# Antimicrobial Effect of Oregano Essential Oil in Na-Alginate Edible Films for Shelf-Life Extension and Safety of Feta Cheese

**Authors:** Angeliki Doukaki, Aikaterini Frantzi, Stamatina Xenou, Fotoula Schoina, Georgia Katsimperi, George-John Nychas, Nikos Chorianopoulos

PMC · DOI: 10.3390/pathogens15010065 · 2026-01-08

## TL;DR

This study explores using oregano oil in edible films to extend Feta cheese shelf life and improve safety by reducing microbial growth.

## Contribution

The novel use of oregano essential oil in sodium alginate films combined with multispectral imaging for cheese safety is presented.

## Key findings

- Oregano oil films reduced spoilage and pathogen survival in Feta cheese.
- Multispectral imaging with machine learning estimated yeast and mold populations effectively.
- Best results came from aerobic conditions using benchtop multispectral imaging.

## Abstract

The use of natural antimicrobials and advanced sensor technologies is increasingly explored to improve the safety and quality of dairy products like cheese. The current work evaluated the effect of sodium alginate edible films enriched with oregano essential oil (EO) on the microbial spoilage of Feta cheese and the fate of Escherichia coli O157:H7 and Listeria monocytogenes during storage. Samples were inoculated with approximately a 4 log CFU/g of pathogens and subsequently wrapped with edible films containing EO or left without, serving as controls. Samples were stored under aerobic and vacuum conditions at 4 and 12 °C. Microbiological analyses, pH, and sensory attributes were monitored during storage, while multispectral imaging (MSI) devices were used for rapid, non-invasive quality assessment. EO films moderately suppressed spoilage and pathogen survival, particularly under aerobic conditions. The MSI spectral data coupled with machine learning models provided reasonable results for the estimation of yeast and mould populations, with the best models coming from aerobic conditions, from benchtop-MSI data, with R2 = 0.726 and RMSE = 0.426 from the Neural Networks model, and R2 = 0.661 and RMSE = 0.696 from the LARS model. The results highlight the combined potential of natural antimicrobial films and MSI-based sensors for extending Feta cheese shelf life and enabling rapid, non-destructive monitoring, respectively.

## Linked entities

- **Species:** Escherichia coli O157:H7 (taxon 83334), Listeria monocytogenes (taxon 1639)

## Full-text entities

- **Chemicals:** EO (MESH:D009822), sodium alginate (MESH:D000464), Na-Alginate (-)
- **Species:** Saccharomyces cerevisiae (baker's yeast, species) [taxon 4932], Listeria monocytogenes (species) [taxon 1639], Escherichia coli O157:H7 (no rank) [taxon 83334]

## Figures

13 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12844671/full.md

---
Source: https://tomesphere.com/paper/PMC12844671