当前位置: X-MOL 学术ACS Photonics › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Hybrid Metasurface-Based Mid-Infrared Biosensor for Simultaneous Quantification and Identification of Monolayer Protein
ACS Photonics ( IF 6.5 ) Pub Date : 2019-01-23 00:00:00 , DOI: 10.1021/acsphotonics.8b01470
Zhaoyi Li 1, 2 , Yibo Zhu 3, 4 , Yufeng Hao 3 , Ming Gao , Ming Lu 5 , Aaron Stein 5 , Ah-Hyung Alissa Park 6 , James C. Hone 3 , Qiao Lin 3 , Nanfang Yu 1
Affiliation  

Metasurfaces emerge as a promising photonic platform for biosensing because they offer strong optical confinement and tunable optical resonances. Here, we show that metasurface-based biosensors consisting of gold nanoantenna arrays loaded with graphene and working in the mid-infrared (mid-IR) spectral range can achieve simultaneous high-sensitivity and high-specificity detection of biomolecules. Strong light–molecule interactions in deeply subwavelength optical spots created by the biosensors allow us to determine the concentration of protein molecules via spectral shifts of the metasurface resonance. A combination of passive and active tuning of the metasurface sensors allows us to spectrally overlap the metasurface resonance and the protein vibrational modes, so that protein molecules can be identified via their characteristic mid-IR “fingerprints”. The high sensitivity and specificity of the metasurface sensors enable us to determine the secondary structure of protein immunoglobulin (IgG) molecules 4 orders of magnitude more sensitive than attenuated total reflection Fourier transform infrared spectroscopy.

中文翻译:

基于混合超表面的中红外生物传感器同时定量和鉴定单层蛋白

由于超表面能提供强大的光学限制和可调谐的光学共振,因此它们已成为有前途的生物传感光子平台。在这里,我们显示了基于超表面的生物传感器,该传感器由载有石墨烯的金纳米天线阵列组成,并在中红外(mid-IR)光谱范围内工作,可以同时实现生物分子的高灵敏度和高特异性检测。生物传感器在深亚波长光斑中产生的强烈的光分子相互作用,使我们能够通过超表面共振的光谱移动来确定蛋白质分子的浓度。超颖表面传感器的被动和主动调整相结合,使我们能够在光谱上重叠超颖表面的共振和蛋白质的振动模式,这样就可以通过其特征性的中红外“指纹”来识别蛋白质分子。超表面传感器的高灵敏度和特异性使我们能够确定蛋白质免疫球蛋白(IgG)分子的二级结构,其灵敏度比衰减全反射傅里叶变换红外光谱法高4个数量级。
更新日期:2019-01-23
down
wechat
bug