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Biosensors & bioelectronics · 2026

An electrochemiluminescence biosensor based on tetrahedral DNA framework anchoring covalent organic frameworks/gold nanoclusters with intra-cluster hydrogen bonding for anti-interference and ultrasensitive detection of mecA genes.

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Xing Yi, Wu Ru, Zhang Min, Cheng Faliang, Zhu Jun-Jie

Аннотация

The mecA genes pose a serious threat to human health. Their widespread detection in actual water samples is greatly hindered by their low concentration and complex matrix interference. Therefore, an electrochemiluminescence (ECL) biosensor based on a tetrahedral DNA framework (TDF) anchoring high-performance ECL luminophores is developed for ultrasensitive and anti-interference detection of mecA genes. The introduced TDF can immobilize probes that specifically recognize mecA genes and enhance the stability and durability of the biosensor. Importantly, the high-performance ECL luminophores combine ultrabright gold nanoclusters under the protection of Cys-Arg-Arg-Arg peptides and 6-aza-2-thiothymine (CR4/ATT/AuNCs, ultrahigh quantum yield), resulting in a ∼266-fold improvement in ECL intensity (compared with ATT/AuNCs). The conformational rigidity of CR4 and ATT is attributed to intra-cluster hydrogen bonds between them. This promotes ordered π-π stacking and markedly enhances the ECL quantum efficiency of CR4/ATT/AuNCs (∼3.26-fold). Benefiting from the unique nanoconfinement effect, uniformly sized covalent organic frameworks (COFs), as supporting substrates to inhibit the aggregation of CR4/ATT/AuNCs, contributes to the accumulation of reactive radicals, while its outstanding adsorption capacity efficiently increases the local concentrations of co-reactants and CR4/ATT/AuNCs to promote the decomposition of co-reactants to generate more reactive radicals. The biosensor with a low limit of detection (LOD, S/N = 3) of 0.72 fM has excellent repeatability, stability, and selectivity after further amplifying the reaction signal using catalytic hairpin assembly (CHA), achieving direct detection of mecA genes in wastewater samples.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты