Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/134072
Título: Reusable and highly sensitive SERS immunoassay utilizing gold nanostars and a cellulose hydrogel-based platform
Autor: Oliveira, Maria João
Cunha, Inês
de Almeida, Miguel P.
Calmeiro, Tomás
Fortunato, Elvira
Martins, Rodrigo
Pereira, Luís
Byrne, Hugh J.
Pereira, Eulália
Águas, Hugo
Franco, Ricardo
Palavras-chave: Chemistry(all)
Biomedical Engineering
Materials Science(all)
Data: 28-Set-2021
Citação: Oliveira, M. J., Cunha, I., de Almeida, M. P., Calmeiro, T., Fortunato, E., Martins, R., Pereira, L., Byrne, H. J., Pereira, E., Águas, H., & Franco, R. (2021). Reusable and highly sensitive SERS immunoassay utilizing gold nanostars and a cellulose hydrogel-based platform. Journal of Materials Chemistry B, 9(36), 7516-7529. https://doi.org/10.1039/d1tb01404h
Resumo: The development of robust and sensitive point-of-care testing platforms is necessary to improve patient care and outcomes. Surface-enhanced Raman scattering (SERS)-based immunosensors are especially suited for this purpose. Here, we present a highly sensitive and selective SERS immunoassay, demonstrating for example the detection of horseradish peroxidase (HRP), in a sandwich format. The strength of our biosensor lies in merging: (i) SERS-immunotags based on gold nanostars, allowing exceptional intense SERS from attached Raman probes, covalent attachment of anti-HRP antibodies by a simple chemical method providing exceptional antigen binding activity; (ii) the ease of preparation of the capture platform from a regenerated cellulose-based hydrogel, a transparent material, ideal for microfluidics applications, with low background fluorescence and Raman signal, particularly suited for preserving high activity of the covalently bound anti-HRP antibodies. The sandwich complexes formed were characterised by atomic force microscopy, and by scanning electron microscopy coupled with electron diffraction spectroscopy; and (iii) the robustness of the simple Classical Least Squares method for SERS data analysis, resulting in superior discrimination of SERS signals from the background and much better data fitting, compared to the commonly used peak integral method. Our SERS immunoassay greatly improves the detection limits of traditional enzyme-linked immunosorbent assay approaches, and its performance is better or comparable to those of existing SERS-based immunosensors. Our approach successfully overcomes the main challenges of application at point-of-care, including increasing reproducibility, sensitivity, and specificity, associated with an environmentally friendly and robust design. Also, the proposed design withstands several cycles of regeneration, a feature absent in paper-SERS immunoassays and this opens the way for sensitive multiplexing applications on a microfluidic platform.
Descrição: This work was funded by FEDER funds through the COMPETE 2020 Programme and National Funds through the FCT---Fun-dação para a Ciência e a Tecnologia, I. P., under the scope of the project. This work also received funding from the European Community’s H2020 program under grant agreement No. 716510 (ERC-2016-STG TREND), 640598 (ERC-StG-2014, NEWFUN), and 685758 (1D-Neon). This work was supported by the Applied Molecular Biosciences Unit – UCIBIO and Associate Laboratory for Green Chemistry – LAQV which are financed by Portugal national funds from /2016 and SFRH/BD/132057/2017 from the FCT/MCTES and MIT Portugal PhD Program (to I. C. and M. J. O., respectively). Professor César Laia (LAQV-REQUIMTE, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, Portugal) is acknowledged for permitting the use of DLS equipment. Professor Ludwig Krippahl (NOVA LINCS, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, Portugal) is acknowledged for developing the gel analysis application eReuss. M. J. O. acknowledges Rocío Palomares Jurado PhD for visualisation/data presentation support and continued interest in the project. M. J. O. acknowledges David Peitinho MSc for help and advice in Python script. Diego Wiechers de Carvalho BSc is acknowledged for purifying the recombinant Plasmodium falciparum histidine-rich protein 2 sample and Daniela Gomes PhD for providing SEM images. Publisher Copyright: © The Royal Society of Chemistry 2021.
Peer review: yes
URI: http://hdl.handle.net/10362/134072
DOI: https://doi.org/10.1039/d1tb01404h
ISSN: 2050-750X
Aparece nas colecções:FCT: DCM - Artigos em revista internacional com arbitragem científica

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