An Ultrasensitive Molecularly Imprinted Point‐Of‐Care Electrochemical Sensor for Detection of Glial Fibrillary Acidic Protein
Year: 2024
Type: article
Abstract: 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 −1 , with a wide dynamic range from 1 to 10 6 fg mL −1 . 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.
Source: Advanced Healthcare Materials
Institutions: University College London, Central South University, University of Cambridge, Graphenea (Spain), Zhejiang University, Sun Yat-sen University, The Seventh Affiliated Hospital of Sun Yat-sen University, Imperial College London, UK Dementia Research Institute, UCL Queen Square Institute of Neurology, University of Wisconsin–Madison, Sahlgrenska University Hospital, University of Gothenburg
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,650
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
Awards: G1057200632, G1088883541, G1095932228, G1307999793, G1343867371, G1346957673, G1451607819, G150733400, G1539390700, G1546555014, G1551449788, G1588116593, G1710774808, G1771944843, G1802301745, G1833008592, G1842941779, G1928552717, G1938858119, G196098375, G201353144, G2057385626, G2081597990, G2142575949, G2235983196, G2237966762, G2256555670, G237833635, G2431965024, G2475953241, G2543812357, G2799940023, G2804859505, G292763017, Improve recovery from traumatic brain injury by enhancing the function of intact brain regions so people can regain independence and improve their quality of life., G3241251457, Fluid biomarkers for neurodegenerative dementias, G3509189227, G3809224024, G3842727039, G3903502641, G3914690605, G4166693258, G4228906844, G4234328627, G4244943609, G4260843567, G432431387, G434337789, G4377393254, G4786159458, G4960203590, G5004064828, G5040492720, G506008078, G516766298, G5264190596, Fluid biomarkers for neurodegenerative dementias, G5576250680, G5712520100, G5778058681, CASCADE: CAuSe or Consequence in Alzheimer DiseasE?, G6158734006, Multi-omics Interdisciplinary Research Integration to Address DEmentia diagnosis, G6207287561, G6252389079, G6289970089, G6361952146, G6544145387, Multi-omics Interdisciplinary Research Integration to Address DEmentia diagnosis, G6701856265, G6745400708, G691317373, G6996413822, G7075164165, G7293611571, MRC IAA 2021 University College London, G7728663817, G7907773732, G7972240148, G839602194, G8782684654, G891921279, G935059260
OpenAlex ID: W4402136579