کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4753094 1416486 2017 35 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Using an image processing based technique and predictive models for assessing lipid oxidation in rainbow trout fillet
ترجمه فارسی عنوان
با استفاده از تکنیک پردازش تصویر و مدل های پیش بینی برای ارزیابی اکسیداسیون چربی در فیله ماهی قزل آلا رنگین کمان
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
چکیده انگلیسی
The potential of image processing techniques in combination with multivariate regression analysis was studied for prediction of the lipid oxidation of stored trout fillets at 4 °C. Fillet images were acquired using an imaging system during the time intervals of 0, 5, 10, 15 and 20 days and the means of colorimetric parameters (L*, a*, b*, C* and h*) were obtained from the images. The multivariate regression models were built using a stepwise regression algorithm for prediction of the oxidative attributes. The models did well predicting the contents of FFA, PV and TBARS with the coefficient of determination (R2adjusted) of 0.66, 0.78 and 0.94, respectively. Among all measured colorimetric parameters, hue angle (h*) and lightness (L*) showed more significant contributions in the modeling analyses. Overall, image processing techniques in combination with predictive models may possibly be useful as a precise and non-destructive method for assessment of oxidation in rainbow trout.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Bioscience - Volume 19, September 2017, Pages 42-48
نویسندگان
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