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MT-I/AuNP-Based Fiber-Optic SPR Biosensor for Ultralow Limit Triglyceride Detection and On-Site Hydrolysis
Jun Wu1, Meijuan Jia1, Anhua Dong1
1College of Optical and Electronic Technology, China Jiliang University, Hangzhou, Zhejiang 310018, China.
This study introduces a novel biosensor for ultrasensitive triglyceride detection and hydrolysis using a functionalized fiber optic. The innovative "protein-nanoparticle-enzyme" system achieves rapid response and surpasses previous detection limits.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Biochemistry
Background:
- Triglyceride (TG) is a key biomarker in lipid metabolism, crucial for health management.
- Accurate, trace-level detection and understanding of TG hydrolytic processes are essential.
- Existing detection methods often lack the sensitivity and on-site capabilities required.
Purpose of the Study:
- To develop a novel biosensor for rapid and ultrasensitive detection of triglycerides (TG).
- To enable on-site hydrolysis of TG using an integrated enzymatic approach.
- To create a synergistic sensing system combining protein-nanoparticle-enzyme functionalities.
Main Methods:
- Functionalization of a tilted fiber Bragg grating (TFBG) with a composite layer: Au-MT-I/AuNPs/lipase.
- Utilizing Au-S bond self-assembly for thiol group immobilization of metallothionein-I (MT-I).
- Employing EDC/NHS chemistry for covalent linkage of AuNPs-NH2 and lipase via amide bonds.
Main Results:
- Achieved ultrasensitive TG detection with a sensitivity of 0.346 dB/lg(mM) and a low limit of detection (LOD) of 4.192 μM.
- Demonstrated on-site hydrolysis of TG into glycerol and free fatty acids catalyzed by immobilized lipase.
- The sensor surpassed previous detection limits by over 4 orders of magnitude.
Conclusions:
- The developed dual-functional biosensor offers a novel platform for TG detection and enzymatic reaction monitoring.
- The "protein-nanoparticle-enzyme" synergistic system provides a valuable reference for future biosensor design.
- This approach enables rapid response and ultrasensitive detection, crucial for human health management.
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