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Magnetic induction spectroscopy (MIS) has many potential applications in medical engineering as well as industrial and food manufacturing process applications, providing a contact-less impedance measurement.
D- isoascorbic acid can prevent the food oxidation, inhibit the decrease of color, aroma and flavors, and block the production of the carcinogen ammonium nitrite during food manufacturing process.
D- isoascorbic acid (synonyms: Erythorbic acid, D-araboascorbic acid) is mainly used as a food antioxidant with the ability to prevent the food oxidation, decrease the color aroma and flavors, and block the carcinogen ammonium nitrite production during food manufacturing process [4].
Our ability to relate starch granule structure to suitability for a particular food manufacturing process or its nutritional qualities depends not only on knowledge of the genetic and environmental factors that control starch biosynthesis, and in turn granule morphology, but also on how the material is processed.
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Now it is extensively applied in the optimization of medium composition, conditions of enzymatic hydrolysis, fermentation and food manufacturing processes.
The concepts of sustainability and automation are analyzed in the context of food manufacturing processes.
HP can affect the functionality of protein and carbohydrate molecules often in unique ways, which may allow optimization of food manufacturing processes and production of novel foods.
It is concluded that food manufacturing processes provide significant opportunities for further integration of automated tools, methods and technologies that advocate sustainable development.
Therefore, during the past decades, RSM has been extensively applied in the optimization of medium composition, fermentation conditions and food manufacturing processes (Vazquez and Martin 1997; Park et al. 2005).
These effects include decision-making about which cultivars of current or future food staples to incorporate into existing and future food systems, and which components of waste streams from current or future food manufacturing processes have nutritional value that is worth capturing.
Proper control over food manufacturing processes calls for appropriate analytical methods, capable of providing reliable results when analysing food samples, usually characterised by quite a complex matrix.
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