頁籤選單縮合
題 名 | 微生物遲滯時間預測模式之建立與應用=Development and Application of Predictive Model for Microbial Lag Time Estimation |
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作 者 | 李根永; 洪名璟; | 書刊名 | 食品科學 |
卷 期 | 24:3 1997.06[民86.06] |
頁 次 | 頁376-383 |
分類號 | 463.7 |
關鍵詞 | 預測模式; 遲滯時間; 比生長速率; 中式香腸; Predictive model; Lag time; Specific growth rate; Chinese sausage; |
語 文 | 中文(Chinese) |
中文摘要 | 本研究測定中式香腸主要腐敗菌Enterococcus sp.在8、10、15、20及25℃貯藏香 腸中的生長曲線,再將生長速率數據配適 (fit in) 入岡柏茲方程式 (Gompertz equation) , 經非線性迴歸分析, 決定比生長速率 (specfic growth rate, μ ) 與遲滯時間 (lag time, L)。取溫度對比生長速率迴歸分析做圖,建立由溫度預測比生長速率的線性迴歸方程 式μ =0.21 + 0.056T。再取比生長速率倒數對遲滯時間迴歸分析,得到可由比生長速率預 測遲滯時間的模式,L=-11.3 + 19.89(1 ╱μ )。μ與 L 的預測模式配合使用。可預測冷 藏香腸在 8 ∼ 25 ℃環境下菌數的變化。 為驗證模式的適用性, 由預測模式求得 Enterococcus sp. 在 17 ℃貯藏香腸中,不同時間的菌數, 並與實際檢測菌數值比較,經 t-test 檢驗實際檢測菌數與預測值的差異性,結果顯示兩者間無顯著差異。 |
英文摘要 | In this research, the gorwth data of Enterococcus sp. in Chinese sausages at various temperatures 8, 10, 15, 20, and 25 ℃ were collected,and the data were fittedin Gompertz equation to decide lag time (L) and specific growth rate (μ ). The data of temperature versus specific growth rate was analyzed with regression model, and a linear regression equation for prediction specific growth rate from temperature, μ =0.21+0.056 T was established. In addition, a predictive model, L=-11.3+19.89 (1/ μ ), for estimating lag time from specific growth rate was also developed. The models make it possible to predict cell number of sausages stored at the temperature range of 8 ∼ 25 ℃. No significant difference was found between the predictive cell counts of sausages stored at 17 ℃ and the laboratorial determined value by using t-test. |
本系統中英文摘要資訊取自各篇刊載內容。