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Analysis of optical absorbance spectra for the determination of ZnO nanoparticle size distribution, solubility, and surface energy

机译:用于确定ZnO纳米粒度分布,溶解度和表面能的光吸收光谱分析

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摘要

We present a model to calculate particle size distributions (PSDs) of colloidal ZnO nanoparticles from their absorbance spectra. Using literature values for the optical properties of bulk ZnO and correlating the measurement wavelengths in the UV-visible regime with distinct particle sizes by a tight binding model (TBM), an algorithm deconvolutes the absorbance spectra into contributions from size fractions. We find an excellent agreement between size distributions determined from TEM images and the calculated PSDs. For further validation, bimodal PSDs have been investigated and an approach to determine not only particle size but also solid concentration is introduced. We will show the applicability of our model by the determination of temperature-dependent ripening rates, which enables the calculation of solubilities, surface tensions, and the activation enthalpy of ripening. In principle, our methodology is applicable to different semiconductor nanoparticles in various solvents as long as their bulk properties are known and scattering is negligible.
机译:我们提出了一个模型来从其吸收光谱计算胶体ZnO纳米颗粒的粒径分布(PSD)。利用紧密结合模型(TBM)的大量ZnO光学性质的文献资料值,并通过紧密结合模型(TBM)将UV可见区中的测量波长与不同的粒径相关联,该算法将吸收光谱反卷积为尺寸分数的贡献。我们发现从TEM图像确定的尺寸分布和计算的PSD之间有极好的一致性。为了进一步验证,已经研究了双峰PSD,并引入了一种不仅确定粒径而且还确定固体浓度的方法。我们将通过确定与温度相关的成熟速率来证明我们模型的适用性,这可以计算溶解度,表面张力和成熟活化焓。原则上,我们的方法适用于各种溶剂中的不同半导体纳米粒子,只要它们的整体性质已知并且散射可以忽略。

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