AIMC Topic: Meat

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Characterization of the prevalence of Salmonella in different retail chicken supply modes using genome-wide and machine-learning analyses.

Food research international (Ottawa, Ont.) Jun 19, 2024
Salmonella is a foodborne pathogen that causes salmonellosis, of which retail chicken meat is a major source. However, the prevalence of Salmonella in different retail chicken supply modes and the threat posed to consumers remains unclear. The preval...
Machine Learning Anti-Bacterial Agents Drug Resistance, Bacterial Meat Whole Genome Sequencing Serogroup Salmonella Genome, Bacterial Animals Chickens Prevalence Food Microbiology China
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Machine learning powered CN-coordinated cobalt nanoparticles embedded cellulosic nanofibers to assess meat quality via clenbuterol monitoring.

Biosensors & bioelectronics Jun 13, 2024
The World Anti-Doping Agency (WADA) has prohibited the use of clenbuterol (CLN) because it induces anabolic muscle growth while potentially causing adverse effects such as palpitations, anxiety, and muscle tremors. Thus, it is vital to assess meat qu...
Cellulose Carbon Electrochemical Techniques Biosensing Techniques Machine Learning Cobalt Food Contamination Animals Aniline Compounds Food Analysis Nanofibers Metal Nanoparticles Clenbuterol Limit of Detection Meat
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An effective deep learning fusion method for predicting the TVB-N and TVC contents of chicken breasts using dual hyperspectral imaging systems.

Food chemistry May 28, 2024
Total volatile basic nitrogen (TVB-N) and total viable count (TVC) are important freshness indicators of meat. Hyperspectral imaging combined with chemometrics has been proven to be effective in meat detection. However, a challenge with chemometrics ...
Chickens Meat Nitrogen Hyperspectral Imaging Animals Spectroscopy, Near-Infrared Deep Learning
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Carcass traits and morphometry, typification of the Longissimus dorsi muscle and non-carcass components of hair lambs: can biscuit bran completely replace corn? A machine learning approach.

Tropical animal health and production May 13, 2024
Biscuit bran (BB) is a co-product with worldwide distribution, with Brazil as the second largest cookie producer in the world with 1,157,051 tons. We evaluate the impact of completely replacing corn with BB on the characteristics and morphometry of c...
Meat Zea mays Body Composition Male Diet Brazil Animal Feed Red Meat Sheep, Domestic Machine Learning Animals
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Fast real-time monitoring of meat freshness based on fluorescent sensing array and deep learning: From development to deployment.

Food chemistry Mar 21, 2024
A fluorescent sensor array (FSA) combined with deep learning (DL) techniques was developed for meat freshness real-time monitoring from development to deployment. The array was made up of copper metal nanoclusters (CuNCs) and fluorescent dyes, having...
Ammonia Food Storage Meat Animals Methylamines Swine Copper Deep Learning Fluorescent Dyes
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Deep learning-assisted flavonoid-based fluorescent sensor array for the nondestructive detection of meat freshness.

Food chemistry Mar 4, 2024
Gas sensors containing indicators have been widely used in meat freshness testing. However, concerns about the toxicity of indicators have prevented their commercialization. Here, we prepared three fluorescent sensors by complexing each flavonoid (fi...
Meat Nitrogen Coloring Agents Neural Networks, Computer Deep Learning Flavonoids
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Safely and autonomously cutting meat with a collaborative robot arm.

Scientific reports Jan 2, 2024
Labor shortages in the United States are impacting a number of industries including the meat processing sector. Collaborative technologies that work alongside humans while increasing production abilities may support the industry by enhancing automati...
United States Robotics Meat Industry Food-Processing Industry Pork Meat Humans
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Integrative deep learning framework predicts lipidomics-based investigation of preservatives on meat nutritional biomarkers and metabolic pathways.

Critical reviews in food science and nutrition Dec 21, 2023
Preservatives are added as antimicrobial agents to extend the shelf life of meat. Adding preservatives to meat products can affect their flavor and nutrition. This review clarifies the effects of preservatives on metabolic pathways and network molecu...
Lipidomics Triglycerides Meat Meat Products Nutritive Value Humans Proteomics Biomarkers Neural Networks, Computer Food Preservatives Animals Metabolic Networks and Pathways Deep Learning
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Combining Feature Selection Techniques and Neurofuzzy Systems for the Prediction of Total Viable Counts in Beef Fillets Using Multispectral Imaging.

Sensors (Basel, Switzerland) Nov 27, 2023
In the food industry, quality and safety issues are associated with consumers' health condition. There is a growing interest in applying various noninvasive sensorial techniques to obtain quickly quality attributes. One of them, hyperspectral/multisp...
Meat Spectroscopy, Near-Infrared Cattle Neural Networks, Computer Least-Squares Analysis Algorithms Animals
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CT image segmentation of meat sheep Loin based on deep learning.

PloS one Nov 2, 2023
There are no clear boundaries between internal tissues in sheep Computerized Tomography images, and it is difficult for traditional methods to meet the requirements of image segmentation in application. Deep learning has shown excellent performance i...
Meat Deep Learning Tomography, X-Ray Computed Sheep Image Processing, Computer-Assisted Sheep, Domestic Animals Australia Male
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