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Many natural food extracts contain biologically active substances, vitamins,
amino acids, carbohydrates, aromatic substances and mineral salts. Pigments are composed of
anthocyanins, carotenoids, chlorophyll and xanthophylls. Natural extracts are obtained mainly
from plant raw materials, secondary raw materials from vegetables and fruits. Natural solutions
are mainly obtained by extraction methods. Ethyl alcohol solution, water, vegetable oil, etc. are
used as extractants. In this study, a natural extract of Jerusalem artichoke was studied. The
physicochemical properties of the concentrate obtained from the Jerusalem artichoke plant were
studied. There are experimental statistical modeling methods in mathematical modeling. In this
case, the results of experiments obtained at this facility are used to create a mathematical model
of the technological process. Flow motion was studied for solution analysis. The importance of
studying flow motion is to determine the parameters that need to be considered in modeling.
 

  • Web Address
  • DOI
  • Date of creation in the UzSCI system25-04-2023
  • Read count106
  • Date of publication20-04-2023
  • Main LanguageIngliz
  • Pages14-20
English

Many natural food extracts contain biologically active substances, vitamins,
amino acids, carbohydrates, aromatic substances and mineral salts. Pigments are composed of
anthocyanins, carotenoids, chlorophyll and xanthophylls. Natural extracts are obtained mainly
from plant raw materials, secondary raw materials from vegetables and fruits. Natural solutions
are mainly obtained by extraction methods. Ethyl alcohol solution, water, vegetable oil, etc. are
used as extractants. In this study, a natural extract of Jerusalem artichoke was studied. The
physicochemical properties of the concentrate obtained from the Jerusalem artichoke plant were
studied. There are experimental statistical modeling methods in mathematical modeling. In this
case, the results of experiments obtained at this facility are used to create a mathematical model
of the technological process. Flow motion was studied for solution analysis. The importance of
studying flow motion is to determine the parameters that need to be considered in modeling.
 

№ Author name position Name of organisation
1 Usenov A.B. teacher TSTU
№ Name of reference
1 A.B. Usenov., Sh.A. Sultanova., J.E. Safarov., A.T. Azimov. Experimental-statistic modelling of temperature dependence of solubility in the extraction of ocimum basilicum plants. IOP Conference Series: “Earth and environmental sciencethis link is disabled”, 2021. 868.
2 Sh. Sultanova., J. Safarov., A. Usenov., T. Raxmanova. Definitions of useful energy and temperature at the outlet of solar collectors. E3S web of conferences: rudenko international conference “Methodological problems in reliability study of large energy systems”, 2021. 5
3 E.I. Korotkova., Y.A. Karbainov., A.V. Shevchuk. Study of antioxidant properties by voltammetry. “Journal of electroanalytical chemistry”, 2002. 56.
4 S. Kitanovic. Empirical kinetic models for the resinoid extraction from aerial parts of St. John’s wort (Hypericum perforatum). “Biochemical engineering journal”, 2016. 1.
5 G.O. Veloso., G.O. Krioukov. Mathematical modeling of vegetable oil extraction in counter current crossed flow in horizontal extractor. “Journal of food engineering”, 2015. 477.
6 Z. Berk Z. Food process engineering and technology: second edition (book). “Elsevier”, 2013. 690.
7 A. Laitinen. “Supercritical fluid extraction of organic compounds from solids and aqueous solutions”, 1999. 54
8 J.A. Esquijarosa., H.U. Jáuregui., D.A. González., L.S. Martínez. Spray drying of aqueous extract of mangiferaindica l (vimang): scale up for the process. “World applied sciences journal”, 2009. 408.
9 A.M. Gaafar., F.S. El-Din., A. Boudy., H.H. El-Gazar. Extraction conditions of inulin from jerusalem artichoke tubers and its effects on blood glucose and lipid profile in diabetic rats. “Journal of American science”, 2010. 36.
10 B.K. May., P. Perré. The importance of considering exchange surface area reduction to exhibit a constant drying flux period in foodstuffs. “Journal of food England”, 2002. 271.
11 P. Cachim. Using artificial neural networks for calculation of temperatures in timber under fire loading. Construction and Building Materials. “Constr build mater”, 2011. 4175
12 D. Singh., P. Febbo., K. Ross., D.G. Jackson., J. Manola., C. Ladd., P. Tamayo., A.A. Renshaw., V.A. D’Amico., P.J. Richie., S.E. Lander., M. Loda., P. Kantoff., T.R. Golub., W. Sellers. Gene expression correlates of clinical prostate cancer behavior. “Cancer Cell”, 2002. 203.
13 T.R. Golub., D.K. Slonim., P. Tamayo., C. Huard., M. Gaasenbeek., J.P. Mesirov., H. Coller., M. Loh., J.R. Downing., M. Caligiuri., C. Bloomfield., E. Lander. Molecular classification of cancer: Class discovery and class prediction by gene monitoring. “Science”, 1999. 531.
14 F. Westermann., J.S. Wei., M. Ringner., L. Saal., F. Berthold., M. Schwab., C. Peterson., P.Meltzer., J. Khan. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. “GBM annual fall meeting halle”, 2002.
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