ReviewMicromachines2026
Colorimetric Sensor Arrays Technology in Food Quality and Safety Analysis.
Review in Micromachines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Carbon Quantum Dots-Enhanced Polyvinyl Alcohol: A Comprehensive Approach to Food Preservation.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
4 authors.
Funding
Abstract
Colorimetric sensor array (CSA) technology has been increasingly applied in food quality and safety analysis due to its advantages of low cost, visual readout, high sensitivity and suitability for on-site monitoring. However, a dedicated review that systematically integrates advances in sensing materials, application scenarios, analytical strategies and practical implementation of CSA technology for real food matrices is still lacking. This review summarizes the fundamental characteristics of CSA technology from the relevant studies published during the past 5 years. The literature was retrieved using keywords such as "colorimetric sensor array" and "food quality detection," and was filtered by predefined criteria prioritizing original research with verified sensing performance and practical validation in food applications. Emphasis is placed on the design and performance of sensitive materials. Furthermore, using a task-oriented framework, representative studies on CSA applications in food spoilage detection, adulteration identification, food composition analysis, contamination monitoring, food storage monitoring and volatile compound detection are discussed. In addition, the integration of CSA systems with portable devices, machine learning algorithms and intelligent detection platforms is critically analyzed. Finally, the detection characteristics, current challenges and future development prospects of CSA technology in food quality and safety analysis are highlighted. This review is expected to provide valuable insights for further development, optimization and practical implementation of intelligent CSA-based sensing systems in the food industry.
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.