ReviewACS measurement science au2025
Hydrogels for Analyte Sensing.
Review in ACS measurement science au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Spreadable Biosensing Pregel for Analyte Visualization in Peeled Plant Tissues.Analytical chemistry · 2026Article
- Hydrogel Bead-Based Assay for the Measurement of Protein Biomarkers in Saliva.ACS measurement science au · 2026Article
- Hydrogel-Based Sensors: Compositions, Fabrication, Sensing Mechanism, and Applications.Polymers · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hydrogels have emerged as a versatile platform technology for analyte sensing, offering unique advantages in tunable chemistry, for loading with sensors across multiple length scales, and biocompatibility. These smart materials undergo predictable changes in optical properties, conductivity, swelling, and porosity upon analyte interaction, enabling their function as biosensors. While hydrogels can respond to a variety of stimuli, their responses are most effectively quantified through optical and electrical readouts, which enable direct, real-time, and quantitative sensing in complex biological fluids. Optical approaches leverage fluorescence, chemiluminescence, and colorimetry, whereas electrical approaches leverage conductive fillers or redox-active groups. Hybrid platforms integrate multiple readout mechanisms, enhancing sensitivity, robustness, and multiplexing capabilities. Many of these systems were validated in various biological matrices, such as interstitial fluid, sweat, and wound exudates. Beyond technical advances, we discuss translational challenges including selectivity, stability, nonreversibility, signal standardization, device portability, and regulatory approval, as well as emerging opportunities in coupling hydrogel sensors with artificial intelligence for improved data interpretation and clinical integration. Together, these developments position hydrogel-based diagnostics as promising candidates for next-generation, real-time, point-of-care biosensing.
Indexed as
Identifiers
What Socratic 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 Socratic graph.