An asynchronous response fluorescence sensor combines machine learning theory to qualitatively and quantitatively detect tetracyclines

Li, Chunhua; Tian, Zhehang; Bao, Luqian; Shi, Yubo; Ji, Yixin; Cui, Mengyao; Xing, Jiayu; Zhao, Zhilei

doi:10.1016/j.foodchem.2024.138854

Food Chemistry

2024

DOI: 10.1016/j.foodchem.2024.138854

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An asynchronous response fluorescence sensor combines machine learning theory to qualitatively and quantitatively detect tetracyclines

Chunhua Li,

Zhehang Tian,

Luqian Bao

et al.

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Cited by 5 publications

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A MOF-on-MOF heterostructure ratiometric/colorimetric dual-mode fluorescence sensor based on support vector machine for detecting tetracyclines in animal-derived foods

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A MOF-on-MOF heterostructure ratiometric/colorimetric dual-mode fluorescence sensor based on support vector machine for detecting tetracyclines in animal-derived foods

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Synthesis of SnC@Au@Apta by electrospinning as an electrochemical sensor for detection of tetracycline

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An asynchronous response fluorescence sensor combines machine learning theory to qualitatively and quantitatively detect tetracyclines

Cited by 5 publications

References 36 publications

A MOF-on-MOF heterostructure ratiometric/colorimetric dual-mode fluorescence sensor based on support vector machine for detecting tetracyclines in animal-derived foods

A MOF-on-MOF heterostructure ratiometric/colorimetric dual-mode fluorescence sensor based on support vector machine for detecting tetracyclines in animal-derived foods

Surface modification of PSF membranes using interfacial polymerization of BiOCl/MIL-101(Fe)@PDA for improving photocatalytic nanofiltration performance toward tetracycline

Synthesis of SnC@Au@Apta by electrospinning as an electrochemical sensor for detection of tetracycline

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