کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4508400 | 1321591 | 2016 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The study on the quality evaluation method for beef cut by using visible and near infrared spectroscopies
ترجمه فارسی عنوان
مطالعه روش ارزیابی کیفیت گوشت گاو با استفاده از طیف سنجی مادون قرمز قابل مشاهده و نزدیک است
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم زراعت و اصلاح نباتات
چکیده انگلیسی
This paper presents a nondestructive method for evaluating changes in the moisture content and in the interaction between contents such as protein and water molecule in beef cut by using visible and near infrared spectroscopies. Spectral variations in the 450-1100Â nm region were measured for a beef cut using two types of spectrometers. Bands were observed in the 540-570, 600-660 and 920-980Â nm regions according to the change in moisture contents. The PLS regression of moisture contents by using the second derivative in the 920-980Â nm region provided a very good predictive model with R2Â =Â 0.96 and RMSEÂ =Â 0.04. Moreover a band in the 600-660Â nm shifted to longer wavelength in the 0.9-1.0 of water activity range and then this band slightly shifted to shorter wavelength in the lower water activity range. This spectral behavior may reflect the appearance and oxidation of myoglobin due to dry in/on beef. Simultaneously, it is very likely that the behavior of each water state; free and bonded can describe well by that band shift. These results obtained therefore provide a fundamental chemical understanding of band behavior in the 600-660Â nm region and suggested that one can evaluate the quality degradation in beef cut by using visible and NIR spectral region.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering in Agriculture, Environment and Food - Volume 9, Issue 2, April 2016, Pages 195-199
Journal: Engineering in Agriculture, Environment and Food - Volume 9, Issue 2, April 2016, Pages 195-199
نویسندگان
Daitaro Ishikawa, Genjiro Ueno, Tomoyuki Fujii,