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The spectrophotometric analysis of mixtures with overlapping
absorption bands
J. SUSTEK
Research Instititte of Agrochemical Technology,
810 04 Bratislava
Received 16 March 1972
Accepted for publication 17 July 1972
The subject of this work was to estimate the precision and accuracy of the
results of the determination of the individual component concentrations
in their mixtures obtained by four absorption spectroscopic methods.
The spectrum of any substance can be expressed by a linear combination
or by a product of Lorentz or Gauss functions; therefore the spectrum
approximated by two overlapping Lorentz functions was used as the
model system. Small concentrations of unknown components were re
placed by a polynomial.
Provided that the La mb er t - Beer law and the law of the additivity of components
absorbances are valid, t he relationship between concentrations of the individual com
ponents and absorbance at analytical wavenumbers can be expressed in matrix no.ta
tion [I]
a = l( x c , (I)
where a - the column matrix c.f absorbances at wavenumbers g = l, 2, . .. , k,
K - the matrix of absorptivities ku1 of the components j = 1, 2, . . . , n at wa·e-
numbers g = 1, 2, . . . , k (matrix of the k x n type),
c - the column matrix of concentrations of the components j = 1, 2, . . . , n.
In the simplest case, when k = n, one wavenumber, usually corresponding to t he
maximum of an absorption band, is chosen for each component. Equation (J) t.lien
represents a system of n linear equations with n unknown concentrations at n different.
wavelengths.
The absorptivities k01 can be found as follows. Series of solutions of the individual
components are prepared, absorbances on their spectra are measured and then the line
i,;Jopes of the dependences of absorbances on concentration are estimated graphically
or calculated by the least-squares method [I, 2). In a favourable case when the spectrn
of the components do not overlap too much, the main diagonal elements of the matrix
of absorptivities are relatively large in comparison with other elements. The system
of equations represented by equation (J) can be solved by some common methods [3].
When the absorption bands of the individual components overlap to a large extent.,
this classical method is not efficient enough and the determined concentrations of com
ponents are imprecise and often inaccurate. Better results can be obtained by mean;;:
of overdetermined systems of equations together with the least-squares method. An o,·er
<letermined system of equations can be chosen by two different ways:
318 Cltein. zvtsti 21 (3) 318-:-326 (1973)
SPECTUOPHOTQ)lETRIC ANALYSIS OF ;IlXTUR ES
I . The mat rix K is obtained as described above, using the spectra of indi,·idual :
<;tan
dards, but t he absorbances are measured at more wavelengths (wavenumbers) t han
is the number of components [I, 4 - 7 ] . After Zscheile and co-·workers [8] the best res1ilts
are achie,·ed if maximum of the accessible wavelengths is used and the same ·as C(ln
cluded by Sternberg et al. [9]. Such method was applied by many ant.hors especinl ly
in the ultraviolet region where absorption bands are relatively broad and the precision
of the measurement of absorbances is high. Thus, reproducible measurements are possihle
there even at the sides of absorption bands.
2. Barnett and Bartoli [10] used the spectra of mixtures of the standards for calibrat.ion
instead of the individual standards, the number of calibration mixtures being grent.e1·
than the number of the components. The number of analytical wavelengths is eq ual
to the number of components. Niebergall and :
M attocks [ II] applied a similar procedu.-e
in the ultraviolet region. Absorbances were measured at the maximum of the ban<l
of each component. Such procedure removes problems occurring especially in the infrm-e1l
region. A number of the specific absorption bands for each component are usually avai 1-
able there but the Lambert - B e e r law is often not valid exactly and measurement.s
of absorbances at sharply sloped parts of absorption bands are not precise.
Vasilyet' [12] extended the validity of Barnett's and Bartoli's relationships for any
number of wavenumbers and expressed them in matrix notation. In other works [ 1 3 - Hi]
the generalization of the method of the analysis of multicomponent mixtures has been
theoretically worked out and practical application in u.v. and i.r. regions pointed ou t.
The method joins the advantages of the overdetermined system of equations ii1 the
number of calibration mixtures with those of overdetermination in analytical 'nve
numbers.
The aim of the present work is to compare the accuracy and precision of the above-crto<l
methods in relation to the extent of overlapping of absorption bands and to check t.lw
possibility of determination of the individual components from absorbances measu red.
at the sides of absorption bands in the infrared region.
Experimental
Precision and accuracy of the results of determination of the component concentrations
in the mixtures obtained by the methods chosen were studied on a model system and
verified on the binary mixture of chlorobenzene with o-dichlorobenzene. Two ov0rlapping
absorption bands were used as the model system which enabled to check the ' influence
of experimental errors on the determination of concentrations in a multicomponent.
mixture. Each band was expressed by the Lorentz function [16, 17]
A; = - - - Ao
- - -
-
4(ii - iio)2
I + - - - -
Lliir12
(
2)
where A ;
Ao
iio
- absorbance at frequency ii,
- absorbance at frequency iio,
- frequency at the maximum of the band,
.Jii11
2 - half-band width.
The influence of background [18, 19] causing deviations from the Lambert - B e e l·
law was approximated by the function
(lllem. Zt't8ti 27 (3) 318 - 3 2 6 (lj)73)
319
J. Sl'STEK
A;;(obs) = a( r - 1
•02) 2 - {
:
J
(1
' - vo2) + ? , (3)
where iio2 is the frequency at t he maximum of the second band. The coefficients °'•{J, J'
were estimated from the spectra of chlorobenzene and o-dichlorobenzene. Another
inaccuracy was brought in the model system by rounding off the values of A; to three
decimal places (which corresponded to the common precision of measured absorbances).
Numerical ,·alues representing the concentrations of the components in the calibration
solutions of standards. in the calibration mixtures and samples, as well as other para
meters were chosen to be similar to the parameters of the binary system chlorobenzene -
-o-dichlorobenzene, used in the infrared region (Ta ble 1).
Table 1
Compa rison of the model and expe1·imental parameters of the binary system
Lorentz functions
j = l j = 2
Chloro
benzene
j = l
o- Dichloro
benzene
j = 2
Parameter
iio [cm-1]
Region of spectrum [cm-']
Distances of maxima
Lliio = iio1 - iio2 [cm-I]
Distances of analytical wavenumbers
Llii = ii9 - 1
•9-1 [cm-1]
2.0 10.0
0 -1 2 . 0
8.0
737.6 746.2
Cma..x [% w/v] 0.5000 0.5000 0.4920 0.5030
Ao 0.750 0.550 0.714 0.551
Llii112 [cm-1] 4.0 4.5 5.7 5.3
735.4-748.4
/
8.72
2.0 2.18
.Model samples
The abso1·ba nces of model samples were calculated by t he same way as t he absorbances
of components of the binary model system. The matrices Bof ten chosen samples (m = 10;
1.:= 2 and 1.: = 7) were calculated to compare different methods. Total concent ration
of samples did not exceed the inten·al of 0.4952 - 0 . 5 0 2 5 0 w/v while the concentration
ratio of t he two components was always 0.2585 : 0.2415.
Binary system chlorobenzene -o-dichlorobenzene
The selected methods of the spect rophotometric analysis of mult icomponent mixtures
were applied to determine the mixt ure of chlorobenzene with o-dichlorobenzene in the
infrared region (720-760 cm- 1). MeastU'ements were perfonned on a double.beam
UNICAM SP-100 infrared spectrophotometer (NaCl prism) using 1-mm cells with NaCl
windows.
Standard solutions and calibrat ion mixttu·
es were prepared from the standards of the
individual components; redistilled carbon disulfide was used as a soln·nt. The concentra
tions of the standard solutions of chlorobenzene and o-dichlorobenzene ,·aried from
0.05 to 0.5% w/v. The concentration of chlorobenzene in calibl'ation mixtmes decreased
from 0.5111% w/v in the 1st mixture to 0% in the 21st one. The concentration of o-di
chlorobenzene was chosen so as to make the total sum of concent rations (cil + c;2)
equal to ca. 0.5000% w/·. The values of absorbances used for calculation of the calibra
tion data we1·e corrected for the solvent absorbances.
3 20 Che-111. zvesti 27 (3) 318-326 (1973)
SPECTROPHOTOMETRIC ANALYSIS OF MIXTURES
J
.lethods of calibration and calculations of the sample concentrations
M ethod I
The calibration data were calculated from the known concentrations of the solutions
of the individual standards and from the absorbances measured at the maxima of the
corresponding bands (wavenumbers 2 and 6). The arithmetic series of seven concentrations
t.aken from the interval of 0.07-0.5 % w/v was used. k9 1 and k g 2 were calculated by
minimalization of deviations from the Lambert - Beer law via the least-squares method
= =
[I, 2, 15]; the resulting matrix K was inverted to K - 1 •
The unknown concentrations of components in the samples were calculated by multi
plication of the transposed matrix x-1 by the matrix of the sample absorbances 'B
which were measured at wavenumbers 2 and 6 of the spectra of samples. The formula is
X = (J( - 1)T x B , (
4)
where X - the matrix of concentrations of the component.s j = l, 2, . . . , n in the samples
i = l, 2, . . . , m (type n x m),
B - the matrix of absorbances of the samples i = l, 2, . . . , m at waYenumbers
g = I, 2, .. . , k (t.ype k x m).
Method II
The matrix of absorptivities K ·was evaluated in the same way as in method I but
absorbances were measured also at the sides of the absorption bands (k = 7). The result
ing matrix ]( is a rectangular one, its inverse matrix is not defined. The required con
centrations of samples can be calculated by minimalization of the squares of absorbance
deviations with respect to concentrations [ l, 15, 20]
X = Q X B , (5)
where Q is the matrix (type n x k) for calculation of concentrations
Q = (KT x K ) - 1 x KT (5a)
Method I l l
The calibration data were obtained here by measurements of m = 21 mixtures of the
known composition. Concentrations of the first component decreased regularly from
0.5000% w/v in the lst mixture to 0% w/v in the 21st one while concentrations of the
second component increased at the same time from 0% to 0.5000% w/v. The total con
centration in any mixture was always 0.5000% w/v. The absorbances were measured
at two wavenumbers corresponding to the maxima of absorption bands of components .
The values obtained were arranged to form the matrix of concentrations C and the
matrix of absorbances A. Multiplying these matrices after equation (6) we can obtain
directly the matrix for calculation of concentrations [15]
Q = 0 X QT X (A X Q T )-1 , (
6)
where C - the matrix of concentrations of the components j = I , 2, . . . , n in the mixtures
i = 1, 2, .. ., m (type n x m),
Chem. zvesti 27 (3) 318-326 (1973)
A - the matrix of absorbances of the mixtures i = I , 2, .. . , m at wavenumberil
g = l , 2, . . . , k (type k X m).
The concentrations of components in the samples were calculated after equation (5).
3Iethod IV
The calibration data were calculated from absorbances obtained as in method I I I
supplemented by absorbances measured at the sides of absorg tion bands (k = 7) of ca
libration mixtures composed as in method I I I . The matrix Q was calculated after the
following formula, derived for the case k > n [15]
- - - = -
Q = c x CT x (C x AT x A x CT)-l x c x AT (6a)
The concentrations of components in the samples were again calculated afoer equa
tion (5).
uethod V
The matrix Q was calculated in the same way as in method I V but instead of tho
matrices C and A (m = 21) their submatrices (m = 7, mixtures 8 - 1 4 ) were used. !"or the
calculation of the concentrations of components equation (5) was used.
Remarks
Other two model systems and model samples were studied to compare the efficiency
of methods I - V in dependence on the extent of overlapping of the absorption bandil.
The distances of maxima of two Lorentz bands were 4.0 cm-1 (iio1 = 4 cm-1 , iio2 =
= 8 cm-1) and 12.0 cm-1 (iio1 = 0 cm-1, iio2 = 12 cm-1) , respectively. The other para
meters were the same as it was with a maxima distance of 8.0 cm-1 .
A desk calculator ELKA 6521 was used for the calculations of methods I and I I
and a digital computer GIER (Regnecentralen) for the methods I II , I V, and V. The
computer programme was written in ALGOL; version GIER-ALGOL 4 [21].
Results and discussion
The accuracy of results of the above-listed methods was compared by means of the
relative errors of concentration determinations L
I
<
%
>Ji , calculated from the formula
(7)
where c11 - the known concentration of the component j = l, 2, . . . , n in the sample
i = l, 2, . . . , m,
x11 - the determined concentration of the component j = 1, 2, . . . , n in the sample
i = 1, 2, . . . , m.
The criteria of precision of the achieved results were standard deviations of the con
centration determinations of components from their known values
SJ =
V
- - - - - - ,
m
i l (XJi - CJ1)
2
(S)
where m is the number of determinations.
322 Cheni. zveati 21 (3) 318-326 (1973)
Ul
'ti
l'j
?
!
Table
2
Concentrations
determined
by
methods
I
-
V
Chlorobenzene-o-dichlorobenzeno
(")
.
.
...
;
i:;j
!
.
.
.
.
"
0
'ti
0
...;
0
l'j
CIJ
•
10
2
[%
w/v]
"
.
..
"
.
>'l
i:;j
00
I
Xtl
X;2
(
"
"
"
)
'
>
-
:.
.-
"
"
"
'
fl
Ci2
-
"
;::
'
;
"
..
,
'
,
I
I
I
II
I
I
V
v
I
I
I
II
I
I
V
v
t
-
"
:
"
:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
51.11
48.37
45.61
42.36
40.32
36.49
36.78
32.02
30.65
27.34
25.65
22.59
20.64
16.87
14.38
12.44
9.68
7.32
6.64
2.80
-
50.34
47.81
45.52
42.50
39.79
36.72
37.40
32.55
31.46
27.91
26.39
23.42
21.30
17.78
14.87
13.09
10.37
7.99
7.16
3.41
-0.04
50.20
47.88
45.59
42.47
39.90
36.92
37.51
32.53
31.55
28.06
26.47
23.40
21.38
17.96
15.13
13.29
10.61
8.16
7.25
3.52
-0.06
50.45
47.85
45.51
42.45
39.71
36.60
37.22
32.31
31.19
27.58
26.00
23.03
20.84
17.25
14.31
12.48
9.71
7.28
6.43
2.65
-0.88
50.30
47.89
45.55
42.37
39.78
36.75
37.26
32.22
31.20
27.65
25.98
23.01
20.81
17.31
14.46
12.54
9.81
7.31
6.36
2.50
-1.08
51.05
48.37
45.86
42.51
39.80
36.57
36.88
31.88
30.86
27.30
25.63
22.67
20.46
16.96
14.17
12.40
9.85
7.51
6.62
3.07
-0.35
-
3.15
5.87
8.14
9.78
11.83
15.21
17.99
19.88
23.28
26.30
26.97
30.28
33.40
35.62
38.31
41.28
43.27
45.09
47.37
50.56
-0.07
3.75
6.20
8.44
9.84
11.99
15.80
18.47
20.09
23.28
26.65
26.36
30.15
33.69
35.02
38.32
40.89
42.99
44.68
46.17
50.25
0.11
3.91
6.26
8.56
9.90
12.29
15.98
18.65
20.36
23.43
26.84
26.60
30.34
33.80
35.12
38.47
41.09
43.10
44.61
46.12
50.13
-0.54
3.34
5.83
8.12
9.56
11.77
15.62
18.35
20.01
23.26
26.68
26.42
30.26
33.88
35.25
38.60
41.23
43.37
45.08
46.62
50.78
-0.76
3.33
5.74
8.09
9.47
11.93
15.66
18.41
20.14
23.29
26.76
26.55
30.35
33.89
35.26
38.66
41.34
43.40
44.95
46.51
50.61
-0.29
3.64
5.92
8.12
9.43
11.78
15.36
18.18
19.93
23.10
26.57
26.38
30.18
33.75
35.23
38.68
41.40
43.51
45.09
46.71
50.88
w
"
"
"
'
'
0
"J
B
d
l'j
w
NI
ti-
:1
J. St:sTEK
Table 3
A·erages of the absolute Yalues of relative errors of the determination
of component concentrations by met.hods I - V
Com-
po-
nent
j
L
fr°'.J i [%]
System
Chlorobenzene-o-dichlorobenzene
Model system .d
V
"o = 8 cm-1
:Model system .dV'o = 4 cm-1
)fodel system Lliio = 12 cm-1
1
2
1
2
1
2
1
2
Table 4
Standard deYiations of the concentration determinations of components
by methods I - V
Com-
po-
nent
j
BJ• 103 [% w/v]
System
Chlorobenzene-o-dichlorobenzene
:Model system .dv0 = 8 cm-1
Model system .dvo = 4 cm-1
Model system .dvo = 12 cm-1
1
2
1
2
1
2
1
2
Table 2 shows the known concentrations of chlorobenzene (the component J) and
o-dichlorobenzene (the component 2) in the mixtures 1 - 2 1 and the concentrations
determined by methods I - V. The results of method V were calculated by means of the
submatrices i = 1 - 7 , 8 - 1 4 , 1 5 - 2 1 . The averages of absolute values of relative errors
of the concentration determinations L
r
<
%
>1 are shown in Table 3, standard deviations
of the concentration determinations BJ are in Table 4.
The accuracy and precision of the cbtermination of the binary mixture chlorobenzene
- o-dichlorobenzcnc were appreciably higher in methods I I I - V where calibration was
made by mixtures. However, an independent set of data was used for calibration in
methods I and I I (calibration by the individual standards) while a regressive calculation
of concentrations of the calibration mixtures was, in fact, performed in methods I I I - V.
The increase in wavenumbers resulted in a decrease of the precision and accuracy of de
terminations, obviously due to the errors of absorbances measured at the sides of the
absorption bands.
As follows from the L
r
<
%
>1 and SJ values of the model system (the distance of maxima
324 Chem. zvesti 27 (3) 318 - 3 2 6 (1!>73)
I
6.034
II
7.082
II I
3.833
IV
4.225
v
1.944
4.422 5.041 3.251 6.684 3.084
2.307 1.364 0.548 0.520 0.346
1.449 0.424 0.458 0.387 0.374
4.395 1.281 0.436 0.510 0.346
7.058 0.480 0.374 0.361 0.361
1.095 0.245 0.224 0.224 0.300
1.296 0.787 0.469 0.412 0.400
I II III IV v
4.1444 4.9862 1.3036 1.5388 1.0992
2.5086 3.2443 1.2164 1.4401 1.6623
0.8830 0.5151 0.1740 0.1702 0.1083
0.5886 0.1370 0.1578 0.1287 0.1204
1.7010 0.4881 0.1510 0.1782 0.1084
2.9238 0.1742 0.1203 0.1244 0.1285
0.4184 0.0736 0.0697 0.0580 0.0968
0.5095 0.2982 0.1614 0.1490 0.1448
SPECTROPHOTOMETRIC ANALYSIS OF :IIXTURES
8 cm-I ) , the accuracy and precision of determinations increase in accordance with the
sequence of the listed methods. The increase in wavenumbers has a clean-cut influence
only on the calibration by individual standards.
The results achieved in both cases by method F proved that the nanowed concentra
tion range of calibration mixtures may improve precision and accuracy, even when
a markedly lower number of calibrat.ion mixtures was used.
An influence of t.he overlapping of absorption bands on the precision and accuracy
of determinations can be deduced from a comparison of the results for all model systems.
When overlapping is larger (.d iio = 4 cm-1 ) , the calibrat.ion by mixtures is more advan
tageous while the increase in wavenumbers influences only the calibration by individual
standards. Smaller overlapping (.1vo = 12 cm - 1 ) brings about a slight improvement
of precision and accuracy, parallel to the sequence of the above methods. Markedly
improved are only the results of method I , which are the least precise and accurate .
On the basis of the achieved results it can be concluded that calibration by mixtures
increases substantially the precision and accuracy of the analysis of mixtm·es with
overlapping absorption bands. Furthermore, even the absorbances measured at the sides
of overlapping absorption bands can be used in the systems overdetermined in wave
numbers (k > n) if they are measured with sufficient precision. This can be reached
g.by means of a spectrophotometer with a digital recorder of absorbances measured at
a great nw11ber of wavenumbers. The obtained values are processed by mathematical
filtration in a computer [22). An optimalization procedure is applied to choose the optimal
analytical wavenurnbers and the corresponding absorbances are used for calculation
of calibration data or concentrations of components in the samples.
Acknowled gements. The authw is indebted to Dr JI. Li1•ar , Institute of Chemistry, Ko
mensky Unfrersit y , Bratislava and to Dr 0 . Schiess[ , Research Institute of Wood, Bratislai•a
for their helpful w m m nts and for p1·aL"'iding us with their programmes.
References
I.Bauman , R . P., Absorption Spectroswpy, Chapter 9. J . Wiley, Xew York, 1967.
2. :M:aw·ice, M. J., Z. Anal. Chem. 204, 401 (1964).
3.Rektorys, K., P fehW.l uzite matematiky. (The Review of Applied Mathematics .)
Statni nakladatelstvi technicke literatury. (State Publishing House of Technical
Literature.) Prague , 1963.
4. Bauman , R.. P., Appl . Spectrosc. 13, 156 (1959).
5. Herschberg, I. S. and Sixma, F. L. J., Koninkl. Ned. Akad . Wetenschap. Proc. B, 65,
244 (1962).
6. Herschberg, I . S., Z. Anal. Chem. 205, 180 (1964).
7. Doerffel, K ., Kugler, P., and Binder, H . J . , Z. Chem. (Leipzig) 6, 155 (1966).
8. Zscheile, E. P., Murray, H. C., Baker, G. A., and Peddicord, R. G., Anal. Chem. 34,
1776 (1962).
9.Sternberg, J . C., Stillo, H. S., and Schwendeman, R . H., Anal . Chem. 32, 84 (1960).
10. Barnett , H. A. and Bartoli, A., Anal. Chem. 32, 1153 (1960).
11. Niebergall, P. J . and :Mattocks, A. M., Dru.g Stanllards 28, 61 (1960).
12. Vasilyev , A. F., Zavod. Lab. 31, 677 (1965).
13. Przybylski, Z., Chem. Anal. (Warsaw ) 13, 453 (1968).
14. Rossler, I., K rantitatimi infraceri-ena spektroskopwk<i analyza. (Quantitative Infrared
Spectroscopic Analysis.) P. 53. Statni nakladatelstvi technicke literatury. (Sta.te
Publishing House of Technical Literature.) Prague, 1970.
CMm. zvesti 21 (3) 318-326 (1973)
325
J . SliSTEK
15.8ustek, J ., Livar, M., and Schiess!, 0., Chem. Listy 66, 168 (1972).
16. Audo, D ., Arnaud, P ., and Armand, Y., J. Jvlol. Stmct . 2, 287, 409 (1968).
17.Seshadri, K. S. and Jones, R. N., Spectrochim. Acta 19, 1013 (1963).
18. Stone, H., J. Opt. Soc. Amer. 52, 998 (1962).
19. Papousek, D. and Pliva, J., Collect. Czech. Chem. Commun. 30, 3007 (1965).
20. Przybylski, Z. and Kramarz, J., Chem. Anal. (Warsaw) 13, 249 (1968).
21. Schiess!, 0., unpublished Program SAM Z -L 1968.
22. Livar, M. and Sustek, J., Z . Anal. Chem., in press.
Trunslatecl by F. Kopecky
326 Chem. zveilti 27 (3) 316 -326 (1973)

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273a318

  • 1. The spectrophotometric analysis of mixtures with overlapping absorption bands J. SUSTEK Research Instititte of Agrochemical Technology, 810 04 Bratislava Received 16 March 1972 Accepted for publication 17 July 1972 The subject of this work was to estimate the precision and accuracy of the results of the determination of the individual component concentrations in their mixtures obtained by four absorption spectroscopic methods. The spectrum of any substance can be expressed by a linear combination or by a product of Lorentz or Gauss functions; therefore the spectrum approximated by two overlapping Lorentz functions was used as the model system. Small concentrations of unknown components were re placed by a polynomial. Provided that the La mb er t - Beer law and the law of the additivity of components absorbances are valid, t he relationship between concentrations of the individual com ponents and absorbance at analytical wavenumbers can be expressed in matrix no.ta tion [I] a = l( x c , (I) where a - the column matrix c.f absorbances at wavenumbers g = l, 2, . .. , k, K - the matrix of absorptivities ku1 of the components j = 1, 2, . . . , n at wa·e- numbers g = 1, 2, . . . , k (matrix of the k x n type), c - the column matrix of concentrations of the components j = 1, 2, . . . , n. In the simplest case, when k = n, one wavenumber, usually corresponding to t he maximum of an absorption band, is chosen for each component. Equation (J) t.lien represents a system of n linear equations with n unknown concentrations at n different. wavelengths. The absorptivities k01 can be found as follows. Series of solutions of the individual components are prepared, absorbances on their spectra are measured and then the line i,;Jopes of the dependences of absorbances on concentration are estimated graphically or calculated by the least-squares method [I, 2). In a favourable case when the spectrn of the components do not overlap too much, the main diagonal elements of the matrix of absorptivities are relatively large in comparison with other elements. The system of equations represented by equation (J) can be solved by some common methods [3]. When the absorption bands of the individual components overlap to a large extent., this classical method is not efficient enough and the determined concentrations of com ponents are imprecise and often inaccurate. Better results can be obtained by mean;;: of overdetermined systems of equations together with the least-squares method. An o,·er <letermined system of equations can be chosen by two different ways: 318 Cltein. zvtsti 21 (3) 318-:-326 (1973)
  • 2. SPECTUOPHOTQ)lETRIC ANALYSIS OF ;IlXTUR ES I . The mat rix K is obtained as described above, using the spectra of indi,·idual : <;tan dards, but t he absorbances are measured at more wavelengths (wavenumbers) t han is the number of components [I, 4 - 7 ] . After Zscheile and co-·workers [8] the best res1ilts are achie,·ed if maximum of the accessible wavelengths is used and the same ·as C(ln cluded by Sternberg et al. [9]. Such method was applied by many ant.hors especinl ly in the ultraviolet region where absorption bands are relatively broad and the precision of the measurement of absorbances is high. Thus, reproducible measurements are possihle there even at the sides of absorption bands. 2. Barnett and Bartoli [10] used the spectra of mixtures of the standards for calibrat.ion instead of the individual standards, the number of calibration mixtures being grent.e1· than the number of the components. The number of analytical wavelengths is eq ual to the number of components. Niebergall and : M attocks [ II] applied a similar procedu.-e in the ultraviolet region. Absorbances were measured at the maximum of the ban<l of each component. Such procedure removes problems occurring especially in the infrm-e1l region. A number of the specific absorption bands for each component are usually avai 1- able there but the Lambert - B e e r law is often not valid exactly and measurement.s of absorbances at sharply sloped parts of absorption bands are not precise. Vasilyet' [12] extended the validity of Barnett's and Bartoli's relationships for any number of wavenumbers and expressed them in matrix notation. In other works [ 1 3 - Hi] the generalization of the method of the analysis of multicomponent mixtures has been theoretically worked out and practical application in u.v. and i.r. regions pointed ou t. The method joins the advantages of the overdetermined system of equations ii1 the number of calibration mixtures with those of overdetermination in analytical 'nve numbers. The aim of the present work is to compare the accuracy and precision of the above-crto<l methods in relation to the extent of overlapping of absorption bands and to check t.lw possibility of determination of the individual components from absorbances measu red. at the sides of absorption bands in the infrared region. Experimental Precision and accuracy of the results of determination of the component concentrations in the mixtures obtained by the methods chosen were studied on a model system and verified on the binary mixture of chlorobenzene with o-dichlorobenzene. Two ov0rlapping absorption bands were used as the model system which enabled to check the ' influence of experimental errors on the determination of concentrations in a multicomponent. mixture. Each band was expressed by the Lorentz function [16, 17] A; = - - - Ao - - - - 4(ii - iio)2 I + - - - - Lliir12 ( 2) where A ; Ao iio - absorbance at frequency ii, - absorbance at frequency iio, - frequency at the maximum of the band, .Jii11 2 - half-band width. The influence of background [18, 19] causing deviations from the Lambert - B e e l· law was approximated by the function (lllem. Zt't8ti 27 (3) 318 - 3 2 6 (lj)73) 319
  • 3. J. Sl'STEK A;;(obs) = a( r - 1 •02) 2 - { : J (1 ' - vo2) + ? , (3) where iio2 is the frequency at t he maximum of the second band. The coefficients °'•{J, J' were estimated from the spectra of chlorobenzene and o-dichlorobenzene. Another inaccuracy was brought in the model system by rounding off the values of A; to three decimal places (which corresponded to the common precision of measured absorbances). Numerical ,·alues representing the concentrations of the components in the calibration solutions of standards. in the calibration mixtures and samples, as well as other para meters were chosen to be similar to the parameters of the binary system chlorobenzene - -o-dichlorobenzene, used in the infrared region (Ta ble 1). Table 1 Compa rison of the model and expe1·imental parameters of the binary system Lorentz functions j = l j = 2 Chloro benzene j = l o- Dichloro benzene j = 2 Parameter iio [cm-1] Region of spectrum [cm-'] Distances of maxima Lliio = iio1 - iio2 [cm-I] Distances of analytical wavenumbers Llii = ii9 - 1 •9-1 [cm-1] 2.0 10.0 0 -1 2 . 0 8.0 737.6 746.2 Cma..x [% w/v] 0.5000 0.5000 0.4920 0.5030 Ao 0.750 0.550 0.714 0.551 Llii112 [cm-1] 4.0 4.5 5.7 5.3 735.4-748.4 / 8.72 2.0 2.18 .Model samples The abso1·ba nces of model samples were calculated by t he same way as t he absorbances of components of the binary model system. The matrices Bof ten chosen samples (m = 10; 1.:= 2 and 1.: = 7) were calculated to compare different methods. Total concent ration of samples did not exceed the inten·al of 0.4952 - 0 . 5 0 2 5 0 w/v while the concentration ratio of t he two components was always 0.2585 : 0.2415. Binary system chlorobenzene -o-dichlorobenzene The selected methods of the spect rophotometric analysis of mult icomponent mixtures were applied to determine the mixt ure of chlorobenzene with o-dichlorobenzene in the infrared region (720-760 cm- 1). MeastU'ements were perfonned on a double.beam UNICAM SP-100 infrared spectrophotometer (NaCl prism) using 1-mm cells with NaCl windows. Standard solutions and calibrat ion mixttu· es were prepared from the standards of the individual components; redistilled carbon disulfide was used as a soln·nt. The concentra tions of the standard solutions of chlorobenzene and o-dichlorobenzene ,·aried from 0.05 to 0.5% w/v. The concentration of chlorobenzene in calibl'ation mixtmes decreased from 0.5111% w/v in the 1st mixture to 0% in the 21st one. The concentration of o-di chlorobenzene was chosen so as to make the total sum of concent rations (cil + c;2) equal to ca. 0.5000% w/·. The values of absorbances used for calculation of the calibra tion data we1·e corrected for the solvent absorbances. 3 20 Che-111. zvesti 27 (3) 318-326 (1973)
  • 4. SPECTROPHOTOMETRIC ANALYSIS OF MIXTURES J .lethods of calibration and calculations of the sample concentrations M ethod I The calibration data were calculated from the known concentrations of the solutions of the individual standards and from the absorbances measured at the maxima of the corresponding bands (wavenumbers 2 and 6). The arithmetic series of seven concentrations t.aken from the interval of 0.07-0.5 % w/v was used. k9 1 and k g 2 were calculated by minimalization of deviations from the Lambert - Beer law via the least-squares method = = [I, 2, 15]; the resulting matrix K was inverted to K - 1 • The unknown concentrations of components in the samples were calculated by multi plication of the transposed matrix x-1 by the matrix of the sample absorbances 'B which were measured at wavenumbers 2 and 6 of the spectra of samples. The formula is X = (J( - 1)T x B , ( 4) where X - the matrix of concentrations of the component.s j = l, 2, . . . , n in the samples i = l, 2, . . . , m (type n x m), B - the matrix of absorbances of the samples i = l, 2, . . . , m at waYenumbers g = I, 2, .. . , k (t.ype k x m). Method II The matrix of absorptivities K ·was evaluated in the same way as in method I but absorbances were measured also at the sides of the absorption bands (k = 7). The result ing matrix ]( is a rectangular one, its inverse matrix is not defined. The required con centrations of samples can be calculated by minimalization of the squares of absorbance deviations with respect to concentrations [ l, 15, 20] X = Q X B , (5) where Q is the matrix (type n x k) for calculation of concentrations Q = (KT x K ) - 1 x KT (5a) Method I l l The calibration data were obtained here by measurements of m = 21 mixtures of the known composition. Concentrations of the first component decreased regularly from 0.5000% w/v in the lst mixture to 0% w/v in the 21st one while concentrations of the second component increased at the same time from 0% to 0.5000% w/v. The total con centration in any mixture was always 0.5000% w/v. The absorbances were measured at two wavenumbers corresponding to the maxima of absorption bands of components . The values obtained were arranged to form the matrix of concentrations C and the matrix of absorbances A. Multiplying these matrices after equation (6) we can obtain directly the matrix for calculation of concentrations [15] Q = 0 X QT X (A X Q T )-1 , ( 6) where C - the matrix of concentrations of the components j = I , 2, . . . , n in the mixtures i = 1, 2, .. ., m (type n x m), Chem. zvesti 27 (3) 318-326 (1973)
  • 5. A - the matrix of absorbances of the mixtures i = I , 2, .. . , m at wavenumberil g = l , 2, . . . , k (type k X m). The concentrations of components in the samples were calculated after equation (5). 3Iethod IV The calibration data were calculated from absorbances obtained as in method I I I supplemented by absorbances measured at the sides of absorg tion bands (k = 7) of ca libration mixtures composed as in method I I I . The matrix Q was calculated after the following formula, derived for the case k > n [15] - - - = - Q = c x CT x (C x AT x A x CT)-l x c x AT (6a) The concentrations of components in the samples were again calculated afoer equa tion (5). uethod V The matrix Q was calculated in the same way as in method I V but instead of tho matrices C and A (m = 21) their submatrices (m = 7, mixtures 8 - 1 4 ) were used. !"or the calculation of the concentrations of components equation (5) was used. Remarks Other two model systems and model samples were studied to compare the efficiency of methods I - V in dependence on the extent of overlapping of the absorption bandil. The distances of maxima of two Lorentz bands were 4.0 cm-1 (iio1 = 4 cm-1 , iio2 = = 8 cm-1) and 12.0 cm-1 (iio1 = 0 cm-1, iio2 = 12 cm-1) , respectively. The other para meters were the same as it was with a maxima distance of 8.0 cm-1 . A desk calculator ELKA 6521 was used for the calculations of methods I and I I and a digital computer GIER (Regnecentralen) for the methods I II , I V, and V. The computer programme was written in ALGOL; version GIER-ALGOL 4 [21]. Results and discussion The accuracy of results of the above-listed methods was compared by means of the relative errors of concentration determinations L I < % >Ji , calculated from the formula (7) where c11 - the known concentration of the component j = l, 2, . . . , n in the sample i = l, 2, . . . , m, x11 - the determined concentration of the component j = 1, 2, . . . , n in the sample i = 1, 2, . . . , m. The criteria of precision of the achieved results were standard deviations of the con centration determinations of components from their known values SJ = V - - - - - - , m i l (XJi - CJ1) 2 (S) where m is the number of determinations. 322 Cheni. zveati 21 (3) 318-326 (1973)
  • 6. Ul 'ti l'j ? ! Table 2 Concentrations determined by methods I - V Chlorobenzene-o-dichlorobenzeno (") . . ... ; i:;j ! . . . . " 0 'ti 0 ...; 0 l'j CIJ • 10 2 [% w/v] " . .. " . >'l i:;j 00 I Xtl X;2 ( " " " ) ' > - :. .- " " " ' fl Ci2 - " ;:: ' ; " .. , ' , I I I II I I V v I I I II I I V v t - " : " : 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 51.11 48.37 45.61 42.36 40.32 36.49 36.78 32.02 30.65 27.34 25.65 22.59 20.64 16.87 14.38 12.44 9.68 7.32 6.64 2.80 - 50.34 47.81 45.52 42.50 39.79 36.72 37.40 32.55 31.46 27.91 26.39 23.42 21.30 17.78 14.87 13.09 10.37 7.99 7.16 3.41 -0.04 50.20 47.88 45.59 42.47 39.90 36.92 37.51 32.53 31.55 28.06 26.47 23.40 21.38 17.96 15.13 13.29 10.61 8.16 7.25 3.52 -0.06 50.45 47.85 45.51 42.45 39.71 36.60 37.22 32.31 31.19 27.58 26.00 23.03 20.84 17.25 14.31 12.48 9.71 7.28 6.43 2.65 -0.88 50.30 47.89 45.55 42.37 39.78 36.75 37.26 32.22 31.20 27.65 25.98 23.01 20.81 17.31 14.46 12.54 9.81 7.31 6.36 2.50 -1.08 51.05 48.37 45.86 42.51 39.80 36.57 36.88 31.88 30.86 27.30 25.63 22.67 20.46 16.96 14.17 12.40 9.85 7.51 6.62 3.07 -0.35 - 3.15 5.87 8.14 9.78 11.83 15.21 17.99 19.88 23.28 26.30 26.97 30.28 33.40 35.62 38.31 41.28 43.27 45.09 47.37 50.56 -0.07 3.75 6.20 8.44 9.84 11.99 15.80 18.47 20.09 23.28 26.65 26.36 30.15 33.69 35.02 38.32 40.89 42.99 44.68 46.17 50.25 0.11 3.91 6.26 8.56 9.90 12.29 15.98 18.65 20.36 23.43 26.84 26.60 30.34 33.80 35.12 38.47 41.09 43.10 44.61 46.12 50.13 -0.54 3.34 5.83 8.12 9.56 11.77 15.62 18.35 20.01 23.26 26.68 26.42 30.26 33.88 35.25 38.60 41.23 43.37 45.08 46.62 50.78 -0.76 3.33 5.74 8.09 9.47 11.93 15.66 18.41 20.14 23.29 26.76 26.55 30.35 33.89 35.26 38.66 41.34 43.40 44.95 46.51 50.61 -0.29 3.64 5.92 8.12 9.43 11.78 15.36 18.18 19.93 23.10 26.57 26.38 30.18 33.75 35.23 38.68 41.40 43.51 45.09 46.71 50.88 w " " " ' ' 0 "J B d l'j w NI ti- :1
  • 7. J. St:sTEK Table 3 A·erages of the absolute Yalues of relative errors of the determination of component concentrations by met.hods I - V Com- po- nent j L fr°'.J i [%] System Chlorobenzene-o-dichlorobenzene Model system .d V "o = 8 cm-1 :Model system .dV'o = 4 cm-1 )fodel system Lliio = 12 cm-1 1 2 1 2 1 2 1 2 Table 4 Standard deYiations of the concentration determinations of components by methods I - V Com- po- nent j BJ• 103 [% w/v] System Chlorobenzene-o-dichlorobenzene :Model system .dv0 = 8 cm-1 Model system .dvo = 4 cm-1 Model system .dvo = 12 cm-1 1 2 1 2 1 2 1 2 Table 2 shows the known concentrations of chlorobenzene (the component J) and o-dichlorobenzene (the component 2) in the mixtures 1 - 2 1 and the concentrations determined by methods I - V. The results of method V were calculated by means of the submatrices i = 1 - 7 , 8 - 1 4 , 1 5 - 2 1 . The averages of absolute values of relative errors of the concentration determinations L r < % >1 are shown in Table 3, standard deviations of the concentration determinations BJ are in Table 4. The accuracy and precision of the cbtermination of the binary mixture chlorobenzene - o-dichlorobenzcnc were appreciably higher in methods I I I - V where calibration was made by mixtures. However, an independent set of data was used for calibration in methods I and I I (calibration by the individual standards) while a regressive calculation of concentrations of the calibration mixtures was, in fact, performed in methods I I I - V. The increase in wavenumbers resulted in a decrease of the precision and accuracy of de terminations, obviously due to the errors of absorbances measured at the sides of the absorption bands. As follows from the L r < % >1 and SJ values of the model system (the distance of maxima 324 Chem. zvesti 27 (3) 318 - 3 2 6 (1!>73) I 6.034 II 7.082 II I 3.833 IV 4.225 v 1.944 4.422 5.041 3.251 6.684 3.084 2.307 1.364 0.548 0.520 0.346 1.449 0.424 0.458 0.387 0.374 4.395 1.281 0.436 0.510 0.346 7.058 0.480 0.374 0.361 0.361 1.095 0.245 0.224 0.224 0.300 1.296 0.787 0.469 0.412 0.400 I II III IV v 4.1444 4.9862 1.3036 1.5388 1.0992 2.5086 3.2443 1.2164 1.4401 1.6623 0.8830 0.5151 0.1740 0.1702 0.1083 0.5886 0.1370 0.1578 0.1287 0.1204 1.7010 0.4881 0.1510 0.1782 0.1084 2.9238 0.1742 0.1203 0.1244 0.1285 0.4184 0.0736 0.0697 0.0580 0.0968 0.5095 0.2982 0.1614 0.1490 0.1448
  • 8. SPECTROPHOTOMETRIC ANALYSIS OF :IIXTURES 8 cm-I ) , the accuracy and precision of determinations increase in accordance with the sequence of the listed methods. The increase in wavenumbers has a clean-cut influence only on the calibration by individual standards. The results achieved in both cases by method F proved that the nanowed concentra tion range of calibration mixtures may improve precision and accuracy, even when a markedly lower number of calibrat.ion mixtures was used. An influence of t.he overlapping of absorption bands on the precision and accuracy of determinations can be deduced from a comparison of the results for all model systems. When overlapping is larger (.d iio = 4 cm-1 ) , the calibrat.ion by mixtures is more advan tageous while the increase in wavenumbers influences only the calibration by individual standards. Smaller overlapping (.1vo = 12 cm - 1 ) brings about a slight improvement of precision and accuracy, parallel to the sequence of the above methods. Markedly improved are only the results of method I , which are the least precise and accurate . On the basis of the achieved results it can be concluded that calibration by mixtures increases substantially the precision and accuracy of the analysis of mixtm·es with overlapping absorption bands. Furthermore, even the absorbances measured at the sides of overlapping absorption bands can be used in the systems overdetermined in wave numbers (k > n) if they are measured with sufficient precision. This can be reached g.by means of a spectrophotometer with a digital recorder of absorbances measured at a great nw11ber of wavenumbers. The obtained values are processed by mathematical filtration in a computer [22). An optimalization procedure is applied to choose the optimal analytical wavenurnbers and the corresponding absorbances are used for calculation of calibration data or concentrations of components in the samples. Acknowled gements. The authw is indebted to Dr JI. Li1•ar , Institute of Chemistry, Ko mensky Unfrersit y , Bratislava and to Dr 0 . Schiess[ , Research Institute of Wood, Bratislai•a for their helpful w m m nts and for p1·aL"'iding us with their programmes. References I.Bauman , R . P., Absorption Spectroswpy, Chapter 9. J . Wiley, Xew York, 1967. 2. :M:aw·ice, M. J., Z. Anal. Chem. 204, 401 (1964). 3.Rektorys, K., P fehW.l uzite matematiky. (The Review of Applied Mathematics .) Statni nakladatelstvi technicke literatury. (State Publishing House of Technical Literature.) Prague , 1963. 4. Bauman , R.. P., Appl . Spectrosc. 13, 156 (1959). 5. Herschberg, I. S. and Sixma, F. L. J., Koninkl. Ned. Akad . Wetenschap. Proc. B, 65, 244 (1962). 6. Herschberg, I . S., Z. Anal. Chem. 205, 180 (1964). 7. Doerffel, K ., Kugler, P., and Binder, H . J . , Z. Chem. (Leipzig) 6, 155 (1966). 8. Zscheile, E. P., Murray, H. C., Baker, G. A., and Peddicord, R. G., Anal. Chem. 34, 1776 (1962). 9.Sternberg, J . C., Stillo, H. S., and Schwendeman, R . H., Anal . Chem. 32, 84 (1960). 10. Barnett , H. A. and Bartoli, A., Anal. Chem. 32, 1153 (1960). 11. Niebergall, P. J . and :Mattocks, A. M., Dru.g Stanllards 28, 61 (1960). 12. Vasilyev , A. F., Zavod. Lab. 31, 677 (1965). 13. Przybylski, Z., Chem. Anal. (Warsaw ) 13, 453 (1968). 14. Rossler, I., K rantitatimi infraceri-ena spektroskopwk<i analyza. (Quantitative Infrared Spectroscopic Analysis.) P. 53. Statni nakladatelstvi technicke literatury. (Sta.te Publishing House of Technical Literature.) Prague, 1970. CMm. zvesti 21 (3) 318-326 (1973) 325
  • 9. J . SliSTEK 15.8ustek, J ., Livar, M., and Schiess!, 0., Chem. Listy 66, 168 (1972). 16. Audo, D ., Arnaud, P ., and Armand, Y., J. Jvlol. Stmct . 2, 287, 409 (1968). 17.Seshadri, K. S. and Jones, R. N., Spectrochim. Acta 19, 1013 (1963). 18. Stone, H., J. Opt. Soc. Amer. 52, 998 (1962). 19. Papousek, D. and Pliva, J., Collect. Czech. Chem. Commun. 30, 3007 (1965). 20. Przybylski, Z. and Kramarz, J., Chem. Anal. (Warsaw) 13, 249 (1968). 21. Schiess!, 0., unpublished Program SAM Z -L 1968. 22. Livar, M. and Sustek, J., Z . Anal. Chem., in press. Trunslatecl by F. Kopecky 326 Chem. zveilti 27 (3) 316 -326 (1973)