11.3 A Capacitive Biosensor for Cancer Diagnosis Using a Functionalized Microneedle and a 13.7b-Resolution Capacitance-to-Digital Converter from 1 to 100nF

Seungwoo Song, Jukwan Na, Moonhyung Jang, Hyeyeon Lee, Hyesoo Lee, Yongbeom Lim, Heonjin Choi, Youngcheol Chae

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

A malignant tumor consists of rapidly growing cancer cells, and requires a dedicated blood supply to provide oxygen and nutrients. Therefore, vascular endothelial growth factor (VEGF), a signal protein produced by cells stimulating angiogenesis, is considered as a key biomarker in clinical diagnosis of cancers [1], [2]. There are already existing methods for the VEGF detection requiring advanced instruments and complex protocols [2]. Recently, significant progress has been achieved in biosensors for the detection and quantification of VEGF using synthetic receptors [2]. In particular, a capacitive biosensor detects the change of dielectric properties when the receptor binds to VEGF, and capacitance change can be used to quantify the reactions. However, the sensitivity of the capacitive biosensors still needs to be improved for use in cancer diagnosis.

Original languageEnglish
Title of host publication2019 IEEE International Solid-State Circuits Conference, ISSCC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages194-196
Number of pages3
ISBN (Electronic)9781538685310
DOIs
Publication statusPublished - 2019 Mar 6
Event2019 IEEE International Solid-State Circuits Conference, ISSCC 2019 - San Francisco, United States
Duration: 2019 Feb 172019 Feb 21

Publication series

NameDigest of Technical Papers - IEEE International Solid-State Circuits Conference
Volume2019-February
ISSN (Print)0193-6530

Conference

Conference2019 IEEE International Solid-State Circuits Conference, ISSCC 2019
Country/TerritoryUnited States
CitySan Francisco
Period19/2/1719/2/21

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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