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Colorimetric determination of phenolic compounds using peroxidase mimics based on biomolecule-free hybrid nanoflowers consisting of graphitic carbon nitride and copper
Microchimica Acta ( IF 5.3 ) Pub Date : 2021-08-07 , DOI: 10.1007/s00604-021-04937-4
Thinh Viet Dang 1 , Nam Su Heo 2 , Hye-Jin Cho 3 , Sang Moon Lee 2 , Min Young Song 3 , Hae Jin Kim 2 , Moon Il Kim 1
Affiliation  

Hybrid nanoflowers consisting of graphitic carbon nitride (GCN) and copper were successfully constructed without the involvement of any biomolecule, by simply mixing them at room temperature to induce proper self-assembly to achieve a flower-like morphology. The resulting biomolecule-free GCN-copper hybrid nanoflowers (GCN-Cu NFs) exhibited an apparent peroxidase-mimicking activity, possibly owing to the synergistic effect from the coordination of GCN and copper, as well as their large surface area, which increased the number of catalytic reaction sites. The peroxidase-mimicking GCN-Cu NFs were then employed in the colorimetric determination of selected phenolic compounds hydroquinone (HQ), methylhydroquinone (MHQ), and catechol (CC). For samples without phenolic compounds, GCN-Cu NFs catalyzed the oxidation of the peroxidase substrate 3,3′,5,5′-tetramethylbenzidine (TMB) in the presence of H2O2, producing an intense blue color signal. Conversely, in the presence of phenolic compounds, the oxidation of TMB was inhibited, resulting in a significant reduction of the color signal. Using this strategy, HQ, MHQ, and CC were selectively and sensitively determined in a linear range up to 100 μM with detection limits down to 0.82, 0.27, and 0.36 μM, respectively. The practical utility of this assay system was also validated by using it to detect phenolic compounds spiked in tap water, yielding a good recovery of 97.1–108.9% and coefficient of variation below 3.0%, demonstrating the excellent reliability and reproducibility of this strategy.

Graphical abstract



中文翻译:

使用基于由石墨氮化碳和铜组成的无生物分子杂化纳米花的过氧化物酶模拟物比色测定酚类化合物

由石墨氮化碳(GCN)和铜组成的混合纳米花在没有任何生物分子参与的情况下成功构建,通过在室温下简单地混合它们以诱导适当的自组装以实现花状形态。由此产生的无生物分子 GCN-铜杂化纳米花 (GCN-Cu NFs) 表现出明显的过氧化物酶模拟活性,可能是由于 GCN 和铜的配位协同作用,以及它们的大表面积,增加了数量催化反应位点。然后将模拟过氧化物酶的 GCN-Cu NF 用于比色测定选定的酚类化合物氢醌 (HQ)、甲基氢醌 (MHQ) 和儿茶酚 (CC)。对于不含酚类化合物的样品,GCN-Cu NFs 催化过氧化物酶底物 3,3',5 的氧化,2 O 2,产生强烈的蓝色信号。相反,在酚类化合物的存在下,TMB 的氧化被抑制,导致颜色信号显着降低。使用这种策略,HQ、MHQ 和 CC 在高达 100 μM 的线性范围内被选择性和灵敏地确定,检测限分别低至 0.82、0.27 和 0.36 μM。该测定系统的实用性也通过使用它来检测自来水中添加的酚类化合物得到验证,回收率为 97.1-108.9%,变异系数低于 3.0%,证明了该策略的出色可靠性和重现性。

图形概要

更新日期:2021-08-07
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