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用刺蒴麻叶提取物绿色合成氧化锌纳米颗粒用于抗菌和抗氧化应用,以及利用卷积神经网络催化降解染料。

Green synthesis of zinc oxide nanoparticles from Sida acuta leaf extract for antibacterial and antioxidant applications, and catalytic degradation of dye through the use of convolutional neural network.

作者信息

Du Jiang, Al-Huqail Arwa, Cao Yan, Yao Hui, Sun Yiding, Garaleh Mazen, El Sayed Massoud Ehab, Ali Elimam, Assilzadeh Hamid, Escorcia-Gutierrez José

机构信息

School of Mechatronic Engineering, Xi'an Technological University, Xi'an, 710021, China.

Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.

出版信息

Environ Res. 2024 Oct 1;258:119204. doi: 10.1016/j.envres.2024.119204. Epub 2024 May 25.

DOI:10.1016/j.envres.2024.119204
PMID:38802033
Abstract

This study synthesized zinc oxide nanoparticles (ZnO NPs) using a novel green approach, with Sida acuta leaf extract as a capping and reducing agent to initiate nucleation and structure formation. The innovation of this study lies in demonstrating the originality of utilizing zinc oxide nanoparticles for antibacterial action, antioxidant potential, and catalytic degradation of Congo red dye. This unique approach harnesses eco-friendly methods to initiate nucleation and structure formation. The synthesized nanoparticles' structure and conformation were characterized using UV-vis (λ = 280 nm), X-ray, atomic force microscopy, SEM, HR-TEM and FTIR. The antibacterial activity of the Nps was tested against Pseudomonas sp, Klebsiella sp, Staphylococcus aureus, and E. coli, demonstrating efficacy. The nanoparticles exhibited unique properties, with a crystallite size of 20 nm (XRD), a surface roughness of 2.5 nm (AFM), and a specific surface area of 60 m/g (SEM). A Convolutional Neural Network (CNN) was effectively employed to accurately classify and analyze microscopic images of green-synthesized zinc oxide nanoparticles. This research revealed their exceptional antioxidant potential, with an average DPPH scavenging rate of 80% at a concentration of 0.05 mg/mL. Additionally, zeta potential measurements indicated a stable net negative surface charge of approximately -12.2 mV. These quantitative findings highlight the promising applications of green-synthesized ZnO NPs in healthcare, materials science, and environmental remediation. The ZnO nanoparticles exhibited catalytic capabilities for dye degradation, and the degradation rate was determined using UV spectroscopy. Key findings of the study encompass the green synthesis of versatile zinc oxide nanoparticles, demonstrating potent antibacterial action, antioxidant capabilities, and catalytic dye degradation potential. These nanoparticles offer multifaceted solutions with minimal environmental impact, addressing challenges in various fields, from healthcare to environmental remediation.

摘要

本研究采用一种新型绿色方法合成氧化锌纳米颗粒(ZnO NPs),以刺蒴麻叶提取物作为封端剂和还原剂来引发成核和结构形成。本研究的创新之处在于展示了利用氧化锌纳米颗粒进行抗菌作用、抗氧化潜力以及催化降解刚果红染料的独创性。这种独特方法采用环保方法来引发成核和结构形成。使用紫外可见光谱(λ = 280 nm)、X射线、原子力显微镜、扫描电子显微镜、高分辨透射电子显微镜和傅里叶变换红外光谱对合成的纳米颗粒的结构和构象进行了表征。测试了纳米颗粒对假单胞菌属、克雷伯菌属、金黄色葡萄球菌和大肠杆菌的抗菌活性,证明了其有效性。这些纳米颗粒表现出独特的性质,微晶尺寸为20纳米(X射线衍射),表面粗糙度为2.5纳米(原子力显微镜),比表面积为60平方米/克(扫描电子显微镜)。有效利用卷积神经网络(CNN)对绿色合成的氧化锌纳米颗粒的微观图像进行准确分类和分析。本研究揭示了它们具有卓越的抗氧化潜力,在浓度为0.05毫克/毫升时平均二苯基苦味酰基自由基(DPPH)清除率为80%。此外,zeta电位测量表明其表面净负电荷稳定,约为 -12.2毫伏。这些定量研究结果突出了绿色合成的ZnO NPs在医疗保健、材料科学和环境修复方面的广阔应用前景。ZnO纳米颗粒表现出染料降解的催化能力,并使用紫外光谱法测定了降解速率。该研究的主要发现包括多功能氧化锌纳米颗粒的绿色合成,证明了其强大的抗菌作用、抗氧化能力和催化染料降解潜力。这些纳米颗粒提供了多方面的解决方案,对环境影响最小,解决了从医疗保健到环境修复等各个领域的挑战。

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