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
Rohankumar R. Chavan (Bharati Vidyapeet College of Pharmacy) Somnath D. Bhinge (Rajarambapu College of Pharmacy) Mangesh A. Bhutkar (Rajarambapu College of Pharmacy) Dheeraj S. Randive (Rajarambapu College of Pharmacy) Vijay R. Salunkhe (Rajarambapu College of Pharmacy)
저널정보
한국분석과학회 분석과학 분석과학 제34권 제5호
발행연도
2021.10
수록면
212 - 224 (14page)

이용수

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

초록· 키워드

오류제보하기
The intent of the present work was to develop a simple, sensitive, accurate, precise, rapid and economical UV- spectrophotometric and reverse phase high pressure liquid chromatographic method for the simultaneous estimation of Spironolactone and Furosemide in bulk and combined tablet dosage forms. UV-Spectrophotometry was carried out by simultaneous equation method using 0.02 M potassium dihydrogen phosphate buffer pH 3.5: Acetonitrile (50:50) v/v as a solvent. The linearity range was 2-14 ㎍ mL<SUP>−1</SUP> for Spironolactone and Furosemide with a correlation coefficient > 0.99. The chromatographic separation was achieved on 250 ㎜ × 4.6 ㎜, hypersil BDS C18 column with particle size 5 ㎛, by using an isocratic mixture of 0.02 M potassium dihydrogen phosphate buffer pH 3.5: Acetonitrile: tert butyl methyl ether (49:50:1) v/v/v as a solvent at a flow rate of 1 mL min<SUP>−1</SUP> and UV detection was carried out at 254 ㎚. The retention time were observed to be 3.666 and 6.661 minutes for Furosemide and Spironolactone respectively. The two developed methods were validated according to the ICH guidelines for accuracy, precision, linearity, LOD, LOQ and were found to be within the limits. It can be concluded that these two methods could be successfully used for the simultaneous estimation of Spironolactone and Furosemide in bulk and combined tablet dosage forms.

목차

Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
5. Figure of Merits
6. Conclusions
References

참고문헌 (37)

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