可视传感器技术快速测定淡水鱼细菌总数  

A Rapid Method for Detecting Aerobic Plate Count in Freshwater Fish by Visual Sensor Technology

作　　者：黄星奕[1] 穆丽君[1] 姚丽娅[1] 

机构地区：[1]江苏大学食品与生物工程学院,江苏镇江212013

出　　处：《食品科学》2013年第24期83-87,共5页Food Science

基　　金：国家自然科学基金面上项目(31071549);农业部公益性行业(农业)科研专项(201003008);江苏省高校优势学科建设工程资助项目

摘　　要：以鳊鱼为对象,采用可视传感器检测技术建立一种淡水鱼细菌总数快速测定的方法。首先,利用可视传感器技术采集鳊鱼的气味,用图像处理技术提取传感器阵列与样品气味反应前后的图像颜色差值作为鱼的气味特征信息;同时,采用平板计数法测定细菌总数来评定鱼的新鲜等级;最后,采用最小二乘法(PLS)和联合区间偏最小二乘法(siPLS)建立基于气味信息与细菌总数间高效、精确的鱼类新鲜度判别模型。结果显示,siPLS模型较优,其校正集和预测集相关系数分别达到88.96%和83.29%。结果表明,可视传感器技术能够用于预测鱼的细菌总数,具有方便、快速、无损、成本低等优越性。A new method for rapid detection of aerobic plate count （APC） in Parabramis pekinensis as a freshwater fish was developed based on visualized sensor array technology. Information about the odor of P. pekinensis was extracted using visualized sensor arrays and odor characteristics were obtained as the color difference of images of sensor arrays before and after exposure to the headspace gas of fish samples using image processing technique. Meanwhile, the grades of fish freshness were evaluated through measuring APC by plate counting method. A partial least squares （PLS） model and a synergy interval partial least square （siPLS） model were set up based on the data relationship between odor characteristics from sensor arrays and APC values. The siPLS model gave better results with correlation coefficient of 88.96% for calibration set and 83.29% for prediction set. The results of this study indicate that visual sensor arrays can be used to predict APC as a convenient, fast, low-cost and non-destructive method

关 键 词：鳊鱼 细菌总数 可视传感器技术 偏最小二乘法 联合区间偏最小二乘法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]