Department of Physics, College of Science, King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia.
Department of Biological Sciences, College of Science, King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia.
Sensors (Basel). 2021 Jul 5;21(13):4617. doi: 10.3390/s21134617.
In this work, we report a new approach for detecting SARS-CoV-2 RBD protein (RBD) using the surface-enhanced Raman spectroscopy (SERS) technique. The optical enhancement was obtained thanks to the preparation of nanostructured Ag/Au substrates. Fabricated Au/Ag nanostructures were used in the SERS experiment for RBD protein detection. SERS substrates show higher capabilities and sensitivity to detect RBD protein in a short time (3 s) and with very low power. We were able to push the detection limit of proteins to a single protein detection level of 1 pM. The latter is equivalent to 1 fM as a detection limit of viruses. Additionally, we have shown that the SERS technique was useful to figure out the presence of RBD protein on antibody functionalized substrates. In this case, the SERS detection was based on protein-antibody recognition, which led to shifts in the Raman peaks and allowed signal discrimination between RBD and other targets such as Bovine serum albumin (BSA) protein. A perfect agreement between a 3D simulated model based on finite element method and experiment was reported confirming the SERS frequency shift potential for trace proteins detection. Our results could open the way to develop a new prototype based on SERS sensitivity and selectivity for rapid detection at a very low concentration of virus and even at a single protein level.
在这项工作中,我们报告了一种使用表面增强拉曼光谱(SERS)技术检测 SARS-CoV-2 RBD 蛋白(RBD)的新方法。通过制备纳米结构的 Ag/Au 基底获得了光学增强。所制备的 Au/Ag 纳米结构用于 RBD 蛋白检测的 SERS 实验。SERS 基底具有更高的能力和灵敏度,可以在短时间(3 秒)内和非常低的功率下检测 RBD 蛋白。我们能够将蛋白质的检测极限推至单个蛋白质检测水平的 1 pM。后者相当于病毒检测极限的 1 fM。此外,我们已经证明 SERS 技术对于确定抗体功能化基底上 RBD 蛋白的存在非常有用。在这种情况下,SERS 检测基于蛋白质-抗体识别,这导致拉曼峰的位移,并允许在 RBD 和其他靶标(如牛血清白蛋白(BSA)蛋白)之间进行信号区分。基于有限元法的 3D 模拟模型与实验之间的完美一致报告证实了 SERS 频率位移的潜力可用于痕量蛋白质的检测。我们的结果可能为基于 SERS 灵敏度和选择性的原型开发开辟道路,用于以非常低的病毒浓度甚至在单个蛋白质水平上进行快速检测。