Smartphone-Assisted EY@MOF-5-Based Dual-Emission Fluorescent Sensor for Rapid On-Site Detection of Daclatasvir and Nitenpyram

被引:18
|
作者
Kanwal, Tehreem [1 ]
Rasheed, Sufian [1 ]
Hassan, Mahjabeen [1 ]
Fatima, Batool [2 ]
Xiao, Hua-Ming [3 ]
Musharraf, Syed Ghulam [1 ]
Najam-ul-Haq, Muhammad [4 ]
Hussain, Dilshad [1 ]
机构
[1] Univ Karachi, HEJ Res Inst Chem, Int Ctr Chem & Biol Sci ICCBS, Karachi 75270, Pakistan
[2] Bahauddin Zakariya Univ, Dept Biochem, Multan 60800, Pakistan
[3] Chinese Acad Agr Sci, Minist Agr, Key Lab Oilseeds Proc, Hubei Key Lab Lipid Chem & Nutr,Oil Crops Res Inst, Wuhan 430062, Peoples R China
[4] Bahauddin Zakariya Univ, Inst Chem Sci, Multan 60800, Pakistan
关键词
fluorescent MOF; dual-emission; daclatasvir; nitenpyram; RGB analysis; smartphone sensor; METAL-ORGANIC FRAMEWORKS; AT-ZR-MOF; HPLC METHOD; LIQUID; QUANTIFICATION; CHROMATOGRAPHY; NANOPARTICLES; VALIDATION; RESIDUES;
D O I
10.1021/acsami.3c12565
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Fluorescent metal-organic frameworks (MOFs) are promising sensing materials with tunable and robust structural properties and remarkable luminescent capabilities. In this study, a novel dual-emission fluorescent metal-organic framework (EY@MOF-5) composite is synthesized by a one-pot bottle-around-ship approach. Eosin Y (EY) is encapsulated in MOF-5 to enhance its fluorescence properties and selectivity, effectively addressing typical MOF-5 limitations. EY@MOF-5 serves as a versatile dual-functional fluorescent sensor for two different analytes, daclatasvir (DCT) and nitenpyram (NTP), showing an impressive linear range of 10-200 nM and 0.1-300 mu M, with detection limits of 233 pM and 65 nM, respectively. The established method is ultrafast, highly sensitive, and extremely selective for DCT and NTP detection in complex biological and food samples. Fluorescence results are compared and validated with the recommended UPLC method. Then, a smartphone-integrated sensing system is introduced for on-site, real-time, and quantitative analysis of DCT and NTP. The smartphone-assisted intelligent sensing method manifests promising results for DCT and NTP monitoring in biological and food samples, demonstrating its promising potential for the on-site detection of biologically and environmentally significant analytes.
引用
收藏
页码:1688 / 1704
页数:17
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