REGRESSION ANALYSIS IN DEVELOPMENT OF PROCEDURE FOR ISOLATION AND QUANTITATIVE DETER-MINATION OF WATER-SOLUBLE POLYSACCHARIDES FROM DANDELION ROOTS OF MEDICINAL
UDC 615.322
Abstract
The roots of the dandelion drug (Taraxacum officinale F.H. Wigg) are rich in chemical composition and contain water-soluble polysaccharides based on inulin. The aim of the study is to select optimal parameters of ultrasonic extraction of water-soluble polysaccharides from dandelion roots based on regression analysis. For the experiment, raw materials purchased from one of the pharmacies in the city of Voronezh were used. A sample of raw materials (1.0 g) was placed in an ultrasonic bath "Grad 40-35," which allows maintaining the necessary temperature and frequency of ultrasound with a given duration of time. one-year old, as well as in industrial production of water-soluble polysaccharides from this kind of raw material. Then, 10 (15 or 20) ml of purified water purified from impurities at a temperature of 60 °C to 80 °C was measured with a measuring flask and extracted from 10 to 20 min with a multiplicity of 1 to 3, and after each of the multiple studies, the same raw material was further filtered with a new solvent. The initial conditions and the data obtained during the experiments made it possible to present the regression model in the form of a linear multiple regression equation, which can be used with sufficient accuracy in prediction and analysis. The adequacy of the model was confirmed by testing hypotheses against Pearson's x2 criterion. The correlation coefficient derived from the values of the regression coefficient and the mean square deviation was used in determining the tightness of the overall relationship between the source and the obtained data. In addition, a detailed study of a sample of those variables whose priority was not clearly expressed was carried out by processing when fixing their values. The most important conditions for extraction of dandelion roots for obtaining the most stable performance should be considered: extraction temperature – 80 °C; extraction multiplicity – 3, ultrasound frequency – 35 kHz, extraction time – 40 min, ratio of raw material and extractant – 1 g per 10 ml, at the same time, grinding of raw material can vary from 0.2 mm to 0.5 mm.
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Botaniko-farmakognosticheskiy slovar': sprav. posobiye [Botanical-pharmacognostic dictionary: Ref. allowance], ed. K.F. Blinova, G.P. Yakovlev. Moscow, 1990, 206 p. (in Russ.).
Putyrskiy I.N., Prokhorov V.N. Universal'naya entsiklopediya lekarstvennykh rasteniy. Moscow, 2000, 656 p. (in Russ.).
Kurkin V.A. Farmakognoziya. [Pharmacognosy]. Samara, 2004, 1180 p. (in Russ.).
Tankhayeva L.M., Oleynikov D.N. Khimiya rastitel'nogo syr'ya, 2010, no. 2, pp. 85–89. (in Russ.).
Nikitina V.S., Gaynanova L.T., Abdullin M.I., Bespalova A.A. Khimiya rastitel'nogo syr'ya, 2012, no. 2, pp. 21–26. (in Russ.).
Sushchenko A.O., Kompantseva Ye.V. Aspirantskiy vestnik Povolzh'ya, 2020, no. 5-6, pp. 184–190. (in Russ.).
Sushchenko A.O., Kompantseva Ye.V., Blagorazumnaya N.V. Vo imya zhizni i zdorov'ya: materialy 72-y Mezhdunarodnoy nauchno-prakticheskoy konferentsii. [For the sake of life and health: materials of the 72nd Interna-tional scientific and practical conference]. 2019, pp. 217–225. (in Russ.).
Isayeva Ye.A. Chelovek i meditsina XXI veka: traditsii, innovatsii i prioritety rossiyskoy nauki. Sbornik tezisov dokla-dov 74-y itogovoy konferentsii SNO. [Man and medicine of the XXI century: traditions, innovations and priorities of Russian science. Collection of abstracts of the 74th final conference of the SSS]. 2006, pp. 133–135. (in Russ.).
Karayeva I.T., Khmelevskaya A.V., Cherchesova S.K. Izvestiya Gorskogo gosudarstvennogo agrarnogo universiteta, 2016, vol. 53, no. 3, pp. 133–136. (in Russ.).
Zakharov V.L., Kudashkina T.A., Zhikhoreva V.I. Agropromyshlennyye tekhnologii Tsentral'noy Rossii, 2018, no. 3 (9), pp. 8–15. (in Russ.).
Karomatov I.D., Davlatova M.S. Biologiya i integrativnaya meditsina, 2018, no. 9 (26), pp. 145–164. (in Russ.).
Lukashov R.I., Gurina N.S. Retsept, 2019, vol. 22, no. 2, pp. 259–265. (in Russ.).
Tiguntseva N.P., Yestaf'yev S.N. Izvestiya vuzov. Prikladnaya khimiya i biotekhnologiya, 2012, no. 2 (3), pp. 27–29. (in Russ.).
D'yakova N.A., Myndra A.A., Slivkin A.I., Gaponov S.P. Vestnik Voronezhskogo gosudarstvennogo universiteta. Seriya: Khimiya. Biologiya. Farmatsiya, 2018, no. 2, pp. 292–297. (in Russ.).
D'yakova N.A., Myndra A.A., Slivkin A.I. Razrabotka i registratsiya lekarstvennykh sredstv, 2018, no. 2 (23), pp. 120–123. (in Russ.).
D'yakova N.A., Slivkin A.I., Samylina I.A., Gaponov S.P., Myndra A.A., Shushunova T.G. Khimiko-farmatsevticheskiy zhurnal, 2018, no. 4, pp. 40–43. DOI: 10.30906/0023-1134-2018-52-4-40-43. (in Russ.).
Molchanov G.I., Molchanov A.A., Kubalov L.M. Farmatsevticheskiye tekhnologii: sovremennyye elektorofiziche-skiye biotekhnoologii v farmatsii. [Pharmaceutical technologies: modern electrophysical biotechnologies in pharmacy]. Mos-cow, 2011, 336 p. (in Russ.).
D'yakova N.A. Khimiya rastitel'nogo syr'ya, 2018, no. 4, pp. 81–87. DOI: 10.14258/jcprm.2018042195. (in Russ.).
D'yakova N.A., Slivkin A.I., Gaponov S.P., Mikhaylovskaya I.Yu. Vestnik Voronezhskogo gosudarstvennogo universiteta. Seriya: Khimiya, Biologiya, Farmatsiya, 2016, no. 4, pp. 133–136. (in Russ.).
Bondarchuk S.S., Bondarchuk I.S. Statobrabotka eksperimental'nykh dannykh v MS Excel. [Statistical processing of experimental data in MS Excel]. Tomsk, 2018, 433 p. (in Russ.).
Rebrova O.Yu. Statisticheskiy analiz meditsinskikh dannykh. Primeneniye paketa prikladnykh programm STATISTICA. [Statistical analysis of medical data. Application of the application package STATISTICA]. Moscow, 2000, 312 p. (in Russ.).
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