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Simultaneous identification of microparticles material nature and size distribution using spectral resonances in MIR-ATR spectroscopy

2023 Score: 30 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Ahmed M. Othman, Ahmed M. Othman, Ahmed M. Othman, Ahmed M. Othman, Ahmed M. Othman, Yasser M. Sabry, Yasser M. Sabry, Yasser M. Sabry, Diaa Khalil, Yasser M. Sabry, Yasser M. Sabry, Yasser M. Sabry, Diaa Khalil, Diaa Khalil, Tarik Bourouina Tarik Bourouina Tarik Bourouina Diaa Khalil, Tarik Bourouina Tarik Bourouina Diaa Khalil, Tarik Bourouina Tarik Bourouina Tarik Bourouina Tarik Bourouina Tarik Bourouina

Summary

Researchers developed a mid-infrared ATR spectroscopy technique that can simultaneously identify the material type and size distribution of microparticles in liquid samples using spectral resonance patterns. The method works for both bacteria in biological fluids and microplastics in water. Simultaneous size and composition analysis speeds up environmental microplastic characterization.

Analysis of microparticles in liquid samples is important in many settings, such as the analysis of bacteria in biofluids, or microplastics in water. In addition to their specific absorbance peaks, microparticles result in ripples in the ATR spectra measured especially in the shorter wavelength range due to resonance effects. By analyzing these ripples, in addition to the absorbance peaks, the microparticles material and size distribution can be simultaneously identified. We develop a method to extract the size distribution of particles of diameter 6 μm and 10 μm. In addition, we apply the model to ATR spectroscopic measurements of poly(methyl methacrylate) microspheres of different diameters in water to extract their size.

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