Table · dataset · 2026
An Internal-Standard-Integrated Digital SERS Immunoassay for Accurate and Precise Trace-Level Cytokine Quantification in Plasma
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Accurate and precise quantification of trace-level cytokines in complex biological matrices remains challenging, limiting their use as longitudinal biomarkers in clinical studies.
Description
Here, we present a nanotechnology-enabled surface-enhanced Raman scattering (SERS) platform incorporating an internal standard (IS) for digital, attomolar-level multiplex cytokine quantification. This platform enables precise digital trace-level detection of IL-1β, IL-6, IL-12, and TNF-α.
Using an orthogonal recombinant protein IS to correct assay- and SERS-related variability, this platform addresses key barriers to reliable trace-protein measurements and broader clinical adoption. Incorporation of the IS reduced the inter-replicate coefficient of variation from ∼40–60% to 2–3%, and improved accuracy to ∼95–105%, enabling robust cytokine quantification in human plasma. Compared with a widely used clinical electrochemiluminescence (ECL) assay, our internal-standard-integrated chip enables accurate and precise quantification while maintaining multiplex capability, consistently detecting cytokine levels near or below ECL-defined quantification limits.
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As a proof-of-concept application, we evaluated the platform using plasma samples from individuals with MDD, a clinically relevant context in which aberrant immune activation and low-level inflammation have been implicated. These measurements support the analytical robustness of the internal-standard-integrated digital SERS immunoassay and its potential utility for future longitudinal cytokine monitoring studies in complex samples.
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Where it is published
- DOI doi.org/10.1021/acs.analchem.6c03298.s001 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Astronomy & Astrophysics · Earth & Environmental Science · Immunology · Life Sciences · Medicine & Health · Physics · Plant biology · Research, science and technology policy
- Inferred from text
- Longitudinal study 65%
Provenance · 1 source records, 14 field assertions
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|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34027224 | 13 d ago | JSON v1 |
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| concepts[field].anzsrc:group:3204 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Immunology'] |
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| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |