ArticleScientific reports2025
Ultrasensitive optical detection of Fe
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Carbon Quantum Dots-Enhanced Polyvinyl Alcohol: A Comprehensive Approach to Food Preservation.Comprehensive reviews in food science and food safety · 2026Review
- L-Lactic Acid-Based N-Doped Carbon Quantum Dots with Phenylenediamine Isomers as a Nitrogen Source for the Highly Sensitive Detection of FeMaterials (Basel, Switzerland) · 2026Article
- Carbon Quantum Dot-Based Sensors: Photochemical Principles and Multimodal Applications.Materials (Basel, Switzerland) · 2026Review
- Fe-Doped Carbon Quantum Dots with Magneto-Fluorescent Dual Modality for Fluorescence and Magnetic Resonance Readouts.Sensors (Basel, Switzerland) · 2026Article
- Stable nitrogen-doped carbon quantum dots with pH-controlled fluorescence response for FeScientific reports · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We report for the first time the synthesis of carbon quantum dots (CQDs) derived from Simmondsia chinensis (jojoba) leaves using a hydrothermal method at 180 °C for 10 h for ultrasensitive detection of Fe
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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.