• Laser & Optoelectronics Progress
  • Vol. 57, Issue 9, 091601 (2020)
Caiyan Lu1, Yongping Li1, Yufeng Yuan2、**, and Junxian Liu1、*
Author Affiliations
  • 1College of Physical Science and Technology, Guangxi Normal University, Guilin, Guangxi 541004, China
  • 2College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong 518061, China
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    DOI: 10.3788/LOP57.091601 Cite this Article Set citation alerts
    Caiyan Lu, Yongping Li, Yufeng Yuan, Junxian Liu. Ultrasensitive Biochemical Detection by Employing Two-Dimensional Ti3C2Tx MXene Nanosheets[J]. Laser & Optoelectronics Progress, 2020, 57(9): 091601 Copy Citation Text show less

    Abstract

    This study proposes a graphene monolayer/few layered Ti3C2Tx MXene/silver film as a new plasmonic hybrid nanostructure. The feasibility of two-dimensional Ti3C2Tx MXene in the ultrasensitive detection of surface plasmon resonance (SPR) was confirmed using the transfer matrix method. Calculation results show that both the photon absorption and energy loss are balanced by optimizing the thickness of Ti3C2Tx MXene and the silver film. In addition, under an excitation wavelength of 632.8 nm, the optimal sensing configuration is monolayer graphene/3-layered Ti3C2Tx MXene/35-nm silver film, which can produce an ultralow (approaching zero) SPR reflectivity (3.48×10 -9). For a minute variation in the refractive index (as small as 0.0012 RIU), the proposed configuration can produce a differential phase response up to 110.55°and provide a phase detection sensitivity as high as 9.21×10 4 (°)/RIU. In comparison with the conventional sensing configuration with angular modulation, the proposed configuration can provide an enhancement factor that is four orders of magnitude higher. Therefore, our proposed configuration has potential application in ultrasensitive biochemical detection.
    Caiyan Lu, Yongping Li, Yufeng Yuan, Junxian Liu. Ultrasensitive Biochemical Detection by Employing Two-Dimensional Ti3C2Tx MXene Nanosheets[J]. Laser & Optoelectronics Progress, 2020, 57(9): 091601
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