ReviewMolecules (Basel, Switzerland)2020
Extracellular Vesicle Identification Using Label-Free Surface-Enhanced Raman Spectroscopy: Detection and Signal Analysis Strategies.
Review in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed.
- Extracellular Vesicles: Classification, Biological Functions, Diseases, and Therapeutic Opportunities.MedComm · 2026Review
- Gold- or Silver-Nanoparticle SERS Platforms for Plasma-Based Diagnostics and AI-Driven Analysis.Sensors (Basel, Switzerland) · 2026Review
- Glycosylation of Extracellular Vesicles: Analytical and Translational Insights into Biomarker Discovery and Regenerative Medicine.International journal of molecular sciences · 2026Review
- Exosomes in Clinical Laboratory: From Biomarker Discovery to Diagnostic Implementation.Medicina (Kaunas, Lithuania) · 2025Review
- Central Nervous System-Derived Extracellular Vesicles as Biomarkers in Alzheimer's Disease.International journal of molecular sciences · 2025Review
- Plasmonic Mesoporous Gold-Based SERS Biosensor for Ovarian Cancer-Derived Extracellular Vesicles.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Advanced Multipurpose Spectroscopic Nanobio-Device for Concurrent Lab-on-a-Chip Label-Free Separation and Detection of Extracellular Vesicles as Key-Biomarkers for Point-of-Care Cardiovascular Disease Diagnostics.Advanced healthcare materials · 2025Article
- Microfluidic Liquid Biopsy Minimally Invasive Cancer Diagnosis by Nano-Plasmonic Label-Free Detection of Extracellular Vesicles: Review.International journal of molecular sciences · 2025Review
- Illuminating extracellular nanovesicles through the spectroscopic lens: a mini review of cutting-edge insights and emerging applications.Frontiers in bioengineering and biotechnology · 2025Review
- Small extracellular vesicle-associated surface protein biomarkers: emerging roles, opportunities, and challenges in diagnostics.Frontiers in bioengineering and biotechnology · 2025Review
- AI in SERS sensing moving from discriminative to generative.Npj biosensing · 2025Review
- Extracellular Vesicle Preparation and Analysis: A State-of-the-Art Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Deep autoencoder as an interpretable tool for Raman spectroscopy investigation of chemical and extracellular vesicle mixtures.Biomedical optics express · 2024Article
- Extracellular vesicles as tools and targets in therapy for diseases.Signal transduction and targeted therapy · 2024Review
- Cancer diagnosis using label-free SERS-based exosome analysis.Theranostics · 2024Review
- Single test-based diagnosis of multiple cancer types using Exosome-SERS-AI for early stage cancers.Nature communications · 2023Article
- SERS spectroscopy with machine learning to analyze human plasma derived sEVs for coronary artery disease diagnosis and prognosis.Bioengineering & translational medicine · 2023Article
- A Review of Labeling Approaches Used in Small Extracellular Vesicles Tracing and Imaging.International journal of nanomedicine · 2023Review
- Current and Future Advancements of Raman Spectroscopy Techniques in Cancer Nanomedicine.International journal of molecular sciences · 2021Review
- Surface enhanced Raman scattering of extracellular vesicles for cancer diagnostics despite isolation dependent lipoprotein contamination.Nanoscale · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Extracellular vesicles (EVs) have been widely investigated as promising biomarkers for the liquid biopsy of diseases, owing to their countless roles in biological systems. Furthermore, with the notable progress of exosome research, the use of label-free surface-enhanced Raman spectroscopy (SERS) to identify and distinguish disease-related EVs has emerged. Even in the absence of specific markers for disease-related EVs, label-free SERS enables the identification of unique patterns of disease-related EVs through their molecular fingerprints. In this review, we describe label-free SERS approaches for disease-related EV pattern identification in terms of substrate design and signal analysis strategies. We first describe the general characteristics of EVs and their SERS signals. We then present recent works on applied plasmonic nanostructures to sensitively detect EVs and notable methods to interpret complex spectral data. This review also discusses current challenges and future prospects of label-free SERS-based disease-related EV pattern identification.
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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.