کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2451053 1109670 2009 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An attempt to predict pork drip loss from pH and colour measurements or near infrared spectra using artificial neural networks
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش تغذیه
پیش نمایش صفحه اول مقاله
An attempt to predict pork drip loss from pH and colour measurements or near infrared spectra using artificial neural networks
چکیده انگلیسی

The ability to predict meat drip loss by using either near infrared spectra (SPECTRA) or different meat quality (MQ) measurements, such as pH24, Minolta L∗, a∗, b∗, along with different chemometric approach, was investigated. Back propagation (BP) and counter propagation (CP) artificial neural networks (ANN) were used and compared to PLS (partial least squares) regression. Prediction models were created either by using MQ measurements or by using NIR spectral data as independent predictive variables. The analysis consisted of 312 samples of longissimus dorsi muscle. Data were split into training and test set using 2D Kohonen map. The error of drip loss prediction was similar for ANN (2.2–2.6%) and PLS models (2.2–2.5%) and it was higher for SPECTRA (2.5–2.6%) than for MQ (2.2–2.3%) based models. Nevertheless, the SPECTRA based models gave reasonable prediction errors and due to their simplicity of data acquisition represent an acceptable alternative to classical meat quality based models.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Meat Science - Volume 83, Issue 3, November 2009, Pages 405–411
نویسندگان
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