Evaluation of sensory quality of calf chops: A new methodological approach
| Autor: | F.J. Pérez Elortondo, M. Ojeda, P.F. Gil, Iñaki Etaio, Marta Albisu, J. Salmerón |
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| Rok vydání: | 2013 |
| Předmět: |
Meat
Computer science media_common.quotation_subject Decision tree Sensory system Sample (statistics) Machine learning computer.software_genre Food Quality Animals Humans Quality (business) media_common business.industry Decision Trees Consumer Behavior Diet Weighting Taste Odorants Cattle Quality level Artificial intelligence Food quality business computer Food Analysis Food Science |
| Zdroj: | Meat Science. 94:105-114 |
| ISSN: | 0309-1740 |
| DOI: | 10.1016/j.meatsci.2013.01.003 |
| Popis: | A new method to evaluate the sensory quality of calf chops was developed by discussion with experts. Resulting method comprised four parameters: quality related to odor, texture, flavor and persistence. For each parameter, the sensory characteristics perceived are marked and, by using decision trees, corresponding quality is directly scored, so making the assessment more objective. Global sensory quality is calculated by weighting these four partial qualities. Due to sensory characteristic collection, the method also provides an exhaustive description of each sample. To check the appropriateness of the method, 127 calf chop samples were evaluated by a panel specifically trained to apply it. Results confirmed the suitability of the method to describe the samples and differentiate among them according to their quality level. This innovative approach can be very useful for quality control and also to study the effects of different factors on meat sensory quality. |
| Databáze: | OpenAIRE |
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