76 research outputs found
Quantification of key developmental risks in Africa
Current research identifies six key developmental risks for Africa: (a) vulnerability of infrastructure, (b) health, (c) education, (d) political and security risk, (e) vulnerability to natural disasters and (f) limitation of access to drinking water and sanitary facilities. Key risks are combined to an integrated risk measure and their impact on 42. African countries is analyzed. Six countries most susceptible to the indicated set of risks are isolated.ΠΠΈΠ·Π½Π°ΡΠ΅Π½ΠΎ ΡΡΡΡΡ ΠΎΡΠ½ΠΎΠ²Π½ΠΈΡ
ΡΠΈΠ·ΠΈΠΊΡΠ² ΡΡΠ°Π»ΠΎΠ³ΠΎ ΡΠΎΠ·Π²ΠΈΡΠΊΡ ΠΡΡΠΈΠΊΠΈ: 1) ΡΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ°, 2) ΠΎΡ
ΠΎΡΠΎΠ½Π° Π·Π΄ΠΎΡΠΎΠ²βΡ, 3) ΠΎΡΠ²ΡΡΠ°, 4) ΠΏΠΎΠ»ΡΡΠΈΠΊΠ° ΡΠ° Π΄Π΅ΡΠΆΠ±Π΅Π·ΠΏΠ΅ΠΊΠ°, 5) ΠΏΡΠΈΡΠΎΠ΄Π½Ρ ΠΊΠ°ΡΠ°ΠΊΠ»ΡΠ·ΠΌΠΈ, 6) ΠΎΠ±ΠΌΠ΅ΠΆΠ΅Π½ΠΈΠΉ Π΄ΠΎΡΡΡΠΏ Π΄ΠΎ ΠΏΠΈΡΠ½ΠΎΡ Π²ΠΎΠ΄ΠΈ Ρ ΡΠ°Π½ΡΡΠ°ΡΠ½ΠΈΡ
Π·Π°ΡΠΎΠ±ΡΠ². Π¦Ρ ΡΠΈΠ·ΠΈΠΊΠΈ ΠΎΠ±βΡΠ΄Π½Π°Π½ΠΎ ΠΏΠΎΠ½ΡΡΡΡ ΡΠ΄ΠΈΠ½ΠΎΠ³ΠΎ ΡΠ½ΡΠ΅Π³ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΈΠ·ΠΈΠΊΡ. ΠΡΠΎΠ°Π½Π°Π»ΡΠ·ΠΎΠ²Π°Π½ΠΎ ΡΡ
Π²ΠΏΠ»ΠΈΠ² Π½Π° ΡΠΎΠ·Π²ΠΈΡΠΎΠΊ 42 ΠΊΡΠ°ΡΠ½ ΠΡΡΠΈΠΊΠΈ. ΠΠΈΠΎΠΊΡΠ΅ΠΌΠ»Π΅Π½ΠΎ ΡΡΡΡΡ ΠΊΡΠ°ΡΠ½, Π½Π°ΠΉΠ±ΡΠ»ΡΡ Π²ΡΠ°Π·Π»ΠΈΠ²ΠΈΡ
Π΄ΠΎ Π΄ΡΡ ΡΡΠΎΠ³ΠΎ Π½Π°Π±ΠΎΡΡ ΡΠΈΠ·ΠΈΠΊΡΠ².ΠΡΠ΄Π΅Π»Π΅Π½Ρ ΡΠ΅ΡΡΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
ΡΠΈΡΠΊΠΎΠ² ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΡΡΠΈΠΊΠΈ: 1) ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ°, 2) Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΠ΅, 3) ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅, 4) ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠ° ΠΈ Π³ΠΎΡΠ±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡ,
5) ΠΏΡΠΈΡΠΎΠ΄Π½ΡΠ΅ ΠΊΠ°ΡΠ°ΠΊΠ»ΠΈΠ·ΠΌΡ, 6) ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½Π½ΡΠΉ Π΄ΠΎΡΡΡΠΏ ΠΊ ΠΏΠΈΡΡΠ΅Π²ΠΎΠΉ Π²ΠΎΠ΄Π΅ ΠΈ ΡΠ°Π½ΠΈΡΠ°ΡΠ½ΡΠΌ
ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌ. ΠΠ΅ΡΠ΅ΡΠΈΡΠ»Π΅Π½Π½ΡΠ΅ ΡΠΈΡΠΊΠΈ ΠΎΠ±ΡΠ΅Π΄ΠΈΠ½Π΅Π½Ρ Π² ΠΏΠΎΠ½ΡΡΠΈΠ΅ Π΅Π΄ΠΈΠ½ΠΎΠ³ΠΎ ΠΈΠ½ΡΠ΅Π³ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ
ΡΠΈΡΠΊΠ°. ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½ΠΎ ΠΈΡ
Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π° ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ 42 ΡΡΡΠ°Π½ ΠΡΡΠΈΠΊΠΈ. ΠΡΠ΄Π΅Π»Π΅Π½Ρ
ΡΠ΅ΡΡΡ ΡΡΡΠ°Π½, Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΡΡ
ΠΊ Π΄Π΅ΠΉΡΡΠ²ΠΈΡ ΡΡΠΎΠ³ΠΎ Π½Π°Π±ΠΎΡΠ° ΡΠΈΡΠΊΠΎΠ²
Composition of aggregate developmental risk index for selected subset of countries in Latin Πmerica
Seven key developmental risks for Latin America are isolated: a) ecology and deforestation, b) natural disasters, c) drugs and crime, d) political stability, e) access to clean drinking water and sanitation facilities, f) health of the population and g) education level of the population. Selected factors are aggregated into an integrated risk index for the twenty three Latin American countries. Countries most susceptible to the indicated set of the threats are identified.ΠΠΈΠ΄ΡΠ»Π΅Π½ΠΎ ΡΡΠΌ ΠΊΠ»ΡΡΠΎΠ²ΠΈΡ
ΡΠΈΠ·ΠΈΠΊΡΠ² ΡΡΠ°Π»ΠΎΠ³ΠΎ ΡΠΎΠ·Π²ΠΈΡΠΊΡ ΠΠ°ΡΠΈΠ½ΡΡΠΊΠΎΡ ΠΠΌΠ΅ΡΠΈΠΊΠΈ: 1) Π΅ΠΊΠΎΠ»ΠΎΠ³ΡΡ ΡΠ° Π²ΠΈΠ½ΠΈΡΠ΅Π½Π½Ρ Π»ΡΡΡΠ²; 2) ΠΏΡΠΈΡΠΎΠ΄Π½Ρ ΠΊΠ°ΡΠ°ΠΊΠ»ΡΠ·ΠΌΠΈ; 3) Π½Π°ΡΠΊΠΎΡΠΈΠΊΠΈ ΡΠ° Π·Π»ΠΎΡΠΈΠ½Π½ΡΡΡΡ;4) ΠΏΠΎΠ»ΡΡΠΈΠΊΠ° ΡΠ° Π±Π΅Π·ΠΏΠ΅ΠΊΠ°; 5) ΠΎΠ±ΠΌΠ΅ΠΆΠ΅Π½ΠΈΠΉ Π΄ΠΎΡΡΡΠΏ Π΄ΠΎ ΠΏΠΈΡΠ½ΠΎΡ Π²ΠΎΠ΄ΠΈ ΡΠ° ΡΠ°Π½ΡΡΠ°ΡΠ½Ρ ΡΠΌΠΎΠ²ΠΈ; Π²Π΅ΠΊΡΠΎΡ Π·Π°Π³ΡΠΎΠ· Π΄Π»Ρ 23 ΠΊΡΠ°ΡΠ½ ΠΠ°ΡΠΈΠ½ΡΡΠΊΠΎΡ ΠΠΌΠ΅ΡΠΈΠΊΠΈ. ΠΠ΄Π΅Π½ΡΠΈΡΡΠΊΠΎΠ²Π°Π½ΠΎ ΠΊΡΠ°ΡΠ½ΠΈ, Π½Π°ΠΉΠ±ΡΠ»ΡΡ Π²ΡΠ°Π·Π»ΠΈΠ²Ρ Π· Π±ΠΎΠΊΡ Π²ΠΈΠ΄ΡΠ»Π΅Π½ΠΎΡ ΡΠΈΡΡΠ΅ΠΌΠΈ ΡΠΈΠ·ΠΈΠΊΡΠ².ΠΡΠ΄Π΅Π»Π΅Π½Ρ ΡΠ΅ΠΌΡ ΠΊΠ»ΡΡΠ΅Π²ΡΡ
ΡΠΈΡΠΊΠΎΠ² ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΠ°ΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΠΌΠ΅ΡΠΈΠΊΠΈ: 1) ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡ ΠΈ ΡΠ½ΠΈΡΡΠΎΠΆΠ΅Π½ΠΈΠ΅ Π»Π΅ΡΠΎΠ²; 2) ΠΏΡΠΈΡΠΎΠ΄Π½ΡΠ΅ ΠΊΠ°ΡΠ°ΠΊΠ»ΠΈΠ·ΠΌΡ; 3) Π½Π°ΡΠΊΠΎΡΠΈΠΊΠΈ ΠΈ ΠΏΡΠ΅ΡΡΡΠΏΠ½ΠΎΡΡΡ; 4) ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠ° ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡ; 5) ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½Π½ΡΠΉ Π΄ΠΎΡΡΡΠΏ ΠΊ ΠΏΠΈΡΡΠ΅Π²ΠΎΠΉ Π²ΠΎΠ΄Π΅ ΠΈ ΡΠ°Π½ΠΈΡΠ°ΡΠ½ΡΠ΅ ΡΡΠ»ΠΎΠ²ΠΈΡ; 6) Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΠ΅; 7) ΡΡΠΎΠ²Π΅Π½Ρ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ. Π ΠΈΡΠΊΠΈ ΡΠΈΠ½ΡΠ΅Π·ΠΈΡΠΎΠ²Π°Π½Ρ Π² ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΠΉ Π²Π΅ΠΊΡΠΎΡ ΡΠ³ΡΠΎΠ· Π΄Π»Ρ 23 ΡΡΡΠ°Π½ ΠΠ°ΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΠΌΠ΅ΡΠΈΠΊΠΈ. ΠΠ΄Π΅Π½ΡΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Ρ ΡΡΡΠ°Π½Ρ, Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΡΠ·Π²ΠΈΠΌΡΠ΅ ΡΠΎ ΡΡΠΎΡΠΎΠ½Ρ Π²ΡΠ΄Π΅Π»Π΅Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠΈΡΠΊΠΎΠ²
Recommended from our members
Immunohistochemical Studies of S-100 Protein During Postnatal Ontogenesis of the Brain of Two Strains of Rats
We have studied the dynamics of the appearance of cells reacting positively with anti-S-100 protein antiserum, during postnatal neurocytogenesis in the brain of rats of two strains differing in their susceptibility to sound stimuli. The postnatal time of appearance of cells reacting positively with anti-S-100 protein antiserum was somewhat later in rats susceptible to sound-induced seizures than in sound-resistant rats. These differences concerned mainly the cerebral cortex of 12-day-old rats. By day 21 of postnatal life these differences had disappeared. In subcortical structures of the brain, S-100 protein was first found on the 4th to the 5th day of life and the rate of appearance of cells containing this protein was similar in the two strains
Forming Estimation Cluster Structures from the Point of View of Competitiveness of Potential of Republic Mary El with the Influence of Economic Sanctions of the West
Now in any social - economic system including in Mary El Republic, the concept of economic development and competitiveness is actual. Quantity and quality growth of clusters in republic is confirmed with viability of the given model of development of business and territory. The cluster approach in system gives a number of advantages (institutional, innovative, increase of efficiency of production activity) for which account probably to achieve increase in economic growth, change of structural shifts of region, increase in volume of involved direct investments, employment solutions of a problem. Effective realisation of cluster structure demands creation of adequate system of monitoring and a realisation estimation of cluster initiatives. Their continuity should be an important condition of functioning of systems of monitoring, i.e. possibility in real time to trace growth and the barriers interfering development of clusters. It is obvious that cluster structures can be formed both within the limits of one industry, and between industries. Availability of close interrelations between region industries - buyers and manufacturers of goods - testifies to communication of the enterprises of the given industries on a chain of creation of value added and reflects possibility synergetic effect at deepening and expansion of their partner relations. Thus, the close connection between industries pledges conditions for forming cluster structures in increase of competitiveness of potential of region.
DOI: 10.5901/mjss.2015.v6n3s7p24
Accounting for somatic recombination (mosaicism) in drosophila melanogaster
The relevance of the work is associated with the importance of testing drugs for genotoxicity. The study of mutagenicity of new pharmacological agents and auxiliary components of dosage forms is carried out at the stage of preclinical study of safety of their application. This work provides an assessment of the ability of drugs to induce different types of mutations in embryonic and somatic cells and makes it necessary to use a set of methods performed on different test objects to assess the mutagenic properties of drugs. This eliminates the effect of the drug as a mutagen on the body, prevents unwanted effects on the patient.ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΡΠ°Π±ΠΎΡΡ ΡΠ²ΡΠ·Π°Π½Π° Ρ Π²Π°ΠΆΠ½ΠΎΡΡΡΡ ΡΠ΅ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠΎΠ² Π½Π° Π³Π΅Π½ΠΎΡΠΎΠΊΡΠΈΡΠ½ΠΎΡΡΡ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΌΡΡΠ°Π³Π΅Π½Π½ΠΎΡΡΠΈ Π½ΠΎΠ²ΡΡ
ΡΠ°ΡΠΌΠ°ΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΡΠ΅Π΄ΡΡΠ² ΠΈ Π²ΡΠΏΠΎΠΌΠΎΠ³Π°ΡΠ΅Π»ΡΠ½ΡΡ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΎΠ² Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΡΡ
ΡΠΎΡΠΌ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡΡ Π½Π° ΡΡΠ°ΠΏΠ΅ Π΄ΠΎΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ ΠΈΡ
ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ. ΠΡΠ° ΡΠ°Π±ΠΎΡΠ° ΠΏΡΠ΅Π΄ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅Ρ ΠΎΡΠ΅Π½ΠΊΡ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ Π»Π΅ΠΊΠ°ΡΡΡΠ²Π΅Π½Π½ΡΡ
ΡΡΠ΅Π΄ΡΡΠ² ΠΊ ΠΈΠ½Π΄ΡΠΊΡΠΈΠΈ ΡΠ°Π·Π½ΡΡ
ΡΠΈΠΏΠΎΠ² ΠΌΡΡΠ°ΡΠΈΠΉ Π² Π·Π°ΡΠΎΠ΄ΡΡΠ΅Π²ΡΡ
ΠΈ ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΊΠ»Π΅ΡΠΊΠ°Ρ
ΠΈ Π΄Π΅Π»Π°Π΅Ρ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΌΡΡΠ°Π³Π΅Π½Π½ΡΡ
ΡΠ²ΠΎΠΉΡΡΠ² Π»Π΅ΠΊΠ°ΡΡΡΠ² ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ², Π²ΡΠΏΠΎΠ»Π½ΡΠ΅ΠΌΡΡ
Π½Π° ΡΠ°Π·Π½ΡΡ
ΡΠ΅ΡΡ-ΠΎΠ±ΡΠ΅ΠΊΡΠ°Ρ
. ΠΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΈΡΠΊΠ»ΡΡΠΈΡΡ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΠΏΡΠ΅ΠΏΠ°ΡΠ°ΡΠ° Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΌΡΡΠ°Π³Π΅Π½Π° Π½Π° ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌ, ΠΏΡΠ΅Π΄ΠΎΡΠ²ΡΠ°ΡΠ°Π΅Ρ Π½Π΅ΠΆΠ΅Π»Π°ΡΠ΅Π»ΡΠ½ΡΠ΅ Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π½Π° ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°
STATE OF MINERAL BONE TISSUE DENSITY IN EMPLOYEES ATTENDING TO SEVEROMUISKI TUNNEL
The results of the examination of employees realizing the exploitation of the Severomuiski distance of railway in serving of the tunnels of the East-Siberian railway concerning studying the state of mineral bone tissue density are presented in this paper. Examined patients (66 men) were divided into two age groups β up to 50 years old. and. older than 50 years old. The double-energetic x-ray absorptiometry (osteodensitometry) was performed. The reduction in the mineral bone tissue density was found to be in both studied groups
Π‘ΠΠΠ’ΠΠ ΠΠΠΠΠΠ‘ΠΠΠΠ ΠΠΠ©ΠΠ₯ ΠΠΠΠΠΠΠ ΠΠ«Π₯ ΠΠΠΠ ΠΠ‘Π€ΠΠ ΠΠΠ’Π ΠΠΠΠ§ΠΠΠ Π‘ΠΠΠΠΠΠΠΠ ΠΠΠΠ¦ΠΠΠ ΠΠΠ― ΠΠ ΠΠΠΠΠΠΠΠ― Π ΠΠΠΠ’ΠΠ₯ΠΠΠΠΠΠΠ
This paper presents the results of studies of seed copolymerization of glycidyl methacrylate with ethylene glycol poly(glycidyl methacrylate) on seed particles in order to obtain partially crosslinked polymer microspheres with a diameter of about 3.5 microns for use in immunochemical reactions, as carriers of bioligands. The physico-chemical properties of polymeric microspheres obtained under different conditions were studied by the following methods: the diameters of the particles - by electron scanning and light microscopy; the wetting angle - bΡ the method of "lying droplets"; the sedimentation velocity - by the macromethod in a capillary tube by the movement of the (polymer slurry)/water phase boundary (buffer solution); the zeta-potential - by dynamic light scattering. Having studied the physical-chemical properties of all polymer slurries we concluded that the optimal particles to create on the basis of their diagnostic test systems with high sensitivity working on the principle of latex agglutination reaction are poly(glycidyl methacrylate) particles with equal percentage of glycidyl methacrylate and ethylene glycol dimethacrylate aminated with hexamethylendiamine in the environment of n-propanol, because they have a sufficient number of amino groups and do not lose their sedimentation properties after all stages of the synthesis.Π Π΄Π°Π½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΠΎ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ Π·Π°ΡΡΠ°Π²ΠΎΡΠ½ΠΎΠΉ ΡΠΎΠΏΠΎΠ»ΠΈΠΌΠ΅ΡΠΈΠ·Π°ΡΠΈΠΈ Π³Π»ΠΈΡΠΈΠ΄ΠΈΠ»ΠΌΠ΅ΡΠ°ΠΊΡΠΈΠ»Π°ΡΠ° Ρ ΡΡΠΈΠ»Π΅Π½Π³Π»ΠΈΠΊΠΎΠ»ΡΠ΄ΠΈΠΌΠ΅ΡΠ°ΠΊΡΠΈΠ»Π°ΡΠΎΠΌ Π½Π° Π·Π°ΡΡΠ°Π²ΠΎΡΠ½ΡΡ
ΠΏΠΎΠ»ΠΈΠ³Π»ΠΈΡΠΈΠ΄ΠΈΠ»ΠΌΠ΅ΡΠ°ΠΊΡΠΈΠ»Π°ΡΠ½ΡΡ
ΡΠ°ΡΡΠΈΡΠ°Ρ
c ΡΠ΅Π»ΡΡ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ ΡΠ°ΡΡΠΈΡΠ½ΠΎ ΡΡΠΈΡΡΡ
ΠΏΠΎΠ»ΠΈΠΌΠ΅ΡΠ½ΡΡ
ΠΌΠΈΠΊΡΠΎΡΡΠ΅Ρ Ρ Π΄ΠΈΠ°ΠΌΠ΅ΡΡΠΎΠΌ ΠΏΠΎΡΡΠ΄ΠΊΠ° 3.5 ΠΌΠΊΠΌ Π΄Π»Ρ ΠΈΡ
ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π² ΠΈΠΌΠΌΡΠ½ΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅Π°ΠΊΡΠΈΡΡ
Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ Π½ΠΎΡΠΈΡΠ΅Π»Π΅ΠΉ Π±ΠΈΠΎΠ»ΠΈΠ³Π°Π½Π΄ΠΎΠ². Π€ΠΈΠ·ΠΈΠΊΠΎ-Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ²ΠΎΠΉΡΡΠ²Π° ΠΏΠΎΠ»ΠΈΠΌΠ΅ΡΠ½ΡΡ
ΠΌΠΈΠΊΡΠΎΡΡΠ΅Ρ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
Π² ΡΠ°Π·Π½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
, Π±ΡΠ»ΠΈ ΠΈΠ·ΡΡΠ΅Π½Ρ ΡΠ»Π΅Π΄ΡΡΡΠΈΠΌΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ: Π΄ΠΈΠ°ΠΌΠ΅ΡΡΡ ΡΠ°ΡΡΠΈΡ - ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΠ½Π½ΠΎΠΉ ΡΠΊΠ°Π½ΠΈΡΡΡΡΠ΅ΠΉ ΠΈ ΡΠ²Π΅ΡΠΎΠ²ΠΎΠΉ ΠΌΠΈΠΊΡΠΎΡΠΊΠΎΠΏΠΈΠΈ, ΠΊΡΠ°Π΅Π²ΠΎΠΉ ΡΠ³ΠΎΠ» ΡΠΌΠ°ΡΠΈΠ²Π°Π½ΠΈΡ - ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Β«Π»Π΅ΠΆΠ°ΡΠ΅ΠΉ ΠΊΠ°ΠΏΠ»ΠΈΒ», ΡΠΊΠΎΡΠΎΡΡΡ ΡΠ΅Π΄ΠΈΠΌΠ΅Π½ΡΠ°ΡΠΈΠΈ - ΠΌΠ°ΠΊΡΠΎΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π² ΠΊΠ°ΠΏΠΈΠ»Π»ΡΡΠ΅ ΠΏΠΎ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ Π³ΡΠ°Π½ΠΈΡΡ ΡΠ°Π·Π΄Π΅Π»Π° ΡΠ°Π· ΠΏΠΎΠ»ΠΈΠΌΠ΅ΡΠ½Π°Ρ ΡΡΡΠΏΠ΅Π½Π·ΠΈΡ/Π²ΠΎΠ΄Π° (Π±ΡΡΠ΅ΡΠ½ΡΠΉ ΡΠ°ΡΡΠ²ΠΎΡ), Π΄Π·Π΅ΡΠ°-ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π» - ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠ²Π΅ΡΠΎΡΠ°ΡΡΠ΅ΡΠ½ΠΈΡ. ΠΠ·ΡΡΠΈΠ² ΡΠΈΠ·ΠΈΠΊΠΎ-Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ²ΠΎΠΉΡΡΠ²Π° Π²ΡΠ΅Ρ
ΠΏΠΎΠ»ΠΈΠΌΠ΅ΡΠ½ΡΡ
ΡΡΡΠΏΠ΅Π½Π·ΠΈΠΉ, Π±ΡΠ» ΡΠ΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄, ΡΡΠΎ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΠΌΠΈ ΡΠ°ΡΡΠΈΡΠ°ΠΌΠΈ Π΄Π»Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ Π½Π° ΠΈΡ
ΠΎΡΠ½ΠΎΠ²Π΅ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅ΡΡ-ΡΠΈΡΡΠ΅ΠΌΡ Ρ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡΡ, ΡΠ°Π±ΠΎΡΠ°ΡΡΠ΅ΠΉ ΠΏΠΎ ΠΏΡΠΈΠ½ΡΠΈΠΏΡ ΡΠ΅Π°ΠΊΡΠΈΠΈ Π»Π°ΡΠ΅ΠΊΡΠ½ΠΎΠΉ Π°Π³Π³Π»ΡΡΠΈΠ½Π°ΡΠΈΠΈ, ΡΠ²Π»ΡΡΡΡΡ ΠΏΠΎΠ»ΠΈΠ³Π»ΠΈΡΠΈΠ΄ΠΈΠ»ΠΌΠ΅ΡΠ°ΠΊΡΠΈΠ»Π°ΡΠ½ΡΠ΅ ΡΠ°ΡΡΠΈΡΡ Ρ ΡΠ°Π²Π½ΡΠΌ ΠΏΡΠΎΡΠ΅Π½ΡΠ½ΡΠΌ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ΠΌ Π³Π»ΠΈΡΠΈΠ΄ΠΈΠ»ΠΌΠ΅ΡΠ°ΠΊΡΠΈΠ»Π°ΡΠ° ΠΈ ΡΡΠΈΠ»Π΅Π½Π³Π»ΠΈΠΊΠΎΠ»ΡΠ΄ΠΈΠΌΠ΅ΡΠ°ΠΊΡΠΈΠ»Π°ΡΠ°, Π°ΠΌΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ Π³Π΅ΠΊΡΠ°ΠΌΠ΅ΡΠΈΠ»Π΅Π½Π΄ΠΈΠ°ΠΌΠΈΠ½ΠΎΠΌ Π² ΡΡΠ΅Π΄Π΅ Π½-ΠΏΡΠΎΠΏΠ°Π½ΠΎΠ»Π°, ΡΠ°ΠΊ ΠΊΠ°ΠΊ ΠΎΠ½ΠΈ ΠΎΠ±Π»Π°Π΄Π°ΡΡ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΡΠΌ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎΠΌ Π°ΠΌΠΈΠ½ΠΎΠ³ΡΡΠΏΠΏ, Π½Π΅ ΡΠ΅ΡΡΡΡ ΡΠ΅Π΄ΠΈΠΌΠ΅Π½ΡΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ²ΠΎΠΉΡΡΠ² ΠΏΠΎΡΠ»Π΅ Π²ΡΠ΅Ρ
ΡΡΠ°Π΄ΠΈΠΉ ΡΠΈΠ½ΡΠ΅Π·Π°
A Multilaboratory Comparison of Calibration Accuracy and the Performance of External References in Analytical Ultracentrifugation
Analytical ultracentrifugation (AUC) is a first principles based method to determine absolute sedimentation coefficients and buoyant molar masses of macromolecules and their complexes, reporting on their size and shape in free solution. The purpose of this multi-laboratory study was to establish the precision and accuracy of basic data dimensions in AUC and validate previously proposed calibration techniques. Three kits of AUC cell assemblies containing radial and temperature calibration tools and a bovine serum albumin (BSA) reference sample were shared among 67 laboratories, generating 129 comprehensive data sets. These allowed for an assessment of many parameters of instrument performance, including accuracy of the reported scan time after the start of centrifugation, the accuracy of the temperature calibration, and the accuracy of the radial magnification. The range of sedimentation coefficients obtained for BSA monomer in different instruments and using different optical systems was from 3.655 S to 4.949 S, with a mean and standard deviation of (4.304 Β± 0.188) S (4.4%). After the combined application of correction factors derived from the external calibration references for elapsed time, scan velocity, temperature, and radial magnification, the range of s-values was reduced 7-fold with a mean of 4.325 S and a 6-fold reduced standard deviation of Β± 0.030 S (0.7%). In addition, the large data set provided an opportunity to determine the instrument-to-instrument variation of the absolute radial positions reported in the scan files, the precision of photometric or refractometric signal magnitudes, and the precision of the calculated apparent molar mass of BSA monomer and the fraction of BSA dimers. These results highlight the necessity and effectiveness of independent calibration of basic AUC data dimensions for reliable quantitative studies
- β¦