Assessment of meat freshness with metal oxide sensor microarray electronic nose: A practical approach

作者：Musatov V Yu; Sysoev V V; Sommer M; Kiselev I^*

来源：Sensors and Actuators B: Chemical , 2010, 144(1): 99-103.

DOI：10.1016/j.snb.2009.10.040

• Food freshness
• Metal oxide sensor array
• Industrial application
• LDA

We estimate the ability of KAMINA e-nose based on a metal oxide sensor (MOS) microarray and linear discriminant analysis (LDA) pattern recognition to evaluate meat freshness. The received results show that: (1) one or two exposures of standard meat samples to the e-nose are enough for the instrument to recognize with 100% probability the fresh meat prepared by the same supplier; (2) the meat samples of two kinds, stored at 4 and 25 C, are mutually recognized at early stages of decay with the help of the LDA model built independently under the e-nose training to each kind of meat; (3) the 3-4 training cycles of exposures to meat from different suppliers are necessary for the e-nose to build a reliable LDA model accounting for the Supplier factor. This Study approves that the MOS e-nose is ready to be currently Utilised in food industry for evaluation of product freshness. The e-nose performance is characterized by low training cost, a confident recognition power of various product decay conditions and easy adjustment to changing conditions. In addition, we discuss criteria of e-nose training completeness.

• 出版日期2010-1-29