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PUBLISHED DATE: - 26-09-2024
https://doi.org/10.37547/tajet/Volume06Issue09-13
PAGE NO.: - 111-115
OPTIMISATION OF THE PROCESS OF
PREPARATION OF ACETYLSALICYLIC ACID
COMPLEX WITH GLYCYRRHIZIC ACID
Tadjibayeva Mahmuda Rikhsibayevna
Assistant, Tashkent Institute of Chemical Technology, Republic of
Uzbekistan. Tashkent, Uzbekistan
Ziyadullaeva Kamola Khaitboevna
Candidate of Technical Sciences, Associate Professor, University of
Geological Sciences, Republic of Uzbekistan, Tashkent city, Uzbekistan
Akhmedova Farzona Uktamovna
Master's student,Tashkent Institute of Chemical Technology, Republic of
Uzbekistan, Tashkent city, Uzbekistan
Karimov Rikhsibai Kuchkarovich
Candidate of Technical Sciences, Leading Researcher, Institute of Chemistry
of Plant Substances, Academy of Sciences of the Republic of Uzbekistan,
Republic of Uzbekistan, Tashkent, Uzbekistan
INTRODUCTION
Combinations of drugs, contribute to the
prevention of toxic effects. However, an increase in
the number of drugs taken by the patient can have
an adverse effect on the liver, especially since
NSAIDs themselves have a toxic effect on liver
cells.In this regard, we have undertaken chemical
and pharmacological studies of the complex of
acetylsalicylic acid with glycyrrhizic acid, the aim
of which was to create a new anti-inflammatory
drug of prolonged action with high activity and
fewer side effects on the basis of aspirin [1-3].
To determine the optimum conditions, as well as to
quantify the influence of a number of factors on the
process, to obtain its mathematical model, as well
as to determine the conditions for obtaining the
maximum yield of the product, we used the Box-
RESEARCH ARTICLE
Open Access
Abstract
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Wilson method [4-6].
Based on the analysis of the results of experiments
and literature data, we selected the factors,
established the main levels and intervals of
variation for them.
Table 1
Factor levels and variation intervals
№
Levels of variation
Х
1
,hour
Х
2
, sоот.
Х
3
,
0
С
1.
Lower level
2
2:10
30
2.
Main level
3
2:15
40
3.
Upper level
4
2:20
50
4.
Variation interval
1
0:5
10
Х
1
–
duration of reaction, hour.
Х
2
–
molar ratio of HA: ethanol, mol/mol
Х
3
–
reaction temeperature
0
С
.
Planning matrix
We conducted a full factorial experiment of type
23. The planning matrix and data of experiments
are presented in Table 2.
In a three-neck flask, equipped with a stirrer, reflux
condenser, water heating 164 glycyrrhizic acid are
placed and 95% ethyl alcohol is poured. To the
solution 36 g of acetylsalicylic acid is added and
stirred under the conditions specified in the
matrix.Then the solvent is evaporated in vacuum at
50 0C in a rotary evaporator. The used solvent is
reapplied in the cycle. The residue is dried in
vacuum for 2 hours at 50 0C and complex is
obtained.
According to the experimental data, a
mathematical model of the process was obtained,
in which the effects of interaction of factors were
also introduced:
Y = 86.31 - 0.57 X1 - 2.03 X2 + 5.61 X3
Table2
Planning matrix and experemental results
№ of
experem,
ent
Х
0
Х
1
Х
2
Х
3
У
1
У
2
У
ср.
1.
+
-
+
-
80.95
82,60
81,55
2.
+
+
+
-
80,82
83.42,0 82,12
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3.
+
-
+
+
95.4
91,2
93,3
4.
+
+
+
+
79.3
81,0
80,15
5.
+
-
-
-
76.4
71.1
73,75
6.
+
+
-
-
86,7
84,0
85,35
7.
+
-
-
+
98,1
99,8
98,95
8.
+
+
-
+
98,49
92,17
95,33
According to the experimental data, we obtained the mathematical model of the process
Y = 86.31 - 0.57 X1 - 2.03 X2 + 5.61 X3
Table 3
Statistical analysis
№ of
exper
emen
t
У
ср
У
У
2
S
i
2
Ŷ
расч.
Ŷ
расч
-У
ср
(Ŷ-У
ср
)
2
1.
81,55
1,05
1.10
2.20
79.24
2.31
5.34
2.
82,12
1.3
1.69
3.38
78.1
4.02
16.16
3.
93,30
2.1
4.41
8.82
90.46
2.84
8.07
4.
80,15
0.85
0.72
1.44
80.78
0.63
0.40
5.
73,75
2.65
7.02
14.04
73.3
0.45
0.20
6.
85,35
1,35
1.82
3.64
82.16
3.19
10.18
7.
98,95
0.85
0.72
1.44
95.52
3.43
11.77
8.
95,33
3.16
9.98
19.96
93.38
1.95
3.8
27.46
54.92
55.92
The homogeneity of the variance was tested by the Cochran's criterion
S
2
max
19.96
G =
______________
=
_____________
= 0.36
∑
n
i=1
Si
2
54.92
G
оп
= 0, 36< 0,6798= G
табл.
The variances are homogeneous.
We calculated: the mean variance of reproducibility
∑
n
i=1
Si
2
54.92
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S
2
{у}
=
_______________
=
________________
= 6.865
N
8
The adequacy variance is
–
2 ∑
n
i
(ŷ-у
ср
)
2
2 * 55.92
S
2
аg
=
_________________________
=
____________________
= 27.96
f
4
where f is the number of degrees of freedom:f= 4
The adequacy of the equation was checked by Fisher's criterion [6].
S
2
ag
27.96
F =
__________
=
______________
= 4.07
S
2
{у}
6.865
Ftable (4. 8) = 4, 8 Fop>Ftable The model is adequate.
We calculated the confidence interval using the formula
S
2
{у}
6.865
S
2
{в}
=
____________
=
____________
= 0.858
N
8
S
2
{в}
= √ 0,858 =
0.93
t table = 3.182
в
i
= t * S
2
{вi}
= 3,182 * 0, 93 = 2.96
From comparing the confidence interval with the regression coefficients of the equation, it follows that the
value of the optimisation parameter is mainly influenced by
X3 - reaction temperature
According to the obtained regression equation:
У
= 86,31 - 0,57
Х
1
–
2,03
Х
2
+ 5,61
Х
3
In our case the coefficient X3 is significant (Table 4).
Table4
Significance of coefficients
Bi - values
Symbols
Bi - values
Results
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86
>
2.96
Coefficient of significance
-0,57
<
2.96
Coefficient insignificant
-2,03
<
2.96
Coefficient insignificant
5,61
>
2.96
Coefficient of significance
One of the tasks of process optimisation by the
method of mathematical planning of experiment is
quantitative estimation of contribution of each of
the selected factors.
As it can be seen from the table, the factor, X3 -
reaction temperature turned out to be significant.
CONCLUSIONS
The conducted researches by the method of
mathematical planning of experiment revealed the
optimal conditions of the process.
- reaction temperature 45-50 0C,
- extraction time - 2 hours.
REFERENCES
1.
Ammosov A.S, LitvinenekoV.I.Triterpenoids of
plants
GlycyrrhizaL.
bMeristotropisFisch.etMey//
Chemico-
Pharmaceutical Journal.2003.-T.37,No.2. -
С31
-
42.
2.
Saidov S.S., Ziyadullaev M.E., Abdurazakov A.S.,
Karimov R.K., Saidova G.E., Sagdullaev S.S.
Optimisation of the process of obtaining
pharmacopoeial
substance
2-
acetylaminobenzimidazole // J. Universum
Techn. sciences -2019. -
№ 4.
-
С. 56
-59.
3.
Saidov S.S. Optimization of the Process for
Producing
5-Nitro-2-
Acetylaminobenzimidazole and its Bactericidal
and Fungicidal Activity // Pharmaceutical
Chemistry Journal. -2021. -54 (10). -
Р. 1015
-
1018.
4.
R.M. Kondratenko, Avtoref. doc. diss.
“Glycyrrhizic acid and related triterpenoids of
licorice root in the synthesis of promising
biologically acti
ve compounds” (Ufa, 2006) 14.
5.
Yu.T. Isaev, S.A. Rustamov, I.R. Askarov,
Scientific Bulletin of AndSU 4, 26-29 (2018) 15.
6.
G.A. Tolstikov, L.A. Baltina, E.E. Shults, A.G.
Pokrovsky, Bioorganic chemistry 23(9), 691-
709 (1997) 16. Yu.T. Isaev, S.A. Rustamov, I.R.
Askarov, Bulletin of the Perm State
Pharmaceutical Academy. Scientific and
practical journal. Permian 22, 34-35 (2018)
