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
Jeonghoon Park (Seoul National University) Hyejin Yun (Seoul National University) Chungsik Yoon (Seoul National University) Kiyoung Lee (Seoul National University) Kyung-Duk Zoh (Seoul National University)
저널정보
대한환경공학회 Environmental Engineering Research Environmental Engineering Research 제29권 제1호
발행연도
2024.2
수록면
146 - 161 (16page)

이용수

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

초록· 키워드

오류제보하기
In this study, 31 household spray-type cleaning products from 10 categories were examined to identify the substances contained in these products and evaluate their resulting toxicities. After substance detection via LC-QTOF-MS, suspect and non-target screenings were performed using UNIFI software. A total of 48 substances were identified during suspect screening. Among them, surfactant (freq. 22/31(71.0%)), plasticizer (freq. 23/31(74.2%)), antioxidant (freq. 20/31(64.5%)) were detected with high frequencies. Among the 48 compounds, tributyl citrate acetate was the most frequently detected (frequency 13/31, 41.9%). In addition, 51 substances were identified via non-target analysis. Among them, oleamide, a type of surfactant, showed a high frequency of detection (22/31(71.0%)). The toxicities of the 98 substances (suspect: 47 (except for confidence level 5) and non-target: 51) identified were evaluated using the European Chemicals Agency (ECHA) database and Toxtree. Among them, 20 substances were classified as a substance of caution. The risk assessment for 3 substances identified with references standards was also performed. The suspect and non-target screening technique proved to be a useful method that can be applied when there are many non-specific chemicals and their components in the consumer products are not well known.

목차

ABSTRACT
1. Introduction
2. Materials and Methods
3. Results & Discussions
4. Conclusions
References

참고문헌 (92)

참고문헌 신청

함께 읽어보면 좋을 논문

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

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2023-539-001468773