Explainable Deep Learning-Assisted Fluorescence Discrimination for Aminoglycoside Antibiotic Identification-Reference-Cited by-同舟云学术

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Explainable Deep Learning-Assisted Fluorescence Discrimination for Aminoglycoside Antibiotic Identification

Published:2022-01-03 Issue:2 Volume:94 Page:829-836
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Tan Xiaoqing¹,Liang Yongpeng¹,Ye Yingying¹,Liu Zhihao¹,Meng Jianxin¹,Li Fengyu¹²^ORCID

Affiliation:

1. College of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Functional Supramolecular Coordination Materials and Applications, Guangdong Engineering & Technology Research Centre of Graphene-like Materials and Products, Jinan University, Guangzhou 510632, China

2. College of Chemistry, Zhengzhou University, Zhengzhou 450001, China

Funder

National Natural Science Foundation of China

Key Projects in Basic and Applied Research of Jiangmen

Characteristic Innovation Projects of Guangdong Province for University

The National Key R&D Program of China

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.1c03508

Reference34 articles.

1. Determination of aminoglycoside antibiotics: Current status and future trends

2. Recent advances in nanomaterial-based biosensors for antibiotics detection

3. Trace analysis of tobramycin in human plasma by derivatization and high-performance liquid chromatography with ultraviolet detection

4. Simultaneous determination of 13 aminoglycoside residues in foods of animal origin by liquid chromatography–electrospray ionization tandem mass spectrometry with two consecutive solid-phase extraction steps

5. A novel electrochemical aptasensor based on arch-shape structure of aptamer-complimentary strand conjugate and exonuclease I for sensitive detection of streptomycin

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