인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
학술저널
Full-text
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
Various methods of the extraction test is currently available for the biological safety evaluation of dental materials. Hence, setting of the appropriate extraction conditions such as extraction media appropriate to the materials, extraction temperature, and extraction time would be required. In this study, analysis of the dental materials that is used while in contact with oral mucosa was carried out in term of their selections, sample preparations, extraction, in order to provide the foundation for the biological safety evaluation of medical devices that is alternative to the animal studies. Dental materials of restorative composite resin, chemical cured denture base resin, and polyvinyl siloxane impression materials were selected and the SPU-ZDEC (Zinc diethyldithiocarbamate) was used as the positive control. They were all extracted according to the ISO 10993-12. Visual inspection, pH meter, Ultimate 3000 UHPLC, UltraflexⅢ TOF/TOF, and UPLC were used as the method of extracted solution analysis. As the results, there was no foreign materials nor impurities in all of test samples during visual inspection of the appearance. The pH was near the neutral value of 7, except for the restorative composite resin and the blank test solution. Finally, the detailed analysis of extracted solution showed evidence of main components of materials such as bisphenol A glycerolate dimethacrylate, diurethane dimethacrylate, triethylene glycol dimethacrylate, and zinc diethyldithiocarbamate. The result of this study will provide useful information on safety evaluation of tested materials including the sample preparation method for the alternative test method to animal study such as mucosa irritation test.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2016-515-001295531
