33 research outputs found
Development of X-ray fluorescence technique for the uranium determination in Mongolian coal, coal ash, and phosphate ore
The results of the determination of uranium in Mongolian brown coal, coal ash, phosphate rock, and technological samples by X-ray fluorescence (XRF) spectrometry are presented. Technological samples were produced from phosphates by chemical treatment. Powder geological samples and Certified Reference Materials (CRMs) were pressed as tablets. For chosen conditions of the sample preparation procedure analytical figures of merit were carefully studied, as exemplified by the rock and uranium ore Reference Materials. The variance of the total uncertainty is 2 % for uranium in the analyzed samples, and one is 7 % in the rock CRMs. The estimated values of the uranium detection limit for the CRMs are within the interval from 1 to 3 ppm. For the correction of the matrix effects the background standard method was used. Values of the uranium contents in the studied samples vary within the interval from 3.0 to 35.0 ppm. The comparison of the wavelength dispersive (WD) XRF results with the energy dispersive (ED) XRF results and the neutron activation analysis (NAA) was performed. It is demonstrated that the WDXRF have satisfactorily agreed with the EDXRF results and the NAA within the limits of the uncertainty. It is shown that the values of the relative discrepancies between the WDXRF and EDXRF results are in the range of 2.0-18.0 %, and between the WDXRF and the NAA results are in the range of 2.0-20.0 %. These values are less than 30 %, yielding the third category of the precision of the mineral raw material analysis
Hypothermic organ perfusion in the 2020s: mixing the benefits of low temperatures and dynamic flow outside the body
The cold chain supply of donor organs for transplantation has been an integral part of the delivery of transplant clinical services over the past five decades. Within the technologies used for this, hypothermic machine perfusion (HMP) was a concept, which was attractive to maintain organs under optimal conditions outside the body, and many early research studies on HMP were reported. However, it took the arrival of important new concepts to ensure that HMP was logistically feasible and valuable from an organ physiology perspective within the clinical pathways. This review provides details of the current status of HMP across the range of organs transplanted in the clinic, and discusses what new areas might benefit from applying HMP in coming years. In conclusion, HMP is now being used more frequently for clinical organ preservation in a variety of settings. As new therapies such as cell or gene therapy become more common, HMP will continue to play an important facilitator role for optimising organs in the donor pathway
Π£Π΄ΠΎΡΠΊΠΎΠ½Π°Π»Π΅Π½Π½Ρ ΡΠ²ΠΈΠ΄ΠΊΡΡΠ½ΠΎ-ΡΠΈΠ»ΠΎΠ²ΠΈΡ ΡΠΊΠΎΡΡΠ΅ΠΉ Π±ΠΎΠΊΡΠ΅ΡΡΠ² 16β17 ΡΠΎΠΊΡΠ²
The paper deals with improving the speed and power as a boxer 16β17. An experimental technique that allows for a personalized and differentiated approach to the training process. Analyze the impact of the developed technique on the physical and functional condition of the boxers. The study showed that the technique has a positive impact on the development and improvement of the speed and power characteristics.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π²ΠΎΠΏΡΠΎΡΡ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΡΠΊΠΎΡΠΎΡΡΠ½ΠΎ-ΡΠΈΠ»ΠΎΠ²ΡΡ
ΠΊΠ°ΡΠ΅ΡΡΠ² Π±ΠΎΠΊΡΠ΅ΡΠΎΠ² 16β17Β Π»Π΅Ρ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π° ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½Π°Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ°, ΠΊΠΎΡΠΎΡΠ°Ρ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°ΡΡ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΡΠΉ ΠΈ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ Π² ΡΡΠ΅Π½ΠΈΡΠΎΠ²ΠΎΡΠ½ΠΎΠΌ ΠΏΡΠΎΡΠ΅ΡΡΠ΅. ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΠΎΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ Π½Π° ΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ Π±ΠΎΠΊΡΠ΅ΡΠΎΠ². ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ, ΡΡΠΎ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΠΈΠΌΠ΅Π΅Ρ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΈ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΊΠΎΡΠΎΡΡΠ½ΠΎ-ΡΠΈΠ»ΠΎΠ²ΡΡ
ΠΊΠ°ΡΠ΅ΡΡΠ².Π ΠΎΠ·Π³Π»ΡΠ½ΡΡΡ ΠΏΠΈΡΠ°Π½Π½Ρ ΡΠ΄ΠΎΡΠΊΠΎΠ½Π°Π»Π΅Π½Π½Ρ ΡΠ²ΠΈΠ΄ΠΊΡΡΠ½ΠΎ-ΡΠΈΠ»ΠΎΠ²ΠΈΡ
ΡΠΊΠΎΡΡΠ΅ΠΉ Π±ΠΎΠΊΡΠ΅ΡΡΠ² 16β17Β ΡΠΎΠΊΡΠ². ΠΠ°ΠΏΡΠΎΠΏΠΎΠ½ΠΎΠ²Π°Π½ΠΎ Π΅ΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΡ, ΡΠΊΠ° Π΄ΠΎΠ·Π²ΠΎΠ»ΡΡ ΡΠ΅Π°Π»ΡΠ·ΡΠ²Π°ΡΠΈ ΡΠ½Π΄ΠΈΠ²ΡΠ΄ΡΠ°Π»ΡΠ½ΠΈΠΉ Ρ Π΄ΠΈΡΠ΅ΡΠ΅Π½ΡΡΠΉΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΡΠ΄Ρ
ΡΠ΄ Ρ ΡΡΠ΅Π½ΡΠ²Π°Π»ΡΠ½ΠΎΠΌΡ ΠΏΡΠΎΡΠ΅ΡΡ. ΠΡΠΎΠ°Π½Π°Π»ΡΠ·ΠΎΠ²Π°Π½ΠΎ Π²ΠΏΠ»ΠΈΠ² ΡΠΎΠ·ΡΠΎΠ±Π»Π΅Π½ΠΎΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ Π½Π° ΡΡΠ·ΠΈΡΠ½ΠΈΠΉ Ρ ΡΡΠ½ΠΊΡΡΠΎΠ½Π°Π»ΡΠ½ΠΈΠΉ ΡΡΠ°Π½ Π±ΠΎΠΊΡΠ΅ΡΡΠ². ΠΠΎΡΠ»ΡΠ΄ΠΆΠ΅Π½Π½Ρ ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ, ΡΠΎ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΠΌΠ°Ρ ΠΏΠΎΠ·ΠΈΡΠΈΠ²Π½ΠΈΠΉ Π²ΠΏΠ»ΠΈΠ² Π½Π° ΡΠΎΠ·Π²ΠΈΡΠΎΠΊ Ρ ΡΠ΄ΠΎΡΠΊΠΎΠ½Π°Π»Π΅Π½Π½Ρ ΡΠ²ΠΈΠ΄ΠΊΡΡΠ½ΠΎ-ΡΠΈΠ»ΠΎΠ²ΠΈΡ
ΡΠΊΠΎΡΡΠ΅ΠΉ
Transport of neutrons and Ξ³ quanta through a highly filled polymer composite
The transport of neutrons and Ξ³ quanta of various energies through a polymer composite based on tungsten-filled track membranes is studie
Effect of electron irradiation on polyimide composites based on track membranes for space systems
The paper presents data on the resistance to electron irradiation of polyimide (PI) composite with nano-sized lead fille
DYNAMICS OF MORBIDITY OF POPULATION IN IRKUTSK BETWEEN DURING SOCIO-ECONOMIC REFORMS
This article presents an analysis of disease trends in selected age groups of the population of Irkutsk for the period of 1992-2009 and it is found that most of these trends are dependent on socio-economic factors. Built polynomial regression models revealed significant increase in morbidity of mental disorders in children, diseases of the nervous system and. the digestive system against opposing change prevalence of adolescent and. adult population for the analyzed period
Production of Bst polymerase for diagnosis of different infections using loop-mediated isothermal amplification
Introduction. The large fragment of DNA polymerase I from Geobacillus stearothermophilus GIM1.543 (Bst DNA polymerase) possesses 5'-3' DNA polymerase activity, 5'-3' displacement activity and high processivity. These properties make it possible to use Bst DNA polymerase in loop-mediated isothermal amplification (LAMP), which provides highly specific amplification of the target sequence and is used for rapid detection of agents causing human infectious diseases.
The purpose of the study was to produce a recombinant Bst polymerase enzyme in the bacterial expression system and to assess its properties for LAMP-based diagnostics of infectious diseases.
Materials and methods. Expression constructs carrying the Bst polymerase gene were obtained using genetic engineering techniques. Different Escherichia coli strains were used for protein expression. Metal-chelate and gel filtration chromatography techniques were used for protein purification. Catalytic characteristics of the enzyme were assessed in loop-mediated isothermal amplification reactions using AmpliSens SARS-CoV-2-IT, AmpliSens IAV-IT and AmpliSens IBV-IT diagnostic systems designed for high-quality detection of SARS-CoV-2, influenza A virus (IAV) and influenza B virus (IBV) RNA, respectively.
Results. The offered protocol for production, extraction and purification of recombinant Bst polymerase makes it possible to produce the enzyme in the bacterial expression system using E. coli cells in a soluble form and reaching the yield up to 20% of the total cell mass. In LAMP reactions, the obtained enzyme demonstrates activity comparable with that of the commercial enzyme Bst 2.0 (NEB).
Conclusion. Considering the fast purification and production of the enzyme, the obtained recombinant Bst polymerase can be used in LAMP-based diagnostic kits
Π’Π ΠΠΠΠΠΠΠ’ΠΠ§ΠΠ‘ΠΠΠ― Π ΠΠΠ’ΠΠΠΠΠΠ£ΠΠ―ΠΠ’ΠΠΠ― Π’ΠΠ ΠΠΠΠ― ΠΠ Π Π’Π ΠΠΠΠΠΠΠΠΠΠΠ ΠΠΠΠΠ§ΠΠΠ ΠΠ Π’ΠΠ ΠΠ Π‘ ΠΠ«Π‘ΠΠΠΠ Π ΠΠ ΠΠΠΠΠ£Π’ΠΠ§ΠΠ«Π Π ΠΠ‘ΠΠΠ Π ΠΠΠΠΠ Π‘ΠΠΠ Π’Π. Π§ΠΠ‘Π’Π¬ 1. ΠΠΠ’ΠΠΠ¬ΠΠΠ‘Π’Π¬ Π ΠΠ‘ΠΠΠΠΠΠΠΠ―
Background The advantages of thrombolytic therapy over anticoagulant therapy in the treatment of acute pulmonary embolism are uncertain. Aim of study To compare primary outcomes and incidence of complications in patients with PE of high and intermediate risk in the course of TLT or ACT and to assess efficacy and safety of TLT and ACT. Study Design Prospective non-randomized study. Intervention was administration of a thrombolytic, the control group consisted of patients who had an anticoagulant introduced. Characteristics of a sample 503 patients with a high and intermediate risk of early death at the age of 16 to 93 years (mean age 61Β±16, ΠΠ΅ 63 (51; 74) admitted to the resuscitation department in 2011β2016. Thrombolytics were administered to 222 patients, heparin β 281. Results The mortality rate was 10.8% (24/222) when treated with thrombolytic vs. 17.8% (50/281) with anticoagulant treatment; odds ratio was 0.56, 95% confidence interval 0.32; 0.97; p=0.031; P=0.60. The mortality rate in the subgroup with unstable hemodynamics was 30.2% (19/63) with thrombolytics vs. 47.1% (32/68) with anticoagulant treatment; OR 0.49 (0.22; 1.06); p=0.051; P=0.51. The mortality rate in the subgroup of intermediate risk was 3.2% (5/158) vs. 8.4% (18/214); OR 0.36 (0.11; 1.05); p=0.049; P=0.54. The use of thrombolytic was associated with a decrease in mortality: in the age group< 75 (mortality rate 5.5% (10/181) vs. 16.2% (33/204), OR 0.30 (0.14; 0.67); p=0.001, P=0.92); in the subgroup with acute cardiac arrhythmias (mortality rate 4.5% (1/122) vs. 44.0% (11/25); OR 0.061 (0.003; 0.557); p=0.002; P=0.91); in the subgroup with no hospital recurrence of embolism (mortality rate 1.6% (3/188) vs. 12.9% (32/248); OR 0.14 (0.03; 0.46), p< 0.001; P=1.0). With thrombolysis, infarction pneumonia developed less often: in 19.8% (44/222) vs. 28.8% (81/281); OR 0.61 (0.39; 0.95); p=0.022; P=0.64. There were no differences in the incidence of hemorrhagic complications in the treatment of thrombolytics in comparison with anticoagulant therapy: 7.7% (17/222) vs. 10.3% (29/281); OR 0.72 (0.37; 1.40); p=0.35; P=0.17. Severe hemorrhages (including intracranial): 2.7% (6/22) vs. 3.2% (9/281); OR 0.84 (0.26; 2.62); p=0.80; P=0.06. Minor hemorrhages: 5.0% (11/ 222) vs. 7.1% (20/281); OR 0.72 (0.31; 1.63); p=0.36; P=0.16. Intracranial hemorrhages: 0.90% (2/222) vs. 0.71% (2/281); OR 1.27 (0.13; 12.67); p=0.81; P=0.13). There was no difference in the re-occurrence of embolisms: 15.3% (34/222) and 11.7% (33/281); OR 1.36 (0.79; 2.35); p=0.29; P=0.22. Conclusion Thrombolytic therapy appeared to be more effective for survival compared to anticoagulant therapy with no differences in the incidence of complications.ΠΠΠ’Π£ΠΠΠ¬ΠΠΠ‘Π’Π¬ ΠΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²Π° ΡΡΠΎΠΌΠ±ΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΏΠ΅ΡΠ΅Π΄ Π°Π½ΡΠΈΠΊΠΎΠ°Π³ΡΠ»ΡΠ½ΡΠ½ΠΎΠΉ Π² Π»Π΅ΡΠ΅Π½ΠΈΠΈ ΠΎΡΡΡΠΎΠΉ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ ΡΠΌΠ±ΠΎΠ»ΠΈΠΈ Π½Π΅ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½Ρ.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΡΠΎΠ²Π΅ΡΡΠΈ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΡΡ
ΠΈΡΡ
ΠΎΠ΄ΠΎΠ² β Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΡΡΠΈ ΠΈ ΡΠ°ΡΡΠΎΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΡΡΠΎΠΌΠ±ΠΎΡΠΌΠ±ΠΎΠ»ΠΈΠ΅ΠΉ Π»Π΅Π³ΠΎΡΠ½ΠΎΠΉ Π°ΡΡΠ΅ΡΠΈΠΈ Π²ΡΡΠΎΠΊΠΎΠ³ΠΎ ΠΈ ΠΏΡΠΎΠΌΠ΅ΠΆΡΡΠΎΡΠ½ΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ° ΠΏΡΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠΈ ΡΡΠΎΠΌΠ±ΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠΉ (Π’ΠΠ’) ΠΈΠ»ΠΈ Π°Π½ΡΠΈΠΊΠΎΠ°Π³ΡΠ»ΡΠ½ΡΠ½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ (ΠΠΠ’). ΠΡΠ΅Π½ΠΈΡΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡ Π’ΠΠ’ ΠΈ ΠΠΠ’.ΠΠΈΠ·Π°ΠΉΠ½ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ Π½Π΅ΡΠ°Π½Π΄ΠΎΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅. ΠΠΌΠ΅ΡΠ°ΡΠ΅Π»ΡΡΡΠ²ΠΎΠΌ ΡΠ²Π»ΡΠ»ΠΎΡΡ Π²Π²Π΅Π΄Π΅Π½ΠΈΠ΅ ΡΡΠΎΠΌΠ±ΠΎΠ»ΠΈΡΠΈΠΊΠ°, Π³ΡΡΠΏΠΏΠΎΠΉ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ β ΠΏΠ°ΡΠΈΠ΅Π½ΡΡ, ΠΊΠΎΡΠΎΡΡΠΌ Π²Π²ΠΎΠ΄ΠΈΠ»ΡΡ Π°Π½ΡΠΈΠΊΠΎΠ°Π³ΡΠ»ΡΠ½Ρ.Π₯Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° Π²ΡΠ±ΠΎΡΠΊΠΈ 503 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π²ΡΡΠΎΠΊΠΎΠ³ΠΎ ΠΈ ΠΏΡΠΎΠΌΠ΅ΠΆΡΡΠΎΡΠ½ΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ° ΡΠ°Π½Π½Π΅ΠΉ ΡΠΌΠ΅ΡΡΠΈ Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ ΠΎΡ 16 Π΄ΠΎ 93 Π»Π΅Ρ (ΡΡΠ΅Π΄Π½ΠΈΠΉ Π²ΠΎΠ·ΡΠ°ΡΡ 61Β±16, ΠΠ΅ 63 (51; 74) Π»Π΅Ρ), ΠΏΠΎΡΡΡΠΏΠΈΠ²ΡΠΈΡ
Π² ΡΠ΅Π°Π½ΠΈΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ΅ ΠΎΡΠ΄Π΅Π»Π΅Π½ΠΈΠ΅ Π² 2011β2016 Π³Π³; 290 ΠΆΠ΅Π½ΡΠΈΠ½, 213ΠΌΡΠΆΡΠΈΠ½; ΡΡΠΎΠΌΠ±ΠΎΠ»ΠΈΡΠΈΠΊ Π²Π²ΠΎΠ΄ΠΈΠ»ΡΡ 222 Π±ΠΎΠ»ΡΠ½ΡΠΌ, Π³Π΅ΠΏΠ°ΡΠΈΠ½ β 281.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΠ΅ΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΏΡΠΈ Π»Π΅ΡΠ΅Π½ΠΈΠΈ ΡΡΠΎΠΌΠ±ΠΎΠ»ΠΈΡΠΈΠΊΠΎΠΌ 10,8% (24/222) ΠΏΡΠΎΡΠΈΠ² 17,8% (50/281) ΠΏΡΠΈ Π»Π΅ΡΠ΅Π½ΠΈΠΈ Π°Π½ΡΠΈΠΊΠΎΠ°Π³ΡΠ»ΡΠ½ΡΠΎΠΌ; ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΡΠ°Π½ΡΠΎΠ² 0,56, 95% Π΄ΠΎΠ²Π΅ΡΠΈΡΠ΅Π»ΡΠ½ΡΠΉ ΠΈΠ½ΡΠ΅ΡΠ²Π°Π» 0,32; 0,97; Ρ=0,031; ΠΌΠΎΡΠ½ΠΎΡΡΡ (P) 0,60. ΠΠ΅ΡΠ°Π»ΡΠ½ΠΎΡΡΡ Π² ΠΏΠΎΠ΄Π³ΡΡΠΏΠΏΠ΅ Ρ Π½Π΅ΡΡΠ°Π±ΠΈΠ»ΡΠ½ΠΎΠΉ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΎΠΉ ΠΏΡΠΈ Π²Π²Π΅Π΄Π΅Π½ΠΈΠΈ ΡΡΠΎΠΌΠ±ΠΎΠ»ΠΈΡΠΈΠΊΠ° 30,2% (19/63) ΠΏΡΠΎΡΠΈΠ² 47,1% (32/68) ΠΏΡΠΈ Π²Π²Π΅Π΄Π΅Π½ΠΈΠΈ Π°Π½ΡΠΈΠΊΠΎΠ°Π³ΡΠ»ΡΠ½ΡΠ°; ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ ΡΠ°Π½ΡΠΎΠ² (ΠΠ¨) 0,49 (0,22; 1,06); Ρ=0,051; Π =0,51. ΠΠ΅ΡΠ°Π»ΡΠ½ΠΎΡΡΡ Π² ΠΏΠΎΠ΄Π³ΡΡΠΏΠΏΠ΅ ΠΏΡΠΎΠΌΠ΅ΠΆΡΡΠΎΡΠ½ΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ° 3,1% (5/159) ΠΏΡΠΎΡΠΈΠ² 8,5% (18/213); ΠΠ¨ 0,35 (0,11; 1,04); Ρ=0,048; Π =0,58. ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΡΠΎΠΌΠ±ΠΎΠ»ΠΈΡΠΈΠΊΠ° Π±ΡΠ»ΠΎ Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½ΠΎ ΡΠΎ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΡΡΠΈ: Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΠΎΠΉ ΠΏΠΎΠ΄Π³ΡΡΠΏΠΏΠ΅< 75 Π»Π΅Ρ (Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΡΡΡ 5,5% (10/181) ΠΏΡΠΎΡΠΈΠ² 16,2% (33/204); ΠΠ¨ 0,30 (0,14; 0,67); Ρ=0,001; Π =0,92); Π² ΠΏΠΎΠ΄Π³ΡΡΠΏΠΏΠ΅ Ρ ΠΎΡΡΡΡΠΌΠΈ Π½Π°ΡΡΡΠ΅Π½ΠΈΡΠΌΠΈ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎΠ³ΠΎ ΡΠΈΡΠΌΠ° (Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΡΡΡ 4,5% (1/22) ΠΏΡΠΎΡΠΈΠ² 44,0% (11/25); ΠΠ¨ 0,061 (0,003; 0,557), Ρ=0,002; Π =0,91); Π² ΠΏΠΎΠ΄Π³ΡΡΠΏΠΏΠ΅ Ρ ΠΎΡΡΡΡΡΡΠ²ΠΈΠ΅ΠΌ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅ΡΠΈΠ΄ΠΈΠ²Π° ΡΠΌΠ±ΠΎΠ»ΠΈΠΈ (Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΡΡΡ 1,6% (3/188) ΠΏΡΠΎΡΠΈΠ² 12,9% (32/248); ΠΠ¨ 0,14 (0,03; 0,46); Ρ<0,001; Π =1,0). ΠΡΠΈ ΡΡΠΎΠΌΠ±ΠΎΠ»ΠΈΠ·ΠΈΡΠ΅ ΡΠ΅ΠΆΠ΅ ΡΠ°Π·Π²ΠΈΠ²Π°Π»Π°ΡΡ ΠΈΠ½ΡΠ°ΡΠΊΡΠ½Π°Ρ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΡ: Π² 19,8% (44/222) ΠΏΡΠΎΡΠΈΠ² 28,8% (81/281); ΠΠ¨ 0,61(0,39; 0,95); Ρ=0,022; Π =0,64. ΠΠ΅ Π±ΡΠ»ΠΎ Π²ΡΡΠ²Π»Π΅Π½ΠΎ ΡΠ°Π·Π»ΠΈΡΠΈΠΉ Π² ΡΠ°ΡΡΠΎΡΠ΅ Π³Π΅ΠΌΠΎΡΡΠ°Π³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ ΠΏΡΠΈ Π»Π΅ΡΠ΅Π½ΠΈΠΈ ΡΡΠΎΠΌΠ±ΠΎΠ»ΠΈΡΠΈΠΊΠΎΠΌ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π°Π½ΡΠΈΠΊΠΎΠ°Π³ΡΠ»ΡΠ½ΡΠΎΠΌ: 7,7% (17/222) ΠΏΡΠΎΡΠΈΠ² 10,3% (29/281); ΠΠ¨ 0,72 (0,37; 1,40); Ρ=0,35; Π =0,17. Π’ΡΠΆΠ΅Π»ΡΠ΅ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ (Π²ΠΊΠ»ΡΡΠ°Ρ ΠΈΠ½ΡΡΠ°ΠΊΡΠ°Π½ΠΈΠ°Π»ΡΠ½ΡΠ΅): 2,7% (6/22) ΠΏΡΠΎΡΠΈΠ² 3,2% (9/281); ΠΠ¨ 0,84 (0,26; 2,62); Ρ=0,80; Π =0,06. ΠΠ΅Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ: 5,0% (11/222) ΠΏΡΠΎΡΠΈΠ² 7,1% (20/281); ΠΠ¨ 0,72 (0,31; 1,63); Ρ=0,36; Π =0,16. ΠΠ½ΡΡΠ°ΠΊΡΠ°Π½ΠΈΠ°Π»ΡΠ½ΡΠ΅ ΠΊΡΠΎ- Π²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ: 0,90% (2/222) ΠΏΡΠΎΡΠΈΠ² 0,71% (2/281); ΠΠ¨ 1,27 (0,13; 12,67); Ρ=0,81; Π =0,13). ΠΠ΅ ΡΠ°Π·- Π»ΠΈΡΠ°Π»Π°ΡΡ ΠΈ ΡΠ°ΡΡΠΎΡΠ° ΠΏΠΎΠ²ΡΠΎΡΠ½ΡΡ
ΡΠΌΠ±ΠΎΠ»ΠΈΠΉ: 15,3% (34/222) ΠΈ 11,7% (33/281); ΠΠ¨ 1,36 (0,79; 2,35); Ρ=0,29; Π =0,22. ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅ Π’ΡΠΎΠΌΠ±ΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠ΅ΡΠ°ΠΏΠΈΡ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π°Π½ΡΠΈΠΊΠΎΠ°Π³ΡΠ»ΡΠ½ΡΠ½ΠΎΠΉ Π±ΡΠ»Π° ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½Π΅ΠΉ Π΄Π»Ρ Π²ΡΠΆΠΈΠ²Π°Π½ΠΈΡ; ΠΏΡΠΈ ΡΡΠΎΠΌ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡΡ
ΡΠ°Π·Π»ΠΈΡΠΈΠΉ Π² ΡΠ°ΡΡΠΎΡΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ Π½Π΅ Π±ΡΠ»ΠΎ Π²ΡΡΠ²Π»Π΅Π½ΠΎ. ΠΠ»ΡΡΠ΅Π²ΡΠ΅ ΡΠ»ΠΎΠ²Π°: Π»Π΅Π³ΠΎΡΠ½Π°Ρ ΡΠΌΠ±ΠΎΠ»ΠΈΡ, ΡΡΠΎΠΌΠ±ΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠ΅ΡΠ°ΠΏΠΈΡ, Π°Π½ΡΠΈΠΊΠΎΠ°Π³ΡΠ»ΡΠ½ΡΠ½Π°Ρ ΡΠ΅ΡΠ°ΠΏΠΈΡ, ΠΏΡΠΎΠΌΠ΅ΠΆΡΡΠΎΡΠ½ΡΠΉ ΡΠΈΡΠΊ Π½Π΅Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΠΎΠ³ΠΎ ΠΈΡΡ
ΠΎΠ΄Π°, Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΡΡΡ, ΠΈΠ½ΡΡΠ°ΠΊΡΠ°Π½ΠΈΠ°Π»ΡΠ½ΡΠ΅ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ, Π½Π°ΡΡΡΠ΅Π½ΠΈΡ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎΠ³ΠΎ ΡΠΈΡΠΌΠ°>< 0,001; Π =1,0). ΠΡΠΈ ΡΡΠΎΠΌΠ±ΠΎΠ»ΠΈΠ·ΠΈΡΠ΅ ΡΠ΅ΠΆΠ΅ ΡΠ°Π·Π²ΠΈΠ²Π°Π»Π°ΡΡ ΠΈΠ½ΡΠ°ΡΠΊΡΠ½Π°Ρ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΡ: Π² 19,8% (44/222) ΠΏΡΠΎΡΠΈΠ² 28,8% (81/281); ΠΠ¨ 0,61(0,39; 0,95); Ρ=0,022; Π =0,64. ΠΠ΅ Π±ΡΠ»ΠΎ Π²ΡΡΠ²Π»Π΅Π½ΠΎ ΡΠ°Π·Π»ΠΈΡΠΈΠΉ Π² ΡΠ°ΡΡΠΎΡΠ΅ Π³Π΅ΠΌΠΎΡΡΠ°Π³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ ΠΏΡΠΈ Π»Π΅ΡΠ΅Π½ΠΈΠΈ ΡΡΠΎΠΌΠ±ΠΎΠ»ΠΈΡΠΈΠΊΠΎΠΌ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π°Π½ΡΠΈΠΊΠΎΠ°Π³ΡΠ»ΡΠ½ΡΠΎΠΌ: 7,7% (17/222) ΠΏΡΠΎΡΠΈΠ² 10,3% (29/281); ΠΠ¨ 0,72 (0,37; 1,40); Ρ=0,35; Π =0,17. Π’ΡΠΆΠ΅Π»ΡΠ΅ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ (Π²ΠΊΠ»ΡΡΠ°Ρ ΠΈΠ½ΡΡΠ°ΠΊΡΠ°Π½ΠΈΠ°Π»ΡΠ½ΡΠ΅): 2,7% (6/22) ΠΏΡΠΎΡΠΈΠ² 3,2% (9/281); ΠΠ¨ 0,84 (0,26; 2,62); Ρ=0,80; Π =0,06. ΠΠ΅Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ: 5,0% (11/222) ΠΏΡΠΎΡΠΈΠ² 7,1% (20/281); ΠΠ¨ 0,72 (0,31; 1,63); Ρ=0,36; Π =0,16. ΠΠ½ΡΡΠ°ΠΊΡΠ°Π½ΠΈΠ°Π»ΡΠ½ΡΠ΅ ΠΊΡΠΎΠ²ΠΎΡΠ΅ΡΠ΅Π½ΠΈΡ: 0,90% (2/222) ΠΏΡΠΎΡΠΈΠ² 0,71% (2/281); ΠΠ¨ 1,27 (0,13; 12,67); Ρ=0,81; Π =0,13). ΠΠ΅ ΡΠ°Π·Π»ΠΈΡΠ°Π»Π°ΡΡ ΠΈ ΡΠ°ΡΡΠΎΡΠ° ΠΏΠΎΠ²ΡΠΎΡΠ½ΡΡ
ΡΠΌΠ±ΠΎΠ»ΠΈΠΉ: 15,3% (34/222) ΠΈ 11,7% (33/281); ΠΠ¨ 1,36 (0,79; 2,35); Ρ=0,29; Π =0,22.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅ Π’ΡΠΎΠΌΠ±ΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠ΅ΡΠ°ΠΏΠΈΡ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π°Π½ΡΠΈΠΊΠΎΠ°Π³ΡΠ»ΡΠ½ΡΠ½ΠΎΠΉ Π±ΡΠ»Π° ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½Π΅ΠΉ Π΄Π»Ρ Π²ΡΠΆΠΈΠ²Π°Π½ΠΈΡ; ΠΏΡΠΈ ΡΡΠΎΠΌ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ Π·Π½Π°ΡΠΈΠΌΡΡ
ΡΠ°Π·Π»ΠΈΡΠΈΠΉ Π² ΡΠ°ΡΡΠΎΡΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠΉ Π½Π΅ Π±ΡΠ»ΠΎ Π²ΡΡΠ²Π»Π΅Π½ΠΎ
Deep refinement of tellurium: equipment and process improvement through process simulation
Simulation data have been presented on a process of deep refinement of tellurium based on Authors-developed refinement technique implemented through analysis of the process unit thermodynamical condition using Flow Simulation software, from SolidWorks software product. The technique put forward herein has been implemented in a plant comprising a vertical air-tight reaction chamber arranged inside a multi-zone thermal unit and executing a sequence of refinement stages which use different techniques and are integrated in a single process. The experimental data which have been the basis for calculations have allowed one to determine the boundary conditions of the mathematical model taking into account previous operation experience of the software product used. Temperature profile calculation has been carried out taking into account all the types of heat transfer in the system, the weight / dimensions parameters of system units and the physicochemical properties of refined tellurium, materials of equipment fittings and reactor media. The temperature modes of the process stages have been accepted as the boundary conditions for the thermal calculations, with temperatures being measured at equipment fitting locations at which temperature gages connected with a PID controller have been installed. The simulation of specific refinement process conditions allowed process modes and equipment fitting component design to be corrected. We have developed and produced test models of process and imitation equipment. Analysis of the thermal fields for the final model has shown good agreement with the mathematical model. Equipment upgrading and process parameter improvement on the basis of the simulation results have allowed T-u Grade tellurium (99.95 wt.%) refinement to a 99.99992 wt.% purity by 30 main impurities in the course of physical experiments, the product yield being at least 60%