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Updated: Aug 11, 2026

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
Published on: March 12, 2019
Turbidimetric detection method in flow-assisted separation of dispersed samples
Andrea Zattoni1, Elena Loli Piccolomini, Giancarlo Torsi
1Department of Chemistry "G. Ciamician", University of Bologna, Via Selmi 2, I-40126 Bologna, Italy.
A new method determines the mass-size distribution of dispersed analytes using flow-assisted separation and UV/vis detectors. This technique eliminates the need for standards or predicting optical properties for accurate quantitative analysis.
Area of Science:
- Analytical Science
- Chromatography
- Spectrophotometry
Background:
- Characterizing dispersed samples is crucial in analytical science.
- Common techniques include size exclusion chromatography, hydrodynamic chromatography, and field-flow fractionation.
- UV/vis spectrophotometric detectors often function as turbidimeters for dispersed analytes, requiring knowledge of extinction properties for quantification.
Purpose of the Study:
- To develop a novel method for experimentally obtaining the mass-size (or number-size) distribution function of dispersed analytes.
- To enable direct quantitative analysis without relying on standards or predicting optical properties.
- To validate the method's accuracy and robustness through simulations and experimental application.
Main Methods:
- Utilizing single-run, flow-assisted separation with UV/vis diode-array detectors.
- Employing a known retention-to-size relationship (theoretical or empirical).
- Developing and testing original algorithms for data processing and numerical optimization.
Main Results:
- The proposed method experimentally determines the mass-size distribution function.
- The approach bypasses the need for analyte standards or optical property prediction.
- Simulations demonstrate accuracy and robustness, with successful application to field-flow fractionation data.
Conclusions:
- The novel method provides a direct route to quantitative analysis of dispersed samples.
- It offers a significant advancement over existing techniques by simplifying data interpretation.
- The method is validated and applicable to real-world analytical challenges, particularly in field-flow fractionation.
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