SNU CBE

Defect-engineered graphene chemical sensors with ultrahigh sensitivity

2015 · Physical Chemistry Chemical Physics

저자

Geonyeop Lee, Gwangseok Yang, Ara Cho, Jeong Woo Han, 김지현 (Jihyun Kim)

연구주제

Gas Sensing Nanomaterials and Sensors · Graphene research and applications · Electrochemical sensors and biosensors

NTIS 과학기술표준분류

가장 가까운 분류(전기/전자 > 반도체 소자·회로 > Sensor용 소자)가 화학·화공 범위 밖이다. 배정 근거: AI 키워드가 잡은 NTIS 과제의 분류.

AI 연구 키워드·방법

ammonia gas sensor graphene gas sensor 이산화질소 가스센서 vacancy defect

밀도범함수 이론(DFT)

키워드 (OpenAlex)

graphene gas sensors NO2 gas sensing NH3 sensing reactive ion etching vacancy defects defect density gas sensing mechanism DFT calculations

초록

We report defect-engineered graphene chemical sensors with ultrahigh sensitivity (e.g., 33% improvement in NO2 sensing and 614% improvement in NH3 sensing). A conventional reactive ion etching system was used to introduce the defects in a controlled manner. The sensitivity of graphene-based chemical sensors increased with increasing defect density until the vacancy-dominant region was reached. In addition, the mechanism of gas sensing was systematically investigated via experiments and density functional theory calculations, which indicated that the vacancy defect is a major contributing factor to the enhanced sensitivity. This study revealed that defect engineering in graphene has significant potential for fabricating ultra-sensitive graphene chemical sensors.

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NTIS 성과DB(2020–24)에서 DOI 매칭 없음

인접 그래프

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교수 1

김지현

연구주제 1

Gas Sensing Nanomaterials and Sensors

키워드 1

이산화질소 가스센서

방법 1

밀도범함수 이론(DFT)