研究目的
To design and synthesize new benzimidazole derivatives for selective and sensitive detection of Cu2+ ions using fluorescence quenching, and to apply it in cellular bioimaging.
研究成果
Compound L is a highly selective and sensitive fluorescence chemosensor for Cu2+ ions with a low detection limit and fast response. It forms a 1:1 complex with Cu2+ via static quenching and is effective for detecting Cu2+ in water samples and living cells, showing potential for environmental and biological applications.
研究不足
The chemosensor L is only selective for Cu2+ in pure acetonitrile solution; in other solvents like ethanol or mixed buffers, it responds to multiple metal ions without selectivity. The detection is limited to in vitro and cellular environments, and may not be directly applicable to complex biological samples without further optimization.
1：Experimental Design and Method Selection:
Designed and synthesized two benzimidazole derivatives (L and A) with different molecular structures (linear and bent-type) to study their fluorescence response to metal ions. Used esterification reactions and characterized compounds using NMR, mass spectrometry, IR, and DFT calculations.
2：Sample Selection and Data Sources:
Prepared stock solutions of compounds L and A in various solvents (acetonitrile, ethanol, etc.) and metal ion solutions from inorganic salts. Used HepG2 cells for bioimaging experiments.
3：List of Experimental Equipment and Materials:
Instruments included Agilent mass spectrometer, Varian NMR spectrometer, Varian fluorescence spectrophotometer, Varian UV-visible spectrophotometer, Olympus confocal microscope, Mettler pH meter. Materials included reagents from Aladdin and Sinopharm, various metal salts, solvents like acetonitrile and ethanol.
4：Experimental Procedures and Operational Workflow:
Synthesized compounds via esterification, prepared solutions, measured absorbance and fluorescence spectra upon addition of metal ions, conducted titration experiments, performed Job's plot, mass spectra, IR, NMR titration, DFT calculations, Stern-Volmer analysis, recovery experiments in water samples, and cell imaging with HepG2 cells.
5：Data Analysis Methods:
Analyzed data using Benesi-Hildebrand plot for binding constant, Stern-Volmer plots for quenching mechanism, linear calibration for detection limit, and statistical methods for recovery and RSD.
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