{"title":"应用设计法分析质量的梯度洗脱高效液相色谱法系统地分析体乐素及其结构相关物质","authors":"Siva Ganesh Bommi, Subbalakshmi Jayanty, Suresh Kola, Venkata Siva Rama Krishna Reddy Kallam","doi":"10.1007/s10337-024-04378-0","DOIUrl":null,"url":null,"abstract":"<div><p>Sickle cell disease is a genetic disorder treated with Voxelotor (Vox), the first hemoglobin oxygen-affinity regulator. Although Vox recently received expedited approval in the United States for the sickle cell disease therapy for certain age groups, no monograph is yet available in the official compendia for Vox. Therefore, current study aims to develop a stability-indicating HPLC method for determining five potential impurities in Vox drug substance. The procedure was developed by implementing principles of analytical quality by design (AQbD). A detailed risk evaluation was conducted in accordance with the cause-and-effect relationship. A factorial design was employed to identify the impact of the critical method parameters (CMPs) and their relationship to critical quality attributes (CQAs). The full factorial design was utilized and final method was optimized. The <i>p</i>-values of the model and lack of fit were < 0.0001 and > 0.05, respectively, indicating the best-fit statistical model for the studied responses. The CMPs, such as gradient slope (ratio of mobile phase-B % and gradient time), flow rate of 1.0 mL min<sup>−1</sup>, and column oven temperature of 40 °C, were optimized from the full factorial design. The best possible separation among all impurities and Vox was achieved with gradient elution using X-Bridge C<sub>18</sub>, 150 mm × 4.6 mm, 3.5 µm analytical column. The optimized gradient is time (min)/%B: 0.0/15, 3.0/15, 20.0/80, 30/80, 31/15, 35/15. The peak pairs where the separation was highly critical were: impurity-4/impurity-5 and impurity-5/Vox. Method validation, revealed that the mean recovery of the impurities ranged between 100 and 106%, the correlation coefficient (<i>r</i>) > 0.99, across the span for LOQ–150% levels, RSD values (<i>n</i> = 6) ranged between 1.2 and 4.6% for 100% level (i.e., 0.1% of impurities). The peaks from the specificity analysis did not intervene with the known and active analyte (Vox) peak and this study identified impurity-2 as a major degradation product.</p></div>","PeriodicalId":518,"journal":{"name":"Chromatographia","volume":"88 1","pages":"19 - 31"},"PeriodicalIF":1.3000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Systematic Development of a Gradient Elution HPLC Method for the Analysis of Voxelotor and Its Structurally Related Substances Applying Analytical Quality by Design Approach\",\"authors\":\"Siva Ganesh Bommi, Subbalakshmi Jayanty, Suresh Kola, Venkata Siva Rama Krishna Reddy Kallam\",\"doi\":\"10.1007/s10337-024-04378-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Sickle cell disease is a genetic disorder treated with Voxelotor (Vox), the first hemoglobin oxygen-affinity regulator. Although Vox recently received expedited approval in the United States for the sickle cell disease therapy for certain age groups, no monograph is yet available in the official compendia for Vox. Therefore, current study aims to develop a stability-indicating HPLC method for determining five potential impurities in Vox drug substance. The procedure was developed by implementing principles of analytical quality by design (AQbD). A detailed risk evaluation was conducted in accordance with the cause-and-effect relationship. A factorial design was employed to identify the impact of the critical method parameters (CMPs) and their relationship to critical quality attributes (CQAs). The full factorial design was utilized and final method was optimized. The <i>p</i>-values of the model and lack of fit were < 0.0001 and > 0.05, respectively, indicating the best-fit statistical model for the studied responses. The CMPs, such as gradient slope (ratio of mobile phase-B % and gradient time), flow rate of 1.0 mL min<sup>−1</sup>, and column oven temperature of 40 °C, were optimized from the full factorial design. The best possible separation among all impurities and Vox was achieved with gradient elution using X-Bridge C<sub>18</sub>, 150 mm × 4.6 mm, 3.5 µm analytical column. The optimized gradient is time (min)/%B: 0.0/15, 3.0/15, 20.0/80, 30/80, 31/15, 35/15. The peak pairs where the separation was highly critical were: impurity-4/impurity-5 and impurity-5/Vox. Method validation, revealed that the mean recovery of the impurities ranged between 100 and 106%, the correlation coefficient (<i>r</i>) > 0.99, across the span for LOQ–150% levels, RSD values (<i>n</i> = 6) ranged between 1.2 and 4.6% for 100% level (i.e., 0.1% of impurities). The peaks from the specificity analysis did not intervene with the known and active analyte (Vox) peak and this study identified impurity-2 as a major degradation product.</p></div>\",\"PeriodicalId\":518,\"journal\":{\"name\":\"Chromatographia\",\"volume\":\"88 1\",\"pages\":\"19 - 31\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chromatographia\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10337-024-04378-0\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chromatographia","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s10337-024-04378-0","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
摘要
镰状细胞病是一种遗传性疾病,用第一种血红蛋白氧亲和调节剂Voxelotor (Vox)治疗。虽然Vox最近在美国获得了用于某些年龄组镰状细胞病治疗的加速批准,但在Vox的官方概要中还没有专著。因此,本研究旨在建立一种稳定性指示的高效液相色谱法测定Vox原料药中5种潜在杂质。本方法依据分析质量设计原则(AQbD)制定。根据因果关系进行了详细的风险评估。采用因子设计来确定关键方法参数(cmp)的影响及其与关键质量属性(cqa)的关系。采用全因子设计对最终方法进行了优化。模型的p值为<; 0.0001,缺乏拟合的p值为>; 0.05,表明该模型是研究响应的最佳拟合统计模型。在全因子设计中,优化了梯度斜率(流动相b %与梯度时间的比值)、流速1.0 mL min - 1、柱箱温度40°C。采用X-Bridge C18, 150 mm × 4.6 mm, 3.5µm分析柱进行梯度洗脱,实现了所有杂质和Vox的最佳分离。优化后的梯度为time (min)/%B: 0.0/15、3.0/15、20.0/80、30/80、31/15、35/15。分离高度关键的峰对为:杂质-4/杂质-5和杂质-5/Vox。方法验证表明,杂质的平均回收率在100 ~ 106%之间,相关系数(r) > 0.99,在LOQ-150%的水平上,RSD值(n = 6)在1.2 ~ 4.6%之间,在100%的水平上(即杂质含量为0.1%)。特异性分析的峰不影响已知的活性分析物(Vox)峰,本研究确定杂质-2是主要的降解产物。
Systematic Development of a Gradient Elution HPLC Method for the Analysis of Voxelotor and Its Structurally Related Substances Applying Analytical Quality by Design Approach
Sickle cell disease is a genetic disorder treated with Voxelotor (Vox), the first hemoglobin oxygen-affinity regulator. Although Vox recently received expedited approval in the United States for the sickle cell disease therapy for certain age groups, no monograph is yet available in the official compendia for Vox. Therefore, current study aims to develop a stability-indicating HPLC method for determining five potential impurities in Vox drug substance. The procedure was developed by implementing principles of analytical quality by design (AQbD). A detailed risk evaluation was conducted in accordance with the cause-and-effect relationship. A factorial design was employed to identify the impact of the critical method parameters (CMPs) and their relationship to critical quality attributes (CQAs). The full factorial design was utilized and final method was optimized. The p-values of the model and lack of fit were < 0.0001 and > 0.05, respectively, indicating the best-fit statistical model for the studied responses. The CMPs, such as gradient slope (ratio of mobile phase-B % and gradient time), flow rate of 1.0 mL min−1, and column oven temperature of 40 °C, were optimized from the full factorial design. The best possible separation among all impurities and Vox was achieved with gradient elution using X-Bridge C18, 150 mm × 4.6 mm, 3.5 µm analytical column. The optimized gradient is time (min)/%B: 0.0/15, 3.0/15, 20.0/80, 30/80, 31/15, 35/15. The peak pairs where the separation was highly critical were: impurity-4/impurity-5 and impurity-5/Vox. Method validation, revealed that the mean recovery of the impurities ranged between 100 and 106%, the correlation coefficient (r) > 0.99, across the span for LOQ–150% levels, RSD values (n = 6) ranged between 1.2 and 4.6% for 100% level (i.e., 0.1% of impurities). The peaks from the specificity analysis did not intervene with the known and active analyte (Vox) peak and this study identified impurity-2 as a major degradation product.
期刊介绍:
Separation sciences, in all their various forms such as chromatography, field-flow fractionation, and electrophoresis, provide some of the most powerful techniques in analytical chemistry and are applied within a number of important application areas, including archaeology, biotechnology, clinical, environmental, food, medical, petroleum, pharmaceutical, polymer and biopolymer research. Beyond serving analytical purposes, separation techniques are also used for preparative and process-scale applications. The scope and power of separation sciences is significantly extended by combination with spectroscopic detection methods (e.g., laser-based approaches, nuclear-magnetic resonance, Raman, chemiluminescence) and particularly, mass spectrometry, to create hyphenated techniques. In addition to exciting new developments in chromatography, such as ultra high-pressure systems, multidimensional separations, and high-temperature approaches, there have also been great advances in hybrid methods combining chromatography and electro-based separations, especially on the micro- and nanoscale. Integrated biological procedures (e.g., enzymatic, immunological, receptor-based assays) can also be part of the overall analytical process.