ArticleRSC advances2024
Ultrasensitive detection of antimicrobial resistance genes using hybridization chain reaction employing carbon dots.
Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Biosensor Based on pSi-SU-8-GQD Heterostructures for Enhanced Viral Detection by Dual Signal Amplification Strategy.ACS omega · 2026Article
- A Facile Ratiometric Fluorescent Biosensor Using Blue-emitting Carbon Dots and Acriflavine for Quantitative Detection of DNA.Journal of fluorescence · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the top 10 global concerns include AntiMicrobial Resistance (AMR), which warrants the need to develop materials and methods for detection of AMR genes. Here, we propose a proof-of-concept approach for selective and ultrasensitive detection of AMR gene employing fluorescent carbon dots. Waste pistachio shell derived green emissive carbon dots (PCDs) with a high quantum yield of 24 were prepared
Identifiers
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.