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Cell-free Biochemical Fluorometric Enzymatic Assay for High-throughput Measurement of Lipid Peroxidation in High Density Lipoprotein
Published on: October 12, 2017
Molecularly "wired" cholesterol oxidase for biosensing
Mihaela D Leonida1, Benedict Aurian-Blajeni
1Fairleigh Dickinson University, Metropolitan Campus, 1000 River Rd., Teaneck, NJ, 07666, USA, mleonida@fdu.edu.
This study developed an environmentally friendly method to modify cholesterol oxidase (ChOx) using ionic liquids and flavin adenine dinucleotide (FAD) for enhanced biosensor performance. The modified enzyme retained activity and stability, improving cholesterol detection.
Area of Science:
- Biochemistry
- Enzyme Engineering
- Biosensor Technology
Background:
- Cholesterol oxidase (ChOx) activity is crucial for biosensor applications.
- Modifying enzymes can enhance their stability and performance.
- Ionic liquids offer a greener alternative for chemical modifications.
Purpose of the Study:
- To investigate the influence of room temperature ionic liquids (RTILs) and flavin adenine dinucleotide (FAD) on cholesterol oxidase (ChOx) activity.
- To develop a molecular wiring strategy for ChOx using RTILs and FAD.
- To evaluate the performance of the modified enzyme (ME) in an amperometric cholesterol biosensor.
Main Methods:
- Transient exposure of ChOx to RTILs with varying FAD presence, water content, and FAD:RTIL ratios.
- Spectrophotometric measurement of enzyme activity before and after modification.
- Amperometric detection of cholesterol using the ME in a biosensor setup.
Main Results:
- The RTIL-based modification procedure, incorporating FAD, was enzyme- and environmentally-friendly.
- The modified enzyme (ME) retained a significant portion of FAD and initial activity.
- The ME demonstrated catalytic activity, linearity, and stability in cholesterol detection via amperometric biosensing.
Conclusions:
- FAD incorporation during RTIL exposure acts as a molecular wire, enhancing electron transfer.
- The developed molecular wiring technique offers a stable and efficient method for cholesterol biosensor development.
- This approach provides a greener and potentially more effective way to engineer enzymes for biosensing applications.
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