ArticleACS applied electronic materials2025
Hydrogel In-Tape Electronic Tongue.
Article in ACS applied electronic materials, 2025. 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
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
2 citing papers in PubMed.
- Review
- Biomimetic Cobalt Complex Stabilized by Hydrogel on High-Edge-Density Graphite for ORR and HER in Quiescent Solutions.Langmuir : the ACS journal of surfaces and colloids · 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An electronic tongue is a sensor-based system designed to mimic human taste by detecting and analyzing the chemical properties of liquids through electrochemical methods. Here, we introduce the HITS concept, an electronic tongue system that enables rapid and sequential classification of various beverages. This system utilizes a single, cost-effective platform with interdigital electrodes made of carbon printed on recyclable poly(ethylene terephthalate) (PET), significantly reducing the need for multiple electrodes. With the use of interchangeable hydrogel tapes, the system requires a single deep (150 μL) pore per analysis, allowing for efficient sequential testing. The hydrogel seamlessly accommodates the electrode interface and operates with a semisolid electrolyte, achieving ultrafast analysis times of just 5 min. Employing AI and machine learning algorithms, HITS accurately differentiated between coffee, juice, water, white wine, and red wine with a 100% success rate. This sustainable approach combines high precision, speed, and low environmental impact, offering a versatile solution for various technological applications, including food science, quality control, and health monitoring. This e-solution not only enhances precision and speed but also aligns with growing environmental concerns, offering a low-impact and scalable platform for advanced liquid analysis.
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.