Nanoliter-Scale Electromembrane Extraction and Enrichment in a Microfluidic Chip.
Frederik A HansenDrago StickerJörg P KutterNickolaj J PetersenStig Pedersen-BjergaardPublished in: Analytical chemistry (2018)
This paper reports for the first time nanoliter-scale electromembrane extraction (nanoliter-scale EME) in a microfluidic device. Six basic drug substances (model analytes) were extracted from 70 μL samples of human whole blood, plasma, or urine through a supported liquid membrane (SLM) of 2-nitrophenyl octyl ether (NPOE) and into 6 nL of 10 mM formic acid as an acceptor solution. A DC potential of 15 V was applied across the SLM and served as the driving force for the extraction. The cathode was located in the acceptor solution. Because of the small area of the SLM (0.06 mm2), the system provided soft extraction with recoveries <1% for the 70 μL samples. Because of the large sample-to-acceptor-volume ratio, analytes were enriched in the acceptor solution. The enrichment capacity was 6-7-fold per minute, and after 60 min of operation, most of the model analytes were enriched by a factor of approximately 400. Because of the SLM and the direction of the applied electrical field, substantial sample cleanup was obtained. The chips were based on thiol-ene polymers, and the soft-lithography-fabrication procedure and the materials were selected in such a way that future mass production should be feasible. The chip-to-chip variability was within 23% RSD (and less than 10% in most cases) with respect to extraction recovery. Our findings have verified that nanoliter-scale EME is highly feasible and provides reliable data, and for future studies, the concept should be tested for applicability in connection with in vitro microphysiological systems, organ-on-a-chip systems, and point-of-care diagnostics. These are potential areas where the combination of soft extraction and high enrichment from limited sample volumes is required for reliable analytical measurements.
Keyphrases
- high throughput
- circulating tumor cells
- solar cells
- endothelial cells
- energy transfer
- ionic liquid
- machine learning
- risk assessment
- mass spectrometry
- electronic health record
- adverse drug
- immune response
- single molecule
- minimally invasive
- drinking water
- artificial intelligence
- solid state
- liquid chromatography
- climate change
- solid phase extraction