Tummala Sambasiva Rao, Amgoth Krishnamanjari Pawar
Andhra University, College of Pharmaceutical Sciences, Department of Pharmaceutical Analysis, Andhra Pradesh, India.
Turk J Pharm Sci. 2022 Aug 31;19(4):455-461. doi: 10.4274/tjps.galenos.2021.17702.
Recently, -nitrosamines were unexpectedly detected in valsartan and other generic sartan products. Taking into this account, we developed a sensitive and stable multiple reaction monitoring mode-based "gas chromatography-tandem mass spectrometry (GC-MS/MS)" approach for the quantification of "four -nitrosamines" in valsartan, especially, -nitrosodiisopropylamine, -nitroso ethyl isopropylamine, -nitrosodiethylamine, and -nitrosodimethylamine.
GC and MS conditions were optimized with specificity, sensitivity, linearity, precision, and accuracy of the parameters. The approach was validated as the "International Council for Harmonization" recommendations.
The identification limits and limits of quantification of -nitrosamines in valsartan varied between 0.02 and 0.03 ppm, and 0.06-0.09 ppm, respectively. The obtained values were satisfactory with limits established by the United States Food and Drug Administration for sensitivity requirements. The regression coefficients greater than 0.999 for four -nitrosamines in the calibration curve demonstrated the strong linearity of the process. The retrievals of "-nitrosamines" in valsartan between 91.9-122.7%. For the intra-day and inter-day accuracy studies, the (relative standard deviation) was less than 9.15%.
The proposed approach has rapid analysis capability, high precision, accuracy, and good sensitivity, which give a reliable approach for -nitrosamines quality control in valsartan.
最近,在缬沙坦及其他沙坦类仿制药产品中意外检测到亚硝胺。考虑到这一点,我们开发了一种基于多反应监测模式的灵敏且稳定的“气相色谱 - 串联质谱法(GC-MS/MS)”,用于定量测定缬沙坦中的“四种亚硝胺”,特别是亚硝基二异丙胺、亚硝基乙基异丙胺、亚硝基二乙胺和亚硝基二甲胺。
对气相色谱和质谱条件进行了优化,考察了特异性、灵敏度、线性、精密度和准确度等参数。该方法按照“国际协调理事会”的建议进行了验证。
缬沙坦中亚硝胺的检出限和定量限分别在0.02至0.03 ppm和0.06 - 0.09 ppm之间。所获得的值符合美国食品药品监督管理局规定的灵敏度要求。校准曲线中四种亚硝胺的回归系数大于0.999,表明该方法具有很强的线性。缬沙坦中亚硝胺的回收率在91.9% - 122.7%之间。对于日内和日间准确度研究,(相对标准偏差)小于9.15%。
所提出的方法具有快速分析能力、高精度、高准确度和良好的灵敏度,为缬沙坦中亚硝胺的质量控制提供了一种可靠的方法。