ArticleSensors (Basel, Switzerland)2019
Freshness Evaluation of Three Kinds of Meats Based on the Electronic Nose.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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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.
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Who cites it
27 citing papers in PubMed.
- Hybrid Sensor Array Electronic Nose for Pork Quality Monitoring.Foods (Basel, Switzerland) · 2026Article
- Investigation towards nanomechanical sensor array for real-time detection of complex gases.Microsystems & nanoengineering · 2025Article
- A Novel Image-Based Assessment for Pork Quality Classification via Electrochemical Impedance Combined With Sensory Evaluation.Food science & nutrition · 2025Article
- A Review of Advanced Sensor Technologies for Aquatic Products Freshness Assessment in Cold Chain Logistics.Biosensors · 2024Review
- Graphene Thermal Infrared Emitters Integrated into Silicon Photonic Waveguides.ACS photonics · 2024Article
- Article
- Unraveling the Chicken Meat Volatilome with Nanostructured Sensors: Impact of Live and Dehydrated Insect Larvae Feeding.Sensors (Basel, Switzerland) · 2024Article
- Inclusion of Beef Heart in Ground Beef Patties Alters Quality Characteristics and Consumer Acceptability as Assessed by the Application of Electronic Nose and Tongue Technology.Foods (Basel, Switzerland) · 2024Article
- Research on Automatic Classification and Detection of Mutton Multi-Parts Based on Swin-Transformer.Foods (Basel, Switzerland) · 2023Article
- Beef Quality Classification with Reduced E-Nose Data Features According to Beef Cut Types.Sensors (Basel, Switzerland) · 2023Article
- Applications of Electronic Nose, Electronic Eye and Electronic Tongue in Quality, Safety and Shelf Life of Meat and Meat Products: A Review.Sensors (Basel, Switzerland) · 2023Review
- Recent Applications of Potentiometric Electronic Tongue and Electronic Nose in Sensory Evaluation.Preventive nutrition and food science · 2022Review
- Correlation between microbial community and flavour formation in dry-cured squid analysed by next-generation sequencing and molecular sensory analysis.Food chemistry: X · 2022Article
- A Virtual Electronic Nose for the Efficient Classification and Quantification of Volatile Organic Compounds.Sensors (Basel, Switzerland) · 2022Article
- The Use of Electronic Nose in the Quality Evaluation and Adulteration Identification of Beijing-You Chicken.Foods (Basel, Switzerland) · 2022Article
- Effect of Freeze-Thaw Cycles on Juice Properties, Volatile Compounds and Hot-Air Drying Kinetics of Blueberry.Foods (Basel, Switzerland) · 2021Article
- An Improved Residual Network for Pork Freshness Detection Using Near-Infrared Spectroscopy.Entropy (Basel, Switzerland) · 2021Article
- Development of a Novel Gas-Sensing Platform Based on a Network of Metal Oxide Nanowire Junctions Formed on a Suspended Carbon Nanomesh Backbone.Sensors (Basel, Switzerland) · 2021Article
- Utilization of Electrical Impedance Spectroscopy and Image Classification for Non-Invasive Early Assessment of Meat Freshness.Sensors (Basel, Switzerland) · 2021Article
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Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The aim of this study was to use an electronic nose set up in our lab to detect and predict the freshness of pork, beef and mutton. Three kinds of freshness, including fresh, sub-fresh and putrid, was established by human sensory evaluation and was used as a reference for the electronic nose's discriminant factor analysis. The principal component analysis results showed the electronic nose could distinguish well pork, beef and mutton samples with different storage times. In the PCA figures, three kinds of meats samples all presented an approximate parabola trend during 7 days' storage time. The discriminant factor analysis showed electronic nose could distinguish and judge well the freshness of samples (accuracy was 89.5%, 84.2% and 94.7% for pork, beef and mutton, respectively). Therefore, the electronic nose is promising for meat fresh detection application.
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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.