1
|
Chen X, Jiang Y, Liu Y, Yao C. Y 3+@CdTe quantum dot nanoprobe as a fluorescence signal enhancement sensing platform for the visualization of norfloxacin. Analyst 2023. [PMID: 37455634 DOI: 10.1039/d3an00921a] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
Quinolone antibiotics (norfloxacin) pose a serious threat to animal and human health due to their misuse and difficulty in being broken down in surface water and food. Rapid and effective detection of norfloxacin (NOR) is essential for environmental testing and ecosystems. In this study, yttrium was coordinated with mercaptopropionic acid (MPA)-modified CdTe quantum dots (QDs) to obtain a novel fluorescence sensor Y3+@CdTe QDs for the sensitive detection of NOR. NOR can bind to Y3+ to form a complex (NOR-Y3+). This complex enhances the luminescence of NOR and blue-shifts to 423 nm. The fluorescence intensity of NOR-Y3+ at 423 nm (I423) gradually increased with increasing NOR concentration; meanwhile, the fluorescence intensity of CdTe QDs at 634 nm (I634) gradually decreased due to aggregation induction. The ratio of I423 to I634 was used for the quantitative determination of NOR. The linear range of the constructed fluorescent probes was from 1.0 to 150.0 μM, with a detection limit of 31.8 nM. CdTe QDs act as a red fluorescent background, and with the addition of NOR, the color of the system transitions from red to purple and finally blue. This method was rapid (immediate) and visual, providing a simple analysis of various actual samples (tap water, lake water, honey, milk and human serum) for NOR.
Collapse
Affiliation(s)
- Xiong Chen
- College of Chemistry and Molecular Engineering, Nanjing Tech University, Nanjing 211816, P. R. China.
| | - Yuanhang Jiang
- College of Chemistry and Molecular Engineering, Nanjing Tech University, Nanjing 211816, P. R. China.
| | - Ying Liu
- College of Chemistry and Molecular Engineering, Nanjing Tech University, Nanjing 211816, P. R. China.
| | - Cheng Yao
- College of Chemistry and Molecular Engineering, Nanjing Tech University, Nanjing 211816, P. R. China.
| |
Collapse
|
2
|
Han J, Liu H, Qi J, Xiang J, Fu L, Sun X, Wang L, Wang X, Li B, Chen L. A Simple and Effective Visual Fluorescent Sensing Paper-Based Chip for the Ultrasensitive Detection of Mercury Ions in Environmental Water. SENSORS (BASEL, SWITZERLAND) 2023; 23:3094. [PMID: 36991805 PMCID: PMC10058424 DOI: 10.3390/s23063094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/03/2023] [Accepted: 03/08/2023] [Indexed: 06/19/2023]
Abstract
Traces of mercury ions in environmental water can harm humans and animals. Paper-based visual detection methods have been widely developed for the rapid detection of mercury ions; however, existing methods are not sensitive enough to be used in real environments. Here, we developed a novel, simple and effective visual fluorescent sensing paper-based chip for the ultrasensitive detection of mercury ions in environmental water. CdTe-quantum-dots-modified silica nanospheres were firmly absorbed by and anchored to the fiber interspaces on the paper's surface to effectively avoid the unevenness caused by liquid evaporation. The fluorescence of quantum dots emitted at 525 nm can be selectively and efficiently quenched with mercury ions, and the ultrasensitive visual fluorescence sensing results attained using this principle can be captured using a smartphone camera. This method has a detection limit of 2.83 µg/L and a fast response time (90 s). We successfully achieved the trace spiking detection of seawater (from three regions), lake water, river water and tap water with recoveries in the range of 96.8-105.4% using this method. This method is effective, low-cost, user-friendly and has good prospects for commercial application. Additionally, the work is expected to be utilized in the automated big data collection of large numbers of environmental samples.
Collapse
Affiliation(s)
- Jinglong Han
- School of Environment and Materials Engineering, Yantai University, Yantai 264005, China
| | - Huajun Liu
- School of Environment and Materials Engineering, Yantai University, Yantai 264005, China
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Research Center for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
| | - Ji Qi
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Research Center for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 264003, China
| | - Jiawen Xiang
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Research Center for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
| | - Longwen Fu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Research Center for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 264003, China
| | - Xiyan Sun
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Research Center for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
| | - Liyan Wang
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Research Center for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
| | - Xiaoyan Wang
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Research Center for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
| | - Bowei Li
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Research Center for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 264003, China
| | - Lingxin Chen
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Research Center for Coastal Environmental Engineering and Technology, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 264003, China
| |
Collapse
|
3
|
Venkatachalam V, Ganapathy S, Perumal I, Priyadarshini N, Jeferson Stanley. J.S S. The Size and Defect Controlled CdTe:In Colloidal Quantum Dots Via Varying the InCl3 Dopant Precursor Concentration in Aqueous Medium for Improving Solar Cell Performance. INORG CHEM COMMUN 2023. [DOI: 10.1016/j.inoche.2023.110395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
|
5
|
Vijayaraj V, Sasikala G, Manivannan N, Mathivanan N, Karuppasamy Supervisor P, Senthil Pandian M, Ramasamy P. Fluorescence Imaging of Onion epidermal Cell utilizing Highly Luminescent Water-Soluble CdTe Colloidal Quantum Dots. INORG CHEM COMMUN 2022. [DOI: 10.1016/j.inoche.2022.110352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
|