Research Data Leeds Repository

Citation

Fox, Joseph and Batchelor, Damien V. B. and Roberts, Holly and Moorcroft, Samuel C. T. and Valleley, Elizabeth M. A. and Coletta, P. Louise (2023) Dataset for Gold Nanotapes and Nanopinecones in a Quantitative Lateral Flow Assay for the Cancer Biomarker Carcinoembryonic Antigen. University of Leeds. [Dataset] https://doi.org/10.5518/1332

Dataset description

Dataset includes all data needed for reader to create all plots found in the paper.

Keywords:	Gold, nanoparticles, lateral flow assay, cancer, biomarker, hierarchical nanoparticles, quantitative, carcinoembryonic antigen
Subjects:	F000 - Physical sciences F000 - Physical sciences > F100 - Chemistry > F170 - Physical chemistry F000 - Physical sciences > F300 - Physics > F320 - Chemical physics F000 - Physical sciences > F300 - Physics
Divisions:	Faculty of Engineering and Physical Sciences > School of Chemistry Faculty of Engineering and Physical Sciences > School of Physics and Astronomy Faculty of Medicine and Health > School of Medicine
Related resources:	Location Type https://doi.org/10.1021/acsanm.3c03053 Publication https://eprints.whiterose.ac.uk/205081/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	20 Sep 2023 14:51
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1158
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Fox, Joseph https://orcid.org/0000-0002-5326-1058 University of Leeds https://ror.org/024mrxd33 ror Batchelor, Damien V. B. https://orcid.org/0000-0001-6489-9578 University of Leeds https://ror.org/024mrxd33 ror Roberts, Holly University of Leeds https://ror.org/024mrxd33 ror Moorcroft, Samuel C. T. https://orcid.org/0000-0002-4028-2124 University of Leeds https://ror.org/024mrxd33 ror Valleley, Elizabeth M. A. https://orcid.org/0000-0002-7156-4415 University of Leeds https://ror.org/024mrxd33 ror Coletta, P. Louise https://orcid.org/0000-0002-3858-6073 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: Excel communications, Wellcome Trust Publication date: 2023 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: s.d.evans@leeds.ac.uk Last Modified: 02 Sep 2024 12:28

Files

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