Heat treatment of milk aims to inhibit the growth of microbes, extend the shelf-life of products and improve the quality of the products. Heat treatment also leads to denaturation of whey protein and the formation of whey protein-casein polymer, which has negative effects on milk product. Hence the milk heat treatment conditions should be controlled in milk processing. In this study, the denaturation degree of whey protein and the combination degree of whey protein and casein when undergoing heat treatment were also determined by using the Native-PAGE and SDS-PAGE analysis. The results showed that the denaturation degree of whey protein and the combination degree of whey protein with casein extended with the increase of the heat-treated temperature and time. The effects of the heat-treated temperature and heat-treated time on the denaturation degree of whey protein and on the combination degree of whey protein and casein were well described using the quadratic regression equation. The analysis strategy used in this study reveals an intuitive and effective measure of the denaturation degree of whey protein, and the changes of milk protein under different heat treatment conditions efficiently and accurately in the dairy industry. It can be of great significance for dairy product proteins following processing treatments applied for dairy product manufacturing.
This paper presents a new approach for locating and repairing faults that cause runtime exceptions in Java programs. The approach handles runtime exceptions that involve a flow of an incorrect value that finally leads to the exception. This important class of exceptions includes exceptions related to dereferences of null pointers, arithmetic faults (e.g., ArithmeticException), and type faults (e.g., ArrayStoreException). Given a statement at which such an exception occurred, the technique combines dynamic analysis (using stack-trace information) with static backward data-flow analysis (beginning at the point where the runtime exception occurred) to identify the source statement at which an incorrect assignment was made; this information is required to locate the fault. The approach also identifies the source statements that may cause this same exception on other executions, along with the reference statements that may raise an exception in other executions because of this incorrect assignment; this information is required to repair the fault. The paper also presents an application of our technique to null pointer exceptions. Finally, the paper describes an implementation of the null-pointer-exception analysis and a set of studies that demonstrate the advantages of our approach for locating and repairing faults in the program.
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