ArticleMikrochimica acta2026
A low-background, high-output electrochemiluminescence aptasensor for ultrasensitive detection of small biomolecules.
Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
8 citing papers in PubMed.
- Next generation smart functionalized nanocomposites for ultrasensitive and real time detection of purine derived metabolic biomarkers.RSC advances · 2026Review
- Electrochemiluminescence Sensor for Uric Acid Detection Using Natural Enzyme-Confined Nanozyme Cascade.Luminescence : the journal of biological and chemical luminescence · 2026Article
- Enzymatic electrochemiluminescence sensor based on a ternary luminol-HRSC advances · 2026Article
- Nanoconfinement catalysis-enhanced electrochemiluminescence aptasensor for the sensitive detection of matrix metalloproteinase-9.RSC advances · 2026Article
- Enhanced Electrochemiluminescence by Nanocatalyst-Supported Nanochannel-Surfactant Micelle Assembly for Ultrasensitive Detection of Rifampicin.Biosensors · 2026Article
- AuPt bimetallic nanocatalyst-amplified luminol-dissolved oxygen electrochemiluminescence for interferon-γ immunosensing.Frontiers in chemistry · 2026Article
- CuFrontiers in chemistry · 2026Article
- Triple-enrichment interface enabled by surfactant-modified carbon nanotube for signal-off electrochemiluminescence detection of antitumor drug mitoxantrone.Frontiers in chemistry · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Leveraging the specific recognition capability of aptamers and the robust signal output of the Ru(bpy)32+/TPrA ECL system, a series of ECL-based aptasensors ha been developed for the detection of crucial small biomolecules. However, limitations such as low quenching efficiency and consequently limited sensitivity persist in current methods. To address these challenges, we have developed a low-background, high-output ECL signaling strategy and applied it to constructing a highly sensitive ECL aptasensor. Using ATP as a model target, the Fc-labeled aptamer effectively quenches the ECL signal, achieving a low background in the absence of ATP. Upon ATP binding, a conformational change in the aptamer restores and significantly enhances the ECL signal from the Ru(bpy)32+ luminophores. In this way, we have effectively integrated the aptamer, which serves as a specific recognition unit for the target, with a low-background, high-output ECL signaling system. The proposed sensor exhibited a linear response for ATP detection in the concentration range 10 pM to 1 µM, with a detection limit of 3.5 pM, along with excellent selectivity. The practical applicability and accuracy of the sensor were further demonstrated in real sample analyses. This method shows great promise for a wide range of applications in fields such as disease diagnosis and medical research.
Indexed as
Identifiers
41915257What 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.