Capability of in vitro digestibility methods to predict in vivo digestibility of vegetal and animal proteins

The purpose of this work was to establish predictive equations for the digestibility of proteins of animal and vegetal origin by correlating in vitro and in vivo methods. Proteins sources for animal and vegetable were used. To calculate in vitro digestibility, we used pH values obtained 10 min after a solution of enzymes was added to a protein solution (pH-drop method). We also used the pH-static method, which measures the volume of additional NaOH that is necessary to maintain a pH of 8.0 after the addition of an enzymatic solution. In vivo digestibility was measured in newly weaned male rats that were fed a diet of AIN-93G for growth with a modified protein content of 9.5% for 14 days. The equations developed using the pH-drop method allowed us to predict in vivo digestibility amounts that were more closely correlated with real in vivo digestibility than those obtained with equations using the pH-static method. In vitro techniques are less expensive, require less manpower and physical space, and use a smaller quantity of protein(AU)

O objetivo deste trabalho foi estabelecer equações de predição para a digestibilidade das proteínas de origem animal e vegetal, correlacionando métodos in vitro e in vivo. Foram utilizadas proteínas de origem animal e vegetal. Para o cálculo da digestibilidade in vitro foram utilizados os valores de pH obtidos em 10 min após a adição da solução de enzimas (método de queda de pH). Também foi utilizado o método de pH estático, o qual mede o volume de NaOH adicionado, necessário para manter o pH em 8,0 após a adição de uma solução enzimática. A digestibilidade in vivo foi medida em ratos machos recémdesmamados que foram alimentados com uma dieta AIN- 93G para crescimento com teor de proteína modificada de 9,5% durante 14 dias. As equações desenvolvidas utilizando o método de queda de pH permitiram prever em quantidades digestibilidade in vitro que foram mais estreitamente correlacionadas com a digestibilidade in vivo do que aqueles obtidas utilizando equações do método de pH estático. As técnicas in vitro são menos dispendiosas, exigem menos mão-de-obra e espaço físico, e utiliza uma menor quantidade de proteína(AU)

Bacteriological quality of raw milk used for production of a Brazilian farmstead raw milk cheese.

The objective of this study was to evaluate the bacteriological quality of raw cow's milk utilized for the production of Traditional Minas Serro cheese, a Brazilian farmstead raw milk cheese. Raw milk samples were collected from six farmstead cheese operations manufacturing raw milk cheese from cow's milk. Coliform count (CC) and Escherichia coli counts were determined using Petrifilm™ EC plates, and Staphylococcus aureus counts were determined using Petrifilm™ Staph Express count plates. The standard plate count (SPC) was determined using plate count agar. The somatic cell count (SCC) was determined with a DeLaval cell counter. The detection of Listeria monocytogenes was based in the ISO 11290-1 protocol. A total of 165 samples were analyzed, and the SPC was 1.85-7.88 log CFU/mL. Coliform were detected in 140 (84.8%) of the 165 samples, with counts of 1-6.39 log CFU/mL. E. coli was detected in 17 (10.3%) samples, with counts of 1-2.18 log CFU/mL. The SCC in raw milk was 10,000-1,390,000 cells per mL, with mean and geometric mean values of 247,000 and 162,181, respectively. The SCC did not differ significantly between the seasons (p>0.05), but differed between different farms (p<0.05). None of the 155 samples were positive for the presence of Listeria monocytogenes. S. aureus was isolated in 145 (94.1%) of the 154 samples, and the count was 1.47-5.03 log CFU/mL. The median of SPC, CC, and S. aureus counts differed significantly between seasons and between farms (p<0.05). Our results indicate that raw milk for production of farmstead raw milk cheese has a low incidence of L. monocytogenes and a high incidence of S. aureus, and suggest that measurements (such as SCC or SPC) may not serve as a predictor of other bacterial (including pathogenic) presence.