AIMC Topic: Honey

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Convolutional decoding of thermographic images to locate and quantify honey adulterations.

Talanta Oct 24, 2019
In this research, 56 samples of pure honey have been mixed with different concentrations of rice syrup simulating a set of adulterated samples. A thermographic camera was used to extract data regarding the thermal development of the honey. The result...
Oryza Honey Thermography Neural Networks, Computer Time Factors Food Contamination
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Analysis of crystallization phenomenon in Indian honey using molecular dynamics simulations and artificial neural network.

Food chemistry Jul 15, 2019
Molecular dynamics simulation was performed on sugar profile and moisture content-based mixture systems of six Indian honey samples. Comparative studies were performed to understand the interactive effects of fructose, glucose, sucrose, maltose and w...
Honey Fructose Crystallization Sucrose Maltose Neural Networks, Computer Water India Glucose Molecular Dynamics Simulation
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A Randomized Phase 2 Trial of Prophylactic Manuka Honey for the Reduction of Chemoradiation Therapy-Induced Esophagitis During the Treatment of Lung Cancer: Results of NRG Oncology RTOG 1012.

International journal of radiation oncology, biology, physics Nov 23, 2016
PURPOSE: Randomized trials have shown that honey is effective for the prevention of radiation-induced mucositis in head and neck cancer patients. Because there is no efficacious preventative for radiation esophagitis in lung cancer patients, this tri...
Radiation Injuries Diet Therapy Esophagitis Leptospermum Treatment Outcome Honey Chemoradiotherapy Middle Aged Lung Neoplasms Female Aged Male Humans
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Assessment of bacterial quality of honey produced in Tamale metropolis (Ghana).

Journal of food and drug analysis Nov 2, 2016
The bacterial quality of honey from different production sites within Tamale metropolis, Ghana, was estimated using standard microbiological methods. Honey samples were bought from six different production sites within Tamale metropolis and labeled. ...
Bacteria Honey Bacillus Shigella Ghana
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Neural networks applied to discriminate botanical origin of honeys.

Food chemistry Nov 27, 2014
The aim of this work is develop a tool based on neural networks to predict the botanical origin of honeys using physical and chemical parameters. The managed database consists of 49 honey samples of 2 different classes: monofloral (almond, holm oak, ...
Neural Networks, Computer Phenols Honey
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Robust DEEP heterogeneous ensemble and META-learning for honey authentication.

Food chemistry Aug 1, 2025
Food fraud raises significant concerns to consumer health and economic integrity, with the adulteration of honey by sugary syrups representing one of the most prevalent forms of economically motivated adulteration. This study presents a novel framewo...
Saccharum Deep Learning Honey Food Contamination
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Artificial Intelligence Applied to Honey C NMR Data: A New Path for Honey Recognition.

Journal of agricultural and food chemistry Jul 30, 2025
Besides food authentication control based on acknowledged analytical methods, nowadays there is a continuous attempt to develop new approaches for unambiguously differentiating distinct food commodities. In this regard, current tendencies involve Art...
Artificial Intelligence Magnetic Resonance Spectroscopy Romania Carbon Isotopes Food Contamination Honey France
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Enhancing pyrrolizidine alkaloid separation and detection: LC-MS/MS method development and integration of ion mobility spectrometry into the LC-HRMS workflow.

Journal of chromatography. A May 10, 2025
Pyrrolizidine alkaloids (PAs) are plant toxins occurring in different foodstuffs, including teas, herbal infusions and species. Additionally, PAs may be transferred to honey and pollen when honeybees come into contact with contaminated plants. Due to...
Food Contamination Ion Mobility Spectrometry Food Analysis Pyrrolizidine Alkaloids Reproducibility of Results Honey Chromatography, Liquid Liquid Chromatography-Mass Spectrometry Linear Models Limit of Detection Tandem Mass Spectrometry
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Fast honey classification using infrared spectrum and machine learning.

Mathematical biosciences and engineering : MBE Jul 29, 2019
Honey has been one previous natural food in human history. However, as the supply cannot satisfy the market demand, many incidents of adulterated and fraudulent honey have been reported. In Taiwan, some common adulterated honey and fraudulent honey i...
Fructose Scattering, Radiation Spectrophotometry, Infrared Bees Food Industry Machine Learning Food Contamination Taiwan Food Analysis Animals Principal Component Analysis Models, Statistical Honey Support Vector Machine
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Single and joint antibacterial activity of aqueous garlic extract and Manuka honey on extended-spectrum beta-lactamase-producing Escherichia coli.

Transactions of the Royal Society of Tropical Medicine and Hygiene Oct 1, 2017
BACKGROUND: Multidrug resistance and recent technological advances have renewed interest in natural product drug discovery from ancient remedies such as Allium sativum (garlic) and honey. This study assessed antibacterial activity of aqueous garlic e...
Escherichia coli Infections Apitherapy Microbial Sensitivity Tests Humans beta-Lactamases Honey Garlic Drug Resistance, Multiple, Bacterial Anti-Bacterial Agents Plant Preparations Escherichia coli Phytotherapy
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