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Miguel A Báez-Chorro¹, Borja Vidal¹

¹Nanophotonics Technology Center, Universitat Politècnica de València, Valencia 46022, Spain.

Analytical Chemistry

|October 17, 2023

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This study introduces coherent detection using THz waves for accurate particle size distribution (PSD) analysis. The method improves accuracy by utilizing both extinction and refractive index data, outperforming traditional extinction-only methods.

Area of Science:

Optics and Photonics
Materials Science
Spectroscopy

Background:

Traditional particle sizing relies on extinction measurements, which overlook valuable phase change information in particulate media.
Inhomogeneous samples and complex phase changes present challenges for accurate particle size distribution (PSD) characterization.

Purpose of the Study:

To develop a novel method for deriving PSD in inhomogeneous samples using coherent detection and light scattering.
To leverage THz waves for simultaneous retrieval of extinction and refractive index information.
To improve the accuracy of PSD inversion by incorporating phase change data.

Main Methods:

Utilized coherent detection with THz waves to analyze light scattering from particulate media.
Employed a modified iterative Twomey method incorporating both extinction and refractive index data.

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Applied a forward model based on the Waterman-Truell formula for complex refractive index, enabling measurements of absorbing samples.

Main Results:

Numerical simulations demonstrated a potential error reduction of up to 65% compared to extinction-only methods.
Experimental validation with calibrated glass particles in a PTFE matrix showed improved PSD retrieval.
The technique achieved up to a 32% enhancement in accuracy for both monodisperse and polydisperse samples compared to extinction-based methods.

Conclusions:

Coherent detection with THz waves offers a robust approach for accurate PSD determination in complex media.
The proposed method overcomes limitations of traditional techniques by utilizing comprehensive optical information.
This technique provides accurate PSD without requiring prior assumptions on the distribution shape.