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An intrinsic dual-emitting fluorescence sensing toward tetracycline with self-calibration model based on luminescent lanthanide-functionalized metal-organic frameworks

文献类型: 外文期刊

作者: Shi, Baoqian 1 ; Zhang, Xinai 1 ; Li, Wenting 1 ; Liang, Nini 1 ; Hu, Xuetao 1 ; Xiao, Jianbo 3 ; Wang, Daoying 4 ; Zou, Xiaobo 1 ; Shi, Jiyong 1 ;

作者机构: 1.Jiangsu Univ, Sch Food & Biol Engn, Agr Prod Proc & Storage Lab, Zhenjiang 212013, Jiangsu, Peoples R China

2.Jiangsu Univ, Int Joint Res Lab Intelligent Agr & Agriprod Proc, Zhenjiang 212013, Peoples R China

3.Univ Vigo, Fac Food Sci & Technol, Dept Analyt Chem & Food Sci, Ourense Campus, Orense 32004, Spain

4.Jiangsu Acad Agr Sci, Inst Agr Prod Proc, Nanjing 210014, Peoples R China

关键词: Lanthanide-functionalized metal-organic; frameworks; Tetracycline residues; Dual-emitting fluorescence assay; Periodic monitoring; Self-calibration model

期刊名称:FOOD CHEMISTRY ( 影响因子:8.8; 五年影响因子:8.6 )

ISSN: 0308-8146

年卷期: 2023 年 400 卷

页码:

收录情况: SCI

摘要: A novel ratiometric fluorescence sensor based on lanthanide-functionalized metal-organic frameworks (Ag+/ Eu3+@UiO-66(COOH)(2), AEUC) with intrinsic dual-emitting bands was fabricated to determine tetracycline (TC) residues by exploiting (UiO-66-(COOH)(2), UC) as reference units, Eu(3+ )as recognition units and Ag+ as fluorescence enhancer. Benefiting from specific binding sites and functional adsorbent channels of AEUC, efficient capture and specific recognize toward TC could be achieved, remarkably enhancing the reliability. The synergistic effect of inner filter effect (IFE) and photoinduced electron transfer (PET) process between TC and AEUC was verified, enabling the detection limit and quantification limit of established strategy reaching as 12.8 nmol/L and 38.6 nmol/L and conspicuous fluorescence color gradation from red to blue. Given its portability, point-of-care sensing platform and nanoprobe-immobilized test-paper-based measurement allowing for on-site qualitative identification and semi-quantitative assay of TC was devised for sensing visualization and has been successfully applied in foodstuff samples, providing prospect in the field of smart devices for visual monitoring of TC.

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