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Redox-encoded molecular recognition enables enzyme-free potentiometric sensing of electroinactive glutamate

AI Summary
  • Glu-PRES introduces redox-encoded molecular recognition to convert selective binding of electroinactive glutamate into a potentiometric signal without enzymatic catalysis.
  • Molecularly imprinted polydopamine recognition layer atop Prussian Blue redox transducer on a bipolar carbon fibre electrode measured against IrCl6 redox couple.
  • Broad linear range 0.10–400 μM, detection limit 31 nM, <14% interference at physiological interferents, reversible responses and strong protein fouling resistance; resolves graded Glu release.
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Anal Chim Acta. 2026 Dec 15;1427:346383. doi: 10.1016/j.aca.2026.346383. Epub 2026 Oct 15.

ABSTRACT

Glutamate (Glu), the major excitatory neurotransmitter in the central nervous system, is intrinsically electroinactive, making its direct electrochemical detection challenging and often requiring enzyme-mediated signal transduction. Here, we introduce a redox-encoded molecular recognition strategy that converts selective binding of electroinactive Glu into a potentiometric signal without enzymatic catalysis. The resulting glutamate potentiometric redox-encoded sensor (Glu-PRES) integrates a molecularly imprinted polydopamine (PDA) recognition layer with a Prussian Blue (PB) redox transducer on a bipolar carbon fiber electrode. Selective Glu binding within the imprinted cavities modulates the local interfacial environment and ionic accessibility of the underlying PB layer, inducing a PB-associated potential shift that is measured against a stable IrCl63-/IrCl62- redox interface through galvanic potentiometry. Glu-PRES provides a broad linear range of 0.10-400 μM with a detection limit of 31 nM, while responses to physiologically relevant interferents remain below 14% of that to 10 μM Glu. The sensor also exhibits reversible potential responses upon repeated switching between 100 nM and 1 μM Glu, together with strong resistance to protein fouling. The sensor further resolves graded Glu-release dynamics in a brain hematoma-mimicking hydrogel model. These results demonstrate a recognition-to-redox potential encoding strategy for enzyme-free potentiometric sensing of electroinactive molecular targets.

PMID:43003583 | DOI:10.1016/j.aca.2026.346383

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