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基于具有过氧化物酶样活性的血红素-石墨烯杂化纳米粒子的酚类的分光光度分析。

Spectrophotometric analysis of phenols, which involves a hemin-graphene hybrid nanoparticles with peroxidase-like activity.

机构信息

State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China; Department of Chemistry, Nanchang University, Nanchang 330031, China.

Department of Chemistry, Nanchang University, Nanchang 330031, China.

出版信息

J Hazard Mater. 2014 Feb 15;266:60-7. doi: 10.1016/j.jhazmat.2013.12.006. Epub 2013 Dec 13.

Abstract

Phenols are well known noxious compounds, which are often found in various water sources. A novel analytical method has been researched and developed based on the properties of hemin-graphene hybrid nanosheets (H-GNs). These nanosheets were synthesized using a wet-chemical method, and they have peroxidase-like activity. Also, in the presence of H2O2, the nanosheets are efficient catalysts for the oxidation of the substrate, 4-aminoantipine (4-AP), and the phenols. The products of such an oxidation reaction are the colored quinone-imines (benzodiazepines). Importantly, these products enabled the differentiation of the three common phenols - pyrocatechol, resorcin and hydroquinone, with the use of a novel, spectroscopic method, which was developed for the simultaneous determination of the above three analytes. This spectroscopic method produced linear calibrations for the pyrocatechol (0.4-4.0 mg L(-1)), resorcin (0.2-2.0 mg L(-1)) and hydroquinone (0.8-8.0 mg L(-1)) analytes. In addition, kinetic and spectral data, obtained from the formation of the colored benzodiazepines, were used to establish multi-variate calibrations for the prediction of the three phenol analytes found in various kinds of water; partial least squares (PLS), principal component regression (PCR) and artificial neural network (ANN) models were used and the PLS model performed best.

摘要

酚类是众所周知的有害化合物,经常存在于各种水源中。本研究基于血红素-石墨烯杂化纳米片(H-GNs)的特性,开发了一种新的分析方法。这些纳米片是通过湿化学方法合成的,具有过氧化物酶样活性。此外,在 H2O2 存在的情况下,纳米片是 4-氨基安替比林(4-AP)和酚类底物氧化的有效催化剂。这种氧化反应的产物是有色的醌亚胺(苯并二氮杂)。重要的是,这些产物使三种常见的酚类物质——邻苯二酚、间苯二酚和对苯二酚能够通过一种新的、光谱方法来区分,该方法是为同时测定上述三种分析物而开发的。该光谱方法对邻苯二酚(0.4-4.0 mg L(-1))、间苯二酚(0.2-2.0 mg L(-1))和对苯二酚(0.8-8.0 mg L(-1))分析物产生了线性校准。此外,从有色苯并二氮杂形成获得的动力学和光谱数据用于建立多元校准,以预测各种水样中的三种酚类分析物;使用了偏最小二乘法(PLS)、主成分回归(PCR)和人工神经网络(ANN)模型,其中 PLS 模型表现最好。

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