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
Himanshi Mehta (Panjab University) Megha Gupta (Panjab University) Parminder Kaur (Panjab University) Jaspreet Kaur (Panjab University) Naveen Kaushal (Panjab University)
저널정보
한국진공학회(ASCT) Applied Science and Convergence Technology Applied Science and Convergence Technology Vol.30 No.3
발행연도
2021.5
수록면
81 - 86 (6page)

이용수

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

초록· 키워드

오류제보하기
Biomolecules mediated synthesis of nanoparticles (NPs) has revolutionized the nanotechnology research field due to its eco-friendly and non-toxic nature. The green approaches of NPs synthesis using plant extracts offer an effective and better alternative than other synthesis methods. Metal-based NPs have emerged at the forefront of biomedicine due to their versatility in health and therapeutics. In this context, Selenium (Se), a versatile trace element is known for its critical role in various pathophysiological processes through regulation of cellular redox status and inflammatory pathways besides others. However, these beneficial effects of Se are limited by its narrow physiologically relevant concentration range. Deficiency or excess of Se is associated with numerous pathologies and toxicities. Thus, in current study we have synthesized and characterized Hempseed (Cannabis sativa) based novel biogenic Se nanoparticles (SeNPs) using UV visible spectroscopy, DLS, EDX, FE-SEM, and FT-IR. Further, the phytochemical profiles and antioxidant as well as anti-inflammatory potential of these SeNPs were evaluated to ascertain their physiological benefits. Results indicated the spherical shaped SeNPs of average size 140–150 nm with favourable zeta potential of −45.0 mV. The phytochemical and Se analysis validated the redox modulatory anti-inflammatory potential of these hempseed based green SeNPs.

목차

ABSTRACT
1. Introduction
2. Experimental details
3. Results and discussion
4. Conclusions
References

참고문헌 (67)

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