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Wang Y, Dai S, Liu T, Wu C, Sun M, Su G, Ye J, Wang X, He J, Rao H, Lu Z. Sulfur vacancy defects mediated CdZnTeS@BC heterojunction: Artificial intelligence-assisted self-enhanced electrochemiluminescence molecularly imprinted sensing of CTC. Biosens Bioelectron 2024; 248:115941. [PMID: 38160634 DOI: 10.1016/j.bios.2023.115941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 12/09/2023] [Accepted: 12/18/2023] [Indexed: 01/03/2024]
Abstract
Environmental pollution caused by tetracycline antibiotics is a major concern of global public health. Here, a novel and portable molecularly imprinted electrochemiluminescence (MIECL) sensor based on smartphones for highly sensitive detection of chlortetracycline (CTC) has been successfully established. The high-performance ECL emitter of biomass carbon (BC) encapsulated CdZnTeS (CdZnTeS@BC) was successfully synthesized by hydrothermal. The enhanced ECL performance was ascribed to the introduction of the BC and increased the overall electrical conductivity of the nanoemitter, as well as increased the number of sulfur vacancies and doping on the surface of the emitter based on density functional theory calculations. An aniline-CTC molecular imprinted polymer was synthesized on the surface of the CdZnTeS@BC modified electrode by in-situ electropolymerization. The decrease in MIECL signal was attributed to the increase in impedance effect. The MIECL nanoplatform enabled a wide linear relationship in the range of 0.05-100 μmol/L with a detection limit of 0.029 μmol/L for spectrometer sensors. Interestingly, the light emitted during the MIECL reaction can be captured by a smartphone. Thus, machine learning was used to screen the photos that were taken, and color analysis was carried out on the screened photos by self-developed software, thus achieving a portable, convenient, and intelligent sensing mode. Finally, the sensor obtains satisfactory results in the detection of actual samples, with no significant differences from those of liquid chromatography.
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Affiliation(s)
- Yanying Wang
- College of Science, Sichuan Agricultural University, Xin Kang Road, Yucheng District, Ya'an 625014, PR China
| | - Shijie Dai
- College of Science, Sichuan Agricultural University, Xin Kang Road, Yucheng District, Ya'an 625014, PR China
| | - Tao Liu
- College of Information Engineering, Sichuan Agricultural University, Xinkang Road, Yucheng District, Ya'an 625014, PR China
| | - Chun Wu
- College of Science, Sichuan Agricultural University, Xin Kang Road, Yucheng District, Ya'an 625014, PR China
| | - Mengmeng Sun
- College of Science, Sichuan Agricultural University, Xin Kang Road, Yucheng District, Ya'an 625014, PR China
| | - Gehong Su
- College of Science, Sichuan Agricultural University, Xin Kang Road, Yucheng District, Ya'an 625014, PR China
| | - Jianshan Ye
- School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510641, PR China
| | - Xianxing Wang
- College of Science, Sichuan Agricultural University, Xin Kang Road, Yucheng District, Ya'an 625014, PR China
| | - Jie He
- College of Science, Sichuan Agricultural University, Xin Kang Road, Yucheng District, Ya'an 625014, PR China
| | - Hanbing Rao
- College of Science, Sichuan Agricultural University, Xin Kang Road, Yucheng District, Ya'an 625014, PR China.
| | - Zhiwei Lu
- College of Science, Sichuan Agricultural University, Xin Kang Road, Yucheng District, Ya'an 625014, PR China.
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Bi N, Xi YH, Hu MH, Xu J, Gou J, Li YX, Zhang LN, Jia L. A sensitive multicolor fluorescence sensing strategy for chlorotetracycline based on bovine serum albumin-stabilized copper nanocluster. Colloids Surf B Biointerfaces 2023; 228:113404. [PMID: 37356140 DOI: 10.1016/j.colsurfb.2023.113404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/06/2023] [Accepted: 06/13/2023] [Indexed: 06/27/2023]
Abstract
Fluorescent probes with on-site visual detection function have received extensive attention in the detection of chlortetracycline (CTC), which was widely used in aquaculture and animal husbandry. Copper nanoclusters (Cu NCs) with excellent optical properties were prepared using bovine serum albumin (BSA) as a template, and a multicolor fluorescence strategy based on BSA-stabilized Cu NCs (BSA-Cu NCs) for detecting CTC was proposed. BSA-Cu NCs had a red emission at 640 nm. After the addition of CTC, the red emission of BSA-Cu NCs gradually decreased for internal filtering effect, while the green emission of CTC was significantly enhanced under the sensitization of BSA. This simple sensing process can be achieved in real time by directly mixing the target sample with BSA-Cu NCs, and the detection limit (LOD) of the system for CTC was 12.01 nM. Based on this sensing strategy, a fluorescence film sensing detection platform was constructed to achieve ultra-fast detection of CTC within 30 s. This work provided a fluorescent film sensor with the advantages of portability, ultra-fast and low cost, which provided a feasible alternative for on-site ultra-fast screening of CTC.
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Affiliation(s)
- Ning Bi
- College of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo 454000, PR China
| | - Ya-Hua Xi
- College of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo 454000, PR China
| | - Mei-Hua Hu
- School of Materials Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, PR China
| | - Jun Xu
- College of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo 454000, PR China
| | - Jian Gou
- College of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo 454000, PR China
| | - Yong-Xin Li
- College of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo 454000, PR China
| | - Li-Na Zhang
- College of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo 454000, PR China
| | - Lei Jia
- College of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo 454000, PR China.
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Cui ML, Lin ZX, Xie QF, Zhang XY, Wang BQ, Huang ML, Yang DP. Recent advances in luminescence and aptamer sensors based analytical determination, adsorptive removal, degradation of the tetracycline antibiotics, an overview and outlook. Food Chem 2023; 412:135554. [PMID: 36708671 DOI: 10.1016/j.foodchem.2023.135554] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/20/2022] [Accepted: 01/21/2023] [Indexed: 01/26/2023]
Abstract
Tetracycline antibiotics (TCs), one of the important antibiotic groups, have been widely used in human and veterinary medicines. Their residues in foodstuff, soil and sewage have caused serious threats to food safety, ecological environment and human health. Here, we reviewed the potential harms of TCs residues to foodstuff, environment and human beings, discussed the luminescence and aptamer sensors based analytical determination, adsorptive removal, and degradation strategies of TCs residues from a recent 5-year period. The advantages and intrinsic limitations of these strategies have been compared and discussed, the potential challenges and opportunities in TCs residues degradation have also been deliberated and explored.
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Affiliation(s)
- Ma-Lin Cui
- College of Chemical Engineering and Materials Science, Quanzhou Normal University, Quanzhou 362000, China.
| | - Zi-Xuan Lin
- College of Chemical Engineering and Materials Science, Quanzhou Normal University, Quanzhou 362000, China
| | - Qing-Fan Xie
- College of Chemical Engineering and Materials Science, Quanzhou Normal University, Quanzhou 362000, China
| | - Xiao-Yan Zhang
- College of Chemical Engineering and Materials Science, Quanzhou Normal University, Quanzhou 362000, China
| | - Bing-Qing Wang
- College of Chemical Engineering and Materials Science, Quanzhou Normal University, Quanzhou 362000, China
| | - Miao-Ling Huang
- College of Chemical Engineering and Materials Science, Quanzhou Normal University, Quanzhou 362000, China
| | - Da-Peng Yang
- College of Chemical Engineering and Materials Science, Quanzhou Normal University, Quanzhou 362000, China.
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Liu J, Zhan Y, Qiu B, Lin Z, Guo L. Portable Smartphone Platform Based on Aggregation-Induced Enhanced Emission Carbon Dots for Ratiometric Quantitative Sensing of Fluoride Ions. ACS Sens 2023; 8:884-892. [PMID: 36657970 DOI: 10.1021/acssensors.2c02589] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
The development of an instrument-free, on-site, real-time, sensitive, and visualized fluoride-ion (F-) content rapid detection strategy is crucial to ensuring the health of the population. Smart microdevices that are portable, directly read, and easy to operate have recently attracted much attention. Herein, a ratiometric fluorescent probe (AA-CDs@[Ru(bpy)3]2+)-based smartphone sensing platform was developed for the detection of F-. The red fluorescent ruthenium bipyridine [Ru(bpy)3]2+ molecule was chosen as the reference signal, and the carbon dots (AA-CDs) with Al3+ aggregation-induced enhanced emission (AIE) were designed as the response signal. The ratiometric probe fluorescence changed continuously from red to cyan in response to different concentrations of F-, and the red-green-blue (RGB) channel values of the fluorescence image were extracted through the smartphone color recognition application (APP). There was a linear relationship between the blue-red (B/R) ratio and the F- concentration, with a limit of detection (LOD) of 1.53 μM, far below the allowable content of F- in drinking water prescribed by the World Health Organization. The F- content was rapidly detected on-site with satisfactory repeatability and relative standard deviation using several water and toothpaste samples as the real sample. The platform features low cost, portability, easy operation, and good stability, selectivity, and repeatability, which provides a powerful tool for the visual quantitative detection of smartphone-based microsensing platforms possibly in the fields of environmental protection, diagnosis, and food safety assessment.
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Affiliation(s)
- Jingjing Liu
- Fujian Universities and Colleges Engineering Research Center of Soft Plastic Packaging Technology for Food, Fujian Polytechnic Normal University, Fuqing, Fujian Province 350300, P. R. China
| | - Yuanjin Zhan
- Department of Chemistry, State Key Laboratory of Molecular Engineering of Polymers and Chem, Fudan University, Shanghai 200433, P. R. China
| | - Bin Qiu
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou 350116, PR China
| | - Zhenyu Lin
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou 350116, PR China
| | - Longhua Guo
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou 350116, PR China.,Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, PR China
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