Portable, intelligent MIECL sensing platform for ciprofloxacin detection using a fast convolutional neural networks-assisted TbLu2O3 nanoemitter
Copyright © 2024 Elsevier Ltd. All rights reserved..
Environmental pollution caused by ciprofloxacin is a major problem of global public health. A machine learning-assisted portable smartphone-based visualized molecularly imprinted electrochemiluminescence (MIECL) sensor was developed for the highly selective and sensitive detection of ciprofloxacin (CFX) in food. To boost the efficiency of electrochemiluminescence (ECL), oxygen vacancies (OVs) enrichment was introduced into the flower-like TbLu2O3 nanoemitter. With the specific recognition reaction between MIP as capture probes and CFX as detection target, the ECL signal significantly decreased. According to, CFX analysis was determined by traditional ECL analyzer detector in the concentration range from 5 × 10-4 to 5 × 102 μmol L-1 with the detection limit (LOD) of 0.095 nmol L-1 (S/N = 3). Analysis of luminescence images using fast electrochemiluminescence judgment network (FEJ-Net) models, achieving portable and intelligent quick analysis of CFX. The proposed MIECL sensor was used for CFX analysis in real meat samples and satisfactory results, as well as efficient selectivity and good stability.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:444 |
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| Enthalten in: |
Food chemistry - 444(2024) vom: 30. März, Seite 138656 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Lu, Zhiwei [VerfasserIn] |
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| Links: |
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| Themen: |
Artificial intelligence |
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| Anmerkungen: |
Date Completed 11.03.2024 Date Revised 11.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.foodchem.2024.138656 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Copyright © 2024 Elsevier Ltd. All rights reserved. | ||
| 520 | |a Environmental pollution caused by ciprofloxacin is a major problem of global public health. A machine learning-assisted portable smartphone-based visualized molecularly imprinted electrochemiluminescence (MIECL) sensor was developed for the highly selective and sensitive detection of ciprofloxacin (CFX) in food. To boost the efficiency of electrochemiluminescence (ECL), oxygen vacancies (OVs) enrichment was introduced into the flower-like TbLu2O3 nanoemitter. With the specific recognition reaction between MIP as capture probes and CFX as detection target, the ECL signal significantly decreased. According to, CFX analysis was determined by traditional ECL analyzer detector in the concentration range from 5 × 10-4 to 5 × 102 μmol L-1 with the detection limit (LOD) of 0.095 nmol L-1 (S/N = 3). Analysis of luminescence images using fast electrochemiluminescence judgment network (FEJ-Net) models, achieving portable and intelligent quick analysis of CFX. The proposed MIECL sensor was used for CFX analysis in real meat samples and satisfactory results, as well as efficient selectivity and good stability | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Ciprofloxacin | |
| 650 | 4 | |a Electrochemiluminescence | |
| 650 | 4 | |a Molecularly imprinted polymers | |
| 650 | 4 | |a Residual neural network | |
| 700 | 1 | |a Gong, Yonghui |e verfasserin |4 aut | |
| 700 | 1 | |a Shen, Chengao |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Haoran |e verfasserin |4 aut | |
| 700 | 1 | |a Zhu, Weiling |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Tao |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Chun |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Mengmeng |e verfasserin |4 aut | |
| 700 | 1 | |a Su, Gehong |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Xianxing |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Yanying |e verfasserin |4 aut | |
| 700 | 1 | |a Ye, Jianshan |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Xin |e verfasserin |4 aut | |
| 700 | 1 | |a Rao, Hanbing |e verfasserin |4 aut | |
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