AIMC Topic: Bacillus cereus

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Design, characterization, and application of novel antimicrobial peptides against Bacillus cereus.

International journal of food microbiology Aug 18, 2025
Foodborne pathogens such as Bacillus cereus threaten food safety, necessitating novel antimicrobial solutions. Antimicrobial peptides (AMPs) offer broad-spectrum activity and potential applications in food preservation. In this study, we designed a l...
Food Microbiology Amino Acid Sequence Bacillus cereus Antimicrobial Peptides Spores, Bacterial Anti-Bacterial Agents Microbial Sensitivity Tests
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Application of MALDI-TOF MS-based peptidome profiling for the identification of Bacillus cereus, Staphylococcus aureus, and Escherichia coli in single and mixed inoculum.

Food chemistry Jul 5, 2025
The detection of mixed-species bacterial samples plays a vital role in ensuring food safety, yet research in this area remains notably limited. This study investigates the integration of MALDI-TOF MS-derived peptidome profiles with artificial intelli...
Escherichia coli Staphylococcus aureus Tandem Mass Spectrometry Peptides Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Food Contamination Proteomics Bacillus cereus Bacterial Proteins
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High-throughput, rapid, and non-destructive detection of common foodborne pathogens via hyperspectral imaging coupled with deep neural networks and support vector machines.

Food research international (Ottawa, Ont.) Jan 7, 2025
Foodborne pathogens such as Bacillus cereus, Staphylococcus aureus, and Escherichia coli are major causes of gastrointestinal diseases worldwide and frequently contaminate dairy products. Compared to nucleic acid detection and MALDI-TOF MS, hyperspec...
Staphylococcus aureus Food Contamination Support Vector Machine Escherichia coli Principal Component Analysis Discriminant Analysis High-Throughput Screening Assays Food Microbiology Foodborne Diseases Neural Networks, Computer Deep Learning Hyperspectral Imaging Bacillus cereus
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Enhanced biodegradation of phenol under Cr(VI) stress by microbial collaboration and potential application of machine learning for phenol biodegradation.

Water science and technology : a journal of the International Association on Water Pollution Research May 7, 2024
Cr(VI) and phenol commonly coexist in wastewater, posing a great threat to the environment and human health. However, it is still a challenge for microorganisms to degrade phenol under high Cr(VI) stress. In this study, the phenol-degrading strain Z...
Phenol Bacillus licheniformis Biodegradation, Environmental Bacillus cereus Water Pollutants, Chemical Chromium Machine Learning
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Statistical versus neural network-embedded swarm intelligence optimization of a metallo-neutral-protease production: activity kinetics and food industry applications.

Preparative biochemistry & biotechnology Mar 16, 2024
An integrated approach involving response surface methodology (RSM) and artificial neural network-ant-colony hybrid optimization (ANN-ACO) was adopted to develop a bioprocess medium to increase the yield of neutral protease under submerged fermentat...
Neural Networks, Computer Fermentation Food Industry Kinetics Peptide Hydrolases Culture Media Bacillus cereus Hydrogen-Ion Concentration Bioreactors
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Machine learning-driven electronic identifications of single pathogenic bacteria.

Scientific reports Sep 23, 2020
A rapid method for screening pathogens can revolutionize health care by enabling infection control through medication before symptom. Here we report on label-free single-cell identifications of clinically-important pathogenic bacteria by using a poly...
Biosensing Techniques Machine Learning Escherichia coli Bacillus cereus Pseudomonas fluorescens Bacterial Infections Staphylococcus aureus Micropore Filters Salmonella enterica Microscopy, Electron, Scanning Electronics
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Synthesis, characterization, antimicrobial and antimetastatic activity of silver nanoparticles synthesized from Ficus ingens leaf.

Artificial cells, nanomedicine, and biotechnology Jan 28, 2019
Cancer incidence is still increasing due to inadequate responsive treatments. Inertness and biocompatibility of nanoparticles synthesized using plant extracts have shown therapeutic applications and make it to be a good anti-cancer candidates. This s...
Neoplasm Metastasis Antineoplastic Agents Female Escherichia coli Bacillus cereus Ficus Plant Extracts Metal Nanoparticles Plant Leaves Breast Neoplasms Humans Silver Anti-Bacterial Agents
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