研究目的
To develop a smartphone-based electrochemiluminescence system for fingerprints mapping and biochemical sensing of substances like nicotine and TNT.
研究成果
The smartphone-based ECL system successfully enabled fingerprints mapping and biochemical sensing with high sensitivity and clarity, showing potential for personal medicine and public health applications through mobile care testing.
研究不足
The system may be influenced by endogenous substances on fingerprints and requires a dark chamber for imaging. The complexity of smartphone integration and potential variability in fingerprint deposits could affect reproducibility.
1:Experimental Design and Method Selection:
The study integrated ECL with smartphone technology, using the USB interface for voltage excitation and the camera for imaging. A 3D printed device housed the reaction with ITO and platinum electrodes. Multimode imaging analysis (RGB, Gray, Binary) was employed for data processing.
2:Sample Selection and Data Sources:
Fingerprints were deposited on ITO electrodes after hand washing and drying. Nicotine and TNT solutions were prepared at various concentrations for sensing.
3:List of Experimental Equipment and Materials:
Smartphone (HUAWEI G660-L075), 3D printed reaction device, ITO glass, platinum electrode, tris(2,2'-bipyridyl)ruthenium(II), tripropylamine, nicotine, TNT, methanol, ultrapure water, divider circuit, CHI660E electrochemical workstation.
4:Experimental Procedures and Operational Workflow:
Excitation voltages (2.0-3.0 V) were applied via USB; luminescence images were captured after 9s. For fingerprints, voltages were optimized; for sensing, concentrations were varied and images analyzed.
5:0-0 V) were applied via USB; luminescence images were captured after 9s. For fingerprints, voltages were optimized; for sensing, concentrations were varied and images analyzed.
Data Analysis Methods:
5. Data Analysis Methods: Multimode imaging software on the smartphone provided RGB, Gray, and Binary values. Electrochemical responses were recorded with the workstation.
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