风险分析(工程)
药物开发
计算机科学
生化工程
管理科学
过程(计算)
仪表(计算机编程)
领域(数学)
设计质量
制药工业
数据科学
系统工程
过程开发
过程管理
开发(拓扑)
精密医学
过程分析技术
溶剂萃取
监管科学
复矩阵
可持续发展
药物发现
分析技术
作者
Sk Manirul Haque,Abuzar Kabir,Nedal Y. Abu-Thabit,Akanksha Singh Kachhawaha,Pintu Prajapati,Sreekumar PA,Masoom Raza Siddiqui
标识
DOI:10.1080/10408347.2025.2610318
摘要
Drug development is a highly regulated process with direct implications for human health and well-being. This complex, multi-phase procedure relies heavily on advances in analytical methodologies. Instrumental techniques are now widely preferred over classical methods, offering enhanced sensitivity, selectivity, and cost-effectiveness. The success of these approaches is intrinsically linked to sample preparation, which plays a decisive role in minimizing matrix interferences and ensuring reliable results. While traditional pharmaceutical analysis often employs extraction-based strategies, modern quantitative analysis in complex matrices increasingly emphasizes sustainable extraction procedures with reduced solvent and energy consumption. Critical factors in method development include achieving adequate sensitivity and selectivity, maintaining accuracy and precision, employing accessible and cost-effective instrumentation and reagents, and ensuring time efficiency. Furthermore, rapid advances in instrumentation, data analysis, and computerization have introduced innovative strategies that address the growing complexity of drug design while meeting stringent regulatory requirements. The current critical review presents an update on the state-of-the-art of analytical techniques in the broader field of drug development and validation practices in pharmaceutical and affiliated research.
科研通智能强力驱动
Strongly Powered by AbleSci AI