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基于纤维素纳米纤维和银纳米粒子的比色传感器用于检测过氧化氢(HO)。

Detection of hydrogen peroxide (HO) using a colorimetric sensor based on cellulose nanowhiskers and silver nanoparticles.

机构信息

Nanotechnology National Laboratory for Agriculture, Embrapa Instrumentação, 13560-970, São Carlos, SP, Brazil; PPGQ, Department of Chemistry, Center for Exact Sciences and Technology, Federal University of São Carlos (UFSCar), 13565-905, São Carlos, SP, Brazil.

Nanotechnology National Laboratory for Agriculture, Embrapa Instrumentação, 13560-970, São Carlos, SP, Brazil.

出版信息

Carbohydr Polym. 2019 May 15;212:235-241. doi: 10.1016/j.carbpol.2019.02.053. Epub 2019 Feb 18.

DOI:10.1016/j.carbpol.2019.02.053
PMID:30832853
Abstract

Hydrogen peroxide (HO) is an important compound for several industrial sectors, but it becomes harmful to human health under high concentrations. Thus, the development of simple, low cost and fast analytical methods capable to detect and monitor HO is fundamentally important. In the present study, we report a simple route for synthesizing silver nanoparticles (AgNPs) in the presence of a nanostructured polysaccharide (cellulose nanowhiskers) to produce a hybrid material, which was employed as a colorimetric probe for HO detection. Our results revealed that AgNPs tend to experience catalytic decomposition when exposed to HO, causing a decrease of AgNPs absorption band at 410 nm in accordance with HO concentration. This decrease was linearly dependent on HO concentration (in the ranges 0.01-30 μM and 60-600 μM), yielding limits of detection of 0.014 μM and 112 μM, respectively. The easy-to-interpret HO sensor also proved to be suitable for real samples analysis even in the presence of other interfering substances.

摘要

过氧化氢(HO)是许多工业领域的重要化合物,但在高浓度下对人类健康有害。因此,开发简单、低成本和快速的分析方法来检测和监测 HO 至关重要。在本研究中,我们报告了一种在纳米结构多糖(纤维素纳米纤维)存在下合成银纳米颗粒(AgNPs)的简单途径,以生产一种杂化材料,该材料被用作 HO 检测的比色探针。我们的结果表明,AgNPs 在暴露于 HO 时容易经历催化分解,导致 AgNPs 在 410nm 处的吸收带随着 HO 浓度的降低而降低。这种减少与 HO 浓度呈线性相关(在 0.01-30μM 和 60-600μM 范围内),分别产生 0.014μM 和 112μM 的检测限。易于解释的 HO 传感器即使在存在其他干扰物质的情况下,也被证明适用于实际样品分析。

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