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Published on: July 1, 2016
Advancing Sustainable Dispersive Liquid-Liquid Microextraction: Methodological Formats and Eco-Friendly Solvents for
Jameel Ahmed Baig1, Muhammad Balal Arain2,3, Tasneem Gul Kazi4
1Department of Chemistry, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.
Dispersive liquid-liquid microextraction (DLLME) offers an efficient method for heavy metal analysis. This review explores various DLLME techniques and greener solvents for improved preconcentration and detection.
Area of Science:
- Analytical Chemistry
- Environmental Chemistry
Background:
- Heavy metals are significant chemical pollutants requiring effective preconcentration methods.
- Dispersive liquid-liquid microextraction (DLLME) is a highly effective sample preparation technique for heavy metal analysis.
- DLLME offers advantages such as speed, simplicity, cost-effectiveness, and minimal solvent consumption.
Purpose of the Study:
- To review various DLLME modes for heavy metal extraction.
- To discuss the application and benefits of alternative green solvents in DLLME.
- To provide a comparative assessment of DLLME approaches and green solvents.
Main Methods:
- Review of established and emerging DLLME techniques (e.g., ultrasound-assisted, vortex-assisted, air-assisted).
- Exploration of alternative solvent systems including supramolecular solvents (SUPRAs), switchable solvents (SSs), and deep eutectic solvents (DESs).
- Critical examination of limitations associated with specific DLLME modes and solvents.
Main Results:
- DLLME modes enhance extraction efficiency for heavy metals.
- Green solvents like SUPRAs, SSs, and DESs improve the environmental profile of DLLME.
- Comparative analysis highlights the strengths and weaknesses of different DLLME strategies.
Conclusions:
- DLLME, especially with green solvents, is a promising approach for sensitive heavy metal determination.
- Further research is needed to overcome limitations and optimize DLLME for environmental monitoring.
- The review provides a comprehensive overview of DLLME advancements for heavy metal analysis.
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