Graduate Student Literature Review: History, technologies of production, and characteristics of ricotta cheese.

G. Mangione,1 M. Caccamo,2 A. Natalello,1 and G. Licitra1,2

1- Dipartimento di Agricoltura, Alimentazione e Ambiente (Di3A), University of Catania, Via Valdisavoia 5, 95123, Catania, Italy

2- Consorzio per la Ricerca nel Settore della Filiera Lattiero-Casearia e dell’Agroalimentare, SP 25, 97100 Ragusa, Italy

ABSTRACT

This review focused on the historical, technological, and analytical characteristics of ricotta cheese available in the literature. Ricotta cheese is a typical dairy prod- uct that originated from Italy, used in the preparation of several traditional dishes, both sweet and salted. The available studies pertaining to ricotta cheese revealed a considerable biodiversity in the production with a large number of varieties produced, whose production varies according to the local uses and customs. The review shows the main chemical and microbial characteristics of the product and also the several parameters that affect the mechanism of the production process and the final characteristics of the product, including the raw materials, the processing methods, the season, the animals’ diet, the animals’ species, and breeds. Ricotta production can be artisanal or industrial, with differ- ences in the making process. New trends in ricotta cheese production have been developed, with particular attention to the functional effect on human health and the novel technologies applied to extend the shelf-life of the products. Currently, it is not easy to find these new developments in the market, probably related to the cost of production, which is not always bearable by the farms. However, despite the large classification reported and the great interest by the cheese industry, just a few numbers of studies were found for artisanal ricotta productions, which still need to be characterized and studied.

Keywords: ricotta cheese, ricotta production, analytical characteristics, new trends

Journal of Dairy Science

https://doi.org/10.3168/jds.2022-22460

PhD student: Guido Mangione (guido.mangione@phd.unict.it)

Advisor: Giuseppe Licitra (glicitra@unict.it)

Search