阿奇霉素
适体
选择(遗传算法)
荧光
体外
纳米技术
计算生物学
生物
材料科学
微生物学
计算机科学
分子生物学
遗传学
人工智能
抗生素
物理
光学
作者
Tianyu Huang,Xin Chen,Jinri Chen,Yuting Zhang,Xiaoli Wang,Zhimeng Wu,Nandi Zhou
标识
DOI:10.1016/j.snb.2024.135789
摘要
Azithromycin can effectively inhibit bacterial protein synthesis and reduce biofilm formation and quorum sensing, and thus has been preferentially used in the treatment of various infections. However, azithromycin is also among the most highly concentrated antibiotics present in wastewater due to the inappropriate use and treatment. In order to sensitively and rapidly monitor the azithromycin residues, aptamers specific to azithromycin were selected through 12 rounds of screening by using magnetic beads-SELEX (MB-SELEX). The screened aptamers were assessed for their affinity and specificity using fluorescent assay. Apt3 emerged as the optimal candidate aptamer with the dissociation constant (Kd) of 235.07 nM. After secondary structure analysis and molecular docking, Apt3 was systematically truncated and subjected to single-base mutations. The optimal aptamer Apt3–27 T was identified, exhibiting the Kd value of 215.84 nM and the improved specificity compared to the original aptamer. Then Apt3–27 T was utilized to construct a ratiometric fluorescent aptasensor, which exhibited the linear dynamic range of 25–400 nM and low detection limit of 9.78 nM. More importantly, the ratiometric fluorescence mechanism further improved the specificity of the biosensor, which finally can discriminate azithromycin from structurally similar erythromycin. Evaluation experiments using actual samples spiked with azithromycin showed the recovery ranging from 97.1% to 106% and the relative standard deviation ranging from 4.29% to 8.61%. The screened aptamer and constructed aptasensor offer the advantages of high affinity, high effectiveness and ease of use in actual sample detection, thereby displaying promising applications in the monitoring of azithromycin residues.
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