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Generating robust aptamers for food analysis by sequence-based configuration optimization.
- Source :
-
Talanta . Aug2024, Vol. 275, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- Advanced analytical techniques are emerging in the food industry. Aptamer-based biosensors achieve rapid and highly selective analysis, thus drawing particular attention. Aptamers are oligonucleotide probes screened via in vitro Systematic Evolution of Ligands by EXponential Enrichment (SELEX), which can bind with their specific targets by folding into three-dimensional configurations and accept various modifications to be incorporated into biosensors, showing great potential in food analysis. Unfortunately, aptamers obtained by SELEX may not possess satisfactory affinity. Post-SELEX strategies were proposed to optimize aptamers' configuration and enhance the binding affinity, with specificity confirmed. Sequence-based optimization strategies exhibit great advantages in simple operation, good generalization, low cost, etc. This review summarizes the latest study (2015–2023) on generating robust aptamers for food targets by sequence-based configuration optimization, as well as the generated aptamers and aptasensors, with an expectation to provide inspirations for developing aptamer and aptasensors with high performance for food analysis and to safeguard food quality and safety. [Display omitted] • Robust aptamer generation for food targets is of great significance. • Methods utilizing sequence-based configuration optimization were succinctly reviewed. • Performance of generated aptamers and developed aptasensors was concisely summarized. • Critical discussion and perspective of aptamer generation and application were given. [ABSTRACT FROM AUTHOR]
- Subjects :
- *STRUCTURAL optimization
*FOOD chemistry
*APTAMERS
*NUCLEIC acid probes
*FOOD safety
Subjects
Details
- Language :
- English
- ISSN :
- 00399140
- Volume :
- 275
- Database :
- Academic Search Index
- Journal :
- Talanta
- Publication Type :
- Academic Journal
- Accession number :
- 177455472
- Full Text :
- https://doi.org/10.1016/j.talanta.2024.126044