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基于硼掺杂碳量子点的超灵敏且选择性荧光法用于测定实际人血浆中的艾拉戈利以及含量均匀度

Ultra-sensitive and selective fluorescence approach for estimation of elagolix in real human plasma and content uniformity using boron-doped carbon quantum dots.

作者信息

Salman Baher I, Hassan Ahmed I, Hassan Yasser F, Saraya Roshdy E

机构信息

Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Al-Azhar University, Assiut Branch, Assiut, 71524, Egypt.

Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Port Said University, Port Said, 42511, Egypt.

出版信息

BMC Chem. 2022 Aug 4;16(1):58. doi: 10.1186/s13065-022-00849-3.

Abstract

Elagolix (ELX) is an orally administered non-peptidic GnRH antagonist that has been approved by the Food and Drug Administration in 2018 for the treatment of endometriosis pain. A sensitive and selective method for estimating elagolix (ELX) in human plasma and content uniformity was developed and validated. The spectrofluorimetric technique was used to investigate ELX utilizing boron-doped carbon quantum dots (B@CQDs). After gradually adding ELX, the quantum dots fluorescence was enhanced with LOQ of 1.74 ng mL, the calibration curve between ELX and corresponding fluorescence intensity was found over a range of 4-100 ng mL. The method was successfully applied in real human plasma with pharmacokinetic study and content uniformity test. The pharmacokinetic parameters as C were found to be 570 ± 5.32 ng. mL after 1 h, t was found to be 6.50 h, and AUC was found to be 1290 ± 30.33 ng. h. mL. B@CQDs were characterized using variety of instruments. The strategy is simple to implement in clinical labs and therapeutic drug monitoring systems.

摘要

艾拉戈利克(ELX)是一种口服非肽类促性腺激素释放激素(GnRH)拮抗剂,于2018年获美国食品药品监督管理局批准用于治疗子宫内膜异位症疼痛。开发并验证了一种灵敏且选择性的方法,用于测定人血浆中的艾拉戈利克(ELX)及含量均匀度。采用荧光光谱法,利用硼掺杂碳量子点(B@CQDs)对ELX进行研究。逐渐加入ELX后,量子点荧光增强,定量限为1.74 ng/mL,在4 - 100 ng/mL范围内发现了ELX与相应荧光强度之间的校准曲线。该方法成功应用于实际人体血浆的药代动力学研究和含量均匀度测试。药代动力学参数C在1小时后为570±5.32 ng/mL,t为6.50小时,AUC为1290±30.33 ng·h/mL。使用多种仪器对B@CQDs进行了表征。该策略在临床实验室和治疗药物监测系统中易于实施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5514/9351230/f67d6464d306/13065_2022_849_Fig1_HTML.jpg

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