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Black phosphorus based fiber optic biosensor for ultrasensitive cancer diagnosis

  • Lin Zhou
  • , Chen Liu
  • , Zhengbo Sun
  • , Hongju Mao
  • , Lin Zhang
  • , Xuefeng Yu
  • , Jianlong Zhao
  • , Xianfeng Chen

Research output: Contribution to journalArticlepeer-review

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Abstract

We propose the first black phosphorus (BP) – fiber optic biosensor for ultrasensitive diagnosis of human neuron-specific enolase (NSE) cancer biomarkers. A novel optical-nano configuration has been exploited by integrating BP nanosheets with a largely tilted fiber grating (BP-TFG), where the BP is bio-functionalized by the poly-L-lysine acting as a critical cross-linker to facilitate bio-nano-photonic interface with extremely enhanced light-matter interaction. BP nanosheets are synthesized by a liquid ultrasonication-based exfoliation and deposited on fiber device by an in-situ layer-by-layer method. The BP-induced optical modulation effects in terms of thickness-tunable feature, polarization-dependence and enhanced light-matter interaction are experimentally investigated. The anti-NSE immobilized BP-TFG biosensor has been implemented to detect NSE biomarkers demonstrating ultrahigh sensitivity with limit of detection down to 1.0 pg/mL, which is 4 orders magnitude lower than NSE cut-off value of small cell lung cancer. The enhanced sensitivity of BP-TFG is 100-fold higher than graphene oxide or AuNPs based biosensors. We believe that BP-fiber optic configuration opens a new bio-nano-photonic platform for the applications in healthcare, biomedical, food safety and environmental monitoring.
Original languageEnglish
Pages (from-to)140-147
Number of pages8
JournalBiosensors and Bioelectronics
Volume137
Early online date25 Apr 2019
DOIs
Publication statusPublished - 15 Jul 2019

Bibliographical note

© 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/


Funding: projects of EU FP7 PIRSES-GA-2013-612267 (iPhoto-Bio) and the Sêr Cymru NRN Fund (NRN097), and the National Natural Science Foundation of China (No.61571429 and 61801464).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Black phosphorus
  • Cancer biomarker
  • Fiber grating
  • Label-free
  • Neuron-specific enolase
  • Optical biosensor

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