کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6377042 1624859 2013 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimization of the content of 5-hydroxymethylfurfural (HMF) formed in some molasses types: HPLC-DAD analysis to determine effect of different storage time and temperature levels
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم زراعت و اصلاح نباتات
پیش نمایش صفحه اول مقاله
Optimization of the content of 5-hydroxymethylfurfural (HMF) formed in some molasses types: HPLC-DAD analysis to determine effect of different storage time and temperature levels
چکیده انگلیسی


- RSM was used to study effect of storage temperature and time.
- Temperature and time influenced physicochemical properties and HMF content of molasses.
- There were remarkable effects of the temperature and time on the HMF contents.
- HMF content of the molasses samples could be adequately described and predicted.
- It can be recommended that the molasses samples be kept under low temperatures.

In this study, the effect of different storage temperatures (25, 35 and 45 °C) and storage times (0, 45 and 90 days) on physicochemical properties (color values, pH, and brix) and HMF (5-hydroxymethylfurfural) contents of grape, mulberry, black mulberry and carob molasses samples was studied. A two factor-three level composite face center design was performed to model and study effects of these factors on the HMF contents of these samples. As a result, storage temperature and time values were found to remarkably change the physicochemical properties and HMF contents. HMF content of the molasses samples increased with temperature and storage time. The highest HMF levels were generally observed in mulberry and black mulberry molasses. The best fitting second order polynomial models were developed using multiple linear regression analysis with backward elimination regression (BER) procedure to remove insignificant factors and interactions from the models. R2 values of the established models were higher than 0.844, indicating that models were adequate to predict HMF content.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Industrial Crops and Products - Volume 50, October 2013, Pages 137-144
نویسندگان
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