Analysis of the mineral composition of coriander seed cake (Coriandrum sativum L.) for the development of new phytobiotics feed additives

The purpose of this research was to study the mineral composition of feed additives based on coriander cake (Coriandrum sativum L.) with varying saturation with essential oils. Compositions of several types of feed additives have been developed from by-products of the production of essential oil (coriander cake) and various amounts of essential oil (0.03- 0.1%, 2.0, and 4.0%). The granulometric and chemical (including mineral) composition of coriander cake obtained from fruits grown in different regions was studied. In all developed feed additives, the particle size of 0.315-0.500 mm was more than 70%. It was found that the best characteristics in the study of mineral and nutritional value are obtained from the cake obtained from the Republic of Crimea, Belgorod and Rostov regions. The results showed that the highest moisture content was found in the coriander cake in sample 3, and the lowest in sample 1. The concentration of minerals (crude ash – 5.16-6.10%, respectively. It was found that the concentration of arsenic in coriander cake was < 0.01 mg/kg DM, cadmium – < 0.005, lead – < 0.01, mercury – < 0.010 mg/kg DM. Among the heavy metals (an ultra-trace element), nickel was found in coriander cake (from 1.9 to 4.1 mg/kg, respectively, while the maximum amount was contained in the sample from the Rostov region, the smallest - from the Republic of Crimea). A similar trend was observed in the content of selenium and chromium in all samples where they were detected – selenium from 0.4-0.45 mg/kg, and chromium – less than 0.025 mg/kg DM

Modern aproaches to diabetic macular edema diagnosticks

Diabetic macular edema (DME) continues to be an important problem of modern ophthalmology and endocrinology. The&nbsp;risk of edema is higher in patients with type 2 diabetes. Thus, this is the main cause of irreversible vision loss in these patients. DME is one of the prognostically unfavorable and difficult to treat manifestations of diabetic retinopathy. As the&nbsp;main cause of vision loss in diabetic patients, diabetic macular edema is often not diagnosed immediately, which causes difficulties in the treatment of pathology. Thus, early diagnosis and timely treatment of this disease is the key to successfully counteract the uncontrolled decline in the patient&rsquo;s visual functions. In this article, the team of authors highlighted the possibilities of informative instrumental research methods available in the Arsenal of modern ophthalmological services. Based on the analysis of modern literature, the main principles of these diagnostic methods were indicated, their key capabilities and limitations compared to each other were highlighted. Knowledge of these characteristics is, in our opinion, an integral and most important tool in the Arsenal of a practicing ophthalmologist who supervises patients with this pathology

New superstructural thermoplastics and carbon composite materials based on them

New superconstructional polyarylates with glass transition temperatures from 216 to 280°C and polyethersulfones with glass transition temperatures from 230 to 255°C have been developed. On the basis of these polymers, industrial polysulfone PSFF-30, PSF-150, polyethersulfone E-3010, polyetherimide Ultem 1000, PEEK and PEKK, and two types of carbon fabrics, thermoplastic prepregs and consolidated carbon composite plates were obtained, and their mechanical properties under compression and three-point bending were determined

Bayesian Approach to Particles Identification in the MPD Experimen

Identification of particles generated by ion collisions in the NICA collider is one of the basic functions of the Multipurpose Detector (MPD). The main means of identification in MPD are the time-of-flight system (TOF) and the time-projection chamber (TPC). The article considers the optimization of the algorithms of particles identification by these systems. Under certain conditions, the use of the statistical Bayesian approach has made it possible to achieve an optimal ratio of the efficiency of particle identification and contamination by incorrectly defined particles