研究目的
Designing and developing a new near-infrared fluorescent probe for colorimetric and sequential detection of Cu2+ and S2?, with high sensitivity, selectivity, and large Stokes shift, for applications in environmental and biological monitoring.
研究成果
The probe 1 is highly selective and sensitive for sequential detection of Cu2+ and S2? with low detection limits and a large Stokes shift. It demonstrates reversibility and practical applicability in real samples, making it promising for environmental and industrial monitoring.
研究不足
The probe's performance is pH-dependent, with optimal detection in pH 6-8 for Cu2+ and neutral to alkaline conditions for S2?. Interference from CN? was noted in S2? detection. Synthesis requires specific conditions and may be time-consuming.
1：Experimental Design and Method Selection:
The study involved designing a dicyanoisophorone-based derivative probe (probe 1) with a salicyladehyde azine unit for metal ion sensing. Methods included UV-vis and fluorescence spectroscopy for optical characterization, DFT calculations for theoretical analysis, and synthesis of probe and contrastive compounds.
2：Sample Selection and Data Sources:
Probe 1 was synthesized from commercial reagents. Real water samples (tap water and river water) were collected and filtered for application tests.
3：List of Experimental Equipment and Materials:
Equipment included Varian Cary 500 spectrophotometer, CARY Eclipse Spectrophotometer, Bruker AM-400 spectrometer, Waters LCT Premier XE spectrometer, pH-10C digital pH meter, SGWX-4 melting-point apparatus. Materials included various solvents and reagents for synthesis and testing.
4：Experimental Procedures and Operational Workflow:
Synthesis of probe 1 via condensation reaction, purification by column chromatography. Optical studies in DMSO-HEPES buffer, titration with Cu2+ and S2?, pH effect studies, DFT calculations, and application tests with strip papers and real water samples.
5：Data Analysis Methods:
Data analyzed using Benesi-Hildebrand equation for binding constants, Job's plot for stoichiometry, linear regression for detection limits, and DFT calculations for molecular orbitals and bond orders.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
