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Expert system for prediction of microbial growth, survival or death for the safety of food and agricultural product

预测微生物生长、生存或死亡的专家系统，保障食品和农产品安全

基本信息

批准号：
16380175
负责人：
UCHINO Toshitaka
金额：
$ 6.59万
依托单位：
KYUSHU UNIVERCITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2004
资助国家：
日本
起止时间：
2004 至 2006
项目状态：
已结题

项目摘要

The purpose of this research is to develop a expert system for the prediction of microorganism growth survival or death. To make the system, following researches were performed.1)Data collection of microbial growth and death : The growth curves of B.cereus and S.epidermidis were obtained under various conditions of temperature, pH and NaC1 concentration as well as the survival curves of P.digitatum, P.italicum.2)Data collection of physical properties of food and agricultural products : The dielectric properties of soy sauce were analyzed theoretically with Cole-Cole relation and including the effect of ionic conductivity. The important parameters such as relaxation wavelength, static component of the dielectric constant and ionic conductivity, were determined and tabulated for various conditions.3)Research on the temperature history of fresh produce : To predict the growth of microorganisms the temperature of fresh produce was measured during distribution from harvesting to a wholesale … More market.4)Development of mi crobial growth model : A modified Gompertz model was developed for the prediction of microbial growth. Parameters of the model were obtained and each parameter was expressed as polynomial equation. In addition, the model was expressed using a lag phase TL, maximum growth rate Rc and Maximum population of microorganisms Nmax. TL and RG were dependent on the temperature so that these parameters were built into the model equation as the function of the temperature. The predicted values of B.cereus and S.epidemidis growth were agreed well with experimental values at the changing temperature of fresh produce described above 3). A radiation heat transfer models with the combination of the Monte Carlo method and two-dimensional heat transfer model based on the fundamental quantum physics of radiation and fluid dynamics were developed. Monte Carlo far infrared radiation simulations were performed in CFD code ANSYS CFX5.7 to investigate the suitability of the method for surface contamination. Less

本研究的目的是开发一个预测微生物生长、生存或死亡的专家系统。为了制作该系统，进行了以下研究。1)微生物生长与死亡数据采集：获得蜡样芽孢杆菌和表皮芽孢杆菌在不同温度、pH和NaC1浓度条件下的生长曲线，以及指状芽孢杆菌、意大利芽孢杆菌的生存曲线。2)食品和农产品物理性能数据采集：利用Cole-Cole关系对酱油的介电性能进行理论分析，并考虑离子电导率的影响。对不同条件下的弛豫波长、介电常数静态分量和离子电导率等重要参数进行了测定和制表。3)生鲜农产品的温度历史研究：为了预测微生物的生长，测量了生鲜农产品从收获到批发的分布过程中的温度。4)微生物生长模型的建立：建立了用于预测微生物生长的修正Gompertz模型。得到了模型的参数，并将各参数用多项式方程表示。此外，该模型用滞后期TL、最大生长速率Rc和最大微生物数量Nmax表示。TL和RG依赖于温度，因此这些参数作为温度的函数被构建到模型方程中。在上述新鲜农产品温度变化条件下，蜡样芽孢杆菌和流行弧菌的预测值与实验值吻合良好(3)。基于辐射和流体力学的基本量子物理，建立了蒙特卡罗方法与二维传热模型相结合的辐射传热模型。在CFD软件ANSYS CFX5.7中进行蒙特卡罗远红外辐射模拟，研究该方法对表面污染的适用性。少