智舌快速检测副溶血弧菌簇类独立软模式识别的建立

Development of the soft independent modelling of class analogies model to discrimination Vibrio parahemolyticus by Smartongue

摘要:

摘要：【目的】为探索一种新型食品致病菌的快速检测方法。【方法】用基于多频大幅脉冲伏安法为基元模式的智舌，结合簇类的独立软模式识别方法，检测样本培养物的综合信息并进行类别分析，建立智舌结合主成分分析的副溶血弧菌簇类独立软模式的判别模型。【结果】经过对6个工作电极3个频率段检测分析模型的比较，得到最佳电极及频率段组合：钯电极1 Hz、钨电极100 Hz和银电极100 Hz。用这3个模型判别10种致病性弧菌，得到钯电极1 Hz频率段的模型判别海鱼弧菌、梅氏弧菌、溶澡弧菌、辛辛那提弧菌、麦氏弧菌和O型霍乱弧菌的检

Abstract:

Abstract: [Objective] To explore a new rapid detection method for detecting of Food pathogens. [Method] We used the Smartongue, to determine the composition informations of the liquid culture samples and combined with soft independent modelling of class analogies (SIMCA) to analyze their respective species, then set up a Smartongue -SIMCA model to discriminate the V. parahaemolyticus.[Results]The Smartongue has 6 working electrodes and three frequency segments, we can built 18 discrimination models in one detection. After comparing all the 18 discrimination models，the optimal working electrodes and frequency segments were selected out, they were：palladium electrode in 1 Hz frequency segment, tungsten electrode in 100 Hz and silver electrode in 100 Hz. Then 10 species of pathogenic Vibrio were discriminated by the 3 models. The V.damsela, V. metschnikovii, V. alginalyticus, V. cincinnatiensis, V. metschnikovii and V. cholerae O serogroup samples could be discriminated by the SIMCA model of V. parahaemolyticus with palladium electrode 1 Hz frequency segment; V. mimicus and V. vulnincus samples could be discriminated by the SIMCA model of V. parahaemolyticus with tungsten electrode 100 Hz frequency segment; V. carcariae and V. cholerae non-O serogroup samples could be discriminated with the SIMCA model of V. parahaemolyticus in silver electrode 100 Hz frequency segment. The accurate discrimination of ten species of Vibrio samples is 100%. [Conclusion]The Smartongue combined with SIMCA can discriminate V. parahaemolyticus with other pathogenic Vibrio effectively. It has a promising future as a new rapid detection method for V. parahaemolyticus.