Polyphenols Recovery from Industrial Waste Using Microwave-Assisted Extraction-Comparative RSM and ANN Approach for Process Optimization.

The aim of this study was to valorize L. herbal dust, the particular fraction distinguished as industrial waste from filter-tea production. This work demonstrated comparable analysis considering model fitting, influence analysis and optimization of microwave-assisted extraction (MAE) of bioactive compounds from the aforementioned herbal dust using face-centered central composite experimental design within the response surface methodology (RSM), as well as artificial neural networks (ANN).

Using the breakage matrix approach for monitoring the break release in the wheat flour milling process.

Background: The breakage matrix approach is a mathematical tool to relate input and output particle size distribution from a milling operation. Adjustment of the break release in the flour milling process is extremely important because it affects granulation and quality characteristics of the stock and hence the total results and balance of the mill. In this study the breakage matrix approach has been used for the purpose of controlling the release on the front passages of the break system in the flour milling process.

The function for estimating the separation efficiency of the wheat flour milling process.

Considering the significant differencies between the chemical composition of the kernel layers, distribution of chemical compounds in intermediate, final and subproducts of the milling process come as a result of the level of dissociation achieved during the milling process. These differences serve as a basis for the mill process control. Ash determination is probably the most widely used tool while even greater differencies exist in cellulose and especialy starch content.