New Zealand mānuka () honey is a premium food product. Unfortunately, its high demand has led to "not true to label" marketed mānuka honey. Robust methods are therefore required to determine authenticity. We previously identified three unique nectar-derived proteins in mānuka honey, detected as twelve tryptic peptide markers, and hypothesized these could be used to determine authenticity. We invoked a targeted proteomic approach based on parallel reaction-monitoring (PRM) to selectively monitor relative abundance of these peptides in sixteen mānuka and twenty six non-mānuka honey samples of various floral origin. We included six tryptic peptide markers derived from three bee-derived major royal jelly proteins as potential internal standards. The twelve mānuka-specific tryptic peptide markers were present in all mānuka honeys with minor regional variation. By comparison, they had negligible presence in non-mānuka honeys. Bee-derived peptides were detected in all honeys with similar relative abundance but with sufficient variation precluding their utility as internal standards. Mānuka honeys displayed an inverse relationship between total protein content and the ratio between nectar- to bee-derived peptide abundance. This trend reveals an association between protein content on possible nectar processing time by bees. Overall, these findings demonstrate the first successful application of peptide profiling as an alternative and potentially more robust approach for mānuka honey authentication.
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http://dx.doi.org/10.3390/foods12101968 | DOI Listing |
Food Chem
January 2025
School of Pharmacy, Chemistry Interdisciplinary Project (ChIP), University of Camerino, Via Madonna delle Carceri s.n.c. 62032, Camerino, Italy.
This study is focused on quantification of six quercetin derivatives in roasted Coffea arabica L. from different geographical origins and post-harvest processing methods for the first time. Popular beverages (espresso and moka) were also studied.
View Article and Find Full Text PDFJ Food Sci Technol
January 2025
Institute of Food Science, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Böszörményi Street 138, Debrecen, 4032 Hungary.
Acacia honey was infused with basil, oregano, marjoram, dill, garlic or cinnamon at infusion rates of 0-5% by mass for a 6 months period. After removal of the infusates, macro and micro element concentrations were measured by Inductively Coupled Plasma Optical Emission Spectrometry. Total phenolic and flavonoid contents were determined spectroscopically.
View Article and Find Full Text PDFParasit Vectors
January 2025
Department of Biology, University of Padova, Padova, Italy.
Background: The mite Varroa destructor is the most serious pest of the western honey bee (Apis mellifera) and a major factor in the global decline of colonies. Traditional control methods, such as chemical pesticides, although quick and temporarily effective, leave residues in hive products, harming bees and operators' health, while promoting pathogen resistance and spread. As a sustainable alternative, RNA interference (RNAi) technology has shown great potential for honey bee pest control in laboratory assays, but evidence of effectiveness in the field has been lacking.
View Article and Find Full Text PDFSci Total Environ
January 2025
Salt Lake City Mosquito Abatement District, 2215 North 2200 West, Salt Lake City, UT 84116, United States.
As the primary pollinator for many crops, honey bees (Apis mellifera) are critically important to food production and the agricultural economy. Adult mosquito control is often suspected by the public and commercial beekeepers to harm honey bees, creating conflicts between industries. To investigate this matter, a two-year field study was conducted on vegetated wetlands in Salt Lake City, Utah, U.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Science, Hefei, 230031, China; University of Science and Technology of China, Hefei, 230027, China. Electronic address:
Honey bees usually produce particular sound when they are exposed to air pollution. Based on this principle, we create a citizen science platform to monitor Agricultural Nonpoint Source Pollution (ANSP) based on beehive sounds. Here we show the basic functions of the platform, and illustrate its workflow: sampling and uploading data by beekeepers, automated detection of target compounds from beehive sound recordings, and the outcome of which can be analysed with respect to the motivating management objective.
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