Pereira Dos Santos Natalia Gabrielly, Medina Deyber Arley Vargas, Lanças Fernando Mauro
University of São Paulo, São Carlos Institute of Chemistry, São Carlos, SP, Brazil.
Anal Bioanal Chem. 2025 Mar;417(7):1283-1292. doi: 10.1007/s00216-024-05476-6. Epub 2024 Aug 10.
Water, renowned for its sustainability and minimal toxicity, is an ideal candidate for environmentally friendly solvent-based microextraction. However, its potential as an extractant solvent in miniaturized sample preparation remains largely unexplored. This paper pioneers using water as the extraction solvent in headspace single-drop microextraction (HS-SDME) for N-nitrosamines from losartan tablets. Autonomous HS-SDME is executed by an Arduino-controlled, lab-made Cartesian robot, using water for the online preconcentration of enriched extracts through direct injection into a column-switching system. Critical experimental parameters influencing HS-SDME performance are systematically explored through univariate and multivariate experiments. While most previously reported methods for determining N-nitrosamines in pharmaceutical formulations rely on highly selective mass spectrometry detection techniques to handle the strong matrix effects typical of pharmaceutical samples, the water-based HS-SDME method efficiently eliminates the interfering effects of a large amount of the pharmaceutical active ingredient and tablet excipients, allowing straightforward analysis using high-performance liquid chromatography with ultraviolet detection (HPLC-UV-Vis). Under optimized conditions, the developed method exhibits linear responses from 100 to 2400 ng g, demonstrating appropriate detectability, precision, and accuracy for the proposed application. Additionally, the environmental sustainability of the method is assessed using the AGREEprep methodology, positioning it as an outstanding green alternative for determining hazardous contaminants in pharmaceutical products.
水以其可持续性和低毒性而闻名,是基于溶剂的环境友好型微萃取的理想选择。然而,其作为小型化样品制备中萃取溶剂的潜力在很大程度上仍未得到探索。本文率先在顶空单滴微萃取(HS-SDME)中使用水作为萃取溶剂,用于分析氯沙坦片中的N-亚硝胺。自主HS-SDME由一个由Arduino控制的自制笛卡尔机器人执行,通过将水直接注入柱切换系统,对富集提取物进行在线预浓缩。通过单变量和多变量实验系统地探索了影响HS-SDME性能的关键实验参数。虽然之前报道的大多数测定药物制剂中N-亚硝胺的方法都依赖于高选择性质谱检测技术来处理药物样品典型的强基质效应,但基于水的HS-SDME方法有效地消除了大量药物活性成分和片剂辅料的干扰效应,允许使用高效液相色谱-紫外检测(HPLC-UV-Vis)进行直接分析。在优化条件下,所开发的方法在100至2400 ng g范围内呈现线性响应,对所提出的应用显示出适当的可检测性、精密度和准确度。此外,使用AGREEprep方法评估了该方法的环境可持续性,将其定位为测定药品中有害污染物的优秀绿色替代方法。