Nanoplasmonic Biosensor for Cytokine Profiling in Patient Plasma

Lip Ket Chin, Hyungsoon Im, Sung Gyu Park, Benjamin Chousterman

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Molecular analysis has been widely used for disease diagnosis and treatment efficacy analysis. Plasmonic biosensors are popular for molecular analysis because of their rapid detection and high sensitivity. This paper presents a nanoplasmonic biosensor combined with a chemifluorescence approach for multiplex molecular profiling in plasma samples. The nanoplasmonic biosensor significantly improves the detection sensitivity with the fluorescence signal being enhanced by ~300-fold. In the measurement of multiple cytokines' expression levels in patient plasma, the experimental results show that the nanoplasmonic biosensor achieves a limit of detection as low as 0.5 pg/mL. The assay time is as fast as 1 hour. We envisage that the developed nanoplasmonic biosensor has broad applications in disease diagnosis, including inflammation, cancer, or even infectious diseases.

Original languageEnglish
Title of host publication2023 22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages140-143
Number of pages4
ISBN (Electronic)9784886864352
Publication statusPublished - 2023
Event22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023 - Kyoto, Japan
Duration: 25 Jun 202329 Jun 2023

Publication series

Name2023 22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023

Conference

Conference22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023
Country/TerritoryJapan
CityKyoto
Period25/06/2329/06/23

Keywords

  • biosensors
  • cytokine
  • molecular profiling
  • Nanoplasmonics

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation

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