电子鼻与电子舌的论文研究.ppt

e-nose and e-tongue combination for improved recognition of fruit juice samples,author,michael a. mastanduno ： thayer school of engineering , major in biomedicine, chemical engineering and bioelectronics roberta diflorio -alexander: dartmouth college , major in computer science and electronic engineering,contents,introduction,the objective of this study was to demonstrate the effectiveness of combining e-nose and e-tongue systems for discrimination of different beverage fruit juices that cannot be easily recognised by an e-nose or e-tongue separately.,in these systems, as much information as possible is required in relation to smell, taste and colour. here, we investigated the possibility of using a multisensor data fusion approach, which combines an e-nose and an e-tongue, adept in generating combined aroma and taste profiles.,key words,e-nose e-tongue data fusion fruit juices data analysis pattern recognition methods 电子鼻 电子舌 数据融合 果汁饮料 数据分析 模式识别方法,highlight,combined e-nose and e-tongue results,highlight,sample selection and preparation,highlight,e-nose setup and measurement,1.the sensor array: five tgs 8xx (with xx = 15, 22, 24, 25 and 42) a temperature sensor (lm335z) a relative humidity sensor (hih4000-01) 2.the sampling vessel: transport the odorant molecules of a sample from the vial collection device , via pure nitrogen (carrier gas), to facilitate contact with the sensor headspace. 3.the data acquisition system: measured the variation of the sensors conductivity using a pic16f877 microcontroller, (via a serial rs232 communication port).,highlight,e-nose setup and measurement,highlight,e-tongue setup and measurement,the e-tongue setup used for the analysis of juices has two parts: 1.ion-selective electrodes: six potentiometric chemical sensors. (sodium(钠), potassium(钾), calcium(钙), nitrate(硝酸盐), chloride(氯化物), fluoride(氟化物) 2.ion-analyser: 8-channel; registered data are ion concentrations:ca2+, k+, na+, cl-, f- and no3-,highlight,combined e-nose and e-tongue results,the raw data obtained from the e-nose, the e-tongue, and the two combined were analysed by unsupervised pattern recognition techniques such as: pca.,pca means principal component analysis(主元分析). it is a very well-known unsupervised method often employed with several kinds of gas and taste sensor arrays. the main objective of pca consists of expressing information contained in a dataset.,highlight,combined e-nose and e-tongue results,contribution,in this paper, two electronic analysing systems and their combination were built with the aim of distinguishing eleven kinds of tunisian juice flavourings from four different brands. this data fusion technique represents a fast and reliable pattern screening method due to the high cross-sensitivity of the combined system and, hence, it is appropriate to ensure the quality control of several kinds of beverage and food products. work is in progress to develop a sophisticated data fusion technique to characterise other types of food samples such as moroccan virgin olive oils.,difficult sentences,the e-tongue setup used for the analysis of juices was designed using a sensor array of six potentiometric chemical sensors which were all-solid-state ion-selective p