首页 | 本学科首页   官方微博 | 高级检索  
     


Odour sampling system with modifiable parameters applied to fruit classification
Authors:Eduardo Garcia Breijo  Valeria Guarrasi  Rafael Masot Peris  Miguel Alcañiz Fillol  Cristian Olguin Pinatti
Affiliation:1. Institute of Molecular Recognition and Technological Development, Unidad Mixta UPV-UV, Universitat Politècnica de Valéncia, Camino de Vera s/n, 46022 Valencia, Spain;2. Institute of Biophysics at Palermo, Italian National Research Council, Italy
Abstract:The aroma emanating from fruits can indicate the maturity level and thus the quality and shelf life of the products. In this work it is presented an odour sampling system system (called also electronic nose), to classify the aroma of Diospyros kaki, whose working parameters can have variable configuration making the system flexible. The system can be appropriately reconfigured for each type of sampling. It is formed by a metal oxide semiconductor (MOS) commercial sensors matrix, which are individually controlled, being able to modify by software several parameters of their operating point. Working this way there is not a limited number of sensors but a very high number of virtual sensors. The system shows the ability to discriminate aroma of two Diospyros kaki cultivars. Moreover the instrument is capable to distinguish the fruits, inside the persimmon cultivar cluster, according to the ripe state after few days of storage.
Keywords:Electronic nose  Pattern recognition  Microcontroller  Food classification
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号