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A new ultrasonic triboelectric catalytic amplification strategy for SERS determination of trace nonylphenol in milk with dual nanosurface COF probes
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作者 Zhiqiang Wang Chenguang Yi +2 位作者 Guiqing Wen Aihui Liang Zhiliang Jiang 《Food Bioscience》 2025年第6期4625-4636,共12页
Two new nanosurface molecularly imprinted covalent organic framework nanoprobes(MICOF)with recognition and catalytic amplification di-functions for the detection of trace endocrine disruptor nonylphenol(NPN)in milk we... Two new nanosurface molecularly imprinted covalent organic framework nanoprobes(MICOF)with recognition and catalytic amplification di-functions for the detection of trace endocrine disruptor nonylphenol(NPN)in milk were synthesized,gold nanocluster(AuNC)/nanopolyvinylchloride(PVC)as substrates,NPN as the template molecule,benzidine and 2,4,6-triformylphloroglucinol as the functional monomers.The di-nanoprobes efficiently catalyzed a new indicator nanoreaction between HAuCl4 and triethanolamine to generate gold nanoparticles(AuNPs)with SERS effect.Surprisingly,under ultrasonic irradiation,the di-nanoprobes exhibited extremely strong catalysis,due to the triboelectric nanogenerator(TENG)constructed.The AuNC@COF was positive and the PVC@COF was negative,with an increase in catalytic activity of 680%.When NPN was added,it was selectively adsorbed in the nanoprobe imprinted sites,further enhancing catalysis.The working curve slope was increased by 2000%,with a linear range of 0.2–10 nmol/L and limit of detection(LOD)was 0.060 nmol/L NPN.The method was applied to the determination of milk with relative deviations(RSD)of 0.97–9.6%and recovery of 90.4–109.8%.In addition,this new SERS quantitative analysis method was also used to determine phenol,bisphenol A and 1-naphthol with LOD were 0.080,0.060 and 0.12 nmol/L respectively,which proved that it is of universality and high sensitivity.The ultrasonic driven MICOF di-probe TENG catalytic enhancement mechanism was constructed. 展开更多
关键词 MICOF difunctional probe ultrasonic-driven TENG Nonylphenol SERS quantitative analysis
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