Sensory based quality control utilising an electronic nose and GC-MS analyses to predict end-product quality from raw materials
Research output: Contribution to journal › Journal article › Research › peer-review
Original language | English |
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Journal | Meat Science |
Volume | 69 |
Issue number | 4 |
Pages (from-to) | 621-634 |
Number of pages | 14 |
ISSN | 0309-1740 |
Publication status | Published - 2005 |
ID: 7949221