Kursk, Kursk, Russian Federation
VAK Russia 4.1.1
VAK Russia 4.1.2
VAK Russia 4.1.3
VAK Russia 4.1.4
VAK Russia 4.1.5
VAK Russia 4.2.1
VAK Russia 4.2.2
VAK Russia 4.2.3
VAK Russia 4.2.4
VAK Russia 4.2.5
VAK Russia 4.3.5
UDC 664.1.03
UDC 577.15
The aim of the study is to identify the relationship between the high-molecular-weight compounds (HMWC) of diffuse and purified juices and the quality of sugar beet under the influence of a composition of functional technological processing aids (TPAs) on the food system of sugar production. The full factorial design of the numerical experiment included two factors at four levels of their variation. Each of the 16 experimental variants reflected the ratio of the content of soluble non-sugars of sugar beet (factor A) and the total dose of the TPA composition, including an enzyme preparation, an antimicrobial agent and an antifoam agent (factor B), specified by the planning matrix. A statistically significant effect of the interaction of the studied factors on the HMWC of process juices in the food system was established only at the average levels of their variation. The share of the contribution of the studied factors to the variation in the HMWC of diffuse and purified juices was revealed: a significant contribution was made by the content of soluble non-sugars of sugar beet, the share of which was at the level of 73.5 and 68.6 %, respectively; The level of influence of the total dose of the TPA composition was average – 21.9 and 22.8 %. An adequate reflection of the combined influence of the content of soluble non-sugars and the TPA composition on the numerical values of the HMWC of process juices was obtained using the corresponding regression equations. The response surfaces presented based on these data indicated a consistent increase in the HMWC content in juices with increasing concentrations of soluble non-sugars in sugar beet, while the applied functional HMWC composition at average and maximum total doses resulted in a decrease in the HMWC content in juices. A high degree of agreement between the calculated and laboratory results was demonstrated by the determination coefficients of the regression equations: R2 = 0.902 and 0.996. The identified relationships can be used to predict the HMWC content of diffused and purified juices based on their sucrose content with a high level of adequacy (R2 = 0.958 and 0.989).
soluble non-sugars, high-molecular-weight compounds, sugar beet, sugar production system, process juice, regression analysis.
1. Pushanko NN, Lagoda VA, Shurbovannyy VN, et al. Teoriya i praktika rasgeleniya suspensii w cveklocaharnom proisvodctve. Kniga. 1: Obrasovanie suspensii i ih cvoictva. Kyiv: Stal’; 2017. 541 p. (In Russ.).
2. Reshetova RS, Baranov OM. Vliyanie necaharov caharnoi cvekly na tehnologiyu i vyhod cahara. Sahar. 2023;8:3-36. (In Russ.). DOI:https://doi.org/10.24412/2413-5518-2023-82-30-36. EDN: https://elibrary.ru/PSAAIA.
3. Chernyavskaya LI, Mokanyuk YA, Kukhar VN, et al. Factory, vlieyayuschie na tehnologiheckie kahectva caharnoi cvekly covremennyh celexii i effektivnoct ee pererabotki. Sahar. 2020;9:24-33. (In Russ.). DOI:https://doi.org/10.24411/2413-5518-2020-82-10902. EDN: https://elibrary.ru/FHRRKR.
4. Golybin VA, Fedoruk VA, Matvienko NA, et.al. Efficiency of low quality beet processing. Vestnik VGUIT. 2018;80(2):206-210. (In Russ.). DOI:https://doi.org/10.20914/2310–1202–2018–2–206–210. EDN: https://elibrary.ru/YBECJV.
5. Tarasova EA, Gurieva KB, Slavyansky AA, et al. Razvitie saharnoi otrasli po napravleniyu effektivnogo vzaimodeistviya s potrebitelyami. Sahar. 2021;9:30-34. (In Russ.). DOI:https://doi.org/10.24412/2413-5518-2021-9-30-34. EDN: https://elibrary.ru/AGDDUL.
6. Egorova MI, Puzanova LN, Mikhailova IS, et al. Results of Monitoring the floccule-forming ability of white sugar solutions. Dostizheniya nauki i tekhniki APK. 2021;35(3):67-72. (In Russ.). DOI:https://doi.org/10.24411/0235-2451-2021-10312. EDN: https://elibrary.ru/NVAMXL.
7. Daisheva NM, Lyusyy IN, Semenikhin SO, et al. Trebovaniya k kahectvu i besopasnosti cahara, icpolsyemogo pri proisvodctve pischevoi prodyuktcii. Nauhnye Trudy KubGTU. 2018;8:33-42. (In Russ.). EDN: https://elibrary.ru/YKWBQT.
8. Kukhar VN, Chernyavskiy AP, Chernyavskaya LI, et al. Effektivnoct pererabotki caharnoi cvekly v savicimocti ot ee technologiheckih kahectv i ocobennoctei vedeniya processa. Ch. 1. Sahar. 2020;1:19-31. (In Russ.). EDN: https://elibrary.ru/QTGKCS.
9. Abraham K, Brykczynski H, Rudolph-Floter ESJ, et al. Targeted dextranase application for problem mitigation during sucrose crystallization. Int Sugar J. 2020;122(1455):198-203.
10. Sapronova LA. Methods for improving the quality of crystalline sugar. Storage and Processing of Farm Products. 2017;5:9-14. (In Russ.). EDN: https://elibrary.ru/YRPLIJ.
11. Ying L, Da-feng L, Rong-Zhen L, et al. Solution for dextran problem with applications of dextran detection kit and dextranase in China cane/beet sugar factories. Int Sugar J. 2018;120(1432):296-298.
12. Belyaeva LI, Pruzhin MK, Ostapenko AV, et al. Technological methods for inhibiting bacterial infection of the process of extracting sucrose in the sugar production. Dostizheniya nauki i tekhniki APK. 2021;35(2):66-72. (In Russ.). DOI:https://doi.org/10.24411/0235-2451-2021-10211. EDN: https://elibrary.ru/GEHOJQ.
13. Egorova MI, Smirnova LYu, Puzanova LN. Criteria for assessing sugar beet a raw material for sugar production. Dostizheniya nauki i tekhniki APK. 2024;38(8):67-74. (In Russ.). DOI:https://doi.org/10.53859/02352 451_2024_38_8_67. EDN: https://elibrary.ru/ZGVPMT.
14. Kulneva NG, Putilina LN. Effektivnost bakterizidnoi obrabotki cveklovichnoi ctrugki pered ekstragirovaniem. Sahar. 2018;9:26-29. (In Russ.). EDN: https://elibrary.ru/YAJYLR.
15. Belyaeva LI, Pruzhin MK, Ostapenko AV, et al. Improvement of technological indicators of semifinished products of sugar production from bacterially infected sugar beet. Food Processing: Techniques and Technology. 2021;51(3):458-469. (In Russ.) DOI:https://doi.org/10.21603/2074-9414-2021-3-458-469. EDN: https://elibrary.ru/DJPPNZ.
16. Zelepukin YuI, Zelepukin SYu. Povyshenie filtraxionnyh svoistv sokov pri pererabotke saharnoi svekly. Sahar. 2022;4:32-35. (In Russ.). DOI:https://doi.org/10.24412/2413-5518-2022-4-32-35. EDN: https://elibrary.ru/TCEEVY.
17. Zinina OV, Vishnyakova EA, Naumenko NV, et al. (2025). Optimization of the extraction process of bioactive substances from cherry pomace. Food Systems. 2025;8(3):335-342. (In Russ.). DOI:https://doi.org/10.21323/2618-9771-2025-8-3-335-342. EDN: https://elibrary.ru/SPUCZE.
18. Dospehov BA. Metodika polevogo opyta: s osnovami statisticheskoi obrabotki rezul'tatov issledovanii. 5-e isd., pererab. i dop. Moscow: AlyanC; 2023. 349 p. (In Russ.).



