ReviewSensors (Basel, Switzerland)2021
Sensing Technology for Fish Freshness and Safety: A Review.
Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- LLM-guided expert feature extraction with fusion-based complementary learning network for fish freshness classification using eye images.Scientific reports · 2026Article
- Spatiotemporal Patterns of Aquatic Product Risks in China Based on Entropy-Weighted TOPSIS.Foods (Basel, Switzerland) · 2025Article
- A Deep Learning-Based Sensing System for Identifying Salmon and Rainbow Trout Meat and Grading Freshness for Consumer Protection.Sensors (Basel, Switzerland) · 2025Article
- Leveraging Feature Fusion of Image Features and Laser Reflectance for Automated Fish Freshness Classification.Sensors (Basel, Switzerland) · 2025Article
- Monitoring the Spoilage of Fresh Sterlet (Foods (Basel, Switzerland) · 2025Article
- Fish species identification on low resolution-a study with enhanced super-resolution generative adversarial network (ESRGAN), YOLO and VGG-16.PeerJ. Computer science · 2025Article
- A Review of Advanced Sensor Technologies for Aquatic Products Freshness Assessment in Cold Chain Logistics.Biosensors · 2024Review
- Determination of Freshness of Mackerel (Foods (Basel, Switzerland) · 2023Article
- Rapid Assessment of Fish Freshness for Multiple Supply-Chain Nodes Using Multi-Mode Spectroscopy and Fusion-Based Artificial Intelligence.Sensors (Basel, Switzerland) · 2023Article
- The Effects of Postmortem Time on Muscle Trout Biochemical Composition and Structure.Foods (Basel, Switzerland) · 2023Article
- Review
- Assessment and Prediction of Fish Freshness Using Mathematical Modelling: A Review.Foods (Basel, Switzerland) · 2022Review
- Emerging Approach for Fish Freshness Evaluation: Principle, Application and Challenges.Foods (Basel, Switzerland) · 2022Review
- Starch/Polyaniline Biopolymer Film as Potential Intelligent Food Packaging with Colourimetric Ammonia Sensor.Polymers · 2022Article
- Origin of static magnetic field induced quality improvement in sea bass (Frontiers in nutrition · 2022Article
- Occurrence and Development of Off-Odor Compounds in Farmed Hybrid Catfish (Foods (Basel, Switzerland) · 2021Article
- A Magnetic Food Texture Sensor and Comparison of the Measurement Data of Chicken Nuggets.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Standard analytical methods for fish freshness assessment are based on the measurement of chemical and physical attributes related to fish appearance, color, meat elasticity or texture, odor, and taste. These methods have plenty of disadvantages, such as being destructive, expensive, and time consuming. All these techniques require highly skilled operators. In the last decade, rapid advances in the development of novel techniques for evaluating food quality attributes have led to the development of non-invasive and non-destructive instrumental techniques, such as biosensors, e-sensors, and spectroscopic methods. The available scientific reports demonstrate that all these new techniques provide a great deal of information with only one test, making them suitable for on-line and/or at-line process control. Moreover, these techniques often require little or no sample preparation and allow sample destruction to be avoided.
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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.