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
저널정보
대한미용학회 대한미용학회지 대한미용학회지 제15권 제2호
발행연도
2019.1
수록면
165 - 172 (8page)

이용수

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

초록· 키워드

오류제보하기
This study adopted adipic acid as an intermediate treatment agent for perming virgin hair. The optimum ratio of adipic acid was 1%. For the test, we were divided into two groups: an experimental group (1% adipic acid was used as an intermediate treatment agent for perming) and a control group. In terms of wave formation, the experimental group was shorter than the control group by 4.8%. In the length of wave hair when shampooed 30 times, the experimental group was shorter than the control group by 12.8%. In other words, the experimental group was better than the control group for both wave formation and retention. In terms of hair thickness, no statistically significant difference was observed. In tensile strength, the experimental group revealed an 18.7% increase (p<0.05). In elongation, on the contrary, a 3.6% decrease was observed in the experimental group (p<0.05). In methylene blue coloring, the control group was 2.53 times greater than the experimental group (p<0.001). When hair was examined using scanning electron microscopy (SEM), cuticles were undamaged in both experimental and control groups. However, the experimental group was smoother than the control group in terms of hair texture. In other words, it appears that waves are improved by adipic acid through hair improvement, not through cuticle improvement. The above results confirmed that better hair formation and retention were observed when 1% adipic acid was applied to virgin hair as an intermediate treatment agent. In terms of the degree of hair damage, no statistically significant difference was found. Therefore, it may be concluded that adipic acid is acceptable as a cosmetics ingredient.

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!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0