ArticleThe FEBS journal2026
Ultrafast python-integrated single-entity electrochemical sensor for detecting glycated albumin.
Article in The FEBS journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
This study reports a rapid single-entity electrochemistry (SEE) approach for detecting glycated albumin (GA), a biomarker primarily used for short-term glycaemic monitoring and for clinical situations in which glycated haemoglobin (HbA1c) may be unreliable. Silver nanoparticles (AgNPs) were functionalised with 4-mercaptophenylboronic acid (MPBA) to enable cis-diol affinity interactions with glycated moieties. The MPBA-AgNP conjugates were mixed directly with serum samples, and random nanoparticle collisions at an ultramicroelectrode-generated chronoamperometric transient. A Python-based workflow extracted and classified collision events using peak morphology, and quantification was performed by counting GA-associated events within a 150 s acquisition window. The method provided a linear response from 0.1% to 50% GA (R
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