کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2449639 1554081 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Potential of fluorescence spectroscopy to predict fatty acid composition of beef
ترجمه فارسی عنوان
پتانسیل طیف سنجی فلورسانس برای پیش بینی ترکیب اسید چرب گوشت گاو
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش تغذیه
چکیده انگلیسی


• Fluorescence spectroscopy is able to predict FA and lipid contents of beef meat.
• Fluorescence spectroscopy is more suited to measure SFA and MUFA than PUFA.
• FFFS worked better than SFS for predicting lipids in beef meat.

The present study aimed to evaluate and compare the ability of front face (FFFS) and synchronous fluorescence spectroscopy (SFS) to predict total fat and FA composition of beef LT muscles coming from 36 animals of 3 breeds (Angus, Limousin and Blond d'Aquitaine). The regression models were performed by using Partial Least Square (PLS) method. In spite of the low number of samples used, the results of this preliminary study demonstrated the ability of fluorescence spectroscopy to predict meat lipids. Nonetheless, the results suggested that the fluorescence spectroscopy is more suited to measure SFA (R2p ≥ 0.66; RPD ≥ 2.29) and MUFA (R2p ≥ 0.48; RPD ≥ 1.49) than PUFA (R2p ≤ 0.48; RPD ≤ 1.63). Moreover, R2 and RPD factors obtained with FFFS were greater compared to the ones obtained with SFS suggesting that FFFS is more adapted to measure lipid composition of beef meat.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Meat Science - Volume 113, March 2016, Pages 124–131
نویسندگان
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