Department of Dermatology, University of Rochester Medical Center, 601 Elmwood Avenue, Box 697, Rochester, New York 14642, USA.
Anal Chem. 2010 Jan 15;82(2):714-22. doi: 10.1021/ac902453h.
Currently, there is need for laboratory-based high-throughput and reliable point-of-care drug screening methodologies. We demonstrate here a chip-based label-free porous silicon (PSi) photonic sensor for detecting opiates in urine. This technique provides a cost-effective alternative to conventional labeled drug screening immunoassays with potential for translation to multiplexed analysis. Important effects of surface chemistry and competitive binding assay protocol on the sensitivity of opiate detection are revealed. Capability to tune sensitivity and detection range over approximately 3 orders of magnitude (18.0 nM to 10.8 muM) was achieved by varying the applied urine specimen volume (100-5 muL), which results in systematic shifts in the competitive binding response curve. A detection range (0.36-4.02 muM) of morphine in urine (15 muL) was designed to span the current positive cutoff value (1.05 muM morphine) in medical opiate urine screening. Desirable high cross-reactivity to oxycodone, in addition to other common opiates, morphine, morphine-3-glucuronide, 6-acetyl morphine, demonstrates an advantage over current commercial screening assays, while low interference with cocaine metabolite was maintained. This study uniquely displays PSi sensor technology as an inexpensive, rapid, and reliable drug screening technology. Furthermore, the versatile surface chemistry developed can be implemented on a range of solid-supported sensors to conduct competitive inhibition assays.
目前,需要基于实验室的高通量和可靠的即时药物筛选方法。我们在这里展示了一种基于芯片的无标记多孔硅(PSi)光子传感器,用于检测尿液中的阿片类药物。该技术为传统的标记药物筛选免疫分析提供了一种具有成本效益的替代方法,具有向多路复用分析转化的潜力。揭示了表面化学和竞争结合分析协议对阿片类药物检测灵敏度的重要影响。通过改变施加的尿液标本体积(100-5 μL),可以在大约 3 个数量级(18.0 nM 至 10.8 μM)范围内调节灵敏度和检测范围,这导致竞争结合响应曲线发生系统偏移。设计了在尿液(15 μL)中检测吗啡的检测范围(0.36-4.02 μM),以跨越当前医学阿片类药物尿液筛选中的阳性截止值(1.05 μM 吗啡)。与当前商业筛选测定法相比,对羟考酮以及其他常见阿片类药物、吗啡、吗啡-3-葡糖苷酸、6-乙酰吗啡的高交叉反应性是一个优势,同时保持了对可卡因代谢物的低干扰。该研究独特地展示了 PSi 传感器技术作为一种廉价、快速和可靠的药物筛选技术。此外,开发的多功能表面化学可以在一系列固体支撑传感器上实施竞争性抑制测定。