【正文】 RFMachado etc., Cyranose320type electronic nose Success diagnosed with lung cancer. Cao Mingfu such as Zhejiang University conducted the electronic nose in the early diagnosis of lung cancer, put forward a new electronic nose based virtual gas sensor array and image recognition method for noninvasive detection and diagnosis of lung cancer. In the identification of traditional Chinese medicine, Shen National Day Atractylodes Zhejiang, Ann domestic use of the electronic nose, bran fried Atractylodes soil fried Atractylodes powder detection using principal ponent analysis to analyze the data. The results show that the sample to obtain a better distinction.AgricultureThe electronic nose system has been successfully used for crop quality monitoring, detection and fish monitoring of fruit maturity, in addition to used to detect crop diseases caused by bacteria such as fungi, bacteria. The odor can be as important characteristics for detecting the state of health of the crop. Malaysia MAMarkoma and other proposed use of the builtin artificial intelligence electronic nose to detect plant diseases, especially basal rot. Commercial electronic nose Cyranose 320 as a frontend sensor ANN as a pattern recognition method, odor samples collected from the scene classification and recognition in puter. The results show that the system is able to distinguish between healthy and infected plant stems. Australia JHSohn and other electronic nose for continuous monitoring of the chicken farm odor. The results show that the algorithm is based on a specific model, the electronic nose can continuously monitor odor concentration.Environmental monitoringThe major environmental issues facing the world today is the toxic chemicals in air, water, soil pollution. Urban air pollution with the growing respiratory disease is closely related, and which some substances (such as benzene) longterm exposure will cause cancer. Italy Vito electronic nose system bined with neural network technology is used to predict atmospheric benzene concentration, to monitor urban environment pollution. British and other electronic nose technology for the detection of microbiological and chemical contamination of drinking water. The study is based on two types of sensor array of conductive polymer electronic nose system for the drinking water in the early detection and identification of bacteria, fungi. Using PCA, DFA and cluster analysis can identify through the propagation of bacteria and fungi for 24 hours at 25 ℃. The Italy39。 measuring device while using GCodor detected ten characteristic ponents affect the odor analysis with mature through online electronic nose MS results change degrees ingredients. The electronic nose spectrophotometer Italy and other sensory description used to predict the different brands of Italian wine. The use of a genetic algorithm to select variables, build predictive regression model。 can detect some of the human nose can not detect the gas, such as poison gas or some irritant gases, which in many areas, especially in the food industry plays an increasingly important role. And graphical cognitive equipment to help its specificity greatly enhance the development of sensor materials also contributed to the improvement of its repetitive, and with the improvement of biochips, biotechnology development and integration technology, and some nanomaterials The application of electronic nose will have broad application prospects. Many different types of the electronic nose, the typical working program that is: 1) Sensor initialization: using a vacuum pump to the air sampling lessons to small containers fitted with the electronic sensor array chamber。 Similarly, the 2nd gas generating high response of the sensor is not sensitive on the 1st gas and, ultimately, the entire sensor array response pattern is different for different gases, it is this difference, to enable the system to identify a gas according to the response of the sensor pattern. Electronic nose can be summarized as follows: the sensor array the signal preprocessing neural networks and a variety of algorithms puter identification (gas qualitative and quantitative analysis). Functionally speaking, the gas sensor array is equivalent to the biological olfactory system in a large number of olfactory receptor cells, neural network and the puter to recognize the biological equivalent of the brain, the rest is the equivalent of the olfactory nerve signal transduction system. For example, the measurement of the metal oxide semiconductor (MOS) gas sensor in response to the schematic diagram of the voltage signal. MOS gas sensor is usually before the test shall be heated to 2500 ℃ (or higher) in order to work properly. After the chemical reaction occurs in the testing process, the MOS gas sensor and the sample gas / odor, will change its own gas sensitive film conductivity and resistance values, leading to a terminal voltage of a sampling resistor in series thereto is changed. Due to sampling resistor is fixed, so the immediate extraction of the end of the sampling resistor voltage signal voltage MOS gas sensor response curve. 圖1Features:Electronic nose response time, speed detection, unlike other instruments, such as the gas chromatography sensors, highperformance liquid chromatography sensor need plex pretreatment process。 whether the final result of the clustering to set up, take identification of experts.Discriminant factor analysis (DFA)The judgment factor analysis is a statistical method to determine the individual category. Observations according to the known classes of two or more samples to determine one or more linear discriminant function discriminant index, then another body to determine which category the discriminant function based on discrimination index. DFA according to the results of the standard sample used for electronic noses to identify blind. By rebination of se