School of Criminal Investigation, People's Public Security University of China, Beijing 100038, PR China.
School of Criminal Investigation, People's Public Security University of China, Beijing 100038, PR China.
Spectrochim Acta A Mol Biomol Spectrosc. 2022 Dec 15;283:121720. doi: 10.1016/j.saa.2022.121720. Epub 2022 Aug 6.
Rapid and flexible detection or accurate recognition of trace drugs is of great importance in cracking down on drug crimes, but it remains to be expected. Here, a solid chip is presented for the efficient detection and recognition of trace opioids (typically morphine) in aqueous solutions based on surface-enhanced Raman spectroscopy (SERS). Firstly, a Au-coated Si nano-cone array (Au-SNCA) is designed and fabricated via Si-based organic colloidal template etching and Au deposition. This Au-SNCA shows three-dimensional nanostructure with high densities of nanotips and deep nanogaps as well as high structural consistency, which exhibits strong SERS activity to morphine and outstanding stability. Then, such Au-SNCA is used as solid SERS chip to detect morphine in aqueous solutions. It has been demonstrated that using such solid chip, trace morphine in solutions could be recognized and detected within 1 min, and the detection limit is 10 mg/mL (∼10 ppb), showing rapid and sensitive detection, which is much better than the previous reports. Meanwhile, the Au-SNCA chip also can be utilized to detect trace morphine in tap water and reservoir water, the recoveries range from 90.4% to 102.4%. Such excellent SERS performance of this Au-SNCA chip is attributed to its special structure which enhances not only local electromagnetic field but also molecular adsorption. The experimental results about the effects of immersion time and concentration show that the adsorption behavior of morphine molecules on such Au-SNCA chip can be explained by the pseudo-second-order kinetic model and Freundlich adsorption mode. Moreover, the Au-SNCA chip is also suitable for the identification of morphine homologues and the broad-spectrum detection of various common drugs. This study presents a practical solid chip and a simple approach for the efficient SERS detection and recognition of trace drugs in solutions. This is of significance to on-site detect drugs in forensic science.
快速灵活地检测或准确识别痕量毒品对于打击毒品犯罪具有重要意义，但仍有待实现。在这里，我们提出了一种基于表面增强拉曼光谱（SERS）的高效检测和识别痕量阿片类药物（通常为吗啡）的固态芯片。首先，通过基于硅的有机胶体模板刻蚀和 Au 沉积设计并制备了 Au 覆盖的 Si 纳米锥阵列（Au-SNCA）。这种 Au-SNCA 具有三维纳米结构，具有高密度的纳米尖端和深纳米间隙以及高度的结构一致性，对吗啡表现出强烈的 SERS 活性和出色的稳定性。然后，将这种 Au-SNCA 用作固态 SERS 芯片来检测水溶液中的吗啡。已经证明，使用这种固态芯片，在 1 分钟内即可识别和检测溶液中的痕量吗啡，检测限为 10mg/mL（约 10ppb），表现出快速灵敏的检测性能，明显优于以前的报道。同时，Au-SNCA 芯片还可以用于检测自来水中和水库水中的痕量吗啡，回收率范围为 90.4%至 102.4%。这种 Au-SNCA 芯片优异的 SERS 性能归因于其特殊结构，不仅增强了局域电磁场，而且增强了分子吸附。关于浸渍时间和浓度影响的实验结果表明，吗啡分子在这种 Au-SNCA 芯片上的吸附行为可以用伪二阶动力学模型和 Freundlich 吸附模式来解释。此外，Au-SNCA 芯片还适用于吗啡同系物的鉴定和各种常见药物的广谱检测。本研究提出了一种实用的固态芯片和一种简单的方法，用于高效检测和识别溶液中的痕量毒品。这对于法庭科学现场检测毒品具有重要意义。
