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L-arginine biosensors: A comprehensive review
Neelam Verma1, Ashish Kumar Singh1, Minni Singh2
1Biosensor Technology Lab, Department of Biotechnology, Punjabi University, Patiala 147002, India.
Biochemistry and Biophysics Reports
|November 22, 2017
Summary
Arginine, a vital molecule, requires precise detection in fermented foods to prevent harmful ethyl carbamate formation. Biosensors offer a sensitive method for arginine analysis, crucial for food quality and clinical applications.
Area of Science:
- Biochemistry
- Food Science
- Analytical Chemistry
Background:
- Arginine, known as the "Miracle Molecule," possesses significant healing properties and plays crucial roles in human physiology, including nitric oxide synthesis and tumor growth.
- Accurate detection of L-arginine in fermented products like wine is essential for quality control, as high levels can lead to the formation of toxic ethyl carbamate (EC).
Purpose of the Study:
- To review the physiological and food-related significance of arginine.
- To discuss various techniques for arginine detection, with a focus on biosensor development and performance factors.
- To highlight challenges in current arginine detection methods, such as selectivity and real-time analysis.
Main Methods:
- Review of existing literature on arginine detection techniques.
- Analysis of biosensor technologies for arginine quantification.
- Discussion of transducer types used in arginine biosensors (optical, electrochemical, etc.).
Main Results:
- Biosensor technology provides rapid, sensitive, and specific methods for arginine detection.
- Ammonia formation is a key indicator in many arginine biosensor designs.
- Challenges remain in achieving real-time analysis and overcoming interference from compounds like urea.
Conclusions:
- Arginine detection is critical for both food safety (preventing EC) and clinical diagnostics.
- Advancements in biosensor technology are crucial for improving the accuracy and efficiency of arginine monitoring.
- Further research is needed to address limitations in selectivity and real-time capabilities of arginine biosensors.

