ReviewFoods (Basel, Switzerland)2024
Intelligent System/Equipment for Quality Deterioration Detection of Fresh Food: Recent Advances and Application.
Review in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed.
- Meat Freshness Monitoring in the Modern Supply Chain: Analytical Advances, Smart Packaging, and Digital Integration.Food science & nutrition · 2026Review
- Robotic Tactile Sensing for Early Detection of Frost-Damaged Citrus Fruits with Pressure-Vibration Multimodal Fusion.Foods (Basel, Switzerland) · 2026Article
- Investigation and Rapid Determination of Storage-Induced Multidimensional Quality Deterioration of Wenyujin Rhizoma Concisum.Foods (Basel, Switzerland) · 2026Article
- Novel Garlic Carbon Dot-Incorporated Starch Whey Protein Emulsion Gel for Apple Spoilage Sensing.Gels (Basel, Switzerland) · 2026Article
- A Comprehensive Review on Sensor-Based Electronic Nose for Food Quality and Safety.Sensors (Basel, Switzerland) · 2025Review
- Enhanced RF analog linearity in metal gate modulated heterojunction based uniform TFET for label-free detection of dengue NS1 protein.Scientific reports · 2025Article
- Ultrasound in the Food Industry: Mechanisms and Applications for Non-Invasive Texture and Quality Analysis.Foods (Basel, Switzerland) · 2025Review
- The role of microbiota in fish spoilage: biochemical mechanisms and innovative preservation strategies.Antonie van Leeuwenhoek · 2025Review
- Insights of freshness phenotype detection for postharvest fruit and vegetables.Plant phenomics (Washington, D.C.) · 2025Review
- pH-Responsive Bacterial Nanocellulose Smart Labels Derived from Acid Whey for Estimating Beef Mince Quality Alterations During Storage.Foods (Basel, Switzerland) · 2025Article
- A High-Sensitivity Inkjet-Printed Flexible Resonator for Monitoring Dielectric Changes in Meat.Sensors (Basel, Switzerland) · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The quality of fresh foods tends to deteriorate rapidly during harvesting, storage, and transportation. Intelligent detection equipment is designed to monitor and ensure product quality in the supply chain, measure appropriate food quality parameters in real time, and thus minimize quality degradation and potential financial losses. Through various available tracking devices, consumers can obtain actionable information about fresh food products. This paper reviews the recent progress in intelligent detection equipment for sensing the quality deterioration of fresh foods, including computer vision equipment, electronic nose, smart colorimetric films, hyperspectral imaging (HSI), near-infrared spectroscopy (NIR), nuclear magnetic resonance (NMR), ultrasonic non-destructive testing, and intelligent tracing equipment. These devices offer the advantages of high speed, non-destructive operation, precision, and high sensitivity.
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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.