Abstract
The aim of this study was to examine the potential of NIR hyperspectral reflectance imaging for the prediction of pH, colour (L* value) and water holding capacity (WHC) of different lamb muscles. Hyperspectral images were obtained using a pushbroom NIR hyperspectral imaging system in the spectral range of 900-1700 nm. Muscles from semitendinosus (ST), semimembranosus (SM), Longissimus dorsi (LD) of Suffolk, Telex, Blackface and Charollais breeds were used for the study. Partial least squares regression (PLSR) models were developed to relate the NIR reflectance spectra and pH, colour and WHC values of the tested muscles. The models performed well for predicting colour, pH and WHC with the coefficient of determinations (R2) of 0.91, 0.60 and 0.66 respectively. The results clearly indicated that NIR hyperspectral imaging technique has the potential as a non-invasive method for predicting quality attributes of lamb.
| Original language | English (US) |
|---|---|
| State | Published - 2011 |
| Externally published | Yes |
| Event | 6th International CIGR Technical Symposium - Towards a Sustainable Food Chain: Food Process, Bioprocessing and Food Quality Management - Nantes, France Duration: Apr 18 2011 → Apr 20 2011 |
Conference
| Conference | 6th International CIGR Technical Symposium - Towards a Sustainable Food Chain: Food Process, Bioprocessing and Food Quality Management |
|---|---|
| Country/Territory | France |
| City | Nantes |
| Period | 4/18/11 → 4/20/11 |
Keywords
- Lamb
- Longissimus dorsi
- NIR hyperspectral imaging
- PLSR
- Quality attributes
- Semimembranosus
- Semitendinosus
ASJC Scopus subject areas
- Food Science