In-syringe polypropylene fiber-supported liquid microextraction using natural deep eutectic solvents for the
Yabing Shan1, Jiayi Li1, Ying Chen1
1National Narcotics Laboratory Beijing Regional Center, Beijing 100164, China.
Abstract:
This study introduces an environmentally friendly and efficient sample preparation method for the extraction and analysis of amphetamine-type stimulants (ATS) in biological and environmental samples. The proposed polypropylene fiber-supported liquid-phase microextraction (PPF-SLME) method utilizes PPF as the support medium and natural deep eutectic solvents (NADES) as the extractant, coupled with a simple in-syringe format for streamlined extraction and desorption processes. The use of pure PPF, sourced from disposable three-layer nonwoven face masks, offers a cost-effective and sustainable alternative to conventional natural fibers. Additionally, NADES, composed of natural and environmentally benign components, enhances the overall sustainability of the method. This approach reduces solvent consumption while improving extraction efficiency, making it a green alternative to traditional methods. The optimized extraction conditions-including NADES composition, solvent volumes, and the number of pull-push cycles-were systematically evaluated. The method exhibited robust linearity within the concentration range of 0.01-10 ng/mL, featuring an R2 value greater than 0.994, and detection limits spanning from 1 to 6 ng/L. Relative recoveries ranged from 81.8% to 104.8%, with relative standard deviations below 10.6%. The method's performance was successfully demonstrated in both environmental and biological sample analyses, providing a rapid, cost-effective, sensitive, and sustainable solution for ATS detection.
More Related Videos
10:17High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
Published on: April 23, 2019
09:04Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow
Published on: April 18, 2019
