Forward-Scattering and Multiple-Scattering Sources of Errors in UV-Visible Spectroscopy of Microspheres.

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Azizeh Alidoust Ghatar, Baptiste Auguié, Eric C Le Ru
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引用次数: 0

Abstract

Conventional UV-visible spectroscopy instruments measure the extinction spectrum of solutions in a transmission configuration. Because of the finite (nonzero) acceptance angle in detection, errors due to forward scattering and multiple scattering can be introduced when measuring scattering samples. We here experimentally quantify these errors using polystyrene spheres of different sizes for two representative analytical/research UV-visible instruments, one based on a single-beam diode array and the other on a double-beam scanning configuration. The measured spectra for particles larger than 1 μm are shown to differ between the two instruments, even at low concentrations, and also vary with concentration (in contradiction with the Beer-Lambert law). We show that systematic errors in the range of 10-40% are common in such measurements. We propose a model accounting for both forward- and multiple-scattering errors and demonstrate its agreement with our experimental results. This model could reduce systematic errors in measurements of scattering samples by up to 40%.

微球紫外可见光谱分析中的正向散射和多重散射误差源。
传统的紫外-可见光谱仪测量的是透射结构中溶液的消光光谱。由于检测中的接受角是有限的(非零),因此在测量散射样品时可能会引入正向散射和多重散射造成的误差。在此,我们使用两种具有代表性的分析/研究紫外可见光仪器(一种基于单光束二极管阵列,另一种基于双光束扫描配置),使用不同大小的聚苯乙烯球对这些误差进行了实验量化。结果表明,即使在低浓度条件下,两台仪器对大于 1 μm 的颗粒所测得的光谱也不尽相同,而且还随浓度的变化而变化(与比尔-朗伯定律相矛盾)。我们的研究表明,在这种测量中,10%-40% 的系统误差是很常见的。我们提出了一个同时考虑前向散射和多重散射误差的模型,并证明了该模型与实验结果的一致性。该模型可将散射样品测量中的系统误差减少多达 40%。
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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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