Prediction of Egg Freshness and Albumen Quality Using Visible/Near Infrared Spectroscopy

Food and Bioprocess Technology

Volumn 4, Issue 5, 2011, Pages 731-736

  Abdel Nour, Nicolas ^a   Ngadi, Michael ^a   Prasher, Shiv ^a   Karimi, Yousef ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Egg freshness; Egg quality; Partial least squares; VIS NIR spectroscopy

Indexed keywords

ASSESSMENT METHODS; CONTROLLED CONDITIONS; CORRELATION COEFFICIENT; EGG FRESHNESS; EGG QUALITY; NON DESTRUCTIVE; NON-DESTRUCTIVE TECHNIQUE; NONDESTRUCTIVE METHODS; PARTIAL LEAST SQUARES; PREDICTIVE MODELS; ROOT MEAN SQUARE ERRORS; SPECTRAL DATA; TRANSMISSION SPECTROSCOPY; VIS/NIR SPECTROSCOPY; VISIBLE/NEAR INFRARED SPECTROSCOPY;

FORECASTING; HUMIDITY CONTROL; INFRARED DEVICES; INFRARED SPECTROSCOPY; RATING;

LEAST SQUARES APPROXIMATIONS;

EID: 79956275987     PISSN: 19355130     EISSN: 19355149     Source Type: Journal    
DOI: 10.1007/s11947-009-0265-0     Document Type: Article

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