Transformation of zinc acetate into ZnO nanofibers for enhanced NOx gas sensing: Cost-effective strategies and additive-free optimization

IF 2.2 4区 工程技术 Q1 MATERIALS SCIENCE, TEXTILES Journal of Industrial Textiles Pub Date : 2024-09-10 DOI:10.1177/15280837241281519
Niloufar Khomarloo, Roohollah Bagherzadeh, Hayriye Gidik, Elham Mohsenzadeh, Masoud Latifi, Marc Debliquy, Ahmadou Ly, Driss Lahem
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Abstract

Gas sensors based on ZnO nanocomposites have been widely investigated for the detection of various gases. However, few studies have reported electrospun ZnO for NOx gases, especially NO (nitrogen monoxide), due to its high tendency for oxidation upon contact with air. The development of gas sensors that operate at temperatures below 300°C is challenging for metal oxide gas sensors, as decreasing the temperature can lead to lack of sensitivity and very long recovery times. In this study, the operating temperature was improved to 200°C while achieving a high response to a low concentration of 0.5 ppm gas, with recovery times of 572s and 105s for NO and NO2 (nitrogen dioxide), respectively. Detecting NO and NO2 at low ppm and ppb levels is a major demand and challenge for the development of metal oxide-based gas sensors, especially for health monitoring portable sensors. This study focuses on the design and performance of a NOx gas sensor based on ZnO nanofibrous material with precise structural optimization. The study optimizes the precursor for electrospinning without using any additives. The sensing materials proportion were optimized by changing the ratio of ZnAc:PVA in the precursor of electrospinning solution. Choosing ZnAc:PVA = 1.5 as the optimum precursor for synthesizing ZnO nanofibers resulted in the highest response of 27 and 16 (Ohm/Ohm) for 0.5 ppm NO and NO2, respectively, at 200°C and relative humidity of 50%. Additionally, reproducible sensors were developed, which is crucial for mass production. This remarkable sensitivity in low concentration indicates that the design of material structure and the control of zinc acetate amount in the electrospun solution has great practical applications to detect both gases.
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将醋酸锌转化为 ZnO 纳米纤维以增强氮氧化物气体传感:成本效益战略和无添加剂优化
基于氧化锌纳米复合材料的气体传感器已被广泛用于检测各种气体。然而,由于氧化锌在与空气接触时极易氧化,因此很少有研究报道电纺氧化锌可用于检测氮氧化物气体,尤其是一氧化氮。对于金属氧化物气体传感器来说,开发工作温度低于 300°C 的气体传感器具有挑战性,因为降低温度会导致灵敏度降低和恢复时间过长。在这项研究中,工作温度提高到了 200°C,同时实现了对 0.5 ppm 低浓度气体的高响应,对 NO 和 NO2(二氧化氮)的恢复时间分别为 572 秒和 105 秒。检测低 ppm 和 ppb 水平的 NO 和 NO2 是开发基于金属氧化物的气体传感器,尤其是用于健康监测便携式传感器的主要需求和挑战。本研究的重点是基于 ZnO 纳米纤维材料的氮氧化物气体传感器的设计和性能,并进行了精确的结构优化。该研究在不使用任何添加剂的情况下优化了电纺丝前体。通过改变电纺丝前驱体溶液中 ZnAc:PVA 的比例,优化了传感材料的比例。选择 ZnAc:PVA = 1.5 作为合成 ZnO 纳米纤维的最佳前体,在 200°C、相对湿度为 50%的条件下,对 0.5 ppm NO 和 NO2 的最高响应分别为 27 和 16(欧姆/欧姆)。此外,还开发出了可重现的传感器,这对大规模生产至关重要。低浓度下的高灵敏度表明,设计材料结构和控制电纺溶液中醋酸锌的用量对于检测这两种气体具有重要的实际应用价值。
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来源期刊
Journal of Industrial Textiles
Journal of Industrial Textiles MATERIALS SCIENCE, TEXTILES-
CiteScore
5.30
自引率
18.80%
发文量
165
审稿时长
2.3 months
期刊介绍: The Journal of Industrial Textiles is the only peer reviewed journal devoted exclusively to technology, processing, methodology, modelling and applications in technical textiles, nonwovens, coated and laminated fabrics, textile composites and nanofibers.
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