{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Zhang L"],"funding":["Science and Technology Project of Guangxi","Innovation Project of Guangxi Graduate Education","Guilin University of Technology"],"pagination":["509"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10216006"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["13(5)"],"pubmed_abstract":["The efficacies and toxicities of chiral drug enantiomers are often dissimilar, necessitating chiral recognition methods. Herein, a polylysine-phenylalanine complex framework was used to prepare molecularly imprinted polymers (MIPs) as sensors with enhanced specific recognition capabilities for levo-lansoprazole. The properties of the MIP sensor were investigated using Fourier-transform infrared spectroscopy and electrochemical methods. The optimal sensor performance was achieved by applying self-assembly times of 30.0 and 25.0 min for the complex framework and levo-lansoprazole, respectively, eight electropolymerization cycles with <i>o</i>-phenylenediamine as the functional monomer, an elution time of 5.0 min using an ethanol/acetic acid/H<sub>2</sub>O mixture (2/3/8, <i>V</i>/<i>V</i>/<i"],"journal":["Biosensors"],"pubmed_title":["Development of Levo-Lansoprazole Chiral Molecularly Imprinted Polymer Sensor Based on the Polylysine-Phenylalanine Complex Framework Conformational Separation."],"pmcid":["PMC10216006"],"funding_grant_id":["Guike AD19110059","GUTQDJJ2016024","YCSW2022332"],"pubmed_authors":["Li J","Li D","Ouyang H","Zhang L","Wang Z","Yuan Y"],"additional_accession":[]},"is_claimable":false,"name":"Development of Levo-Lansoprazole Chiral Molecularly Imprinted Polymer Sensor Based on the Polylysine-Phenylalanine Complex Framework Conformational Separation.","description":"The efficacies and toxicities of chiral drug enantiomers are often dissimilar, necessitating chiral recognition methods. Herein, a polylysine-phenylalanine complex framework was used to prepare molecularly imprinted polymers (MIPs) as sensors with enhanced specific recognition capabilities for levo-lansoprazole. The properties of the MIP sensor were investigated using Fourier-transform infrared spectroscopy and electrochemical methods. The optimal sensor performance was achieved by applying self-assembly times of 30.0 and 25.0 min for the complex framework and levo-lansoprazole, respectively, eight electropolymerization cycles with <i>o</i>-phenylenediamine as the functional monomer, an elution time of 5.0 min using an ethanol/acetic acid/H<sub>2</sub>O mixture (2/3/8, <i>V</i>/<i>V</i>/<i","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Apr","modification":"2025-04-04T20:56:25.495Z","creation":"2025-04-04T20:56:25.495Z"},"accession":"S-EPMC10216006","cross_references":{"pubmed":["37232870"],"doi":["10.3390/bios13050509"]}}