Stir bar sorptive extraction and its application

• Published in: Journal of Chromatography A Vol. 1637; p. 461810
• Main Authors: He, Man, Wang, Yuxin, Zhang, Qiulin, Zang, Lijuan, Chen, Beibei, Hu, Bin
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 25.01.2021
• Subjects: Adsorption; carbon nanotubes; chromatography; Coating preparation method; electroplating; Extraction apparatus; graphene; graphene oxide; magnetism; Metal-Organic Frameworks - chemistry; Nanotubes, Carbon - chemistry; Polymers; Porosity; Reproducibility of Results; Solvents; Sorbents; Stir bar sorptive extraction; Trace analysis; Trace analysis; Coating preparation method; Stir bar sorptive extraction; Extraction apparatus; Sorbents
• ISSN: 0021-9673; 1873-3778
• DOI: 10.1016/j.chroma.2020.461810

•The preparation methods for stir bar coatings are reviewed and discussed.•Optimization of preparation process will improve the performance of the stir bar.•Carbon materials, monolith, MOFs and POPs coated stir bars are reviewed.•Integration of porous sorbents help with the improvement in extraction performance.•Emerging carriers and extraction apparatus are summarized for SBSE. Recent progress of stir bar sorptive extraction (SBSE) in the past six years is reviewed. The preparation methods including electrodeposition, self-assembly, solvent exchange, physical magnetic adsorption and electrostatic spinning, for the coated stir bar are summarized and compared, specifically for a specific material for coatings fabrication, e.g., carbon-based materials and metal organic frameworks. The emerging materials (e.g., graphene, graphene oxide, carbon nanotubes, monolith, metal-organic frameworks and porous organic polymers) applied for coated stir bar fabrication are one of the focus of this review, along with their respective advantages in extraction process and application in trace analysis. The development and application of extraction apparatus of SBSE are also involved. Based on these information, the development status and prospects of SBSE as an efficient sample pretreatment technique in real sample analysis are discussed.