Assessment of cooked alpaca and llama meats from the statistical analysis of data collected using an 'electronic nose'

被引：31

作者：

Neely, K

Taylor, C

Prosser, O

Hamlyn, PF

机构：

[1] BTTG, Manchester M20 2RB, Lancs, England

[2] Univ Leeds, Dept Stat, Leeds LS2 9JT, W Yorkshire, England

[3] Bloodhound Sensors Ltd, Leeds LS2 3AR, W Yorkshire, England

来源：

MEAT SCIENCE | 2001年 / 58卷 / 01期

关键词：

Alpaca; artificial nose; camelid; chemical sensor; electronic nose; gas sensor; linear discriminant analysis; llama; meat analysis; odour analysis; olfaction; sensor array; statistical analysis;

D O I：

10.1016/S0309-1740(00)00130-3

中图分类号：

TS2 [食品工业];

学科分类号：

0832 ;

摘要：

As part of an EU-funded project to assist in developing the production chain of meat from camelids in South America we have investigated the possibility of using an electronic nose to distinguish bi tween the different types of meat of commercial interest. Onsite monitoring of freshly cooked camelid meat using a Bloodhound electronic nose has been carried out in Fern and Bolivia. Sampling was carried out using inert, collapsible plastic bags. Linear discriminant analysis of data generated by the electronic nose classified the samples of meat. Some problems experienced in analysing the data relating to sample size are discussed. (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：53 / 58

页数：6