董庆利,姚远,赵勇,陈浩.铜绿假单胞菌的温度、pH值和乳酸钠主参数模型构建[J].农业机械学报,2014,45(1):197-202.
Dong Qingli,Yao Yuan,Zhao Yong,Chen Hao.Modelling Establishment of the Cardinal Parameters Model as a Function of Temperature, pH Value and Sodium Lactate for Pseudomonas aeruginosa[J].Transactions of the Chinese Society for Agricultural Machinery,2014,45(1):197-202.
摘要点击次数: 4065
全文下载次数: 2846
铜绿假单胞菌的温度、pH值和乳酸钠主参数模型构建   [下载全文]
Modelling Establishment of the Cardinal Parameters Model as a Function of Temperature, pH Value and Sodium Lactate for Pseudomonas aeruginosa   [Download Pdf][in English]
投稿时间:2013-06-30  
DOI:10.6041/j.issn.1000-1298.2014.01.031
中文关键词:  铜绿假单胞菌 迟滞期 温度 pH值 乳酸钠 主参数模型
基金项目:国家自然科学基金资助项目(31271896)和上海市自然科学基金资助项目(12ZR1420500)
作者单位
董庆利 上海理工大学 
姚远 上海理工大学 
赵勇 上海海洋大学 
陈浩 上海理工大学 
中文摘要:采用全自动微生物生长曲线分析仪Bioscreen测定分离自腐败冷却猪肉的铜绿假单胞菌在不同温度(25~40℃)、pH值(5.0~7.5)、乳酸钠质量浓度(0~0.035g/mL)影响下的生长曲线。基于最小二乘法运用Matlab软件中的fminsearch函数拟合铜绿假单胞菌迟滞期关于温度、pH值和乳酸钠质量浓度的主参数模型,经参数估计求得铜绿假单胞菌的最低生长温度、最适生长温度、最高生长温度、最低生长pH值、最适生长pH值、最高生长pH值、乳酸钠的最小抑菌浓度,进而通过10组随机数据进行验证。结果表明,构建的主参数模型能较好预测铜绿假单胞菌的相关生长参数,决定系数R2为0.9291,偏差因子Bf为1.0975,准确因子Af为1.3936,平方根误差为1.5989。验证组的决定系数R2为0.8546,偏差因子Bf为1.1225,准确因子Af为1.2117,都在可接受的范围内。
Dong Qingli  Yao Yuan  Zhao Yong  Chen Hao
University of Shanghai for Science and Technology;University of Shanghai for Science and Technology;Shanghai Ocean University;University of Shanghai for Science and Technology
Key Words:Pseudomonas aeruginosa Lag time Temperature pH value Sodium lactate cardinal Parametric model
Abstract:An automated turbidimetric system, Bioscreen C, was used to monitor the growth of Pseudomonas aeruginosa, which was separated from spoilage pork at a range of temperature (25~40℃), pH (5.0~7.5) and mass concentration of sodium lactate (0~0.035g/mL). The cardinal parameters model (CPM) was built on the basis of nonlinear least squares method using fminsearch function of Matlab software, and CPM represented the lag time of P.aeruginosa growth as a function of temperature, pH value and sodium lactate mass concentration. The CPM is able to determine the cardinal parameters Tmin, Topt, Tmax, Pmin, Popt, Pmax and the minimum inhibitory concentration of sodium lactate, respectively. This model was validated with ten random data within above ranges. The results showed that the growth parameters are predicted well by CPM with R2=0.9291, Bf=1.0975, Af=1.3936, and E= 1.5989, respectively. The validation parameters are 0.8546, 1.1225 and 1.2117 for R2, Bf and Af, respectively.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

   下载PDF阅读器