Zhao Guangying, Huang Jianfeng, Tian Shiyi, Deng Shaoping
College Food Science and Biotechnology Engineering, Zhejiang Gongshang University, Food Safety Key Lab of Zhejiang Province, Hangzhou 310035, China.
Wei Sheng Wu Xue Bao. 2010 Jan;50(1):113-8.
Electronic tongue is a modern analysis instrument and can detect very well the comprehensive information of liquid samples. Based on this, we employed the electronic tongue to detect the bacteria liquid culture, with the purpose of developing a new rapid method for the detection and identification of food-borne pathogens.
A novel voltammetric electronic tongue, smart tongue, was used to detect and differentiate 11 species of pathogenic Vibrio. Principal component analysis (PCA) was used to extract the relevant information obtained by the smart tongue. From the data evaluation, the score plots of PCA were obtained.
According to the plots, we chose the most feasible working electrodes at the most favorable frequency segments were determined for our purpose. The results showed that the best electrode arrays and frequency segments to differentiate pathogenic Vibrio were titanium electrode in 100 Hz, silver electrode in 100 Hz and tungsten electrode in 1 Hz and 10 Hz, respectively. We differentiated 11 species of pathogenic Vibrio independently in the score plot of tungsten electrode in 1 Hz. We also distinguished all the Vibrio with the combination of two of other three electrodes and frequencies.
Smartongue could differentiate well 11 species of pathogenic Vibrio from the results analysed by PCA. It has a promising future as a novel modern rapid analytical technology for detecting and distinguishing the pathogenic Vibrio. The method and results could be a good stencil-plate to the research of detecting the other food-borne pathogens with smartongue, and good reference information for the further study.
电子舌是一种现代分析仪器,能够很好地检测液体样品的综合信息。基于此,我们运用电子舌对细菌液体培养物进行检测,旨在开发一种用于检测和鉴定食源性病原体的新型快速方法。
使用一种新型伏安型电子舌——智能舌,对11种致病性弧菌进行检测和区分。采用主成分分析(PCA)提取智能舌获取的相关信息。通过数据评估,得到PCA的得分图。
根据这些图,我们确定了最适合我们目的的最可行工作电极及最有利的频率段。结果表明,区分致病性弧菌的最佳电极阵列和频率段分别是100 Hz的钛电极、100 Hz的银电极以及1 Hz和10 Hz的钨电极。我们在1 Hz钨电极的得分图中独立区分了11种致病性弧菌。我们还通过其他三个电极和频率中的两个的组合区分了所有弧菌。
从PCA分析结果来看,智能舌能够很好地区分11种致病性弧菌。作为一种用于检测和区分致病性弧菌的新型现代快速分析技术,它具有广阔的前景。该方法和结果可为利用智能舌检测其他食源性病原体的研究提供良好的模板,也可为进一步的研究提供良好的参考信息。