Detection and simultaneous identification of microorganisms from headspace samples using an electronic nose.
Detection and simultaneous identification of microorganisms from headspace samples using an electronic nose.
复制标题
DOI：
10.1016/s0925-4005(97)00235-9
复制
发表时间：
1997-10-01
影响因子：
8.4
通讯作者：
Heron, S
中科院分区：
文献类型：
--
作者：
Gibson, TD;Prosser, O;Heron, S
使用电子鼻和神经网络分类器，通过测量平板培养物产生的挥发性化合物来检测和同时鉴定一系列微生物。在 37°C 下经过适当的生长期后，从接种的琼脂板形成的静态气氛中获取顶空样品，并使用以瞬态流模式运行的标准 16 传感器阵列进行分析。还确定了在没有微生物生长的情况下传感器阵列对水和对照介质的响应，从而可以更好地辨别微生物挥发物。使用标准反向传播神经网络技术处理生成的响应曲线以提供识别。 12种不同细菌和1种病原酵母菌的总体分类率为93.4%。使用相同的方法，七种细菌子集的数据给出了 100% 的分类。在第二个实验中，对三种相似的酵母培养物进行了比较，并以 96.3% 的水平正确分类，无需进行预处理以消除培养基产生的样本信号。对所选数据的主成分分析清楚地区分了水蒸气和测试样品。 (C) 1997 Elsevier Science S.A.
The detection and simultaneous identification of a range of microorganisms by measuring the volatile compounds produced from plate cultures has been carried out using an electronic nose and a neural network classifier. Headspace samples were taken from static atmospheres formed from inoculated agar plates after a suitable growth period at 37 degrees C and analysed using a standard 16 sensor array operating in transient flow mode. The response of the sensor array to water and to the control media in the absence of microbial growth was also determined, allowing greater discrimination of microbial volatiles. The response curves produced were processed using standard back propagation neural network techniques to provide identification. The overall classification rate for 12 different bacteria and one pathogenic yeast was 93.4%. Data for a sub-set of seven bacteria gave 100% classification using the same methods. In a second experiment three similar yeast cultures were compared and correctly classified at a level of 96.3% with no pre-processing to remove the sample signal generated by the media. Principal component analysis on selected data gave clear discrimination between water vapour and the test samples. (C) 1997 Elsevier Science S.A.