Zhang Michael, Jin Congran, Nie Yuan, Ren Yundong, Hao Nanjing, Xu Zhe, Dong Lin, Zhang John X J
Thayer School of Engineering at Dartmouth College Hanover NH USA
Mechanical and Industrial Engineering, New Jersey Institute of Technology Newark NJ USA.
RSC Adv. 2021 Mar 17;11(19):11329-11337. doi: 10.1039/d1ra00760b. eCollection 2021 Mar 16.
Opioid abuse is a significant public health problem. Over two million Americans have some form of addiction to opioids; however, despite governmental programs established to treat overdoses and restrict opioid distribution, there are still few screening tools that are quantitative, portable and easy to use for high-throughput mapping and monitoring this ongoing crisis. In this paper, we demonstrated a plasmonic zinc oxide (ZnO) arrays-on-silicon sensor for the label-free detection of opioids through surface-enhanced Raman spectroscopy (SERS), and evaluated the chips' opioid sensing performance. Specifically, we tested our device with oxycodone, a potent and commonly abused opioid, dissolved in methanol and blood serum as a proof-of-concept study. Ag particles were patterned onto the ZnO array to form the completed sensing platform. The resulting Ag@ZnO arrays were characterized using Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Analysis (EDS), and element mapping. In addition, the enhanced electric field induced by the localized surface plasmonic resonance at the Ag particle decorated ZnO is simulated using COMSOL. Opioid-containing samples at varying concentrations, from 900 μg mL to 90 ng mL were tested using SERS to characterize the chip's accuracy and sensitivity. We demonstrated that the sensor can reliably detect opioid concentrations as low as 90 ng mL with great accuracy and sensitivity even spiked into blood serum. The chips could provide a cost-effective, high-throughput method for detecting opiate oxycodone, thereby providing a powerful tool to monitor and control the emerging public health threats.
阿片类药物滥用是一个重大的公共卫生问题。超过两百万美国人对阿片类药物存在某种形式的成瘾问题;然而,尽管政府制定了治疗过量用药和限制阿片类药物分发的计划,但用于高通量测绘和监测这一持续危机的定量、便携且易于使用的筛查工具仍然很少。在本文中,我们展示了一种基于硅的等离子体氧化锌(ZnO)阵列传感器,用于通过表面增强拉曼光谱(SERS)对阿片类药物进行无标记检测,并评估了芯片的阿片类药物传感性能。具体而言,作为概念验证研究,我们用溶解在甲醇和血清中的强效且常用的阿片类药物羟考酮对我们的设备进行了测试。将银颗粒图案化到ZnO阵列上以形成完整的传感平台。使用扫描电子显微镜(SEM)、能量色散X射线分析(EDS)和元素映射对所得的Ag@ZnO阵列进行了表征。此外,使用COMSOL模拟了在装饰有银颗粒的ZnO处由局部表面等离子体共振诱导的增强电场。使用SERS对浓度从900μg/mL到90ng/mL的不同浓度含阿片类药物样品进行测试,以表征芯片的准确性和灵敏度。我们证明,即使将传感器添加到血清中,它也能以极高的准确性和灵敏度可靠地检测低至90ng/mL的阿片类药物浓度。这些芯片可为检测阿片类药物羟考酮提供一种经济高效的高通量方法,从而为监测和控制新出现的公共卫生威胁提供有力工具。