메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
신기승 (전북대학교 전자정보재료공학과) 김동석 (전북대학교 전자정보재료공학과) Tuong Van Tran (전북대학교) 오근재 (전북대학교) 홍석용 (ALLIX Inc.) 송호근 (Ogam Technology Co.) 유연태 (전북대학교)
저널정보
한국센서학회 센서학회지 센서학회지 제33권 제5호
발행연도
2024.9
수록면
288 - 297 (10page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Currently, numerous studies are being conducted on metal oxide semiconductor (MOS) gas sensors for hydrogen detection, using Palladium (Pd) and Pd-based alloy nanoparticles (NPs) owing to their hydrogen absorption ability. Furthermore, several studies havereported that Pd-Iridium (Ir) alloys possess high hydrogen absorption capabilities in their bulk state. However, Ir growth is limited toabove 2 nm and it does not mix extensively with other metals. Furthermore, as the hydrogen absorption capacity decreases with thereduction in particle size, it is necessary to synthesize nanoparticles of an appropriate size. Therefore, the synthesis of Pd-Ir alloy NPslarger than 10 nm is challenging. In this study, we report the synthesis of Pd-Ir NPs with an average diameter of 19 nm using a hydrothermal technique for the first time and fabricated Pd-Ir alloy NPs through calcination at 500°C in Ar and air. To confirm alloy formationand oxidation behavior, X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) were performed. In addition, we synthesized Pd-Ir@CeO2 core-shell nanoparticles (CSNPs) as hydrogen gas-sensing materials. The Pd-Ir core was partially oxidized duringheat treatment at 500°C in air, and Pd-Ir@CeO2 CSNPs were finally changed into Pd-Ir(alloy)/PdO-IrO2@CeO2 CSNPs, which exhibited higher sensitivity and selectivity toward H2 gas compared to totally oxidized PdO-IrO2@CeO2 CSNPs and pure CeO2 NPs. Theenhanced gas-sensing performance was attributed to the hydrogen absorption effect of the Pd-Ir(alloy) NPs.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

최근 본 자료

전체보기

댓글(0)

0