Zhang, Chuangqiang, Liang, Zejia ORCID: https://orcid.org/0009-0000-4326-7635, Lei, Yu, Huang, Yanming, Pan, Gang ORCID: https://orcid.org/0000-0003-0920-3018 and Li, Yubin ORCID: https://orcid.org/0000-0001-8886-5268 (2025) Silver Nanoclusters Functionalized Entropy-Driven Catalytic Amplification for the Sensitive and Efficient Detection of 3,3',4,4'-Tetrachlorobiphenyl in Environmental Samples. Journal of Environmental Chemical Engineering, 13 (4). p. 117361.

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Abstract

The accurate monitoring of 3,3',4,4'-Tetrachlorobiphenyl (PCB77) concentrations in environmental samples is essential for effective environmental protection, public health, and ecological conservation. This study focuses on developing a label-free biosensor for sensitive detection of PCB77 using silver nanoclusters functionalized entropy-driven catalytic (SN-EDC). The signal output is achieved through a chain substitution reaction that occurs in parallel with nucleic acid amplification, enabling efficient signal amplification and sensitive detection of PCB77. The detection limit of this method for PCB77 is 0.96ng/L, which is significantly lower than that of traditional detection methods. The detection range of this method is 0.96 - 15ng/L. Additionally, the application of this method to sediment analysis in the Beibu Gulf demonstrated comparable accuracy to conventional Gas Chromatography-Mass Spectrometry (GC-MS), while offering substantial practical advantages, including reduced operational costs and faster analytical throughput. Precision, as measured by SN-EDC, yielded relative standard deviations (RSD) ranging from 2.25% to 5.08%, further validating the method's reliability. Furthermore, the analysis of sediment samples from the Beibu Gulf using this method revealed significantly higher PCB77 concentrations in samples collected near the industrial coastline. This finding underscores the substantial environmental impacts of discharges from industrial areas and the influence of marine transportation on the surrounding environment. In summary, the SN-EDC biosensor exhibits superior performance in complex matrices, offering a stable, reliable, and highly sensitive tool for PCB77 detection. This innovative method provides a promising alternative to traditional analytical techniques, significantly enhancing the capabilities for environmental monitoring and public health protection.

Item Type:	Article
Status:	Published
DOI:	10.1016/j.jece.2025.117361
School/Department:	School of Science, Technology and Health
URI:	https://ray.yorksj.ac.uk/id/eprint/12103

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