ReviewInternational journal of nanomedicine2026
SERS for Infectious Disease Diagnostics: An Advanced Platform for Pathogen Detection and Antimicrobial Resistance Analysis.
Review in International journal of nanomedicine, 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.
- Next-Generation SERS Probes: Engineering Hotspots, Intelligent Molecular Targeting, and AI-Driven Spectral Analysis for Emerging Applications.Nanomaterials (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infectious diseases caused by pathogenic bacteria remain a major challenge for global public health. Rapid and accurate pathogen identification, as well as antimicrobial resistance (AMR) analysis, are crucial for the timely control and treatment of infectious diseases. Surface-enhanced Raman spectroscopy (SERS) is an analytical technique that combines Raman spectroscopy with the localized surface plasmon resonance (LSPR) effect of nanomaterials, featuring rapidity, non-destructiveness, high sensitivity, and specificity. This demonstrates significant potential for the diagnosis and treatment of infectious diseases. This article primarily expounds on the application of SERS in the detection of bacteria, viruses, fungi, and AMR; explores the use of multi-modal innovative technologies integrating SERS with nanotechnology, microfluidics, and deep learning in pathogen identification and AMR analysis; and discusses the challenges and prospects for clinical translation of SERS.
Indexed as
Identifiers
What Socratic 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 Socratic graph.