对阿齐尔沙坦美多克索米尔的稳定性指示HPLC分析:基于QbD的方法开发和验证
Divya Zambre1, Ujban Hussain1, Sameer Sheikh1
1Department of Pharmaceutical Sciences, Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, Maharashtra, India.
概括
一种新的HPLC方法可以准确量化阿齐尔沙坦甲 (AZM) 和其杂质. 这种稳定性指示方法确保了对这种必不可少的血管激素II受体抗剂的药品质量控制.
科学领域:
- 药品分析 药品分析
- 分析化学 分析化学
- 药品质量控制 药品质量控制
背景情况:
- 阿齐尔沙坦甲 (Azilsartan Medoxomil Potassium,简称AZM) 呈现不稳定性和水溶性差,需要强大的分析方法.
- 精确量化AZM及其杂质对于确保药物的安全性和有效性至关重要.
- 现有的分析方法可能无法充分解决AZM物理化学性质带来的挑战.
研究的目的:
- 为AZM开发和优化一种稳定性指示高性能液态染色学 (HPLC) 方法.
- 准确量化AZM及其相关杂质在活性药物成分 (API) 和配方产品中的含量.
- 根据设计时的分析质量 (A-QbD) 原则验证开发的方法.
主要方法:
- 在方法开发中使用了分析性设计质量 (A-QbD) 框架.
- 采用中央复合设计 (CCD) 来优化关键方法参数 (乙基度,缓冲 pH,流量).
- 在各种压力条件下 (酸性,基本性,氧化性,光分解性) 进行强制降解研究,以评估稳定性指示能力.
主要成果:
- 优化的HPLC方法表现出高准确度,精度和灵敏度.
- 实现了广泛的线性响应范围 (10-50μg/mL),检测和量化的极限较低.
- 成功确定了不同的降解产品,证实了该方法的选择性和稳定性指示性.
- 已验证的方法应用于商业AZM配方,在可接受的质量控制范围内产生检测值.
结论:
- 一种可靠和强大的稳定性指示HPLC方法已成功开发和验证.
- 该方法适用于AZM API和配方的常规质量控制和稳定性监测.
- 已建立的分析程序确保了阿齐尔沙坦甲胺在整个产品生命周期中的一致质量和稳定性.
更多相关视频
10:17High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
Published on: April 23, 2019
9.5K
11:17Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses
Published on: August 30, 2018
12.8K
相关概念视频
Data Validation
127
Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Key parameters for method validation include:
127
Structure-Activity Relationships and Drug Design
460
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
460
