AIMC Topic: Honey

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Robust DEEP heterogeneous ensemble and META-learning for honey authentication.

Food chemistry
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...

Artificial Intelligence Applied to Honey C NMR Data: A New Path for Honey Recognition.

Journal of agricultural and food chemistry
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...

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
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...

Fast honey classification using infrared spectrum and machine learning.

Mathematical biosciences and engineering : MBE
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...

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
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...