ReviewAnalytical and bioanalytical chemistry2025
Adsorption of serum components on Ag colloids: on the biochemical interpretation of surface-enhanced Raman spectra of human serum.
Review in Analytical and bioanalytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Surface-enhanced Raman scattering spectroscopy of human cerebrospinal fluid: protocol selection and biomolecular interpretation.Analytical and bioanalytical chemistry · 2026Article
- Machine learning-assisted SERS for rapid and accurate early screening of cervical cancer.Analytical and bioanalytical chemistry · 2026Article
- SERSome-based metabolic profiling of aqueous humor for cataract subtyping with molecule-level interpretability.Journal of nanobiotechnology · 2026Article
- Comment on "Three-Principal-Substrate SERS Profiling Enables Reliable Screening of Serum Biomarkers: A General Approach".Analytical chemistry · 2026Article
- Raman Spectroscopy in Cancer Diagnostics and Surgery: 25 Years of Progress from Surface-Enhanced Raman Spectroscopy to Artificial Intelligence─A Bibliometric and Visualized Study.Analytical chemistry · 2026Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surface-enhanced Raman scattering (SERS) spectra of human serum exhibit consistent features across studies from multiple research groups, while the biochemical interpretation of bands has not yet reached a consensus. By critically reviewing the recent literature, the methods commonly used to assign SERS bands in biofluids are re-evaluated. Data are presented from various experimental approaches to test band attribution. Analyses of serum samples spiked with various biomolecules, spectral changes induced by uricase treatment, correlation patterns among bands across a serum dataset, and spectral fitting all indicate that the primary contributors to the SERS spectrum of serum (at its unaltered physiological pH of 7.4), obtained on Ag substrates with near infrared excitation, are uric acid and hypoxanthine. Principal component analysis further reveals that most of the dataset variance-reflecting inter-individual biochemical differences-is associated with the bands of these two metabolites. Additionally, data from isotopically labeled uric acid demonstrate that both its albumin-bound and free forms, which exhibit distinct spectral signatures, contribute to the overall serum spectrum.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.