A highly sensitive fluorescent detection method utilizing B and S co-doped graphene quantum dots for ibuprofen analysis

IF 6.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY alexandria engineering journal Pub Date : 2024-10-31 DOI:10.1016/j.aej.2024.10.089
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Abstract

A highly sensitive and selective fluorescent probe utilizing B and S co-doped graphene quantum dots (BS-GQDs) has been created for detecting ibuprofen. The co-doping strategy effectively modulated the electronic structure and surface properties of GQDs, resulting in enhanced fluorescence quantum yield and sensing performance. The BS-GQDs exhibited strong fluorescence quenching upon interaction with ibuprofen, which was attributed to the formation of a ground-state complex and electron transfer from BS-GQDs to ibuprofen. Under optimal conditions, the sensor exhibited a broad linear range, a low detection limit, and outstanding selectivity for ibuprofen compared to other common medications and interferents. The practical utility of the sensor was validated through the successful identification of ibuprofen in spiked urine and serum samples, achieving high recovery rates and accuracy. The BS-GQDs-based fluorescent sensor provides a promising platform for sensitive, rapid, and reliable monitoring of ibuprofen in pharmaceutical and biomedical fields.
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利用 B 和 S 共掺杂石墨烯量子点分析布洛芬的高灵敏度荧光检测方法
利用 B 和 S 共掺杂石墨烯量子点(BS-GQDs)创建了一种用于检测布洛芬的高灵敏度和选择性荧光探针。共掺杂策略有效地调节了石墨烯量子点的电子结构和表面特性,从而提高了荧光量子产率和传感性能。BS-GQDs 与布洛芬相互作用时表现出强烈的荧光淬灭,这归因于基态复合物的形成以及 BS-GQDs 与布洛芬之间的电子转移。在最佳条件下,该传感器的线性范围宽、检测限低,与其他常见药物和干扰物相比,对布洛芬具有出色的选择性。通过对尿液和血清样品中布洛芬的成功鉴定,验证了该传感器的实用性,实现了高回收率和高准确度。基于 BS-GQDs 的荧光传感器为在制药和生物医学领域灵敏、快速、可靠地监测布洛芬提供了一个前景广阔的平台。
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来源期刊
alexandria engineering journal
alexandria engineering journal Engineering-General Engineering
CiteScore
11.20
自引率
4.40%
发文量
1015
审稿时长
43 days
期刊介绍: Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification: • Mechanical, Production, Marine and Textile Engineering • Electrical Engineering, Computer Science and Nuclear Engineering • Civil and Architecture Engineering • Chemical Engineering and Applied Sciences • Environmental Engineering
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