ReviewComprehensive reviews in food science and food safety2026
Integration of Colorimetric Sensing Dyes and Multi-Substrate Arrays for Food Quality and Safety Monitoring: Design, Optimization, and Analysis.
Review in Comprehensive reviews in food science and food safety, 2026. 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.
- Sustainable Nanotechnology Approaches for Rapid Food Contaminant Detection and Future Food Safety Systems.Nanomaterials (Basel, Switzerland) · 2026Review
- Integration of Colorimetric Sensing Dyes and Multi-Substrate Arrays for Food Quality and Safety Monitoring: Design, Optimization, and Analysis.Comprehensive reviews in food science and food safety · 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
7 authors.
Funding
Abstract
As food safety issues gain increasing attention, the need for rapid, accurate, and low-cost detection techniques becomes essential. Colorimetric sensors, known for their rapid response, high sensitivity, low cost, and readily observable results, are playing an increasingly important role in food quality inspection. This review article provides an in-depth discussion on the development and application of colorimetric sensing technology in the field of food detection and safety. The review outlines the fundamental principles of colorimetric sensors and provides a critical assessment of research on array dyes, substrates, and system optimization. In recent years, the optimization of functionalized precious metal nanoparticles and nanoenzymes has pushed detection limits down to the parts per billion level. Porous polymer substrates modified with synergistic flexible materials combine high adsorption, strong anti-interference, and excellent mechanical properties, providing support for integrated applications in wearable sensors and smart packaging. The integration of data acquisition and analysis techniques based on color changes is also discussed. Through an overview of the application of sensors in food safety testing, food quality control, and food production and processing monitoring, this review article highlights the significant potential of colorimetric sensor arrays (CSAs) in enhancing food safety and quality. The review also identifies current challenges, with major obstacles including environmental interference, matrix effects, and limited industrial validation. The review concludes that combining advanced sensor materials, portable and stable optical devices with online analytical platforms for real-time data extraction and simple analysis will enable CSAs to develop into a powerful on-site tool for ensuring food quality and safety.
Indexed as
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.