Dopamine detection using leaf-shaped ZnO synthesized from zinc shells of recycled batteries

IF 5.2 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Md Yeasin Pabel, Md Humayun Kabir, Md. Sanwar Hossain, Fahima Mojumder, Sourav Datta, Muhammad Shahriar Bashar and Sabina Yasmin
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Abstract

This study presents a cost-effective and sustainable method for synthesizing ZnO from electronic waste (e-waste) for the electrochemical detection of dopamine (DA) using a single metal oxide. The purity and various properties of the ZnO were confirmed using advanced techniques. The growth of ZnO clusters along the [0001] direction results in the formation of leaf-shaped ZnO with a direct band gap of 3.27 eV. Cyclic voltammetry, differential pulse voltammetry, and amperometric studies demonstrated successful DA detection at the ZnO–glassy carbon electrode in aqueous media, with an equal number of electron and proton pathways for DA oxidation. The sensor exhibited a linear response over a wide concentration range (0.01 to 100 μM), with a low limit of detection of 0.47 nM and a high sensitivity of 0.0389 A M−1. Additionally, the sensor showed high selectivity, repeatability and reproducibility with relative standard deviation of 4.80% in DA detection and proved effective in real sample analysis. These results suggest that the developed sensor holds great potential as a sensitive, practical, and cost-efficient tool for DA monitoring. Furthermore, the approach contributes to sustainable management of zinc–carbon battery waste by producing valuable ZnO.

Abstract Image

利用回收电池锌壳合成的叶状ZnO检测多巴胺
本研究提出了一种经济、可持续的方法,利用单一金属氧化物从电子废物中合成氧化锌,用于多巴胺(DA)的电化学检测。采用先进的技术对ZnO的纯度和各种性能进行了验证。ZnO团簇沿[0001]方向生长形成叶状ZnO,其直接带隙为3.27 eV。循环伏安法、差分脉冲伏安法和安培法的研究表明,在水介质中zno -玻碳电极上可以成功地检测到DA,并且具有相同数量的电子和质子氧化途径。该传感器在0.01 ~ 100 μM的宽浓度范围内具有良好的线性响应,低检测限为0.47 nM,高灵敏度为0.0389 a M−1。该传感器在DA检测中具有较高的选择性、重复性和再现性,相对标准偏差为4.80%,适用于实际样品分析。这些结果表明,所开发的传感器作为一种灵敏、实用、经济的DA监测工具具有很大的潜力。此外,该方法通过生产有价值的ZnO,有助于锌碳电池废物的可持续管理。
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来源期刊
Materials Advances
Materials Advances MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
7.60
自引率
2.00%
发文量
665
审稿时长
5 weeks
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