SERS detection of analgesics in serum based on Ag nanocubes for perioperative monitoring

IF 6.1 1区化学 Q1 CHEMISTRY, ANALYTICAL Talanta Pub Date : 2025-03-18 DOI:10.1016/j.talanta.2025.127979

Yinghe Ji , Lei Qin , Lin Han , Jing Wu , Yunpeng Wang , Zhuo Zhu , Tingting Sun , Yang Li

引用次数: 0

Abstract

Prompt and personalized perioperative analgesia management relies on sensitive and convenient monitoring of analgesics. We report a strategy for sensitive and reproducible SERS detection of analgesics based on Ag nanocubes, which have abundant intragranular hot spots on sharp corners and interparticle hot spots between gaps. Both theoretical simulations and R6G detection experiments indicated that the enhancement factor of Ag nanocube SERS platform reach to 10⁶ level. Quantitative and reproducible determination capabilities of this platform for six different analgesics with LOD as low as 500 pg mL⁻¹ were verified. Pharmacokinetic experiment of fentanyl in rat serum samples by SERS detection within 4 h presented consistent results with the UHPLC-MS/MS method. Valid examples of SERS detection for single or multiple analgesics in clinical patients’ serums further proved the feasibility of this platform for perioperative analgesic monitoring.

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基于银纳米立方体围手术期监测的血清镇痛药SERS检测。

及时和个性化的围手术期镇痛管理依赖于敏感和方便的镇痛药物监测。我们报道了一种基于银纳米立方体的镇痛药敏感和可重复的SERS检测策略，银纳米立方体具有丰富的颗粒内尖角热点和间隙之间的颗粒间热点。理论模拟和R6G检测实验表明，银纳米立方SERS平台的增强因子达到106级。验证了该平台对6种不同镇痛药LOD低至500 pg mL-1的定量和重复性测定能力。SERS检测芬太尼在大鼠血清样品中4 h内的药动学实验结果与UHPLC-MS/MS方法一致。临床患者血清中单药或多药SERS检测的有效实例进一步证明了该平台用于围手术期镇痛监测的可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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.