A rapid method for the estimation of the microbiological quality of refrigerated raw milk based on the aminopeptidase activity of Gram-negative bacteria

Desenvolvimento de um modelo preditivo para identificação de perda de estabilidade e ocorrência de proteólise em leite UAT

RESUMO Este trabalho se propôs a desenvolver um modelo preditivo para identificação de perda de estabilidade e de sedimentação em leite UAT por determinação da atividade enzimática de aminopeptidase no leite por espectrofotometria. Foram analisadas amostras de leite cru, pasteurizado e UAT após envase durante seis meses, na região Sul do Brasil. Acidez, crioscopia, gordura, extrato seco total, extrato seco desengordurado e densidade foram analisados nos leites cru e pasteurizado. Amostras de leite cru foram ainda submetidas à análise de contagem de psicrotróficos e à atividade de aminopeptidase, e amostras de leite UAT estocadas foram analisadas quanto ao grau de proteólise mediante análises sensoriais e atividade de aminopeptidase. Alterações sensoriais foram observadas em tempos de estocagem menores para amostras originadas de leite cru com contagem de psicrotróficos acima de 107 UFC mL-1. Não houve correlação entre a atividade de aminopeptidase e proteólise e também não foi observada correlação significativa entre os parâmetros físico-químicos e a ocorrência de proteólise no leite estocado. O modelo estudado não foi apto para predizer perda de estabilidade e ocorrência de proteólise no leite UAT.

Aminopeptidase activity by spoilage bacteria and its relationship to microbial load and sensory attributes of poultry legs during aerobic cold storage

The shelf life of poultry legs stored aerobically and the possible role of the aminopeptidase activity of gram-negative bacteria (p-nitroaniline test) as a predictor of poultry spoilage were evaluated on the basis of microbiological and sensory parameters. Chicken legs (n = 30) obtained immediately after evisceration in a local poultry processing plant were kept under aerobic refrigeration (4 +/- 1 degrees C) for 7 days. Microbiological (counts of aerobic bacteria and psychrotrophs) and sensory (odor, color, and general acceptability on a hedonic scale of 1 to 9) parameters and aminopeptidase activity (absorbance at 390 nm [A(390)]) determinations were performed after 0, 1, 3, 5, and 7 days of storage. Aerobic plate counts of 7 log CFU/g and a score of 6 for general acceptability were used as indicators of the end point of shelf life. Strong correlations (r > or = 0.76; P < 0.001) were obtained between bacterial counts, hedonic scores, and A(390) values. Samples were judged as unacceptable (shelf-life end point) after 2 and 4 days on the basis of sensory and microbiological analyses, respectively. A(390) values of 0.52 and 0.89 (corresponding to p-nitroaniline concentrations of 6.25 and 10.7 microg/ml, respectively) are proposed as the upper limits for acceptability on the basis of sensory and microbiological determinations, respectively. However, these recommendations are based on a small set of samples, and their general application is yet to be verified.

Series quartz crystal sensor for remote bacteria population monitoring in raw milk via the Internet

A remote monitoring system based on a piezoelectric quartz crystal (SPQC) sensor was developed for the determination of the bacteria population in raw milk. The system employs the Windows XP server operating system, and its programs for data acquisition, display and transmission were developed using the LabVIEW 7.1 programming language. The circuit design consists of a circuit with a piezoelectric quartz crystal (SPQC) and a pair of electrodes. This system can provide dynamic data monitoring on a web-page via the Internet. Immersion of the electrodes in a cell culture with bacteria inoculums resulted in a change of frequency caused by the impedance change due to microbial metabolism and the adherence of bacteria on the surface of the electrodes. The calibration curve of detection times against density of bacteria showed a linear correlation coefficient (R(2) = 0.9165) over the range of 70-10(6) CFU ml(-1). The sensor could acquire sufficient data rapidly (within 4 h) and thus enabled real-time monitoring of bacteria growth via the Internet. This system has potential application in the detection of bacteria concentration of milk at dairy farms.