Application of DDC Technology Day | Electronic Nose in Identification of Different Types of Feed Flavoring Agents
ABSTRACT: Feed flavoring agents of similar flavor types were detected by odor fingerprint analyzer (electronic nose), and principal component analysis (PCA) of collected data showed that the similarity of the tested feed flavoring agents of similar flavor types was 86.09%. The electronic nose could identify the similar flavoring agents of feed very well, and could directly judge the similarity and difference.
Key words: electronic nose, feed flavoring agent, principal component analysis
At present, sensory analysis, gas chromatography and gas chromatography-mass spectrometry are the main identification methods of feed flavors. The results of sensory analysis are limited by the subjective conditions of the analysts and are prone to missed and mistaken detection. Gas chromatographic analysis and gas chromatography-mass spectrometry are scientific and rigorous methods, but the detection methods are poor in real time and complicated in steps. Their advantages are that they can be used for the separation and determination of almost all compounds. The disadvantage is that samples need to be prepared and processed, and the analysis time is long [2-3]. Therefore, more convenient, accurate results, reliable and low technical requirements for users are needed. To meet the rapid and extensive detection needs.
Electronic nose technology has been widely used in many fields such as food [4-7]. Electronic nose is an electronic system which uses the response pattern of gas sensor array to identify odor. It can continuously and real-time monitor the odor status at a specific location in several hours, days or even months. The working principle of electronic nose is that the conductivity of active materials changes when the sensor and odor interact, and the signal is measured by the change of resistance in the circuit. Quantity. Compared with ordinary analytical instruments, the electronic nose obtains the overall information of volatile substances in the tested samples, i.e. fingerprint data. Using electronic nose to collect and analyze fingerprint data of feed fragrances, we can accurately distinguish different types of feed fragrances.
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