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
질문

논문 기본 정보

자료유형
학술저널
저자정보
Marine Pichelin (Medical R&D) Catherine Billoet (Medical R&D) Georges Caillibotte (Medical R&D)
저널정보
대한직업환경의학회 대한직업환경의학회지 대한직업환경의학회지 제28권 제7호
발행연도
2016.7
수록면
20 - 28 (9page)

이용수

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

초록· 키워드

오류제보하기
Background: Computational fluid dynamics (CFD) has been used to compute nitrous oxide (N₂O) levels within a room during the administration of an equimolar mix of N₂O/oxygen (EMONO) in the clinical setting. This study modelled realistic scenarios of EMONO usage in hospital or primary care, in order to estimate the potential N₂O exposure of healthcare professionals (HCP) with routine EMONO use and to provide guidance for EMONO users.
Methods: Sixteen scenarios were defined by carrying out a survey of practitioners. CFD simulations were performed for each scenario and N₂O concentrations over time were calculated. N₂O exposures (time-weighted average of concentration over 8 h [TWA-8 h]) were calculated at the HCPs’ mouth to be compared with a predefined occupational exposure limit (OEL).
Results: Administration duration and ventilation type were the main factors influencing N₂O levels; ventilation type also influenced wash-out time between EMONO administrations. N₂O concentration showed a plume distribution towards the ceiling and was highly heterogeneous, highlighting the importance of measurement location. Although estimated TWA-8 h varied widely, 13 of the 16 scenarios had an N₂O TWA-8 h of <100 parts per million.
Conclusions: Data demonstrate that EMONO usage in well ventilated rooms – as recommended – helps to ensure that N₂O exposure does not exceed the OEL and does not signal any major risks for HCPs when recommendations are followed. Although these data are numerical simulations and should be considered as such, they can provide guidance for EMONO users.

목차

Abstract
Background
Methods
Results
Discussion
Conclusion
References

참고문헌 (35)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2017-517-001005442