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Published on: August 16, 2016
Target-responsive vesicular nanoprobe for fluorescent detection of lipase
Sixuan Cheng1, Xiaomeng Zheng1, Ziming Li1
1College of Chemical Engineering, Huaqiao University, Xiamen, 361021, China.
A new fluorescent nanoprobe detects lipase activity using hollow carbon nitride nanoparticles and a responsive polymer. This system offers sensitive and selective enzyme monitoring in real-world samples.
Area of Science:
- Nanomaterials Science
- Biotechnology
- Analytical Chemistry
Background:
- Developing sensitive and selective biosensors is crucial for monitoring enzyme activity.
- Carbon nitride nanomaterials offer unique properties for sensing applications.
- Enzyme-responsive materials can provide signal amplification and specific detection.
Purpose of the Study:
- To develop a novel fluorescent vesicular nanoprobe for sensitive lipase activity monitoring.
- To leverage the synergistic properties of hollow mesoporous carbon nitride nanoparticles and lipase-responsive polymers.
- To establish a "signal-on" detection mechanism for quantitative enzyme detection.
Main Methods:
- Fabrication of nitrogen-deficient hollow mesoporous carbon nitride nanoparticles (HMCNx) via hydrothermal treatment.
- Encapsulation of rhodamine B (RhB) within HMCNx and conjugation with lipase-responsive poly(ε-caprolactone)-poly(ethylene glycol) (PCL-PEG).
- Self-assembly of the components into a vesicular nanoprobe for fluorescence-based lipase detection.
Main Results:
- The nanoprobe exhibited a low detection limit of 0.5 mU mL⁻¹ and a broad linear range (0.5 to 5 U mL⁻¹).
- Demonstrated high selectivity against common interfering enzymes like trypsin and α-amylase.
- Successfully applied to detect lipase activity in real samples, including milk and skin toner.
Conclusions:
- The developed fluorescent nanoprobe provides a sensitive, selective, and practical platform for lipase activity monitoring.
- This work advances the application of carbon nitride-based nanomaterials in biosensing.
- The enzyme-responsive detection strategy holds promise for various diagnostic and analytical applications.
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