The significance of the original characteristics of the active substance of injectable chondroitin sulfate preparations for intramuscular injections in the evidence-based medicine

Autor: Alexander O. Pyatibrat, Dmitry Ivkin, Svetlana M. Napalkova, Sergey V. Okovityi
Rok vydání: 2021
Předmět:
Zdroj: Pharmacy Formulas.
ISSN: 2713-1602
2713-153X
Popis: Given the data from normative control resources and the research and development information system of the Ministry of Science and Education of the Russian Federation, we were unable to review the results and the quality of publications comprising method development and analytical validation of quantitative and qualitative values of injectable chondroitin sulfate preparations for intramuscular injections. Therefore, the results obtained in the research The development of a method for determining the intrinsic viscosity of an injectable chondroitin sodium sulfate preparation for intramuscular injections of 100 mg/ml, 2 ml remain valid, the method is considered reliable and practical. The materials and methods used in the research The development of a method for determining the intrinsic viscosity of an injectable chondroitin sulfate preparation have provided the possibility to determine the intrinsic viscosity for injectable chondroitin sodium sulfate preparations for intramuscular injections and the use of 0.2 M sodium chloride solution as a solvent. Also, the viscosity of the tested solutions in the concentration range of chondroitin sulfate 4.5-20 mg/ml was accurately сalculated, the value of the intrinsic viscosity determined for each of the preparations under test was in the range of 0.03-0.042 m3/kg. This study presents the results of a review of recent information, published in a number of academic journals, concerning modern approaches to the treatment and major clinical problems when applying chondroprotectors for arthrological diseases treatment. Considering the continuing interest in chondroprotectors, stability problems with formulations and modern possibilities in the application of machine learning in drug discovery, additional pharmaceutical design research (Drug design) is expected - from the docking stage to the quantum calculations stage.
Databáze: OpenAIRE