Plasmonic Nano-antennas Enhanced Near-infrared Non-invasive Glucose Detection

Chaojian Hou, Kun Wang, Wenqi Zhang, Shuideng Wang, Lixi Dong*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

1 Citation (Scopus)

Abstract

Non-invasive blood glucose monitoring based on optical sensors had become strong aspirations of the diabetics, resulting from no-painful signal sampling. However, noise signals in optical sensors coming from complex environmental leading to lack sensitivity and selectivity. Here, a simple device architecture with 15nm-gap plasmonic dimer arrays was proposed to achieve the selective enhancement for glucose detection. The results showed that the linear relationships between photocurrent and glucose concentrations at the wavelength of 880 nm can be obtained in the devices with 180 nm dimer arrays. Simulation and fabrication of reasonable plasmonic antennas on flexible substrate under bending angle status strongly support the huge potentials for the integration of plasmonic structures into wearable blood glucose devices.
Original languageEnglish
Title of host publication2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (IEEE 3M-NANO 2022)
Subtitle of host publicationConference Proceedings
EditorsZhidong Wang, Li Lei, Fan Yang
PublisherIEEE
Pages482-486
ISBN (Electronic)978-1-6654-7543-3
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2022 - Tianjin, China
Duration: 8 Aug 202212 Aug 2022

Publication series

NameIEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO - Proceedings

Conference

Conference2022 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2022
PlaceChina
CityTianjin
Period8/08/2212/08/22

Funding

This work was partially supported by the National Key Research and Development Program of China (grant no. 2018YFB1304902), the National Natural Science Foundation of China (grant nos. U1813211 and YQ62127810), and the General Research Fund of Hong Kong (Project nos. 11213720, 11219419, and 11217221).

Research Keywords

  • glucose detection
  • near-infrared
  • non-invasive
  • plasmonic nano-antennas

RGC Funding Information

  • RGC-funded

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