The Cheeses of Italy: Science and Technology
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These metabolic interactions between NSLAB and LAB are crucial for inhibiting spoilage bacteria and contributing to curd structure formation.
“Consequently, these metabolic interactions between NSLAB and LAB are crucial for inhibiting spoilage bacteria and contributing to curd structure formation [55,56,57,58,59,79,80].”
From Microbiota of Cheese Ecosystems: A Perspective on Cheesemaking (2025) · cites this paper as [59]
Varying degrees of acidification promote different curd structures.
“Varying degrees of acidification promote different curd structures [55,56,57,58,59,79,80].”
From Microbiota of Cheese Ecosystems: A Perspective on Cheesemaking (2025) · cites this paper as [59]
Specific cheese microbes or consortia are adapted to various abiotic stresses, including changes in pH, salinity, temperature, and moisture, as well as biotic stresses like competition and invasion resistance, both at the individual and community levels.
“Specific cheese microbes or consortia are adapted to various abiotic stresses, including changes in pH, salinity, temperature, and moisture, as well as biotic stresses like competition and invasion resistance, both at the individual and community levels [46,53,59,61,65,71,73,75,76,77,78].”
From Microbiota of Cheese Ecosystems: A Perspective on Cheesemaking (2025) · cites this paper as [59]
Thermization or pasteurization reduce certain microbial species depending on the time/temperature combination used and significantly decrease psychrotrophic and mesophilic populations, including NSLAB.
“These treatments reduce certain microbial species depending on the time/temperature combination used and significantly decrease psychrotrophic and mesophilic populations, including those of non-starter LAB (NSLAB) [56,58,59,80].”
From Microbiota of Cheese Ecosystems: A Perspective on Cheesemaking (2025) · cites this paper as [59]
The primary effect of pre-maturation is partial proteolysis, which produces low-molecular-weight peptides that benefit the starter bacteria added later, thereby accelerating subsequent acidification.
“The primary effect of pre-maturation is partial proteolysis, which produces low-molecular-weight peptides that benefit the starter bacteria added later, thereby accelerating the subsequent acidification process [53,59,73,80].”
From Microbiota of Cheese Ecosystems: A Perspective on Cheesemaking (2025) · cites this paper as [59]
Addition of rennet and breaking of the curd can influence the distribution of lactic acid bacteria because they affect the distribution of nutrients between the liquid whey phase and the solid curd phase.
“But even less direct phases, such as the addition of rennet and the breaking of the curd, can influence the distribution of lactic acid bacteria because they affect the different distribution of nutrients between the liquid phase of the whey and the solid phase of the curd [56,58,59,80].”
From Microbiota of Cheese Ecosystems: A Perspective on Cheesemaking (2025) · cites this paper as [59]
The whey left after manufacturing has a unique temperature, chemical composition, and microflora, varying by species and biotypes depending on the chosen technology and type of milk.
“The whey left after manufacturing has a unique temperature, chemical composition, and microflora, varying by species and biotypes depending on the chosen technology and type of milk [21,59,73,76,80,109,110,111,112].”
From Microbiota of Cheese Ecosystems: A Perspective on Cheesemaking (2025) · cites this paper as [59]
Cites
The Most Traditional and Popular Italian Cheeses
Gobbetti, M., Neviani, E., & Fox, P. F. (2018) · Springer eBooks · doi:10.1007/978-3-319-89854-4_6 · Cited by 8 · see citing works
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How the fewest become the greatest. L. casei’ s impact on long ripened cheeses.
Bottari, B., Levante, A., Neviani, E., & Gatti, M. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.02866 · Cited by 45 · see citing works
Bertani, G., Levante, A., Lazzi, C., Bottari, B., Gatti, M., & Neviani, E. (2020) · Food Research International · doi:10.1016/j.foodres.2019.108860 · Cited by 43 · see citing works
Self-citationMicrobiota of Cheese Ecosystems: A Perspective on Cheesemaking
Neviani, E., Gatti, M., Gardini, F., & Levante, A. (2025) · Foods · doi:10.3390/foods14050830 · Cited by 39 · see citing works
“Specific cheese microbes or consortia are adapted to various abiotic stresses, including changes in pH, salinity, temperature, and moisture, as well as biotic stresses like competition and invasion resistance, both at the individual and community levels [46,53,59,61,65,71,73,75–78].”
InfluentialSelf-citationNeviani, E., Levante, A., & Gatti, M. (2024) · Fermentation · doi:10.3390/fermentation10040186 · Cited by 17 · see citing works
Self-citationNeviani, E. (2024) · Microorganisms · doi:10.3390/microorganisms12122443 · Cited by 5 · see citing works
Self-citation
- Authors
- Gobbetti, M., Neviani, E., & Fox, P.
- Affiliations
- Free University of Bozen-Bolzano (IT)
- University of Parma (IT)
- University College Cork (IE)
- Venue
- Springer eBooks
- Publisher
- Springer International Publishing
- Published
- 2018
- OpenAlex
- W2806943471
- Cited by
- 85
- References
- 1
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 11 · 2023: 17 · 2022: 8 · 2021: 15 · 2020: 9 · 2019: 6 · 2018: 2
- FWCI
- 11.12
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Open Research (University of Surrey) (submittedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Life Sciences › Agricultural and Biological Sciences › Food Science › Advanced Scientific Research Methods
- Life Sciences › Agricultural and Biological Sciences › Food Science › Food and Agricultural Sciences
- Keywords
- Italian cheese, cheese production, cheese classification, milk composition, microbiota, raw milk cheese
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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