Due to the interest in the production and trading of yateí (Tetragonisca angustula) honey in the province of Misiones, Argentina, in this work we assessed microbiological and physicochemical parameters in order to contribute to the elaboration of standards for quality control and promote commercialization. Results showed that yateí honey samples had significantly different microbiological and physicochemical characteristics in comparison to established quality standards for Apis mellifera honey. Thus, we observed that values for pH (3.72), glucose (19.01 g/100g) and fructose (23.74 g/100g) were lower than A. mellifera quality standards, while acidity (79.42 meq/kg), moisture (24%), and mould and yeast count (MY) (3.02 log CFU/g) were higher. The acid content was correlated with glucose (R2=0.75) and fructose (R2=0.68) content, and also with mould and yeast counts (R2=0.45) to a lesser extent. The incidence of microorganisms in yateí honey samples reached 42.85% and 39% for Clostridium sulfite-reducers and Bacillus spp., respectively. No C. botulinum or B. cereus cells were detected. Enterococcus spp. and Staphylococcus spp. incidence was similar (ca. 7.14%), whereas Escherichia coli and Salmonella spp. were not detected. We conclude that the microbiological and physicochemical properties of yateí honey are different from those of A. mellifera honey; hence, different quality standards could be implemented to promote its commercialization.

This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Lactic acid bacteria and Listeria monocytogenes are psychotropic organisms that can grow and compete in food such as lightly preserved fishery products. Predictive microbiology is nowadays one of the leading tools to assess the behavior of bacteria in food and to predict food spoilage. Mathematical models can be used to predict the growth, inactivation or growth probability of bacteria. Currently, the efforts in microbial modeling are oriented towards extrapolation of results beyond experiments in order to predict the growth of interacting microorganisms and develop new food preservation processes. In the present work, a model combining both heterogeneous population and quasi‐chemical approaches to describe the different phases of the bacterial growth curve is presented. The model was applied to both monoculture and co‐culture cases of lactic acid bacteria, Carnobacterium maltaromaticum H‐17, and two Listeria monocytogenes strains in a raw fish extract. It is a highlight that our model includes novel inhibition reactions due to the accumulation of metabolites, and a general equation to take into account the effect of chemical compounds during the lag or physiological adaptation phase of the cells. Our results show that the proposed model can accurately describe the experimental data when the curve shape is a sigmoid, and when it presents a maximum. Besides, the parameters have biological interpretability since the model is mechanistically inspired.