Label-Free Electrochemical Interleukin-6 Sensor Exploiting rGO-Ti3C2Tx MXene Nanocomposites
Source abstract
Abstract
High Resolution Image Download MS PowerPoint Slide This work introduces a novel, rapid, label-free, affinity-enabled electrochemical sensor for the detection of interleukin-6 (IL-6), a critical proinflammatory cytokine associated with severe conditions like sepsis and COVID-19. Unlike conventional approaches, this platform leverages an innovative biofunctional nanocomposite of Ti 3 C 2 T x MXene, tetraethylene pentaamine-functionalized reduced graphene oxide (TEPA-rGO), and Nafion, functionalized with anti-IL-6 antibodies, integrated into a carbon-based screen-printed three-electrode chip. The system achieves unprecedented sensitivity in IL-6 quantification, with a single-digit pg/mL detection limit and a broad range of 3–1000 pg/mL using ∼5 μL of serum. The sensor design is uniquely enhanced through the introduction of a genetic algorithm-based thin-layer diffusion model, which optimizes critical, previously unknown electrochemical transport parameters, including diffusion coefficient, rate constant, charge transfer coefficient, and electrochemically active surface area. This approach represents a significant advancement in biosensor modeling and performance tuning. The sensor demonstrates exceptional selectivity (signal-to-noise ratio ∼ 6.9) against relevant interferents (e.g., sepsis-related antigens, small molecules, electroactive compounds), retains operational stability for a month, and offers a sample-to-answer time of ∼15 min (i.e., up to 12 times faster than traditional ELISA), while maintaining comparable sensitivity. Detailed morphological, topographical, and chemical analyses validate the structural and functional integrity of the TEPA-rGO/MXene/Nafion nanocomposite. By combining cutting-edge nanomaterials with advanced computational modeling, this IL-6 sensor sets a new benchmark for rapid, precise cytokine detection, offering transformative potential for early disease diagnosis and prognosis.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: MXene and MAX Phase Materials · Advanced biosensing and bioanalysis techniques · Advanced Memory and Neural Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Nanoengineered Systems Laboratory, UCL Mechanical Engineering
University College London
UCL Hawkes Institute
Department of Physics
King’s College London
Division of Critical Care
University College London Hospitals
NIHR University College London Hospitals Biomedical Research Centre
Manufacturing Futures Laboratory
Funding
Royal Society · UK Research and Innovation · European Research Council · Wellcome / EPSRC Centre for Interventional and Surgical Sciences · HORIZON EUROPE Framework Programme
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