An Ultrasensitive Molecularly Imprinted Point‐Of‐Care Electrochemical Sensor for Detection of Glial Fibrillary Acidic Protein
Accurate assessment of neurological disease through monitoring of biomarkers has been made possible using the antibody-based assays. But these assays suffer from expensive development of antibody probes, reliance on complicated equipments, and high maintenance costs. Here, using the novel reduced graphene oxide/polydopamine-molecularly imprinted polymer (rGO/PDA-MIP) as the probe layer, a robust electrochemical sensing platform is demonstrated for the ultrasensitive detection of glial fibrillary acidic protein (GFAP), a biomarker for a range of neurological diseases. A miniaturized integrated circuit readout system is developed to interface with the electrochemical sensor, which empowers it with the potential to be used as a point-of-care (POC) diagnostic tool in primary clinical settings. This innovative platform demonstrated good sensitivity, selectivity, and stability, with imprinting factor evaluated as 2.8. A record low limit-of-detection (LoD) is down to 754.5 ag mL<sup>-1</sup>, with a wide dynamic range from 1 to 10<sup>6</sup> fg mL<sup>-1</sup>. The sensing platform is validated through the analysis of GFAP in clinical plasma samples, yielding a recovery rate range of 81.6-108.8% compared to Single Molecule Array (Simoa). This cost-effective and user-friendly sensing platform holds the potential to be deployed in primary and resource-limited clinical settings for the assessment of neurological diseases.
Authors
- Elias Torres
- David Sharp (ORCID: https://orcid.org/0000-0003-4995-2240)
- Rica Asrosa
- Lizhou Xu (ORCID: https://orcid.org/0000-0001-5983-4059)
- Liuxiong Luo
- Amanda Heslegrave (ORCID: https://orcid.org/0000-0002-7290-6405)
- Neil Graham (ORCID: https://orcid.org/0000-0002-0183-3368)
- Henrik Zetterberg (ORCID: https://orcid.org/0000-0003-3930-4354)
- Kaizhong Xing
- Yixuan Li (ORCID: https://orcid.org/0009-0003-0589-2124)
- Bing Li (ORCID: https://orcid.org/0000-0002-1737-3423)
- Danyang Li (ORCID: https://orcid.org/0000-0002-7508-6019)
- Lenart Senicar
- Burcu Kizilates
Institutions
- University of Wisconsin–Madison (US)
- Central South University (CN)
- Sun Yat-sen University (CN)
- Zhejiang University of Science and Technology (CN)
- University of Cambridge (GB)
- Sahlgrenska University Hospital (SE)
- The Seventh Affiliated Hospital of Sun Yat-sen University (CN)
- Institute for Neurodegenerative Disorders (US)
- UK Dementia Research Institute (GB)
- MRC Prion Unit (GB)
- Graphenea (Spain) (ES)
- University College London (GB)
- Imperial College London (GB)
- Zhejiang University (CN)
- University of Gothenburg (SE)
Publication Details
- Journal
- Advanced Healthcare Materials
- Published
- 2024-09-02
- DOI
- https://doi.org/10.1002/adhm.202401966
- Citations
- 12
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.81
Funders
- Alzheimer's Association
- Alzheimer's Drug Discovery Foundation
- Familjen Erling-Perssons Stiftelse
- Cure Alzheimer's Fund
- Stiftelsen för Gamla Tjänarinnor
- EU Joint Programme – Neurodegenerative Disease Research
- National Institute for Health and Care Research
- Royal Society
- Imperial College London
- Imperial College Healthcare NHS Trust
- University College London
- European Commission
- Rosetrees Trust
- National Natural Science Foundation of China
- Hjärnfonden
- Vetenskapsrådet
- China Scholarship Council
- UK Dementia Research Institute
- Olav Thon Stiftelsen
- HORIZON EUROPE Framework Programme
- Medical Research Council
- Engineering and Physical Sciences Research Council
- UCLH Biomedical Research Centre
- H2020 Marie Skłodowska-Curie Actions