ZnO源溶液的工程技术表征及其与芦荟提取物的数据分析效果

Neha Verma , Manik Rakhra , Mohammed Wasim Bhatt , Urvashi Garg
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引用次数: 10

摘要

人口的增长导致了与环境相关的问题。氧化锌作为一种多功能的智能功能材料,受到了广泛的关注。在最近的论文中,我们观察了不同前驱体(0.45 M -二水合乙酸锌、六水合硝酸锌)和芦荟提取物氧化锌纳米粒子在形状和尺寸上的变化,数据分析是在650°C下退火制备的。用简单溶液法对制备的溶液进行分析。结构、形态、光学和电学性质定义了某些纳米材料。XRD谱图显示为多晶。对于硝酸锌,发现了更多的实例峰,扫描电镜显示粒径下降到50-90 nm范围内。通过红外光谱分析对矿物成分进行了分类。进一步的电容水平是在低尺度下测量的。ZnO纳米粒子的电阻率谱范围为3×10−2 ~ 5×10−2(单位cm)−1。合成的纳米粒子的光学带隙在3.10 ~ 3.20 eV范围内,证实了纳米粒子适合于气体传感器和太阳能电池的应用。这些合成的纳米颗粒可以进一步用于神经科学的应用,如医疗器械的制造和医疗目的。反过来,这些材料有助于新的诊断和治疗策略,包括药物输送,神经保护,神经再生,神经成像和神经外科。
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Engineering technology characterization of source solution for ZnO and their data analytics effect with aloe vera extract

Increased population has led to create the environmental related issues. Zinc Oxide has great attention due to its application in versatile smart and functional material. In the recent paper, we have observed the variation in shape and size for different precursor (0.45 M - Zn acetate dihydrate, Zn nitrate hexahydrate) with aloe vera extract ZnO nanoparticles, data analytics have been prepared with annealing at 650 C. The prepared solution was analyzed by using simple solution method. Structural, morphological, optical and electrical properties defined certain nanomaterials. XRD spectra showed polycrystalline in nature. In the case of Zn nitrate, more instance peaks are found and SEM reveals the particle size drop into a range of 50-90 nm. Analysis of FTIR was conducted to classify the mineral constituents. The further capacitance levels are measured at a low scale. The resistivity spectrum of ZnO nanoparticles ranged from 3×102 to 5×102 (in cm)−1. Optical band gap of the synthesized particles lies in the range of 3.10-3.20 eV, which confirmed that nanoparticles are suitable for gas sensor and solar cell applications. These synthesized nanoparticles can further be used for the neuroscience application such as fabrication of medical instruments and for medical purpose too. In turn, these materials contribute to novel diagnostic and therapeutic strategies, including drug delivery, neuroprotection, neural regeneration, neuroimaging and neurosurgery.

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来源期刊
Neuroscience informatics
Neuroscience informatics Surgery, Radiology and Imaging, Information Systems, Neurology, Artificial Intelligence, Computer Science Applications, Signal Processing, Critical Care and Intensive Care Medicine, Health Informatics, Clinical Neurology, Pathology and Medical Technology
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