Combating Prozone Effects and Predicting the Dynamic Range of Naked-Eye Nanoplasmonic Biosensors through Capture Bioentity Optimization Article Swipe
Zoe Bradley
,
Nikhil Bhalla
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1021/acsmeasuresciau.4c00010
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1021/acsmeasuresciau.4c00010
Accurately quantifying high analyte concentrations poses a challenge due to the common occurrence of the prozone or hook effect within sandwich assays utilized in plasmonic nanoparticle-based lateral flow devices (LFDs). As a result, LFDs are often underestimated compared to other biosensors with concerns surrounding their specificity and sensitivity toward the target analyte. To address this limitation, here we develop an analytical model capable of predicting the prozone effect and subsequently the dynamic range of the biosensor based on the concentration of the capture antibody. To support our model, we conduct a sandwich immunoassay to detect C-reactive protein (CRP) in a phosphate-buffered saline (PBS) buffer using an LFD. Within the experiment, we investigate the relationship between the CRP dynamic range and the prozone effect as a function of the capture antibody concentration, which is increased from 0.1 to 2 mg/mL. The experimental results, while supporting the developed analytical model, show that increasing the capture antibody concentration increases the dynamic range. The developed model therefore holds the potential to expand the measurable range and reduce costs associated with quantifying biomarkers in diverse diagnostic assays. This will ultimately allow LFDs to have better clinical significance before the prozone effect becomes dominant.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1021/acsmeasuresciau.4c00010
- https://pubs.acs.org/doi/pdf/10.1021/acsmeasuresciau.4c00010
- OA Status
- gold
- Cited By
- 4
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396721071
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4396721071Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1021/acsmeasuresciau.4c00010Digital Object Identifier
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Combating Prozone Effects and Predicting the Dynamic Range of Naked-Eye Nanoplasmonic Biosensors through Capture Bioentity OptimizationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-05-08Full publication date if available
- Authors
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Zoe Bradley, Nikhil BhallaList of authors in order
- Landing page
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https://doi.org/10.1021/acsmeasuresciau.4c00010Publisher landing page
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https://pubs.acs.org/doi/pdf/10.1021/acsmeasuresciau.4c00010Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://pubs.acs.org/doi/pdf/10.1021/acsmeasuresciau.4c00010Direct OA link when available
- Concepts
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Analyte, Biosensor, Immunoassay, Microfluidics, Range (aeronautics), Nanotechnology, Materials science, Biological system, Chromatography, Chemistry, Computer science, Antibody, Immunology, Biology, Composite materialTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
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2025: 3, 2024: 1Per-year citation counts (last 5 years)
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24Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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