ReviewBiomedicines2021
Nanomaterial-Based Fluorescence Resonance Energy Transfer (FRET) and Metal-Enhanced Fluorescence (MEF) to Detect Nucleic Acid in Cancer Diagnosis.
Review in Biomedicines, 2021. 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.
- Plasmonic Nanoarray Biosensors for Non-Invasive Cancer Diagnostics.Biosensors · 2026Review
- Sensitive detection of unopposed estrogen using estrogen receptor functionalized nanoprobes for cancer diagnosis.Discover nano · 2026Review
- Nano-biosensors for circulating tumor markers: advancing liquid biopsy toward precision cancer diagnostics.Journal of cancer research and clinical oncology · 2026Review
- Recent Advances on Sensor Technologies for the Monitoring of Tumor Markers.Molecules (Basel, Switzerland) · 2026Review
- Review
- CRISPR/Cas-Based Nanobiosensor Using Plasmonic Nanomaterials to Detect Disease Biomarkers.Biochip journal · 2025Review
- Bacteria-Based Nanoprobes for Cancer Therapy.International journal of nanomedicine · 2024Review
- Detection of pioglitazone based on dual-emission ratiometric fluorescence probe consisting of ZIF8 and to L-ASC-AuNP/DA nanoparticles.Mikrochimica acta · 2023Article
- Light-Driven Energy and Charge Transfer Processes between Additives within Electrospun Nanofibres.Molecules (Basel, Switzerland) · 2023Review
- Wavelength-Dependent Metal-Enhanced Fluorescence Biosensors via Resonance Energy Transfer Modulation.Biosensors · 2023Review
- Nanotechnology-Assisted Biosensors for the Detection of Viral Nucleic Acids: An Overview.Biosensors · 2023Review
- Current research status of tumor cell biomarker detection.Microsystems & nanoengineering · 2023Review
- Review
- [Research progress on the fluorescence resonance energy transfer-based polymer micelles as drug carriers].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022Review
- Introduction of Nanomaterials to Biosensors for Exosome Detection: Case Study for Cancer Analysis.Biosensors · 2022Review
- A novel therapeutic strategy of multimodal nanoconjugates for state-of-the-art brain tumor phototherapy.Journal of nanobiotechnology · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Nucleic acids, including DNA and RNA, have received prodigious attention as potential biomarkers for precise and early diagnosis of cancers. However, due to their small quantity and instability in body fluids, precise and sensitive detection is highly important. Taking advantage of the ease-to-functionality and plasmonic effect of nanomaterials, fluorescence resonance energy transfer (FRET) and metal-enhanced fluorescence (MEF)-based biosensors have been developed for accurate and sensitive quantitation of cancer-related nucleic acids. This review summarizes the recent strategies and advances in recently developed nanomaterial-based FRET and MEF for biosensors for the detection of nucleic acids in cancer diagnosis. Challenges and opportunities in this field are also discussed. We anticipate that the FRET and MEF-based biosensors discussed in this review will provide valuable information for the sensitive detection of nucleic acids and early diagnosis of cancers.
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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.