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SELECTION AND OPTIMIZATION OF THE MAIN PARAMETERS OF THE TECHNOLOGY OF "COLD PRESSING" OF SUNFLOWER SEEDS IN A HYDRAULIC PRESS

Authors

Aimin Shi, Qin Guo, Gafurov K.Kh., Safarova D.N.

Rubric:Food processing industry
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The paper studies the influence of the main process parameters (pressing pressure and particle size of oilseed material) during cold hydraulic pressing on the residual oil content of the cake and the acid number of oil from local varieties of sunflower seeds. Using the nonlinear programming optimization method, it was found that, at a pressing pressure of 50 MPa and a petal thickness of oilseed material of 0.3 mm, the residual oil content of the cake will be within 6.5 %; and the acid number of the resulting oil will be within 1.4 mg KOH/g.

Keywords

pressing
oil
acid number.
hydraulics
pressure
thickness of the petal sunflower seeds
residual oil content of the cake
sunflower seeds

Authors

Aimin Shi, Qin Guo, Gafurov K.Kh., Safarova D.N.

References:

Kopylov, M. V. (2013). Improving the process of cold pressing of vegetable oil crops with subsequent blending . Abstract of dissertation, Voronezh, Russia

Proctor, A. (2013). Green Vegetable Oil Processing. Retrieved from https://ru.everand.com/book/282669726/Green-Vegetable-Oil-Processing-Revsied-First-Edition

Çakaloğlu, B., Özyurt, V. H. & Ötleş, S. (2018). Cold press in oil extraction. A review. Ukrainian Food Journal.;7(4): 640-654. Retrieved from http://dx.doi.org/10.24263/2304-974X-2018-7-4-9 

Gafurov, K.Kh. , Safarova, D.N. (2022). Development of Technology for Oil Extraction from Local Sunflower Seeds at Moderate Temperature. Global Scientific Review, 8, 33–37. Retrieved from https://www.scienticreview.com/index.php/gsr/article/view/56

Mustafaev, S. K., Kalienko , E. A., Sonina , D. V., & Efimenko, S. G. (2014). The influence of flax seed pressing conditions on the yield and quality of oil. Scientific journal of KubSAU, 100(06). Retrieved from http :// ej . kubagro . ru /2014/06/ pdf /103. pdf 

Gafurov, K.Kh.​ (2020). Change of physiological and biochemical properties of plant raw materials during thermal preparation before extraction. The American Journal of Engineering and Technology, 11(2), 197-205. https://doi.org/10.37547/tajet/Volume02Issue11-31

Cai, Z., Li, K., Lee, W. J., Reaney, M., Zhang, N., & Wang, Y. (2021). Recent progress in the thermal treatment of oilseeds and oil oxidative stability: A review . Fundamental Research, 6(1), 767-784. Retrieved from https://doi.org/10.1016/j.fmre.2021.06.022

Murray, P.M. et al. (2016). The application of design of experiments (DoE) reaction optimization and solvent selection in the development of new synthetic chemistry, Org. Biomol. Chem., 14, 2373–2384.

Georgakis, C. (2013). Design of Dynamic Experiments: A Data-Driven Methodology for the Optimization of Time-Varying Processes . Industrial & Engineering Chemistry Research, 52, 12369–12382.

Pen, R. Z., Pen V. R. (2022). Statistical methods of mathematical modeling, analysis and optimization of technological processes. St. Petersburg , Russia: Lan https :// e . lanbook. com / book /264239 

Kashtaeva, S.V. (2020). Optimization methods. Perm. Russia: Prokrost.

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