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April 7, 2026Biosensors6 citationsOpen Access

Analytical Performances of Polymer-Based Biosensors for Real Samples Application

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MMMarcello MasciniSPSara PalmieriFEFabiola Eugelio

Key Points

  • The aim is to evaluate the analytical performance of different polymer classes in biosensors for various real-world applications.
  • Critical review of 96 studies published from 2015 to 2025
  • Evaluation of four polymer classes: conductive, redox-mediator, hydrogels, and molecularly imprinted polymers
  • Meta-trend analysis of performance metrics in complex matrices
  • Focus on electrochemical detection and matrix effects.
  • 79% of studies utilize electrochemical detection methods
  • Hydrogels exhibit precision with RSD below 3% in protein-rich samples
  • Molecularly imprinted polymers show high stability but delayed response times
  • 91% of studies lack proper validation metrics including limits of quantification
  • One-third of studies display issues with reproducibility and precision.

Abstract

Polymer-based biosensors have evolved from passive supports into active functional elements that dictate analytical performance in complex real-world samples. This critical review with meta-trend analysis examines 96 original research articles published between 2015 and 2025, evaluating how four polymer classes (conductive polymers, redox-mediator polymers, hydrogels, and molecularly imprinted polymers) address matrix effects in food, beverage, environmental and clinical applications. Electrochemical detection dominates (79% of studies), with conductive polymers enabling low-potential operation that excludes electroactive interference. Hydrogels achieve superior precision (RSD below 3%) in protein-rich matrices through biocompatible microenvironments that preserve enzyme kinetics. Molecularly imprinted polymers provide unmatched stability in harsh environments for trace-level detection of heavy metals and toxins, though delayed response times from slow analyte diffusion persist. Critical evaluation exposes validation deficits: 91% of studies omit limits of quantification, while approximately one-third lack reproducibility (33%) and precision (30%). The multi-matrix challenge, maintaining calibration across different hostile environments, remains the primary barrier to commercial deployment. Advanced architectures, including nanocapsulation, hierarchical nanocomposites, and microneedle-integrated systems, offer pathways to overcome limitations in fouling resistance and operational stability.

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Cite This Study

Mascini et al. (2026) studied this question.

synapsesocial.com/papers/69d49fe5b33cc4c35a2284behttps://doi.org/10.3390/bios16040207
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