A novel green HS/SPME-GC/NPD method for screening and quantification of nitrosamines in solid samples: Application to losartan tablets.

IF 6.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Talanta Pub Date : 2026-01-01 Epub Date: 2025-06-23 DOI:10.1016/j.talanta.2025.128514
Amanda Tavares Germano, Gustavo Amadeu Micke, Luciano Vitali
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引用次数: 0

Abstract

The presence of nitrosamines (NAs) in pharmaceutical products represents a significant risk to patient health and can compromise the quality of products during manufacturing processes. This study proposes a direct analysis method for solid samples of losartan tablets to determine the presence of six NAs using headspace solid-phase microextraction (HS/SPME) coupled with gas chromatography and nitrogen-phosphorus detection (GC/NPD). This method provides a green, low-cost approach for screening and quantification in quality control laboratories. A DVB/Car/PDMS fiber was employed for extraction under optimized conditions, which included the analysis of four tablets, agitation at 250 rpm, an extraction time of 85 min, and a temperature of 45 °C. The performance of the method was evaluated, showing determination coefficients greater than 0.99 through solid-spiking matrix-matched calibration, with detection limits ranging from 0.0001 to 0.0157 mg kg-1, recovery rates between 79.7 % and 122.0 %, and precision values below 18.7 %. The validation parameters demonstrated excellent selectivity and sensitivity, confirming the efficacy of the method in identifying and quantifying mutagenic compounds in compliance with pharmaceutical regulatory guidelines. Among the thirteen tablets analyzed, two contained NDEA at levels exceeding regulatory limits, highlighting the effectiveness of the method. The environmental sustainability of the method was assessed using the Analytical GREEnness (AGREE) calculator, which confirmed its alignment with Green Chemistry principles. Moreover, this approach is applicable to other solid samples, including pure active pharmaceutical ingredients and finished pharmaceutical products.

固体样品中亚硝胺的绿色HS/SPME-GC/NPD筛选定量方法:在氯沙坦片中的应用
药品中亚硝胺(NAs)的存在对患者健康构成重大风险,并可能在制造过程中损害产品质量。本研究采用顶空固相微萃取(HS/SPME) -气相色谱-氮磷检测(GC/NPD)技术对氯沙坦片剂固体样品中6种NAs的存在进行直接分析。该方法为质量控制实验室的筛选和定量提供了一种绿色、低成本的方法。采用DVB/Car/PDMS纤维进行提取,优化条件为:分析4片,搅拌转速250 rpm,提取时间85 min,提取温度45℃。结果表明,该方法的测定系数大于0.99,检出限为0.0001 ~ 0.0157 mg kg-1,回收率为79.7% ~ 122.0%,精密度小于18.7%。验证参数具有良好的选择性和敏感性,证实了该方法在识别和定量致突变化合物方面的有效性,符合药品监管指南。在分析的13片中,有2片的NDEA含量超过了法规限制,突出了该方法的有效性。使用分析绿色(AGREE)计算器评估了该方法的环境可持续性,该计算器确认了其与绿色化学原则的一致性。此外,该方法也适用于其他固体样品,包括纯活性药物成分和药品成品。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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