A large number of cases showed that fentanyl (FEN) has become the main cause of death from illegal drug overdose owing to its potent effect on respiratory depression, emerged as...
A compensation implementation scheme of the advanced targeting process based on the fine tracking system is proposed in this paper. Based on the working process of the quantum positioning system (QPS) and its acquisition, tracking and pointing (ATP) system, the advanced targeting subsystem of the ATP system is designed. Based on six orbital parameters of the quantum satellite Mozi, the advanced targeting azimuth angle and pitch angle are transformed into the dynamic tracking center of the fine tracking system in the ATP system. The deviation of the advanced targeting process is analyzed. In the Simulink, the simulation experiment of the ATP system considering the deviation compensation of the advanced targeting is carried out, and the results are analyzed.
Trace analysis of lipophilic substances in complex environmental,
food, or biological matrices has proven to be a challenge, on account
of their high susceptibility to adsorption by particulate matter and
liquid–solid interfaces. For this purpose, liquid–liquid
extraction (LLE) is often employed as the separation method, which
uses water-immiscible organic solvents. As an alternative, magnetic
solid-phase extraction (MSPE) allows for adsorption, separation, and
recovery of analytes from large volumes of aqueous samples with minimum
usage of organic solvents. However, the poor selectivity hampers its
performance in various scenarios, especially in sewage samples where
complicated and unpredictable interference exists, resulting in block
of the active adsorption sites of the sorbent. To this end, we propose
receptor-affinity MSPE employing magnetic liposomes decorated with
cell membranes expressing G-protein-coupled receptor as the sorbents.
Application of the novel sorbent CM@Lip@Fe infused with CB1 cannabinoid
receptors was demonstrated for the targeted extraction and enrichment
of tetrahydrocannabinol from sewage matrix. Thanks to the high affinity
and molecular selectivity of the ligand-receptor interactions, a limit
of quantitation of 5.17 ng/L was achieved coupled with HPLC-MS/MS
in unfiltered raw sewage, featuring minimum usage of organic solvents,
fivefold enhanced sensitivity, low sorbent dosage (75 mg/L of sewage),
and high efficiency as major advantages over conventional LLE. This
work establishes a framework for efficient separation of specific
molecules from complex media, thus promising to extend and refine
standard LLE as the clean-up procedure for trace analysis.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.