ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2020
A Biomimetic Plasmonic Nanoreactor for Reliable Metabolite Detection.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Gold- or Silver-Nanoparticle SERS Platforms for Plasma-Based Diagnostics and AI-Driven Analysis.Sensors (Basel, Switzerland) · 2026Review
- Surface-enhanced Raman spectroscopy analysis of glucose in spent embryo culture medium: correlation with embryo developmental potential.Frontiers in cell and developmental biology · 2026Article
- Plasmonic Fluorescence Enhancement in Diagnostics for Clinical Tests at Point-of-Care: A Review of Recent Technologies.Advanced materials (Deerfield Beach, Fla.) · 2023Review
- Article
- Nanomaterials-assisted metabolic analysis toward in vitro diagnostics.Exploration (Beijing, China) · 2022Review
- Dielectric Walls/Layers Modulated 3D Periodically Structured SERS Chips: Design, Batch Fabrication, and Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Article
- Human metabolite detection by surface-enhanced Raman spectroscopy.Materials today. Bio · 2022Article
- A Copper-Based Biosensor for Dual-Mode Glucose Detection.Frontiers in chemistry · 2022Article
- Smartphone-integrated colorimetric sensor array-based reader system and fluorometric detection of dopamine in male and female geriatric plasma by bluish-green fluorescent carbon quantum dots.Materials today. Bio · 2021Article
- Ultra-Fast Label-Free Serum Metabolic Diagnosis of Coronary Heart Disease via a Deep Stabilizer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Article
- Nano-Biomaterials for Retinal Regeneration.Nanomaterials (Basel, Switzerland) · 2021Review
- Machine learning of serum metabolic patterns encodes early-stage lung adenocarcinoma.Nature communications · 2020Article
- A Biomimetic Plasmonic Nanoreactor for Reliable Metabolite Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reliable monitoring of metabolites in biofluids is critical for diagnosis, treatment, and long-term management of various diseases. Although widely used, existing enzymatic metabolite assays face challenges in clinical practice primarily due to the susceptibility of enzyme activity to external conditions and the low sensitivity of sensing strategies. Inspired by the micro/nanoscale confined catalytic environment in living cells, the coencapsulation of oxidoreductase and metal nanoparticles within the nanopores of macroporous silica foams to fabricate all-in-one bio-nanoreactors is reported herein for use in surface-enhanced Raman scattering (SERS)-based metabolic assays. The enhancement of catalytical activity and stability of enzyme against high temperatures, long-time storage or proteolytic agents are demonstrated. The nanoreactors recognize and catalyze oxidation of the metabolite, and provide ratiometric SERS response in the presence of the enzymatic by-product H
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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.