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Asymmetrical Flow Field-Flow Fractionation for Sizing of Gold Nanoparticles in Suspension

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Comparison of segmentors for liquid-liquid extraction flow-injection analysis.

V Kubán¹, L G Danielsson, F Ingman

¹The Royal Institute of Technology, Department of Analytical Chemistry, S-100 44 Stockholm, Sweden.

|December 1, 1990

Summary

Researchers studied solvent segmentation in liquid-liquid extraction using photometric detection. A modified glass T-fitting achieved the most repeatable segmentation, with relative standard deviation around 2%.

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Area of Science:

Chemistry
Chemical Engineering
Analytical Chemistry

Background:

Continuous liquid-liquid extraction is crucial for separating immiscible solvents.
Precise control over solvent segmentation is essential for efficient extraction processes.
Photometric detection offers high-speed monitoring capabilities for flow systems.

Purpose of the Study:

To investigate the segmentation of two immiscible solvents in a continuous flow system.
To evaluate the performance of different T-shaped segmentor designs.
To identify the most reliable method for achieving reproducible solvent segmentation.

Main Methods:

Utilized a computer-controlled photometric detection system with a resolution time of approximately 3 milliseconds.
Tested T-shaped segmentors constructed from fluoroplastic, standard glass (A4-T fitting), and modified glass (A8-T fitting).
Assessed segmentation repeatability using statistical analysis of detection data.

Main Results:

The modified glass A8-T fitting demonstrated superior performance in solvent segmentation.
This modified fitting achieved the highest repeatability, with a relative standard deviation (rsd) of approximately 2%.
Other tested materials and fittings showed lower segmentation consistency.

Conclusions:

The modified glass A8-T fitting is highly effective for reproducible solvent segmentation in continuous liquid-liquid extraction.
This finding has implications for optimizing separation processes in chemical engineering and analytical chemistry.
High-resolution photometric detection enables precise evaluation of segmentation efficiency.