ReviewNanomaterials (Basel, Switzerland)2019
Label-Free MicroRNA Optical Biosensors.
Review in Nanomaterials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Soluble polymeric system reducing non-specific interactions in plasmonic biosensor-based detection of carcinoembryonic antigen.Analytical and bioanalytical chemistry · 2026Article
- Nanomaterial-Based Sensing Systems to Detect Neuropharmaceutical Compounds and Neurotransmitters.Sensors (Basel, Switzerland) · 2025Review
- Advancements and Perspectives in Optical Biosensors.ACS omega · 2024Review
- Simultaneous Detection of Exosomal microRNAs Isolated from Cancer Cells Using Surface Acoustic Wave Sensor Array with High Sensitivity and Reproducibility.Micromachines · 2024Article
- microRNA Detection via Nanostructured Biochips for Early Cancer Diagnostics.International journal of molecular sciences · 2023Review
- miRNAs as Predictors of Barrier Integrity.Biosensors · 2023Review
- Ultrasensitive tapered optical fiber refractive index glucose sensor.Scientific reports · 2023Article
- Extracellular Vesicle-microRNAs as Diagnostic Biomarkers in Preterm Neonates.International journal of molecular sciences · 2023Review
- Neuro-nanotechnology: diagnostic and therapeutic nano-based strategies in applied neuroscience.Biomedical engineering online · 2023Review
- Device Processing Challenges for Miniaturized Sensing Systems Targeting Biological Fluids.Biomedical materials & devices (New York, N.Y.) · 2022Review
- Label-free optical biosensors in the pandemic era.Nanophotonics (Berlin, Germany) · 2022Review
- Prospects of Biosensors Based on Functionalized and Nanostructured Solitary Materials: Detection of Viral Infections and Other Risks.ACS omega · 2022Review
- Review
- Article
- Optimizing nanoparticle design and surface modification toward clinical translation.MRS bulletin · 2021Review
- Label-Free Biosensors for Laboratory-Based Diagnostics of Infections: Current Achievements and New Trends.Biosensors · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
MicroRNAs (miRNAs) play crucial roles in regulating gene expression. Many studies show that miRNAs have been linked to almost all kinds of disease. In addition, miRNAs are well preserved in a variety of specimens, thereby making them ideal biomarkers for biosensing applications when compared to traditional protein biomarkers. Conventional biosensors for miRNA require fluorescent labeling, which is complicated, time-consuming, laborious, costly, and exhibits low sensitivity. The detection of miRNA remains a big challenge due to their intrinsic properties such as small sizes, low abundance, and high sequence similarity. A label-free biosensor can simplify the assay and enable the direct detection of miRNA. The optical approach for a label-free miRNA sensor is very promising and many assays have demonstrated ultra-sensitivity (aM) with a fast response time. Here, we review the most relevant label-free microRNA optical biosensors and the nanomaterials used to enhance the performance of the optical biosensors.
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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.