探索仿生传感器——智舌在麦氏弧菌快速检测中的可行性，以期构建一种新型的水产品中致病性弧菌的快速检测技术。用智舌结合主成分分析法对11种致病性弧菌的液体培养物进行区分，以确定该法能否将11种致病性弧菌区分开及其所需的最短培养时间，并确定针对被测物的适宜电极和频率段组合；然后用智舌结合簇类独立软模式识别法构建麦氏弧菌的判别模型，并对判别模型进行回判及验证，根据判别准确率确定最佳判别模型，从而探索智舌结合簇类独立软模式识别法能否用来建立快速检测麦氏弧菌的数据库。结果显示：当弧菌在其特异性培养基中培养7h后，智舌能很好地将11种致病性弧菌区分开；6种电极与其频率段组合下的判别模型对所有样本的判别准确率均达到了100％。说明所建模型可用于麦氏弧菌的快速筛检。%The availability of Smartongue, a bionic sensor, for rapid detection of Vibrio metschnikovii was explored with the aim of proposing a rapid way to detect Vibrio metschnikovii in aquatic products. Smartongue combined with principal component analysis was used to discriminate among liquid cultures of 11 pathogenic Vibrio species to determine the availability of the combined techniques and minimum culture time. Meanwhile, optimal combinations of electrode and frequency were determined and then discrimination models for the detection of Vibrio metschnikovii was set up by combined use of Smaxtongue and soft independent modeling of class analogy (SIMCA) and validated. Optimal discrimination models were determined for high recognition rates to discover if combined Smartongue and SIMCA could be available for establishing a database for rapid detection of Vibrio metschnikovii. Eleven species of pathogenic Vibrio cultured in specific media for 7 h were successfully discriminated using Smartongue technique. The discrimination models based on 6 combinations of electrode and frequency showed a recogni- tion rate of 100% for all samples. In conclusion, Smarttongue combined with SIMCA is available for rapid detection of Vibrio metschnikovii.
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