Highly sensitive and selective L-lactate monitoring in complex matrices with a ratiometric fluorescent sensor RhB@Zn-MOF

IF 7.4 2区 工程技术 Q1 ENGINEERING, CHEMICAL
Bo Jing, Xinke Xu, Jingze Wang, Changyan Sun, Wenjun Li, Zhidong Chang
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引用次数: 0

Abstract

L-lactate is an essential biomarker in clinical diagnostics and food quality assessment. This study introduces a novel ratiometric fluorescence sensor, RhB@Zn-MOF, which was specifically designed for the sensitive and selective detection of L-lactate. Through the strategic incorporation of Rhodamine B (RhB) into Zn-MOF, RhB@Zn-MOF was synthesized, exhibiting dual-emission properties and could effectively distinguish L-lactate in complex biological and food matrices such as milk and sweat based on the competitive absorption mechanism. Notably, the sensor achieves a low detection limit of 0.091 μM and demonstrates excellent stability and reproducibility in varied conditions. Furthermore, the integration of the sensor with smartphone technology enables rapid, real-time analysis, showcasing potential applications in sports medicine, clinical environments, and the food industry.
利用比率荧光传感器 RhB@Zn-MOF 监测复杂基质中的高灵敏度和高选择性 L-乳酸盐
在临床诊断和食品质量评估中,L-乳酸盐是一种重要的生物标志物。本研究介绍了一种新型比率荧光传感器 RhB@Zn-MOF,该传感器专门设计用于灵敏、选择性地检测 L-乳酸盐。通过在 Zn-MOF 中策略性地加入罗丹明 B (RhB),合成了 RhB@Zn-MOF,该传感器具有双发射特性,基于竞争性吸收机制,可有效区分牛奶和汗液等复杂生物和食品基质中的 L-乳酸盐。值得注意的是,该传感器实现了 0.091 μM 的低检测限,并在不同条件下表现出优异的稳定性和重现性。此外,该传感器与智能手机技术的整合实现了快速、实时的分析,展示了在运动医学、临床环境和食品工业中的潜在应用。
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来源期刊
Journal of Environmental Chemical Engineering
Journal of Environmental Chemical Engineering Environmental Science-Pollution
CiteScore
11.40
自引率
6.50%
发文量
2017
审稿时长
27 days
期刊介绍: The Journal of Environmental Chemical Engineering (JECE) serves as a platform for the dissemination of original and innovative research focusing on the advancement of environmentally-friendly, sustainable technologies. JECE emphasizes the transition towards a carbon-neutral circular economy and a self-sufficient bio-based economy. Topics covered include soil, water, wastewater, and air decontamination; pollution monitoring, prevention, and control; advanced analytics, sensors, impact and risk assessment methodologies in environmental chemical engineering; resource recovery (water, nutrients, materials, energy); industrial ecology; valorization of waste streams; waste management (including e-waste); climate-water-energy-food nexus; novel materials for environmental, chemical, and energy applications; sustainability and environmental safety; water digitalization, water data science, and machine learning; process integration and intensification; recent developments in green chemistry for synthesis, catalysis, and energy; and original research on contaminants of emerging concern, persistent chemicals, and priority substances, including microplastics, nanoplastics, nanomaterials, micropollutants, antimicrobial resistance genes, and emerging pathogens (viruses, bacteria, parasites) of environmental significance.
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