ArticleMikrochimica acta2020
An electrochemical microfluidic biochip for the detection of gliadin using MoS
Article in Mikrochimica acta, 2020. 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.
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Who cites it
5 citing papers in PubMed, 31 citations in OpenAlex.
- Aminated PET Thin Film as a Functionalized Insulating Layer for Capacitive Gliadin Aptasensor Construction.Biosensors · 2026Article
- Innovations in graphene-based electrochemical biosensors in healthcare applications.Mikrochimica acta · 2025Review
- Article
- Electrochemical Biosensors in Food Safety: Challenges and Perspectives.Molecules (Basel, Switzerland) · 2021Review
- Recent Advances in Immunosafety and Nanoinformatics of Two-Dimensional Materials Applied to Nano-imaging.Frontiers in immunology · 2021Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Testing gluten content in food, before it reaches the consumer, becomes a major challenge where cross-contamination during processing and transportation is a very common occurrence. In this study, a microfluidic electrochemical aptasensing system for the detection of gliadin has been proposed. The fabrication of the sensor involves its modification by using a combination of 2D nanomaterial molybdenum disulfide (MoS
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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.