methods.
Step 3: Putting the values in equation 1E.3 or 1E.4-
0.262 / Cx = 0.500 / (1.0 ppm + 0.95 Cx)
Or, 0.262 x (1.0 ppm + 0.95 Cx) = 0.500 Cx
Or, 0.262 ppm + 0.2489 Cx = 0.500 Cx
Or, 0.500 Cx - 0.2489 Cx = 0.262 ppm
Or, 0.2511 Cx = 0.262 ppm
So, Cx = 0.262 ppm / 0.2511 = 1.043 ppm
Hence, [Cu2+] in the original unknown solution, Cx = 1.043 ppm
Method 2: Accounting increase in absorbance of the spiked solution
Following Beer-Lambert’s law, the absorbance of a solution is proportional to the
concertation of the analyte. It also means that an increase in concentration shall reflect a
proportional increase in the absorbance.
That is,
([Analyte] / Abs) of original soln. = Increase in ([Analyte] / Abs) of spiked soln.
- Equation 1E.5
Step 1: Let [Cu2+] in the original unknown solution be Cx.
32 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Given-
Absorbance of the original unknown solution = 0.262
Absorbance of the spiked solution = 0.500
So, increase in absorbance due to spiking = 0.500 – 0.262 = 0.238
In the finally diluted spiked aliquot,
using C1V1 (original solution) = C2V2 (spiked solution)
[Cu2+] from standard solution = C1V1 / V2 = (100.0 ppm x 1.0 mL) / 100.0 mL = 1.0 ppm
[Cu2+] from unknown solution = (Cx x 95.0 mL) / 100.0 mL = 0.95 Cx
And,
Total [Cu2+] in the spiked solution, [Cu2+]T = [Cu2+] from (standard +unknown) solution
Or, [Cu2+]T = 1.0 ppm + 0.95 Cx
Now, increase in [Cu2+] due to spiking = [Cu2+]T – [Cu2+] of unknown soln.
= (1.0 ppm + 0.95 Cx) – Cx = 1.0 ppm - 0.05 Cx
Step 2: Using Equation 1E.5-
Cx / 0.262 = (1.0 ppm - 0.05 Cx) / 0.238
Or, 0.238 Cx = 0.262 x (1.0 ppm - 0.05 Cx) = 0.262 ppm – 0.0131 Cx
Or, 0.238 Cx + 0.0131 Cx = 0.262 ppm
Or, Cx = 0.262 ppm / 0.2511 = 1.043 ppm
Hence, [Cu2+] in the original unknown solution, Cx = 1.043 ppm
Example 16: The lithium concentration in serum taken from a patient being treated with
lithium for maniac-depressive illness was analyzed using flame emission spectroscopy. A
sample of the serum gave a reading of 372 unit for the intensity of the 671 nm red
emission line. Then, 1.00 mL of a 11.3 mM lithium standard was added to 9.00 mL of
serum. This spiked serum gave an intensity reading of 767 units at the 671 nm emission
line. What is the original concentration of Li+ in the serum?
Ans. Method 1: Given-
The intensity of the original serum sample = 372 units
The intensity of the Spiked serum solution = 767 units
[Li+] in the standard solution = 11.3 mM
Vol. of Standard lithium solution taken = 1.00 mL
Vol. of the original serum taken = 9.00 mL
Now,
The spiked soln. has its [Li+] from two sources - I. from the original sample, and II. from
the addition of standard solution (standard addition). Let [Li+] in the original sample be X.
33 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Using C1V1 (original soln.) = C2V2 (spiked soln.) for the spiked solution-
[Li+] from original serum sample = (X x 9.00 mL) / 10.0 mL = 0.900 X
[Li+] from Std. soln. = (11.3 mM x 1.0 mL) / 10.0 mL = 1.130 mM
So, Total [Li+] in the spiked soln., [Li+]T = 0.900 X + 1.130 mM
Now, Using Equation 1E.4-
(Intensity / [Analyte]) of Original sample = (Intensity / [Analyte]) of spiked soln.
Or, 372 / X = 767 / (0.900 X + 1.130 mM)
Or, 0.900 X + 1.130 mM = 767 X / 372 = 2.06183 X
Or, 2.06183 X - 0.900 X = 1.130 mM
So, X = 1.130 mM / 1.16183 = 0.973 mM
Hence, [Li+] in the original serum sample, X = 0.973 mM
Method 2: Given-
The intensity of the original serum sample = 372 units
The intensity of the Spiked serum solution = 767 units
[Li+] in the standard solution = 11.3 mM
Vol. of Standard lithium solution taken = 1.00 mL
Vol. of the original serum taken = 9.00 mL
The spiked soln. has its [Li+] from two sources - I. from the original sample, and II. from
the addition of standard solution (standard addition). Let [Li+] in the original sample be X.
Using C1V1 (original soln.) = C2V2 (spiked soln.) for the spiked solution-
[Li+] from original serum sample = (X x 9.00 mL) / 10.0 mL = 0.900 X
[Li+] from Std. soln. = (11.3 mM x 1.0 mL) / 10.0 mL = 1.130 mM
So, Total [Li+] in the spiked soln., [Li+]T = 0.900 X + 1.130 mM
Now,
Increase in intensity due to spiking = (767 – 372) AU = 395 AU
Increase in [Li+] due to spiking = [Li+]T – X
= (0.900 X + 1.130 mM) – X = -0.100X + 1.130 mM
Now, Using Equation 1E.5-
([Analyte] / Intensity) of original sample = Increase in ([Analyte] / Intensity) of spiked soln.
Or, X / 372 = (-0.100X + 1.130 mM) / 395
Or, 395X / 372 = -0.100X + 1.130 mM
Or, 1.06183 X + 0.100 X = 1.130 mM
Or, 1.16183 X = 1.130 mM
So, X = 1.130 mM / 1.16183 = 0.973 mM
34 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Hence, [Li+] in the original serum sample, X = 0.973 mM
Example 17: Copper was determined in river water by atomic absorption
spectrophotometer and the method of standard additions. For the addition, 250.0 mL of
a 1000.0 g mL-1 Cu standard was added to 150.0 ml of the unknown solution. The
following data were obtained-
Absorbance of reagent blank = 0.021
The absorbance of the sample (original water sample) = 0.472
The absorbance of sample plus addition – blank = 1.027
1. Calculate the copper concentration in the sample
2. Later studies showed that the reagent blank used to obtain the above data was
inadequate and that the actual blank absorbance was 0.100. Find the copper
concentration with the appropriate blank, and determine the % error caused by using an
improper blank.
Ans. 1. Calculate Initial [Cu] in the Sample without Correction in Abs
Given-
Abs of the reagent blank = 0.021
Abs of the original sample = 0.472
Abs of (Sample + Addition – Blank) = 1.027
Corrected absorbance of blank = 0.100
[Cu] in the standard solution = 1000.0 g mL-1
Vol. of standard [Cu] soln. taken = 250.0 mL
Vol. of original sample taken = 150.0 mL
Total volume of the spiked soln. = 250.0 mL + 150.0 mL = 400.0 mL
Now,
Actual abs sample = Abs of (Sample – Blank) = 0.472 – 0.021 = 0.451
The spiked soln. has its [Cu] from two sources - I. from the original sample, and II. from
the addition of standard solution (standard addition). Let [Cu] in the original sample be X.
Using C1V1 (original soln.) = C2V2 (spiked soln.) for the spiked solution-
[Cu] from original soln. = (X x 150.0 mL) / 400.0 mL = 0.375 X
[Cu] from Std. soln. = (1000.0 g mL-1 x 250.0 mL) / 400.0 mL = 625.0 g mL-1
So, Total [Cu] in the spiked soln., [Cu]T = 0.375 X + 625.0 g mL-1
And,
Increase in Abs due to spiking = Actual Abs of (spiked soln. - Sample)
= 1.027 – 0.451 = 0.576
35 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Increase in [Cu] due to spiking = Total [Cu] in spiked soln. - [Cu] in sample
= [Cu]T – X = (0.375 X + 625.0 g mL-1) – X
= -0.625X + 625.0 g mL-1
Using Equation 1E.5 ([Analyte] / Abs) of original soln. = Increase in ([Analyte] / Abs) of
spiked soln.-
X / 0.451 = (-0.625X + 625.0 g mL-1) / 0.576
Or, 0.576 X = 0.451 x (-0.625X + 625.0 g mL-1) = -0.2819 X + 281.875 g mL-1
Or, 0.576 X + 0.2891 X = 281.875 g mL-1
So, X = 281.875 g mL-1 / 0.8579 = 328.57 g mL-1
Hence, Initial or Uncorrected [Cu] in the original sample water = 328.57 g mL-1
2. Calculate [Cu] in Sample after Correction in Absorbance
Corrected Abs of Sample = Abs of (sample- Corrected blank) = 0.472 – 0.100 = 0.372
Corrected Abs of Spiked soln. = Abs of Spiked Soln. - (Corrected - Actual) abs of blank
= 1.027 – (0.100 – 0.021) = 0.948
Corrected Increase in Abs due to spiking = Corrected Abs of (Spiked soln. – Sample)
= 0.948 – 0.372 = 0.576
Again, Using Equation 1E.5-
X / 0.372 = (-0.625X + 625.0 g mL-1) / 0.576
Or, 0.576 X = 0.372 x (-0.625X + 625.0 g mL-1) = -0.2325 X + 232.500 g mL-1
Or, 0.576 X + 0.2325 X = 232.500 g mL-1
So, X = 232.500 g mL-1 / 0.8085 = 287.57 g mL-1
Hence, the Corrected [Cu] in the original sample water = 287.57 g mL-1
Now, Account Error in [Cu]:
Error in [Cu] = Corrected [Cu] - Initial [Cu] = (287.57 – 328.57) g mL-1 = -41.00 g mL-1
Now,
% Error in [Cu] = (Error in [Cu] / Corrected [Cu]) x 100
= (-41.00 g mL-1 / 287.57 g mL-1) x 100 = -14.26%
The -ve sign indicates that the initial or un-corrected [Cu] is lesser than the corrected [Cu].
Example 18: A 5.00 mL sample containing just Riboflavin is diluted to 6.00 mL, then
analyzed and found to emit an intensity of 4518 at 520 nm. The 5.00 mL volume sample
was spiked with 0.50 mL of 5.00 ppm riboflavin standard solution, diluted to 6.00 mL. The
36 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
intensity at the same wavelength with the spiked standard solution was 7362. Calculate
the concentration of Riboflavin in the original sample.
Ans. Step 1: Given-
The intensity of the diluted sample = 4518 units
The intensity of the Spiked and diluted solution = 7362 units
[Riboflavin] in the standard solution = 5.00 ppm
Vol. of Standard Riboflavin solution taken = 0.500 mL
Vol. of the original sample taken = 5.00 mL
Total volume of spiked and diluted solution = 6.00 mL
The spiked soln. has its [Riboflavin] from two sources - I. from the original sample, and II.
from the addition of standard solution (standard addition). Let [Riboflavin] in the original
sample be X.
Using C1V1 (diluted sample) = C2V2 (spiked, diluted soln.) for the spiked solution-
[Riboflavin] from diluted sample = (X x 5.00 mL) / 6.0 mL = 0.8333 X
[Riboflavin] from Std. soln. = (5.00 ppm x 0.5 mL) / 6.0 mL = 0.4167 ppm
So, Total [Riboflavin] in the spiked soln., [Riboflavin] T = 0.8333 X + 0.4167 ppm
Now,
Increase in intensity due to spiking = (7362 – 4518) AU = 2844
Increase in [Riboflavin] due to spiking = [Riboflavin]T – X
= (0.8333 X + 0.4167 ppm) – X = -0.1667X + 0.4167 ppm
Now, Using Equation 1E.5-
([Analyte] / Intensity) of diluted sample = Increase in ([Analyte] / Intensity) of spiked soln.
Or, X / 4518 = (-0.1667X + 0.4167 ppm) / 2844
Or, 2844X / 4518 = -0.1667X + 0.4167 ppm
Or, 0.6295X + 0.1667 X = 0.4167 ppm
Or, 0.7962 X = 0.4167 ppm
So, X = 0.4167 ppm / 0.7962 = 0.5234 ppm
Hence, [Riboflavin] in the diluted sample, X = 0.5234 ppm
Step 2: Accounting Dilutions:
Dilution 1: 5.00 mL of the unknown original sample is spiked and diluted to 6.00 mL to
make the spiked solution.
Now, using C1V1 (diluted sample) = C2V2 (Spiked, diluted solution)
So, [Riboflavin] in diluted sample = (0.5234 ppm x 6.00 mL) / 5.00 mL = 0.628 ppm
37 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Dilution 2: 5.00 mL of the unknown original sample is diluted to 6.00 mL to make the
un-spiked aliquot.
Now, using C1V1 (original sample) = C2V2 (diluted sample)
So, [Riboflavin] in original sample = (0.628 ppm x 6.00 mL) / 5.00 mL = 0.754 ppm
Example 19: Quinine is found in tonic water and is an aromatic based compound the
fluoresces at 460 nm after it absorbs excitation at 350 nm. A solution that contains an
unknown amount of quinine was found to have a luminescent intensity of 4343 counts.
To determine the concentration of quinine in this solution 13.50 mL of this solution was
spiked with 4.50 mL of a 23.86 ppm (w/v) quinine standard addition reagent (SAR) and
diluted to volume in a 30.00 mL volumetric flask. If the luminescent intensity of the spiked
reagent was found to 6302 counts, what is the concentration of quinine in the unknown
solution, ppm (w/w)?
Ans. Given-
The intensity of the original sample = 4343
The intensity of the Spiked and diluted solution = 6302
[Quinine] in the standard solution = 23.86 ppm
Vol. of Standard Quinine solution taken = 4.50 mL
Vol. of the original sample taken = 13.30 mL
Total volume of the spiked solution = 30.00 mL
Now,
The spiked soln. has its [Quinine] from two sources - I. from the original sample, and II.
from the addition of standard solution (standard addition). Let [Quinine] in the original
sample be X.
Using C1V1 (original soln.) = C2V2 (spiked soln.) for the spiked solution-
[Quinine] from original sample = (X x 13.50 mL) / 30.00 mL = 0.450 X
[Quinine] from Std. soln. = (23.86 ppm x 4.50 mL) / 30.00 mL = 3.579 ppm
So, Total [Quinine] in the spiked soln., [Quinine]T = 0.450 X + 3.579 ppm
Now, Using Equation 1E.4-
(Intensity / [Analyte]) of Original sample = (Intensity / [Analyte]) of spiked soln.
Or, 4343 / X = 6302 / (0.450 X + 3.579 ppm)
Or, 0.450 X + 3.579 ppm = 6302 X / 4343 = 1.451 X
Or, 1.451 X - 0.450 X = 3.579 ppm
So, X = 3.579 ppm / 1.001 = 3.575 ppm
Hence, [Quinine] in the original tonic sample, X = 3.575 ppm
38 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
2.B Multiple Aliquots Standard Addition
Example 20: An environmental chemist working for the Environment Protection Agency
(EPA) was directed to collect razor clams from a heavily-contaminated river superfund site
and analyze them for their Cd2+ content using graphite furnace atomic absorption
spectrometry (GFAAS). The chemist dried the clams at 950C overnight and ground them
in a scientific blender, resulting in approximately 50 g of homogenized dry weight. A
representative 71.64 mg sample was taken from the approximately 50 g dry material and
dissolved in 100.0 mL of 0.1 M HCl to create a sample solution. Using the method of
standard addition, the chemist prepared five standards in 100.0 mL volumetric flasks, each
containing 5.0 ml of the sample solution. Varying amounts of a 99.0 ppb (g L-1) Cd2+
standard were added to each flask, which were then brought to volume with 0.1 M HCl.
The Cd2+ content of the solution was then analyzed using GFAAS, using the absorbance
data given in the table.
Sample volume (mL) 5.0 5.0 5.0 5.0 5.0
Vol. of Std. Cd2+ soln. (mL) 0.00 2.50 5.00 7.50 10.00
Absorbance 0.080 0.119 0.163 0.200 0.241
Determine the amount of Cd2+ per gram of dry clam. Express your result as milligrams of
Cd2+ per gram dry clam.
Ans. Method 1: By determining [Cd2+] in the un-spiked aliquot: Create a data table as
shown below to calculate [Cd2+] from various standard additions. Plot absorbance vs
[Cd2+] added from standard solutions of various aliquots, label the axes appropriately.
Generate the trendline equation or linear regression equation for the standard graph.
Once the trendline equation is obtained, the required calculations can be
39 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
done in following two steps-
40 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Hence, Cd2+ content in dry clam (dry mass) = 0.137 mg Cd2+ per gram dry clam.
Method 2: By the mass of Cd2+ in the un-spiked aliquot: Create a data table as shown
below to calculate the mass (g) of Cd2+ from various standard additions. Plot absorbance
vs mass (g) of Cd2+ added from standard solutions of various aliquots, label the axes
appropriately. Generate the trendline equation or linear regression equation for the
standard graph.
Mass (g) of Cd2+ added from standard solution = C1 x (V1 / 1000)
Where, C1 = [Cd2+] of the standard solution
V1 = Vol. of std. soln. taken (mL)
41 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
V1 / 1000 = mL / 1000 = liters
ppb x L = g L-1 x L = g
Once the trendline equation is obtained, the required calculations can be done in
following two steps-
Hence, Cd2+ content in dry clam (dry mass) = 0.137 mg Cd2+ per gram dry clam.
42 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Example 21: Allicin is a ~0.4 wt% component in garlic with antimicrobial and possibly
anticancer and antioxidant activity. It is unstable and therefore difficult to measure. An
assay was developed in which the stable precursor alliin is added to freshly crushed garlic
and converted to allicin by the enzyme
alliinase found in garlic. Components of the
garlic are extracted and measured by
chromatography. The chromatogram shows
standard additions reported as mg alliin
added per gram of garlic. The
chromatographic peak is allicin from the
conversion of alliin.
2 Alliin –(Alliinase)→ Allicin
MW of Alliin = 177.2 g mol-1
MW of Allicin = 162.3 g mol-1
a. The standard addition procedure has a
constant total volume. Measure the
responses in the figure and prepare a graph
to find how much alliin equivalent was in the
unspiked garlic. The units of your answer will
be mg alliin/g garlic. Find the 95% confidence
interval, as well.
b. Given that 2 mol of alliin is converted to 1
mol of allicin, find the allicin content of garlic
(mg allicin/g garlic) including the 95%
confidence interval.
Ans. The graph in question does not show the detector’s response to the respective alliin
concentrations. The detector’s responses need to be manually determined. The
approximate (but not exact) values of the respective detector’s response are calculated
using graph paper. Closer is the approximated detector’s response to the respective exact
value, greater would be the accuracy of the calculated result.
The detector’s responses and their respective [alliin] are tabulated below-
Spiked [Alliin], mg g-1 0.0 3.1 7.2 8.5 20.0 38.2
Detector’s response 1.766 2.394 2.922 3.403 5.516 9.434
Plot spiked [Alliin] from standard solutions of various aliquots vs respective detector’s
response, label the axes appropriately. Generate the trendline equation or linear
regression equation for the standard graph.
43 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Once the standard graph and corresponding trendline equation are generated, the
calculations can be done in the following steps-
44 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
45 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Example 22: Students performed an experiment like that in figure 5-7 in which each
flask contained 25.00 mL of serum, varying additions of 2.640 M NaCl standard, and a
total volume of 50.00 mL. The detector’s responses and their respective [Na+] are
tabulated below-
S. No. 1 2 3 4 5
Vol. of Standard Soln. (mL) 0 1.000 2.000 3.000 4.000
Signal (mV) 3.13 5.40 7.89 10.30 12.48
Ans. Create a data table as shown below to calculate [Na+] from various standard
additions. Plot [Na+] added from standard solutions of various aliquots vs signal, label the
axes appropriately. Generate the trendline equation or linear regression equation for the
standard graph.
46 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Once the trendline equation is obtained, the required calculations can be done in the
following steps-
47 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Example 23: Tooth enamel consists mainly of the mineral calcium hydroxyapatite,
Ca10(PO4)6(OH)2. Trace elements in teeth of archeological specimens provide
48 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
anthropologists with clues about diet and diseases of ancient people. Students at Hamline
University used atomic absorption spectroscopy to measure strontium from extracted
wisdom teeth. Solutions were prepared with a constant total volume of 10.0 mL containing
0.750 mg of dissolved tooth enamel plus variable concentrations of added Sr.
S. No. 1 2 3 4 5
Added Sr, ppb 0 2.50 5.00 7.50 10.00
Signal (AU) 28.0 34.3 42.8 51.5 58.6
a. Find the concentration of Sr and its uncertainty in the 10-mL sample solution in part
per billion, ppb (= ng mL-1).
b. Find the concentration Sr in tooth enamel in parts per million (g g-1).
c. If the standard addition intercept is the major source of uncertainty, find the uncertainty
in the concentration of Sr in the tooth enamel in ppm.
d. Find 95% confidence interval for Sr in tooth enamel.
Ans. Note that the final [Sr] in all the standard aliquots are already mentioned in the
question. Plot [Sr] added from standard solutions of various aliquots vs signal, label the
axes appropriately. Generate the trendline equation or linear regression equation for the
standard graph.
49 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
50 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Example 24: A series of volumetric flasks are being prepared for the analysis of mercury
in the drinking water supply using standard addition. To prepare flasks, 10 mL of drinking
water and a varying amount of standard are added to each flask, and the flasks are
brought to the 25.0 mL mark on the volumetric flask. The concentration of mercury
standard solution used was 20.0 micrograms per mL.
Use the data tabulated below to provide the concentration of mercury in the drinking
water in units of micrograms per mL.
51 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
S. No. 1 2 3 4 5 6
Standard [Hg] 0.00 1.00 2.00 3.00 4.00 5.00
Signal (AU) 19.65 30.35 40.28 49.78 60.44 70.06
Ans. Create a data table as shown below to calculate [Hg] from various standard additions.
Plot [Hg] added from standard solutions of various aliquots vs signal, label the axes
appropriately. Generate the trendline equation or linear regression equation for the
standard graph.
52 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
53 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
Rules for Error Propagation or Uncertainty Calculations:
54 Analyte Estimation using Spectrophotometric Methods and Excel © Neeraj Kumar BioChem Calculations
About the Author
Neeraj Kumar holds a master’s
degree in Biochemistry from HNB
Garhwal University, Uttarakhand,
India. He has worked as
Junior/Senior Research Fellow in
the Department of Biotechnology,
Govt. of India, sponsored project
entitled “Elucidating the
mechanisms involved in higher
feed efficiency of bovine species by
expression of the genes regulating
mitochondrial proton leak kinetics”
at ICAR-RCER, Patna, Bihar, India.
He also served as SRF in National Fisheries Development Board, Govt. of India, sponsored
project entitled “National Surveillance Program for Aquatic Animal Diseases” at the same
institute. He has research experiences and practical expertise in biochemical analytical
techniques, molecular biology techniques, microbiological techniques, proximate
analysis, etc. Currently, he works as a freelance subject matter expert for biology and
chemistry for a US-based education technology company.
Being an optimistic and incessant learner, he has started the BioChem Calculations project
to share his skills in solving numerical questions in the biology and chemistry subjects. He
is also working on a project to establish his own R&D laboratory facilities for the
cultivation of the medicinal mushroom Cordyceps militaris. This proposed lab will further
self-sponsor projects in the fields of agriculture and bioremediations.
The author welcomes all the critics and suggestions on the topics presented here. Please
feel free to send your suggestions to [email protected].