Fenton reaction-triggered colorimetric detection of phenols in water samples using unmodified gold nanoparticles

IF 5.4 2区 医学 Q2 MATERIALS SCIENCE, BIOMATERIALS
Li-pei Zhang, Yun-peng Xing, Lan-hua Liu, Xiao-hong Zhou, Han-chang Shi
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引用次数: 31

Abstract

This work demonstrates a rapid and sensitive colorimetric detection of phenols by using single-stranded DNA (ssDNA)-regulated gold nanoparticles (AuNPs) as indicators. AuNPs can be stabilized in the presence of ssDNA through electrostatic repulsion, which prevents the salt-induced aggregation of AuNPs in solution. However, hydroxyl radicals (OH) generated by the Fenton reaction can cleave the ssDNA on the nanoparticle surface into mono- or oligonucleotide fragments, disrupting AuNPs stability. Phenolic compounds are known to be capable of being degraded or oxidized by OH produced by Fenton reaction. Thus, phenols can effectively scavenge OH to avoid ssDNA cleavage, protecting AuNPs from salt-induced aggregation. The ability of phenols to scavenge OH provides a quantitative basis for phenol sensing. In this study, catechol and hydroquinone were selected as analytes and detected using the proposed ssDNA–AuNPs colorimetric probe. The detection sensitivities of the colorimetric sensor are 0.2–7.0 μM for catechol and 2.7–19 μM for hydroquinone. The proposed bioassay eliminates tedious sample pretreatment and offers favorable sensitivity and selectivity for targets in the presence of other investigated metal ions and organic molecules. The detection limits are 0.11 μM for catechol and 1.6 μM for hydroquinone, with relative standard deviations of 3.7% for catechol and 4.8% for hydroquinone. The recovery rate of catechol in real water samples ranges from 95% to 116%, confirming the application potential of the method to measure phenols in real samples.

使用未修饰金纳米颗粒的芬顿反应触发比色法检测水样中的酚类
本研究展示了利用单链DNA (ssDNA)调控的金纳米颗粒(AuNPs)作为指示剂,对酚类物质进行快速、灵敏的比色检测。在ssDNA存在的情况下,AuNPs可以通过静电斥力稳定,从而防止溶液中盐诱导的AuNPs聚集。然而,芬顿反应产生的羟基自由基(OH)可以将纳米颗粒表面的ssDNA切割成单核苷酸或寡核苷酸片段,破坏AuNPs的稳定性。已知酚类化合物能够被芬顿反应产生的OH降解或氧化。因此,酚类物质可以有效地清除OH,避免ssDNA的分裂,保护aunp免受盐诱导的聚集。苯酚清除OH的能力为苯酚传感提供了定量依据。在本研究中,选择儿茶酚和对苯二酚作为分析物,使用所提出的ssDNA-AuNPs比色探针进行检测。比色传感器对儿茶酚的检测灵敏度为0.2 ~ 7.0 μM,对苯二酚的检测灵敏度为2.7 ~ 19 μM。提出的生物测定法消除了繁琐的样品预处理,并且在其他被研究的金属离子和有机分子存在的情况下,对目标提供了良好的灵敏度和选择性。邻苯二酚和对苯二酚的检出限分别为0.11 μM和1.6 μM,相对标准偏差分别为3.7%和4.8%。实际水样中儿茶酚的回收率为95% ~ 116%,证实了该方法在实际水样中测定酚类物质的应用潜力。
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来源期刊
ACS Biomaterials Science & Engineering
ACS Biomaterials Science & Engineering Materials Science-Biomaterials
CiteScore
10.30
自引率
3.40%
发文量
413
期刊介绍: ACS Biomaterials Science & Engineering is the leading journal in the field of biomaterials, serving as an international forum for publishing cutting-edge research and innovative ideas on a broad range of topics: Applications and Health – implantable tissues and devices, prosthesis, health risks, toxicology Bio-interactions and Bio-compatibility – material-biology interactions, chemical/morphological/structural communication, mechanobiology, signaling and biological responses, immuno-engineering, calcification, coatings, corrosion and degradation of biomaterials and devices, biophysical regulation of cell functions Characterization, Synthesis, and Modification – new biomaterials, bioinspired and biomimetic approaches to biomaterials, exploiting structural hierarchy and architectural control, combinatorial strategies for biomaterials discovery, genetic biomaterials design, synthetic biology, new composite systems, bionics, polymer synthesis Controlled Release and Delivery Systems – biomaterial-based drug and gene delivery, bio-responsive delivery of regulatory molecules, pharmaceutical engineering Healthcare Advances – clinical translation, regulatory issues, patient safety, emerging trends Imaging and Diagnostics – imaging agents and probes, theranostics, biosensors, monitoring Manufacturing and Technology – 3D printing, inks, organ-on-a-chip, bioreactor/perfusion systems, microdevices, BioMEMS, optics and electronics interfaces with biomaterials, systems integration Modeling and Informatics Tools – scaling methods to guide biomaterial design, predictive algorithms for structure-function, biomechanics, integrating bioinformatics with biomaterials discovery, metabolomics in the context of biomaterials Tissue Engineering and Regenerative Medicine – basic and applied studies, cell therapies, scaffolds, vascularization, bioartificial organs, transplantation and functionality, cellular agriculture
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