AIMC Topic: Food Safety

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Combining deep learning and fluorescence imaging to automatically identify fecal contamination on meat carcasses.

Scientific reports Feb 14, 2022
Food safety and foodborne diseases are significant global public health concerns. Meat and poultry carcasses can be contaminated by pathogens like E. coli and salmonella, by contact with animal fecal matter and ingesta during slaughter and processing...
Feces Chickens Escherichia coli Deep Learning Salmonella Abattoirs Animals Food Safety Optical Imaging Food Analysis Food Contamination Meat
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Food Image Recognition and Food Safety Detection Method Based on Deep Learning.

Computational intelligence and neuroscience Dec 16, 2021
With the development of machine learning, as a branch of machine learning, deep learning has been applied in many fields such as image recognition, image segmentation, video segmentation, and so on. In recent years, deep learning has also been gradua...
Deep Learning Food Safety Recognition, Psychology Neural Networks, Computer Machine Learning
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Application of machine learning to the monitoring and prediction of food safety: A review.

Comprehensive reviews in food science and food safety Dec 14, 2021
Machine learning (ML) has proven to be a useful technology for data analysis and modeling in a wide variety of domains, including food science and engineering. The use of ML models for the monitoring and prediction of food safety is growing in recent...
Machine Learning Foodborne Diseases Food Safety Bayes Theorem Humans Neural Networks, Computer
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Accurate classification of Listeria species by MALDI-TOF mass spectrometry incorporating denoising autoencoder and machine learning.

Journal of microbiological methods Nov 21, 2021
Listeria monocytogenes belongs to the category of facultative anaerobic bacteria, and is the pathogen of listeriosis, potentially lethal disease for humans. There are many similarities between L. monocytogenes and other non-pathogenic Listeria specie...
Algorithms Food Microbiology Listeria monocytogenes Humans Machine Learning Listeriosis Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Food Safety
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Recent advancement in nano-optical strategies for detection of pathogenic bacteria and their metabolites in food safety.

Critical reviews in food science and nutrition Jul 20, 2021
Pathogenic bacteria and their metabolites are the leading risk factor in food safety and are one of the major threats to human health because of the capability of triggering diseases with high morbidity and mortality. Nano-optical sensors for bacteri...
Bacteria Nanotechnology Food Safety Artificial Intelligence Biosensing Techniques Humans
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Trace Identification and Visualization of Multiple Benzimidazole Pesticide Residues on Leaves Using Terahertz Imaging Combined with Deep Learning.

International journal of molecular sciences Mar 26, 2021
Molecular spectroscopy has been widely used to identify pesticides. The main limitation of this approach is the difficulty of identifying pesticides with similar molecular structures. When these pesticide residues are in trace and mixed states in pla...
Benzimidazoles Terahertz Imaging Toona Thiabendazole Food Safety Reproducibility of Results Carbamates Pesticide Residues Density Functional Theory Deep Learning Pesticides Neural Networks, Computer Cluster Analysis Fuzzy Logic Plant Leaves
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Pattern recognition based on machine learning identifies oil adulteration and edible oil mixtures.

Nature communications Oct 23, 2020
Previous studies have shown that each edible oil type has its own characteristic fatty acid profile; however, no method has yet been described allowing the identification of oil types simply based on this characteristic. Moreover, the fatty acid prof...
Machine Learning Food Contamination Fatty Acids Food Safety Plant Oils
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Review of water quality criteria for water reuse and risk-based implications for irrigated produce under the FDA Food Safety Modernization Act, produce safety rule.

Environmental research Dec 21, 2018
Questions related to the safety of alternative water sources, such as recycled water or reclaimed water (including grey water, produced water, return flows, and recycled wastewater), for produce production have been largely un-explored at the detail ...
Lactuca Diarrhea Recycling United States Food Safety Agricultural Irrigation Wastewater Water Quality Risk Assessment
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Rapid and specific detection of Salmonella infections using chemically modified nucleic acid probes.

Analytica chimica acta Dec 21, 2018
Salmonella is a leading source of bacterial foodborne illness in humans, causing gastroenteritis outbreaks with bacteraemia occurrences that can lead to clinical complications and death. Eggs, poultry and pig products are considered as the main carri...
Models, Molecular Limit of Detection Food Safety Time Factors Food Microbiology Salmonella Nucleic Acid Conformation Oligonucleotide Probes Protein Conformation Deoxyribonucleases
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Soybean inoculants in Brazil: an overview of quality control.

Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] Nov 29, 2018
The bacterial strains SEMIA 587 and 5019 (Bradyrhizobium elkanii), 5079 (Bradyrhizobium japonicum), and 5080 (Bradyrhizobium diazoefficiens) are recommended for soybean inoculants in Brazil. In several countries, the current regulations are insuffici...
Bradyrhizobium Glycine max Agricultural Inoculants Quality Control Food Safety Brazil
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