ReviewFoods (Basel, Switzerland)2022
Non-Destructive Techniques for the Analysis and Evaluation of Meat Quality and Safety: A Review.
Review in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed, 98 citations in OpenAlex.
- Advances in Sensing Techniques and Deep Learning for Food Quality Detection: Opportunities, Challenges, and Perspectives from Image Recognition to Multimodal Data Fusion.Foods (Basel, Switzerland) · 2026Review
- Quality Assessment in Frozen Seafood: Advances in Sensing Technologies and Artificial Intelligence.Foods (Basel, Switzerland) · 2026Review
- The future of meat: innovations in production within an expanding and sustainable food system.Food science of animal resources · 2026Review
- Machine learning-based prediction and quality control of meat and meat products: applications for intelligent quality management in the meat industry.Food science of animal resources · 2026Review
- Improving Meat Quality and Lipid Metabolism of Finishing Pigs by Replacing Dietary Soybean Meal with Enzyme-Bacteria Co-Fermented Rapeseed Meal.Foods (Basel, Switzerland) · 2026Article
- Recent Advances in Spectroscopy and Imaging Techniques for Nondestructive Detection of Meat Quality and Safety.Food science & nutrition · 2025Review
- Uncovering Analytical Patterns for Hazardous Components in Agricultural Production Systems.Foods (Basel, Switzerland) · 2025Review
- Integrated Ultra-Wideband Microwave System to Measure Composition Ratio Between Fat and Muscle in Multi-Species Tissue Types.Sensors (Basel, Switzerland) · 2025Article
- Advances in Hyperspectral Imaging Technology for Grain Quality and Safety Detection: A Review.Foods (Basel, Switzerland) · 2025Review
- Intelligent Gas Sensors for Food Safety and Quality Monitoring: Advances, Applications, and Future Directions.Foods (Basel, Switzerland) · 2025Review
- Electrochemical Biosensors Driving Model Transformation for Food Testing.Foods (Basel, Switzerland) · 2025Review
- A Comprehensive Review of Artificial Intelligence (AI)-Driven Approaches to Meat Quality and Safety.Food science of animal resources · 2025Review
- Integration of non-invasive and conventional systems for quality assessment and authentication of meat stuffs: A review with bibliometric analysis.Food chemistry: X · 2025Review
- Innovative Technologies Reshaping Meat Industrialization: Challenges and Opportunities in the Intelligent Era.Foods (Basel, Switzerland) · 2025Review
- Advances in Non-Thermal Processing of Meat and Monitoring Meat Protein Gels Through Vibrational Spectroscopy.Foods (Basel, Switzerland) · 2025Review
- Influence of Halal Slaughter on the Colour, Odour, Flavour, and Textural Properties of Beef.Animals : an open access journal from MDPI · 2025Article
- Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization.Sensors (Basel, Switzerland) · 2025Article
- Recent Advances in Food Safety: Nanostructure-Sensitized Surface-Enhanced Raman Sensing.Foods (Basel, Switzerland) · 2025Review
- Advances in the Identification Methods of Food-Medicine Homologous Herbal Materials.Foods (Basel, Switzerland) · 2025Review
- Advances in Computer Vision and Spectroscopy Techniques for Non-Destructive Quality Assessment ofFoods (Basel, Switzerland) · 2025Review
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 at 2 institutions in 1 country.
Funding
Abstract
With the continuous development of economy and the change in consumption concept, the demand for meat, a nutritious food, has been dramatically increasing. Meat quality is tightly related to human life and health, and it is commonly measured by sensory attribute, chemical composition, physical and chemical property, nutritional value, and safety quality. This paper surveys four types of emerging non-destructive detection techniques for meat quality estimation, including spectroscopic technique, imaging technique, machine vision, and electronic nose. The theoretical basis and applications of each technique are summarized, and their characteristics and specific application scope are compared horizontally, and the possible development direction is discussed. This review clearly shows that non-destructive detection has the advantages of fast, accurate, and non-invasive, and it is the current research hotspot on meat quality evaluation. In the future, how to integrate a variety of non-destructive detection techniques to achieve comprehensive analysis and assessment of meat quality and safety will be a mainstream trend.
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.