Exploring Propolis as a Sustainable Bio-Preservative Agent to Control Foodborne Pathogens in Vacuum-Packed Cooked Ham.
Eugenia RenduelesElba MaurizJavier Sanz-GómezAna María González-ParamásFélix Adanero-JorgeCamino García-FernándezPublished in: Microorganisms (2024)
The search for natural food additives makes propolis an exciting alternative due to its known antimicrobial activity. This work aims to investigate propolis' behavior as a nitrite substitute ingredient in cooked ham (a ready-to-eat product) when confronted with pathogenic microorganisms of food interest. The microbial evolution of Listeria monocytogenes , Staphylococcus aureus , Bacillus cereus , and Clostridium sporogenes inoculated at known doses was examined in different batches of cooked ham. The design of a challenge test according to their shelf life (45 days), pH values, and water activity allowed the determination of the mesophilic aerobic flora, psychotropic, and acid lactic bacteria viability. The test was completed with an organoleptic analysis of the samples, considering possible alterations in color and texture. The cooked ham formulation containing propolis instead of nitrites limited the potential growth (δ < 0.5 log 10 ) of all the inoculated microorganisms until day 45, except for L. monocytogenes , which in turn exhibited a bacteriostatic effect between day 7 and 30 of the storage time. The sensory analysis revealed the consumer's acceptance of cooked ham batches including propolis as a natural additive. These findings suggest the functionality of propolis as a promising alternative to artificial preservatives for ensuring food safety and reducing the proliferation risk of foodborne pathogens in ready-to-eat products.
Keyphrases
- staphylococcus aureus
- human health
- listeria monocytogenes
- nitric oxide
- gram negative
- microbial community
- escherichia coli
- single cell
- risk assessment
- climate change
- magnetic resonance imaging
- magnetic resonance
- antimicrobial resistance
- sensitive detection
- high intensity
- cystic fibrosis
- pseudomonas aeruginosa
- contrast enhanced
- social media
- data analysis