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Latex particle size distribution by dynamic light scattering: novel data processing for multiangle measurements

机译:通过动态光散射进行胶乳粒度分布:用于多角度测量的新型数据处理

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摘要

Multiangle dynamic light scattering (DLS) provides a better estimate of particle size distributions (PSD) than single-angle DLS. However, multiangle data treatment requires appropriate weighting of each autocorrelation measurement prior to calculation of the PSD. The weighting coefficients may be directly obtained from (i) the autocorrelation baselines or (ii) independent measurement of the average light intensity by elastic light scattering. However, the propagation of errors associated with such procedures may intolerably corrupt the PSD estimate. In this work, an alternative recursive least-squares calculation is proposed that estimates the weighting coefficients on the basis of the complete autocorrelation measurement. The method was validated through a numerical example that simulates the analysis of a polystyrene latex with a bimodal PSD and with "measurements" taken at 10 detection angles. The ill-conditioned nature of the problem determines that the "true" PSD cannot be recovered. even in the absence of errors. A sensitivity analysis was carried out to determine the effect of errors in the weighting coefficients on the PSD recoveries. (C) 2003 Elsevier Science (USA). All rights reserved. [References: 16]
机译:与单角度DLS相比,多角度动态光散射(DLS)可以更好地估计粒度分布(PSD)。但是,多角度数据处理要求在计算PSD之前对每个自相关测量值进行适当的加权。可以从(i)自相关基线或(ii)通过弹性光散射独立测量平均光强度直接获得加权系数。但是,与此类过程相关的错误的传播可能无法容忍地破坏PSD估计。在这项工作中,提出了一种替代的递归最小二乘计算,该计算基于完整的自相关测量值来估计加权系数。通过一个数值示例验证了该方法,该数值示例模拟了具有双峰PSD的聚苯乙烯胶乳的分析,并在10个检测角度进行了“测量”。问题的病态性质决定了“真实” PSD无法恢复。即使没有错误。进行了敏感性分析,以确定加权系数误差对PSD回收率的影响。 (C)2003 Elsevier Science(美国)。版权所有。 [参考:16]

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