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Generating robust aptamers for food analysis by sequence-based configuration optimization

delete2024-08-01
delete1
PRE
AI
K
Kaiyue Wei
Z
Ziyang Ye
董文会 封面图
董文会 (Wenhui Dong)
张
张玲 (Ling Zhang)
王
王文静 (Wenjing Wang)
李
李姣 (Jiao Li)
E
Evgeni Eltzov
王
王赛 (Sai Wang) *
X
Xiangzhao Mao
DOI:10.1016/j.talanta.2024.126044delete
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摘要

摘要

En 中文
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.
Keyword:
Aptamer
Sequence -based configuration optimization
Aptasensor
Food analysis

期刊

Talanta 封面图
Talanta
IF:
6.1
论文数:
2.6W
被引数:
6.3W

机构

O
ocean university of china
学者数:
3.1W
论文数: 2.0W
被引数: 21
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