作为新型过氧化物酶模拟物的 BaTiO3-MoS2 纳米复合材料用于比色和智能手机辅助检测 H2O2

IF 2.7 4区 化学 Q2 CHEMISTRY, INORGANIC & NUCLEAR
Mohd Ali, Renuka Singh, Debanjan Guin, Chandra Shekhar Pati Tripathi
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引用次数: 0

摘要

由于过氧化氢(H2O2)浓度过高会对人体健康造成潜在危害,因此检测和监控过氧化氢(H2O2)水平对各行各业都至关重要。因此,迫切需要经济、快速、简便的分析方法来检测和监测过氧化氢。本研究介绍了一种通过机械化学方法简单合成钛酸钡(BaTiO3)和二硫化钼(MoS2)(BaTiO3/MS)纳米复合材料的方法。这种纳米复合材料具有显著的过氧化物酶样活性,能在 H2O2 的存在下催化 TMB(3,3',5,5'-四甲基联苯胺)的氧化。这种催化反应会形成一种蓝色溶液,其吸光度峰值为 652 纳米。BaTiO3/MS 的催化特性促进了吸光度的增加,从而实现了对 H2O2 的精确检测,检测限为 8.0 µM。此外,还开发了一种改良滤纸,其中包含纳米复合材料和含有 TMB 的琼脂糖凝胶。使用基于安卓智能手机的软件 Color Meter 和基于 Windows 的软件 ImageJ 观察了滤纸暴露于 H2O2 后颜色强度的变化,并以 RGB(红绿蓝)值进行量化。两个软件给出的 RGB 值几乎相似。这种基于纸张的传感器无需依赖紫外可见分光光度计,便于携带,使用方便。这项研究提出了一种新颖的光学和比色检测方法,有望推动各种分析物传感设备的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

BaTiO3-MoS2 Nanocomposite as a New Peroxidase Mimic for the Colorimetric and Smartphone-Assisted Detection of H2O2

BaTiO3-MoS2 Nanocomposite as a New Peroxidase Mimic for the Colorimetric and Smartphone-Assisted Detection of H2O2

Detecting and monitoring hydrogen peroxide (H2O2) levels is crucial across various industries due to its potential health hazards at elevated concentrations. Hence, there’s an urgent need for cost-effective, rapid, and straightforward analytical methods for H2O2 detection and monitoring. This study introduces a simple synthesis method for Barium Titanate (BaTiO3) and Molybdenum disulfide (MoS2) (BaTiO3/MS) nanocomposite via mechanochemical means. The nanocomposite exhibits remarkable peroxidase-like activity, catalyzing the oxidation of TMB (3,3’,5,5’-tetramethylbenzidine) in the presence of H2O2. This catalytic reaction results in the formation of a blue-colored solution with an absorbance peak at 652 nm. The increase in absorbance, facilitated by the catalytic properties of BaTiO3/MS enables precise detection of H2O2 with a detection limit of 8.0 µM. Furthermore, a modified filter paper incorporating the nanocomposite and agarose gel with TMB was developed. The change in color intensity of the filter paper upon exposure to H2O2 was observed and quantified in terms of RGB (Red Green Blue) values using an Android smartphone-based software Color Meter as well as Windows-based software ImageJ. Both the programs gave nearly similar RGB values. This paper-based sensor eliminates the reliance on a UV-visible spectrophotometer, making it portable and user-friendly. This study presents a novel approach for optical and colorimetric detection, with the potential to advance sensing devices for various analytes.

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来源期刊
Journal of Cluster Science
Journal of Cluster Science 化学-无机化学与核化学
CiteScore
6.70
自引率
0.00%
发文量
166
审稿时长
3 months
期刊介绍: The journal publishes the following types of papers: (a) original and important research; (b) authoritative comprehensive reviews or short overviews of topics of current interest; (c) brief but urgent communications on new significant research; and (d) commentaries intended to foster the exchange of innovative or provocative ideas, and to encourage dialogue, amongst researchers working in different cluster disciplines.
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