Electroactive Molecularly Imprinted Polymer Nanoparticles (eMIPs) for Label‐free Detection of Glucose: Toward Wearable Monitoring

Garg, Saweta, Singla, Pankaj, Kaur, Sarbjeet, Crapnell, Robert D ORCID: https://orcid.org/0000-0002-8701-3933, Banks, Craig E ORCID: https://orcid.org/0000-0002-0756-9764, Seyedin, Shayan and Peeters, Marloes ORCID: https://orcid.org/0000-0002-0429-8073 (2024) Electroactive Molecularly Imprinted Polymer Nanoparticles (eMIPs) for Label‐free Detection of Glucose: Toward Wearable Monitoring. Small. 2403320. ISSN 1613-6810

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Abstract

The diagnosis of diabetes mellitus (DM) affecting 537 million adults worldwide relies on invasive and costly enzymatic methods that have limited stability. Electroactive polypyrrole (PPy)-based molecularly imprinted polymer nanoparticles (eMIPs) have been developed that rival the affinity of enzymes whilst being low-cost, highly robust, and facile to produce. By drop-casting eMIPs onto low-cost disposable screen-printed electrodes (SPEs), sensors have been manufactured that can electrochemically detect glucose in a wide dynamic range (1 µm–10 mm) with a limit of detection (LOD) of 26 nm. The eMIPs sensors exhibit no cross reactivity to similar compounds and negligible glucose binding to non-imprinted polymeric nanoparticles (eNIPs). Measurements of serum samples of diabetic patients demonstrate excellent correlation (>0.93) between these eMIPs sensor and the current gold standard Roche blood analyzer test. Finally, the eMIPs sensors are highly durable and reproducible (storage >12 months), showcasing excellent robustness and thermal and chemical stability. Proof-of-application is provided via measuring glucose using these eMIPs sensor in a two-electrode configuration in spiked artificial interstitial fluid (AISF), highlighting its potential for non-invasive wearable monitoring. Due to the versatility of the eMIPs that can be adapted to virtually any target, this platform technology holds high promise for sustainable healthcare applications via providing rapid detection, low-cost, and inherent robustness.