Morphology Control of Zr-Based Luminescent Metal-Organic Frameworks for Aflatoxin B1 Detection

被引:3
作者
Zhu, Fang [1 ]
Chai, Qiuxue [1 ]
Xiong, Dinghui [1 ]
Zhu, Nuanfei [1 ]
Zhou, Jialong [1 ]
Wu, Ruoxi [1 ]
Zhang, Zhen [1 ]
机构
[1] Jiangsu Univ, Sch Environm & Safety Engn, Sch Emergency Management, Zhenjiang 212013, Peoples R China
来源
BIOSENSORS-BASEL | 2024年 / 14卷 / 06期
基金
中国国家自然科学基金;
关键词
sensors; metal-organic frameworks; rapid detection; aflatoxin B1; fluorescence; SELECTIVE DETECTION; SENSITIVE DETECTION; MOF; SEPARATION;
D O I
10.3390/bios14060273
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Metal-organic frameworks (MOFs) have gained significant prominence as sensing materials owing to their unique properties. However, understanding the correlation between the morphology, properties, and sensing performance in these MOF-based sensors remains a challenge, limiting their applications and potential for improvement. In this study, Zr-MOF was chosen as an ideal model to explore the impact of the MOF morphology on the sensing performance, given its remarkable stability and structural variability. Three luminescent MOFs (namely rod-like Zr-LMOF, prismoid-like Zr-LMOF, and ellipsoid-like Zr-LMOF) were synthesized by adjusting the quantities of the benzoic acid and the reaction time. More importantly, the sensing performance of these Zr-LMOFs in response to aflatoxin B1 (AFB1) was thoroughly examined. Notably, the ellipsoid-like Zr-LMOF exhibited significantly higher sensitivity compared to other Zr-LMOFs, attributed to its large specific surface area and pore volume. Additionally, an in-depth investigation into the detection mechanism of AFB1 by Zr-LMOFs was conducted. Building upon these insights, a ratiometric fluorescence sensor was developed by coordinating Eu3+ with ellipsoid-like Zr-LMOF, achieving a remarkably lower detection limit of 2.82 nM for AFB1. This study contributes to an improved comprehension of the relationship between the MOF morphology and the sensing characteristics while presenting an effective approach for AFB1 detection.
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页数:11
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