In a present study quality by design was used to develop a reliable highperformance liquid chromatography method for simultaneous estimation of simvastatin and fenofibrate. A robust chromatographic setting for quality peaks and appropriate component separation within a reasonable run duration was generated. Furthermore, to determine critical quality attributes (CQA), a quantitative relationship between critical material attributes and CQA was established using Box-Behnken design to produce analytical design space and develop a control approach. The mathematical models used three independent characteristics, acetonitrile volume, buffer molarity, and flow rate. The optimum and expected conditions were acetonitrile and potassium dihydrogen orthophosphate buffer (pH 2.9 adjusted, with orthophosphoric acid) (80.65:19.35 v/v) as an optimized mobile phase at a flow rate of 0.99 ml/min. We achieved adequate baseline separation of both drugs in just 10 min with these optimum parameters. The amount of acetonitrile was revealed to be the most important factor determining the perturbation plot responses. The %recoveries for both medicines were 99.15%-101.86% at all three levels. Both drugs showed relative standard deviations for repeatability, and intermediate precision were less than 2%. As a result, a simple, accurate, and repeatable high-performance liquid chromatography approach for routine quality control testing was developed.
Epidemically increased evidence reveals that the link between the 2019-nCoV and other similar strain of coronaviruses circulating in bats and specifically the Rhinopodous bat sub-species. These sub-species are ample and widely present in Southern China, Middle East Africa and Europe. Recent studies show that more than 500 CoV have been identified in bats in China. The Center for Diseases Control and Prevention and the World Health Organization maintains a website that is updated frequently with new cases of MERS-CoV infection. As per WHO Situation report 16th, 24,554 number of cases confirmed globally out of which 99.22% cases from china. A new coronavirus (2019-nCoV) is causing respiratory syndrome mostly in Hubei Province, China. Corona Virus spread over 24 countries including Japan, India, Korea, and other countries 2019-CoV infection vary from mild, moderate or severe illness; the later includes severe pneumonia, ARDS, sepsis and septic shock. There are two diagnostic tests for coronavirus infection i.e. molecular test and serology test. In this review article there are the various recent cases of the patients that are suffering from the corona virus, the outcome of these studies is that corona virus infection is an epidemic disease which affects Central Nervous System (CNS).
Objective: Nowadays, most pharmaceutical formulations contain more than one drug because there are numerous advantages to multicomponent formulations, like patient compliance, enhanced efficacy, synergetic effects of both drugs, etc. This review paper describes the simultaneous estimation methods such as UV spectroscopy and high-performance liquid chromatography (HPLC) to determine various drug molecules and active pharmaceutical ingradients (APIs). In addition, the implementation of the quality by design (QbD) principle is used to illustrate how these approaches can be developed and validated. Method: To estimate the drug content in these multicomponent formulations, several UV spectroscopy andHPLC methods have been developed and validated as per the available literature. UV spectrophotometry and HPLC are among the most critical tools in the analysis of drugs in pharmaceutical formulations. The QbD based optimization approach applies to developing the simultaneous estimation method, which could be designed with predefined objectives, that emphasize the product and process to maintain the desired quality. The QbD approach followed the guidelines mentioned in ICH Q8 (R2). Results: This review article gives brief information regarding the various QbD optimized UV and HPLC methods for simultaneous estimation of multicomponent formulations and their recent applications and elaborates on multiple steps in the development of the HPLC method along with their applications. Conclusion: The available information is very informative for multicomponent analysis and it will open new paradigms in upcoming research in the field of analysis.
: Artificial intelligence and robotics are both trendy and new science word technologies. These advances can address many pharmaceutical problems, including reducing the vast amount of money and time spent on drug development and manufacturing, technical solutions related to the protection of medicinal products, and the medication demand. The new subfield of nanorobotics comes from robotics itself. In the diagnosis and supply of drugs to the target organ, tissue, and cell, robots' nano or micron-scale is used. All these strategies are extensively discussed in this review for each of their pharmacy applications. Renowned pharmaceutical companies are working together with giant Artificial Intelligence to revolutionize potential drug molecules' discovery, production, and efficiency.
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