Some Quality Control Analysis Parameters for Parenteral Formulations

Parenteral Drugs Large small volume parenteral defined as formulation intended for injection into skin, veins, artery muscles or other external boundary tissue, rather than through the alimentary canal, so that formulation directly reach to systemic circulation cause the onset action. Intravenous IV , subcutaneous SC , and intramuscular IM route are the mostly commonly used parenteral routes, but there are also less frequent used routes includes intradermal, intra arterial. Generally, are classified into large volume parenteral and small volume depending on the package size if more than 100 ml termed as large volume parenteral and rest small volume parenteral except biological. In 21st, Century, pharmaceutical manufacturing sector geared up to deliver the medicine at faster rate with excellence performance. With help of automation and sophisticated analytical techniques, thus industries are capable to achieve significant to quality controlled formulation. Currently, world wide efforts have been made to ensure the practice good manufacturing practice and good laboratory practices for the uplifting of pharmaceuticals. In process quality control tests are carried out with a motive to eliminate error from each step in manufacturing and maintain the quality of the finished products with the official standards as specified in the pharmacopoeias. Present review it is clearly depicted that various pharmacopoeias guides different quality parameters but the major intention is to produce effective good quality products and implement the good manufacturing practices. Shubham Kumar | Dr. Rajiv K. Tonk | Dr. Prabodh C. Sharma "Some Quality Control Analysis Parameters for Parenteral Formulations" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42432.pdf Paper URL: https://www.ijtsrd.compharmacy/other/42432/some-quality-control-analysis-parameters-for-parenteral-formulations/shubham-kumar