ArticleRSC advances2023
Alkyne-tethered oligodeoxynucleotides that allow simultaneous detection of multiple DNA/RNA targets using Raman spectroscopy.
Article in RSC advances, 2023. 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
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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.
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Who cites it
1 citing paper in PubMed, 5 citations in OpenAlex.
- Recent advances in Raman probes for multiplexed bioimaging.Inflammation and regeneration · 2025Review
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Detection of multiple DNA/RNA targets is essential for understanding cellular function. Herein, we propose a general method for the simultaneous detection of plural nucleic acids based on surface-enhanced Raman scattering (SERS) using gold nanoparticles bearing functional oligodeoxynucleotides (ODNs) on their surface. Modified ODNs bearing an acetylene tag hybridized with their complementary ODNs on the surface of the gold nanoparticles, inducing a strong SERS signal of the acetylene tag. The addition of the target nucleic acid to the system resulted in a spontaneous displacement of the strand on the particle and dissociation of the alkyne-tagged ODN from the particle, resulting in a dramatic decrease in signal intensity. By using an alkyne tag for each of the multiple target nucleic acids, each target could be detected simultaneously. In addition, we successfully detected cellular microRNA. Different targets showed changes with different wavenumbers in the Raman spectra, allowing for the detection of multiple nucleic acids.
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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.