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Stig Pedersen-Bjergaard

Researcher at University of Copenhagen

Publications -  240
Citations -  12806

Stig Pedersen-Bjergaard is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Extraction (chemistry) & Membrane. The author has an hindex of 57, co-authored 227 publications receiving 11283 citations. Previous affiliations of Stig Pedersen-Bjergaard include University of Waterloo & Technical University of Denmark.

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Liquid-phase microextraction in 96-well plates - calibration and accurate quantification of pharmaceuticals in human plasma samples.

TL;DR: PALME is a new approach to high-throughput sample preparation, providing accurate quantification, along with simple workflow, low consumption of organic solvent, and extensive sample clean-up.
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Identification of chlorinated sulfur compounds in pulp mill effluents by GC-MS and GC-AED

TL;DR: In this paper, three chlorinated dimethyl sulfones and five chlorinated thiophenes were identified in the alkaline extraction liquor from a bleach plant by gas chromatography with atomic emission detection (GC-AED) and with mass spectrometry (GCMS).
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Electromembrane extraction of highly polar bases from biological samples - Deeper insight into bis(2-ethylhexyl) phosphate as ionic carrier.

TL;DR: The behavior of DEHP during extractions was studied for the first time, and the ion-pair formation between analytes and DEHP was moved from the sample/SLM interface to the bulk of the sample solution, which improved the mass transfer of polar bases considerably.
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Analysis of Pharmaceuticals by Microemulsion Electrokinetic Chromatography in a Suppressed Electroosmotic Flow Environment

TL;DR: Several steroids, benzodiazepines, antidepressants, antipsychotic drugs, and antiepileptic drugs were effectively separated on the basis of their different interactions with the migrating microdroplets ofn-octane.
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Micro-electromembrane extraction using multiple free liquid membranes and acceptor solutions - Towards selective extractions of analytes based on their acid-base strength.

TL;DR: This work investigated selective micro-electromembrane extractions of the colored indicators metanil yellow and congo red and the small drug substances nortriptyline, papaverine, mianserin, and citalopram based on their acid-base strength to improve fractionation capability and implement the concept into microfluidic platforms.