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PREDICTION OF TEXTURE IN GREEN ASPARAGUS BY NEAR INFRARED SPECTROSCOPY (NIRS)
Authors:D. PEREZ  M.T. SANCHEZ  G. CANO  A. GARRIDO
Affiliation:Department of Animal Production E.T.S. de Ingenieros Agrónomos y de Montes Alameda del Obispo s/n P.O. Box 3048 Universidad de Córdoba Córdoba, Spain;Department of Food Technology E.T.S. de Ingenieros Agrónomos y de Montes Alameda del Obispo s/n P.O. Box 3048 Universidad de Córdoba Córdoba, Spain
Abstract:NIR spectroscopy was used to estimate three textural parameters of green asparagus: maximum cutting force, energy and toughness. An Instron 1140 Texturometer provided reference data. A total of 199 samples from two asparagus varieties (Taxara and UC‐157) were used to obtain the calibration models between the reference data and the NIR spectral data. Standard errors of cross validation (SECV) and r2 were (5.73, 0.84) for maximum cutting force, (0.58, 0.66) for toughness, and (0.04, 0.85) for cutting energy. The mathematical models developed as calibration models were tested using independent validation samples (n =20); the resulting standard errors of prediction (SEP) and r2 for the same parameters were (6.73, 0.82), (0.61, 0.57) and (0.04, 0.89), respectively. For toughness, substantially improved r2 (0.85) and SEP (0.36) when four samples exhibiting large residual values were removed. The results indicated that NIRS could accurately predict texture parameters of green asparagus.
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