用光学显微法测定测量结果的误差

A. Staroverova, M. Tokmachev, N. B. Ferapontov
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摘要

本文介绍了用光学显微法测定环氧氯丙烷交联聚乙烯醇聚合物颗粒在水和KCl、MgCl2及其混合物中体积的结果,并分析了测量误差的主要误差来源。本研究的目的是分析和评价主要误差来源对颗粒相对体积测定精度的影响,并寻找能够使测量误差最小化的技术。通过光学显微镜获得的图像,使用专门的软件实现机器视觉算法来确定颗粒的直径。它们的体积是用旋转椭球体的体积公式计算出来的。当被测颗粒呈球形时,已知体积测定的最大精度可以达到。它表明,偏离这个形状,例如,在椭球的情况下,会在确定椭球的第三轴时产生误差,这在图像中是不可见的,这会在确定颗粒的相对体积时产生误差。测定了仪器误差,并给出了由非球形颗粒引起的误差的统计估计。结果表明,测定颗粒相对体积的典型仪器误差为0.4%。被测颗粒的非球形使测量误差达到3.5%。通过结合方法学技术和结果的统计处理,单个颗粒的误差可以降低到2.3%,而对于至少5个颗粒的集合-高达1.5%。研究了聚合物颗粒在循环测量中性能的再现性。结果表明,颗粒的膨胀程度的再现误差为1%,这使得传感器可以重复使用。所得结果可用于实验和分析应用的数据处理。
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Determination of the error of measurements obtained by the optical micrometry
We present the results of measuring the volume of polyvinyl alcohol polymer granules crosslinked with epichlorohydrin in water and in aqueous solutions of KCl, MgCl2 and their mixtures, obtained by optical micrometry, and consider the main sources of errors in the measurement errors. The purpose of this study is to analyze and evaluate the effect of the main sources of errors on the accuracy of determining the relative volumes of granules, as well as to search for techniques that can minimize the resulting measurement errors. The diameters of the granules were determined using specialized software implementing machine vision algorithms from the images obtained by optical microscopy. Their volumes were calculated using the formula for the volume of the ellipsoid of revolution. The maximum accuracy of volume determination is known to be achieved when the measured granule has a sphere shape. It is shown that deviation from this shape, for example, in case of an ellipsoid, gives errors in determining the third axis of the ellipsoid, invisible in the image, which creates an error in determining the relative volume of the granule. The instrument error is determined and a statistical estimate of the error attributed to the non-sphericity of the granules is given. It is shown that a typical instrument error in determining the relative volumes of granules is 0.4%. The non-sphericity of the measured granules increases the measurement error up to 3.5%. The error for a single granule can be reduced to 2.3% by combination of methodological techniques and statistical processing of the results, whereas and for an ensemble of at least 5 granules — up to 1.5%. The reproducibility of the properties of polymer granules in cyclic measurements was studied. It is shown that the degree of swelling the granules is reproduced with an error of 1%, which allows the sensor to be used repeatedly. The results obtained can be used in experiments and data processing for analytical applications.
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