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基于纸基的酚类神经递质可视化检测和染料快速降解的过氧化物酶模拟 Mn-Cu 杂化纳米花

Laccase-mimicking Mn-Cu hybrid nanoflowers for paper-based visual detection of phenolic neurotransmitters and rapid degradation of dyes.

机构信息

Department of BioNano Technology, Gachon University, 1342 Seongnamdae-ro, Sujeong-gu, Seongnam, 13120, Gyeonggi, Republic of Korea.

出版信息

J Nanobiotechnology. 2022 Aug 2;20(1):358. doi: 10.1186/s12951-022-01560-0.

Abstract

BACKGROUND

Laccase-based biosensors are efficient for detecting phenolic compounds. However, the instability and high cost of laccases have hindered their practical utilization.

RESULTS

In this study, we developed hierarchical manganese dioxide-copper phosphate hybrid nanoflowers (H-Mn-Cu NFs) as excellent laccase-mimicking nanozymes. To synthesize the H-Mn-Cu NFs, manganese dioxide nanoflowers (MnO NFs) were first synthesized by rapidly reducing potassium permanganate using citric acid. The MnO NFs were then functionalized with amine groups, followed by incubation with copper sulfate for three days at room temperature to drive the coordination interaction between the amine moieties and copper ions and to induce anisotropic growth of the petals composed of copper phosphate crystals, consequently yielding H-Mn-Cu NFs. Compared with those of free laccase, at the same mass concentration, H-Mn-Cu NFs exhibited lower K (~ 85%) and considerably higher V (~ 400%), as well as significantly enhanced stability in the ranges of pH, temperature, ionic strength, and incubation periods evaluated. H-Mn-Cu NFs also catalyzed the decolorization of diverse dyes considerably faster than the free laccase. Based on these advantageous features, a paper microfluidic device incorporating H-Mn-Cu NFs was constructed for the convenient visual detection of phenolic neurotransmitters, including dopamine and epinephrine. The device enabled rapid and sensitive quantification of target neurotransmitters using an image acquired using a smartphone.

CONCLUSIONS

These results clearly show that H-Mn-Cu NFs could be potential candidates to replace natural laccases for a wide range of applications in biosensing, environmental protection, and biotechnology.

摘要

背景

基于漆酶的生物传感器可有效检测酚类化合物。然而,漆酶的不稳定性和高成本限制了其实际应用。

结果

本研究开发了分级二氧化锰-磷酸铜杂化纳米花(H-Mn-Cu NF)作为优异的漆酶模拟纳米酶。为了合成 H-Mn-Cu NF,首先使用柠檬酸快速还原高锰酸钾合成二氧化锰纳米花(MnO NF)。然后,MnO NF 用胺基官能化,然后在室温下与硫酸铜孵育三天,以驱动胺部分与铜离子之间的配位相互作用,并诱导由磷酸铜晶体组成的花瓣的各向异性生长,从而得到 H-Mn-Cu NF。与游离漆酶相比,在相同的质量浓度下,H-Mn-Cu NF 表现出更低的 K(85%)和显著更高的 V(400%),以及在评估的 pH 值、温度、离子强度和孵育时间范围内显著增强的稳定性。H-Mn-Cu NF 还显著加快了对各种染料的脱色作用,比游离漆酶快得多。基于这些有利的特征,构建了包含 H-Mn-Cu NF 的纸微流控装置,用于方便地可视化检测酚类神经递质,包括多巴胺和肾上腺素。该装置使用智能手机获取的图像,可实现对目标神经递质的快速灵敏定量。

结论

这些结果清楚地表明,H-Mn-Cu NF 可能是替代天然漆酶的潜在候选物,可广泛应用于生物传感、环境保护和生物技术领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf79/9344716/f6bfb97a03c7/12951_2022_1560_Fig1_HTML.jpg

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