Amplifying Effect in the Size Statistics of the Residual Particles and Its Applications in Analyzing Nanoparticle Dispersion in Polymer Nanocomposites

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Yuanyuan Zhong, Yangang Chen, Miaoya Zhang, Hao Zhang, Xiaomin Liao, Huan Jin, Jiaxin Feng and Xianan Qin*, 
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Abstract

Nanoparticle size dispersion within polymer nanocomposites is crucial for ensuring material properties and performance. Monitoring the evolution of particle size distribution during processing proves to be critical for elucidating fundamental mechanisms and optimizing manufacturing parameters. The size dispersion evaluation relies on microscopy imaging of the nanoparticles inside the polymer matrix. However, current imaging techniques face significant challenges due to resolution limitations. In this study, we introduce a method that, despite having a microscopy resolution larger than the minimal particle size, effectively assesses the evolution of nanoparticle size dispersion during the fabrication process of polymer nanocomposites. We show that this method has an amplifying effect on the observation of nanoparticles with larger size, namely, the probabilities of the “residues” of the size statistics are larger than the corresponding original probabilities. We demonstrate the utility of this method to assess the agglomeration of nanoparticles during the fabrication processes of polymer nanocomposites. We prepare zinc oxide (ZnO) nanoparticles, incorporate them into polyethylene terephthalate (PET) chips, subsequently process them into ZnO/PET composite fibers, and apply the method to inspect the whole process of the fabrication. Our findings indicate that the developed method provides a reliable evaluation of nanoparticle size dispersion across different material forms. We observed that the fabrication process from ZnO/PET chips to ZnO/PET fibers increases the degree of aggregation, whereas the step from ZnO nanoparticles to ZnO/PET chips maintains a relatively fine size dispersion. Our developed method shows a novel “residue imaging” strategy and can be listed as a useful way to inspect the filler particle dispersion in polymer nanocomposites.

Abstract Image

残留颗粒尺寸统计的放大效应及其在聚合物纳米复合材料中纳米颗粒分散分析中的应用
聚合物纳米复合材料中纳米颗粒的分散是保证材料性能的关键。在加工过程中监测粒度分布的演变对阐明基本机制和优化制造参数至关重要。粒径分散评估依赖于聚合物基体内纳米颗粒的显微成像。然而,由于分辨率的限制,目前的成像技术面临着巨大的挑战。在这项研究中,我们介绍了一种方法,尽管显微镜分辨率大于最小粒径,但有效地评估了聚合物纳米复合材料制造过程中纳米粒径分散的演变。结果表明,该方法对粒径较大的纳米粒子的观测具有放大效应,即粒径统计的“残差”概率大于相应的原始概率。我们证明了这种方法在聚合物纳米复合材料制造过程中评估纳米颗粒团聚的效用。我们制备了氧化锌纳米粒子,将其掺入聚对苯二甲酸乙二醇酯(PET)芯片中,然后将其加工成ZnO/PET复合纤维,并应用该方法对整个制造过程进行了检测。我们的研究结果表明,开发的方法提供了一个可靠的评估纳米颗粒大小分散在不同的材料形式。我们观察到,从ZnO/PET芯片到ZnO/PET纤维的制备过程增加了ZnO/PET的聚集程度,而从ZnO纳米颗粒到ZnO/PET芯片的制备过程保持了相对精细的分散度。我们的方法展示了一种新的“残留成像”策略,可以作为一种有用的方法来检测填充颗粒在聚合物纳米复合材料中的分散。
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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