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Nanostructures as analytical tools in bioassays.
A Gómez-Hens1, J M Fernández-Romero1, M P Aguilar-Caballos1
1Department of Analytical Chemistry, "Marie Curie Annex" Building, Campus of Rabanales, University of Córdoba, E-14071 Córdoba, Spain.
Trends in Analytical Chemistry : TRAC
|April 15, 2020
Summary
This study evaluates nanostructures in immunoassays and nucleic-acid assays, highlighting practical limitations and real-world sample analysis capabilities for these advanced bioassay reagents.
Area of Science:
- Biotechnology and Nanomaterials Science
- Analytical Chemistry and Bioanalytical Assays
Background:
- Nanostructures are increasingly proposed as labels, nanoscaffolds, and separation media in bioassays.
- Many studies focus on theoretical applications, lacking validation with real biological samples and potential interferents.
- Immunoassays and nucleic-acid hybridization assays are key areas where nanostructure utility is explored.
Purpose of the Study:
- To critically evaluate the practical usefulness of nanostructures in bioassays.
- To systematically study the advantages and limitations of nanostructures as reagents in bioassays.
- To assess the applicability of nanostructure-based assays in analyzing real-world samples.
Main Methods:
- Systematic evaluation of nanostructures (labels, nanoscaffolds, separation media).
- Assessment of assay formats for individual and multiplexed detection.
- Testing assay performance in the presence of potential interferents and real sample matrices.
Main Results:
- Identified limitations of nanostructures in bioassays, particularly concerning interferents.
- Demonstrated the need for experimental validation beyond theoretical aspects.
- Evaluated the capability of nanostructure-based assays for real sample analysis.
Conclusions:
- Nanostructures offer potential but face practical challenges in bioassay implementation.
- Thorough validation, including interferent and real-sample testing, is crucial for nanostructure-based assays.
- Further research is needed to overcome limitations for widespread adoption in diagnostics.
