예측미생물을 이용한 미강식이섬유 함유 프랑크푸르터 소시지의 유통기한 설정 Shelf-life Estimation of Frankfurter Sausage Containing Dietary Fiber from Rice Bran Using Predictive Modeling원문보기
Predictive modeling was applied to study the growth of microorganisms related to spoilage in frankfurter sausage containing various levels of dietary fiber (0, 1, 2, and 3%) from rice bran and to estimate its shelf-life. Using the Baranyi model, total viable cells, anaerobic and psychrotrophic bacte...
Predictive modeling was applied to study the growth of microorganisms related to spoilage in frankfurter sausage containing various levels of dietary fiber (0, 1, 2, and 3%) from rice bran and to estimate its shelf-life. Using the Baranyi model, total viable cells, anaerobic and psychrotrophic bacteria were measured during 35 days of cold storage ($<4{\pm}1^{\circ}C$). The lag times (LT) demonstrated by control and treatment groups were 6.28, 623, 6.24, and 6.25 days, respectively. The growth rate of total viable cells in each group were 0.95, 0.91, 0.92, and 0.91 (Log CFU/g/day), respectively. The anaerobic and psychrotrophic bacteria had lower initial ($y_0$) and maximal bacterial counts ($y_{max}$) than total viable cells. Also, the anaerobic and psychrotrophic bacteria possessed lower growth rate and longer lag time than total viable cells. The estimated shelf-life of frankfurter containing rice bran fiber by the growth rate of total viable cells was 7.8, 7.9, 7.9, and 7.7 days, respectively. There were no significant differences in shelf-life as a function of fiber content. In other words, the addition of dietary fiber in sausage did not show the critically hazardous results in growth of microorganism. The 12 predictive models were then characterized by high $R^2$, and small RMSE. Furthermore, $B_f$ and $A_f$ values showed a very close relationship between the predictive and observed data.
Predictive modeling was applied to study the growth of microorganisms related to spoilage in frankfurter sausage containing various levels of dietary fiber (0, 1, 2, and 3%) from rice bran and to estimate its shelf-life. Using the Baranyi model, total viable cells, anaerobic and psychrotrophic bacteria were measured during 35 days of cold storage ($<4{\pm}1^{\circ}C$). The lag times (LT) demonstrated by control and treatment groups were 6.28, 623, 6.24, and 6.25 days, respectively. The growth rate of total viable cells in each group were 0.95, 0.91, 0.92, and 0.91 (Log CFU/g/day), respectively. The anaerobic and psychrotrophic bacteria had lower initial ($y_0$) and maximal bacterial counts ($y_{max}$) than total viable cells. Also, the anaerobic and psychrotrophic bacteria possessed lower growth rate and longer lag time than total viable cells. The estimated shelf-life of frankfurter containing rice bran fiber by the growth rate of total viable cells was 7.8, 7.9, 7.9, and 7.7 days, respectively. There were no significant differences in shelf-life as a function of fiber content. In other words, the addition of dietary fiber in sausage did not show the critically hazardous results in growth of microorganism. The 12 predictive models were then characterized by high $R^2$, and small RMSE. Furthermore, $B_f$ and $A_f$ values showed a very close relationship between the predictive and observed data.
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제안 방법
The purpose of this study was to apply predictive modeling to study the growth of microorganisms related to spoilage of frankfurter sausage containing various levels of dietary fiber (rice bran at 0, 1, 2, or 3%) and estimate its shelf-life more reliably.
대상 데이터
This research was supported by the Rural Development Administration (#033-006-001-01-00) and the Brain Korea 21 project in Korea.
데이터처리
An analysis of variance (ANOVA) was performed on all the variables measured using the general linear model (GLM) procedure of the SAS program (Statistics Analytical System, USA, 1999). The Duncan’s multiple range tests was used to determine differences between treatment means.
이론/모형
Dietary fiber from rice bran was extracted by the modified AOAC enzymatic-gravimetric method (AOAC, 1995). Rice bran of a Japonica rice cultivar (Oriza sativa L.
On the basis of the observed data, predictive models were described by the Baranyi model. Fig.
The growth data were analyzed with widely used Baranyi model (Baranyi et al., 1995; Baranyi et al., 1996). Baranyi model has been reparameterized in terms of more familiar quantities.
성능/효과
The values of initial and maximum counts of control, T1, T2, and T3 groups showed no significant differences (p>0.05), and growth rates were lower than for total viable cells and anaerobic bacteria.
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