绿色可持续LC-APCI-MS/MS同时定量抗糖尿病药物西格列汀中遗传毒性亚硝胺的方法

IF 4.3 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Sriram Pepakayala, Venkata Nadh Ratnakaram, Yuvaraj Zunjarrao, Yogesh Kumar Lohia
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引用次数: 0

摘要

国际癌症研究机构将亚硝胺归类为潜在或可能的人类致癌物。因此,应控制亚硝胺杂质,以尽量减少癌症的风险。可持续发展目标9 (SDG9:工业、创新和基础设施),目标9.4通过开发一种简单直接的LC-APCI-MS/MS同时测定潜在亚硝胺的方法实现:2型糖尿病降糖药物西格列汀磷酸一水原料药(STG-API)中的n -亚硝基二甲胺、n -亚硝基二异丙基胺、n -亚硝基异丙基乙胺和n -亚硝基甲基氨基吡啶(NDMA、NDIPA、NIPEA和NMAP),符合ICH (Q2 R2)指南。作为SDG9(工业、创新和基础设施)目标9.4的一部分,鉴于(a)溶剂消耗较少(运行时间较短,为18分钟)(b)在线样品采集(c)简单样品制备(d)样品制备过程不需要衍生化或样品提取,因此使用当前的分析方法可以更多地采用清洁和环保技术。优化的色谱条件为:Agilent Poroshell EC C18色谱柱,流速为0.6 mL/min,进样量为40µL,柱箱温度为50℃,样品冷却器温度为6℃。采用梯度法,采用混合流动相(溶剂A: 0.1%甲酸水溶液和溶剂B: 50%甲醇和50%乙腈混合物)。在APCI模式下采用多反应监测(MRM)获得反应。该方法可将NDMA、NIPEA、NDIPA和NMAP分别定量至74.19 ng/g、19.62 ng/g、20.36 ng/g和13.65 ng/g的较低水平,均小于规定限值的10%。在定量限~ 150%范围内呈良好的线性关系,相关系数均大于0.996。加样回收率在90.23 ~ 103.36%之间。通过修正绿色分析程序指数(MoGAPI)、ComplexMoGAPI、分析绿色度(AGREE)和分析生态尺度等绿色工具评估该方法的生态友好性,发现该方法是生态友好的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Green and sustainable LC-APCI-MS/MS method for simultaneous quantification of genotoxic nitrosamines in antidiabetic medication: sitagliptin

The International Agency for Research on Cancer categorized nitrosamines as potential or probable human carcinogens. Hence, nitrosamine impurities should be controlled to minimize the cancer risk. Sustainable Development Goal 9 (SDG9: Industry, Innovation, and Infrastructure), Target 9.4 was realized by developing a simple and straightforward LC-APCI-MS/MS method for simultaneous determination of potential nitrosamines: N-nitroso dimethylamine, N-nitroso di isopropyl amine, N-nitroso isopropyl ethylamine and N-nitroso methyl aminopyridine (NDMA, NDIPA, NIPEA and NMAP) in Sitagliptin Phosphate Monohydrate API (STG-API), an antidiabetic medication for type-2 diabetes and validated as per ICH (Q2 R2) guidelines. As a part of SDG9 (Industry, Innovation, and Infrastructure), Target 9.4, greater adoption of clean and environmentally sound technologies is possible by using the current analytical method in view of (a) less consumption of solvents as it has a lower run time of 18 min (b) at-line sample collection (c) simple sample preparation (d) sample preparation process that does not require derivatization or sample extraction. The optimized LC method conditions are an Agilent Poroshell EC C18 column, a flow rate of 0.6 mL/min, an injection volume of 40 µL, a column oven temperature set at 50 °C, and a sample cooler temperature set at 6 °C. A gradient method was adopted using a mixture of mobile phases (Solvent A: 0.1% formic acid in water and Solvent B: a mixture of 50% Methanol and 50% Acetonitrile). The response was obtained with Multiple Reaction Monitoring (MRM) in APCI mode. The current method can quantify NDMA, NIPEA, NDIPA, and NMAP to a lower level of 74.19 ng/g, 19.62 ng/g, 20.36 ng/g, and 13.65 ng/g, respectively, which is less than 10% of the specified limits. Good linearity in the range of Limit of Quantitation (LOQ) to 150% of the specification limit was observed, with correlation coefficients higher than 0.996. The recoveries were over the range between 90.23 and 103.36%. Assessed the method’s eco-friendliness by greenness tools like the Modified Green Analytical Procedure Index (MoGAPI), ComplexMoGAPI, Analytical GREEnness (AGREE), and Analytical Eco-Scale, and found it to be eco-friendly.

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来源期刊
BMC Chemistry
BMC Chemistry Chemistry-General Chemistry
CiteScore
5.30
自引率
2.20%
发文量
92
审稿时长
27 weeks
期刊介绍: BMC Chemistry, formerly known as Chemistry Central Journal, is now part of the BMC series journals family. Chemistry Central Journal has served the chemistry community as a trusted open access resource for more than 10 years – and we are delighted to announce the next step on its journey. In January 2019 the journal has been renamed BMC Chemistry and now strengthens the BMC series footprint in the physical sciences by publishing quality articles and by pushing the boundaries of open chemistry.
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