Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communication Technology, Department of Optoelectronic Engineering, College of Science and Engineering, Jinan University, Guangzhou, 510632, China.
School of Chemistry and Chemical Engineering, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China.
Biosens Bioelectron. 2022 Feb 15;198:113787. doi: 10.1016/j.bios.2021.113787. Epub 2021 Nov 20.
High sensitivity and capturing ratio are strongly demanded for surface plasmon resonance (SPR) sensors when applied in detection of small molecules. Herein, an SPR sensor is combined with a novel smart material, namely, MoS nanoflowers (MNFs), to demonstrate programmable adsorption/desorption of small bipolar molecules, i.e., amino acids. The MNFs overcoated on the plasmonic gold layer increase the sensitivity by 25% compared to an unmodified SPR sensor, because of the electric field enhancement at the gold surface. Furthermore, as the MNFs have rich edge sites and negatively charged surfaces, the MNF-SPR sensors exhibit not only much higher bipolar-molecule adsorption capability, but also efficient desorption of these molecules. It is demonstrated that the MNF-SPR sensors enable controllable detection of amino acids by adjusting solution pH according to their isoelectric points. In addition, the MNFs decorated on the plasmonic interface can be as nanostructure frameworks and modified with antibody, which allows for specific detection of proteins. This novel SPR sensor provides a new simple strategy for pre-screening of amino acid disorders in blood plasma and a universal high-sensitive platform for immunoassay.
当表面等离子体共振 (SPR) 传感器应用于小分子检测时,对其灵敏度和捕获比有很强的要求。在此,我们将 SPR 传感器与一种新型智能材料 MoS 纳米花 (MNFs) 相结合,展示了对小分子双极分子(如氨基酸)的可编程吸附/解吸。与未修饰的 SPR 传感器相比,覆盖在等离子体金层上的 MNFs 增加了 25%的灵敏度,这是由于金表面的电场增强。此外,由于 MNFs 具有丰富的边缘位点和带负电荷的表面,因此 MNF-SPR 传感器不仅表现出更高的双极分子吸附能力,而且还能有效解吸这些分子。实验表明,MNF-SPR 传感器可以通过根据氨基酸的等电点调节溶液 pH 值来实现对氨基酸的可控检测。此外,修饰在等离子体界面上的 MNFs 可以作为纳米结构框架,并与抗体结合,从而可以特异性检测蛋白质。这种新型 SPR 传感器为血浆中氨基酸紊乱的预筛选提供了一种新的简单策略,也为免疫分析提供了一种通用的高灵敏度平台。