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Future perspectives on aptamer for application in food authentication.
Nornazliya Mohamad1, Nur Inani Azizan1, Nur Fadhilah Khairil Mokhtar2
1Halal Products Research Institute, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
Analytical Biochemistry
|August 19, 2022
Summary
Aptamer-based biosensors offer a promising solution for rapid and sensitive food authentication, addressing limitations of current methods. This review explores aptamer applications and future directions for reliable food screening.
Area of Science:
- Food Science and Technology
- Biotechnology
- Analytical Chemistry
Background:
- Food fraudulence and contamination pose significant risks, especially for consumers with specific dietary needs.
- Existing food authentication methods exhibit limitations in sensitivity, speed, and simplicity.
- Aptamer technology, while advancing in other fields, remains underexplored for food authentication.
Purpose of the Study:
- To review the limitations of current food authentication technologies.
- To explore the application of aptamer-based biosensors for food analysis and authentication.
- To identify potential targets for aptamer selection and outline future research directions.
Main Methods:
- Comprehensive literature review on aptamer applications in food analysis.
- Discussion of existing food authentication techniques and their drawbacks.
- Projection of potential aptamer targets and selection strategies (SELEX process).
Main Results:
- Aptamer-based biosensors present a viable alternative for rapid, sensitive, and simple food screening.
- Current aptamer technologies for food authentication have specific limitations that need addressing.
- Development of food biochemical profile databases and machine learning can accelerate biomarker discovery.
Conclusions:
- Aptamer technology holds significant potential for revolutionizing food authentication processes.
- Further research is needed to optimize aptamer selection and application for robust food screening.
- Integrated approaches combining aptamers, databases, and machine learning are crucial for future advancements.

