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The progress of the cyclic strategy in separation and detection
Baisen Chen1, Ziwang Liu1, Xiaoshuai Yang1
1School of Chemistry, Sun Yat-sen University Guangzhou 510006 China cesgkl@mail.sysu.edu.cn.
Chemical Science
|January 14, 2026
Summary
Analytical chemistry is shifting to a cyclic model, enhancing separation and detection technologies. This temporal strategy boosts efficiency and sustainability in complex analytical systems.
Area of Science:
- Analytical Chemistry
- Separation Science
- Detection Technologies
Background:
- Traditional analytical chemistry models are linear.
- A shift towards cyclic strategies is emerging for improved efficiency and sustainability.
- Incorporating the temporal dimension is key to this transformation.
Purpose of the Study:
- To review the implementation of cyclic strategies in separation and detection.
- To analyze fundamental modes, energy, and device requirements.
- To explore applications and future directions of cyclic strategies.
Main Methods:
- Discussion of macroscopic flow cycling and microscopic reaction cycling.
- Analysis of energy and device requirements for cyclic strategies.
- Review of applications in sample preparation, chromatography, electrophoresis, and various detection methods (spectrometry, electrochemistry, mass spectrometry).
Main Results:
- Cyclic strategies significantly enhance separation efficiency and detection sensitivity.
- Improved information dimensionality and dynamic monitoring capabilities are achieved.
- Increased process sustainability is realized within confined spaces and limited resources.
Conclusions:
- The cyclic strategy is a methodological framework leveraging spatiotemporal synergy.
- It addresses future challenges in complex analytical systems.
- This approach offers a sustainable and efficient path for analytical chemistry.
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