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Updated: Apr 25, 2026

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
Published on: April 23, 2019
Stereoselective cyclic peptide assisted DART-MS for rapidly screening environmental disruptors of dopamine receptors
Yiheng Yuan1, Hongyu Wen2, Geng Li1
1MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, LIFM, KLGHEI of Environment and Energy Chemistry, School of Chemistry, IGCME, Sun Yat-sen University, Guangzhou, Guangdong, 510006, China; Instrumental Analysis & Research Center, Sun Yat-sen University, Guangzhou, Guangdong, 510275, China.
Abstract:
The emerging binding-directed analysis (BDA) technique has successfully employed stereoselective oligopeptide probes to capture G protein-coupled receptor (GPCR)-active compounds from complex environmental matrices via electrospray ionization (ESI)-enabled complex formation. However, its integration with direct analysis in real time-mass spectrometry (DART-MS), a technique characterized by fundamentally different ionization mechanisms and exceptionally high analytical throughput, remains unexplored. This study evaluates a DART-MS-based BDA workflow for rapid, chromatography-free screening of GPCR ligands using ten model dopamine (DA) receptor ligands and a dopamine-selective cyclic peptide probe (CPP). The workflow required less than 1 min per measurement. Notably, DART-MS even achieved an average CPP-ligand complexation efficiency substantially higher than that obtained in ESI-MS (20% vs 4%), facilitating reliable identification of CPP-ligand complex ions from redundant mass spectra. Moreover, most CPP-ligand gas-phase complexes formed in DART-MS and ESI-MS showed comparable collision stability. Only the CPP-sulpiride and CPP-pramipexole complexes showed stability reduction by 85% and 61% in DART-MS compared to ESI-MS. These findings suggest that DART desorption/ionization conditions may promote more efficient formation and/or preservation of CPP-ligand complex ions. The applicability of the DART-MS-based BDA workflow was further validated through analysis of surface water samples. Although the spiked model ligand perphenazine (L1) was not captured by the CPP, the rubber additive 1,3-diphenylguanidine was successfully identified, a DA antagonist formerly also discovered by the ESI-MS-based BDA workflow. Collectively, this study establishes DART-MS-based BDA as a highly-efficient screening tool for future large-scale surveillance of GPCR-disrupting chemicals in the environment.

