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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.

机译:优化某些糖蜜类型中形成的5-羟甲基糠醛(HMF)的含量:HPLC-DAD分析,以确定不同储存时间和温度水平的影响。

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In this study, the effect of different storage temperatures (25, 35 and 45 degrees 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.Digital Object Identifier http://dx.doi.org/10.1016/j.indcrop.2013.05.030
机译:在这项研究中,不同的储存温度(25、35和45摄氏度)和储存时间(0、45和90天)对理化性质(颜色值,pH和白利糖度)和HMF(5-羟甲基糠醛)含量的影响研究了葡萄,桑,、黑桑and和角豆糖蜜的样品。进行了两因素三级复合面部中心设计,以建模和研究这些因素对这些样品的HMF含量的影响。结果,发现储存温度和时间值显着改变了理化性质和HMF含量。糖蜜样品中的HMF含量随温度和储存时间的增加而增加。通常在桑树和黑桑树蜜中观察到最高的HMF水平。使用多元线性回归分析和向后消除回归(BER)程序开发了最合适的二阶多项式模型,以从模型中删除无关紧要的因素和相互作用。建立的模型的R 2 值高于0.844,表明该模型足以预测HMF含量。数字对象标识符http://dx.doi.org/10.1016/j.indcrop.2013.05。 030

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