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Target Recognition-Triggered Peroxidase-Mimicking Activity Depression in Homochiral Nanochannels for Identifying Cystine Enantiomers

Huijie Xu, Junli Guo, Junjian Zhao, Zhida Gao, Yan‐Yan Song

2023Analytical Chemistry14 citationsDOI

Abstract

Enantioselective identification of chiral molecules is of paramount importance in medical science, biochemistry, and pharmaceutics owing to the configuration-dependent activities of enantiomers. However, the identical physicochemical properties of enantiomers remain challenging in chiral sensing. In this study, inspired by the peroxidase-mimicking activity of Fe(III)-based nanomaterials, an enantioselective artificial architecture is constructed on TiO 2 nanochannels. Homochiral Ti-based metal–organic frameworks (MOFs) use a 2,2′-bipyridine-5,5′-dicarboxylic acid ligand as the artificial enzyme skeleton, Fe(III) as peroxidase-mimicking centers, and l -tartaric acid (TA) as a chiral recognition selector. Using l -/ d -cystine as model enantiomers, the chiral moieties of l -TA on Ti-MOFs allow stereoselective recognition of guest molecules through hydrogen bonds formed between chiral cystine and the host. In a tris(2-carboxyethyl)phosphine hydrochloride-containing environment, the disulfide bonds in cystine molecules are further cleaved, and the HS-tails react with Fe(III) active sites, causing the loss of peroxidase-like performance of nanochannels. Benefitting from the nanochannel architecture’s current–potential ( I – V ) properties, the selective recognition of cystine enantiomers is directly monitored through the peroxidase-like activity change-induced ionic current signatures. This study provides a new and universal strategy for distinguishing disulfide- and thiol-containing chiral molecules.

Topics & Concepts

ChemistryEnantiomerCystinePeroxidaseBiochemistryStereochemistryEnzymeCysteineAdvanced biosensing and bioanalysis techniquesMolecular Sensors and Ion DetectionSupramolecular Self-Assembly in Materials