ReviewACS nano2026
Bioanalysis Using Surface-Enhanced Raman Spectroscopy: From the Perspective of Single Molecules.
Review in ACS nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-molecule surface-enhanced Raman spectroscopy (SM-SERS), with single-molecule sensitivity and fingerprint-like specificity, has become a rising tool for probing the physicochemical properties of biomolecules at a single-molecule level. Notably, SM-SERS is generally achieved by complex methodologies with the assistance of rationally designed substrates and single-molecule techniques, often accompanied by significant technical challenges. Given the persistent issues of reproducibility and reliability, this critical perspective does not aim to provide a comprehensive review but instead progresses from a selective overview of representative SM-SERS methods and features to a detailed discussion of its intrinsic and often overlooked limitations, including the long-existing signal intensity fluctuations (SIFs), sample degradation, and the emerging challenge of big data processing and analysis. It is aimed to provide a conceptual framework that advances both the fundamental understanding and practical application of SM-SERS in future research.
Indexed as
Identifiers
What OpenQuestion holds
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.