Microbial and Emerging Technologies as Alternatives to Enhance Processes in a Sustainable Food Supply Chain

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Engineering and Technology".

Deadline for manuscript submissions: 25 November 2024 | Viewed by 1434

Special Issue Editors


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Guest Editor
Department of Biology, University of Padova, Padova, Italy
Interests: food microbiology; food chemistry; food science; food safety; fermentation microbiology; probiotics; yeasts; molecular biology; food analysis
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Guest Editor
Instituto Federal de Educação, Ciência e Tecnologia Goiano Campus Rio Verde, Rio Verde, Brazil
Interests: food microbiology; food Safety
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue delves into the utilization of microbial technologies and alternative methods as emerging technologies that can enhance food processing within sustainable food supply chains. It emphasizes the integration of innovative techniques to advance practices in food and fermented food production, aligning with the sustainable development goals of the food sector.

We invite distinguished researchers with experience in international laboratories and diverse academic groups to contribute their work for evaluation in the peer-review process of the journal Foods. This publication seeks to highlight the synergy between advanced microbiology techniques, omics technologies, and other emerging technologies to discover new solutions and methods for sustainable food and fermented food production. Additionally, this Special Issue will explore the genetic and phenotypic characteristics of microorganisms, particularly bacteria and yeasts, as well as new technologies that can impact the safety and quality of food, promising significant technological advancements in sustainable food systems.

Through this Special Issue, we aim to update and discuss results from culturing, predictive models, technology comparisons, genomics, transcriptomics, metagenomics, and metatranscriptomics. In doing so, we hope to contribute new trends to be considered in the implementation of sustainability in food industry supply chains.

Dr. Wilson Jose Fernandes Lemos Junior
Prof. Dr. Leandro Pereira Cappato
Guest Editors

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Keywords

  • microbial alternatives
  • fermentation enhancement
  • sustainable food supply chain
  • microbial techniques
  • advanced microbiology
  • food science and technology
  • environmental and human health microbiomes
  • genetic and phenotypic analysis
  • technological advancements in fermentation
  • emerging technologies
  • food quality
  • food safety

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Published Papers (1 paper)

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Research

10 pages, 749 KiB  
Article
Modeling the Thermal Inactivation of Monascus ruber Ascospores Isolated from Green Olive (Arauco Cultivar) Storage Brine: An Alternative Strategy to Reduce Antifungal Chemical Agents
by Leandro Pereira Cappato, Amanda Mattos Dias-Martins, Izadora Martina de Freitas Meireles, Elisa Helena da Rocha Ferreira, Wilson José Fernandes Lemos Junior and Amauri Rosenthal
Foods 2024, 13(12), 1881; https://doi.org/10.3390/foods13121881 - 15 Jun 2024
Viewed by 915
Abstract
Monascus ruber is an important fungus that causes spoilage in table olives, resulting in the darkening of the brine, the softening of the fruit, increased pH, and apparent mycelial growth. This study aimed to evaluate this resistance, providing a model to determine the [...] Read more.
Monascus ruber is an important fungus that causes spoilage in table olives, resulting in the darkening of the brine, the softening of the fruit, increased pH, and apparent mycelial growth. This study aimed to evaluate this resistance, providing a model to determine the optimal processing conditions for mitigating fungal contamination and prolonging shelf life without antifungal agents while optimizing pasteurization to reduce energy consumption. The resistance in brine (3.5% NaCl; pH 3.5) from Arauco cultivar green olives imported from Argentina was assessed. Four predictive models (log linear, log linear + shoulder, log linear + tail, log linear + shoulder + tail) estimated kinetic parameters for each survival curve. Log linear + shoulder + tail provided the best fit for 70 °C and 75 °C, with low RMSE (0.171 and 0.112) and high R2 values (0.98 and 0.99), respectively, while the log linear model was used for 80 °C. Decimal reduction times at 70, 75, and 80 °C were 24.8, 5.4, and 1.6 min, respectively, with a z-value of 8.2 °C. The current regulatory processes are insufficient to eliminate M. ruber at requisite levels, considering reduced antifungal agents. Full article
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