인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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.
초록·키워드
Selective, and green spectrophotometric methods have been developed for the simultaneous analysis of remdesivir (RDV) and moxifloxacin hydrochloride (MFX), two active agents that are being used together in COVID-19 treatment. Because of the considerable spectral overlap, six mathematical spectrophotometric approaches were applied, including ratio derivative, ratio difference, mean centering of ratio spectra, area under the curve, Q-analysis, and bivariate calibration, to allow accurate interference-free determination without preliminary separation. The proposed methods were validated as per ICH guidelines, demonstrating excellent linearity over the concentration ranges of 1-15 µg/mL for RDV and 1-10 µg/mL for MFX, with correlation coefficients exceeding 0.999. They showed high sensitivity with LODs from 0.26 to 0.92 µg/mL and LOQs from 0.27 to 0.96 µg/mL for both drugs, enabling reliable trace analysis of the studied drugs in complex matrices. The methods also applied to dosage forms and spiked human plasma provided good recoveries with minimal matrix interference, demonstrating that the methods are robust and applicable. Eco-Scale, ComplexGAPI, and AGREE gave a high score on green profiles for environmental and practical sustainability. Further, the high whiteness and blueness scores indicated that the methods met the requirements of white analytical chemistry by RGB12 and BAGI tools. Thus, these methods offer a practical, eco-conscious solution for simultaneous determination of RDV and MFX in pharmaceutical and clinical settings, contributing to better therapeutic monitoring in COVID-19 management.
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.
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