Estimation of Serpa cheese ripening time using multiple linear regression (MLR) considering rheological, physical and chemical data

• Autor(a) principal: Alvarenga, Nuno
• Data de Publicação: 2008
• Outros Autores: Silva, Paula, Rodriguez Garcia, José, Sousa, Isabel
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.5/4256
• topic: ewe's cheese; multiple linear regression; ripening; rheology; proteolysis

Raw ewes’ milk semi-soft cheeses (RESS-cheeses) are important products in Portugal and in several European regions. Creamy texture is an essential attribute of these cheeses, which results from structural properties that are not always well characterized. Here, the structural changes occurring during the ripening period of a traditional RESS-cheese, known as Serpa cheese, were analysed through small amplitude oscillatory shear (SAOS). Rheological data was complemented with other physical and chemical parameters, that were monitored during ripening, in order to estimate Serpa cheese ripening time using multiple linear regression (MLR). Mechanical spectra indicated a relatively strong structure, comparable to a gel, with a low dependence on frequency at the beginning of ripening and a weak structure, comparable to a concentrated suspension, with a crossing point (Ga=Gk) at the left of the graphic and with both moduli highly dependent on frequency, at the end of ripening. Good correlations (P<0.05) were obtained between structural (hardness and storage modulus) and proteolysis indicators. Using a combination of chemical, colour and rheological parameters we were able to obtain a multiple linear regression (MLR) which allows the estimation of Serpa cheese ripening time with an estimation error of 1.7 d (adjusted R2=0.98, P<0.0001).