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A model for diffusion in grains, through the drying process in the form of moisture removal, discussed through this work. While in drying, the moisture leaves the product as vapour or gas. This is achieved by impairing energy to the moisture molecule or changing the environment, so that the molecule will have sufficient latent energy to leave the product. Hence it is the process, which is intended to remove moisture from a feed substance so that the feed becomes "dry" as final product. Moisture reduction can also be achieved by mechanical methods. Using the pressure gradient as the driving force with combined flux, we get a system of partial differential equation which will be then solved with the help of MATLAB 7.0 and finally the graphs shows the variation of moisture with respect to diffusion coefficient at different temperature and as well as variation of moisture with the time.

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Cancer is turning into the leading cause of death across the planet but with all of the details on how to expand complementary treatment strategies, it is continued to be a mystery. Mathematical models provide realistic representations and sizes of complex biological systems, as well as the clarification of organisms by their effects can provide insight into the shape predictions of the plant under different conditions. Also tumorigenesis can be understandable by the use of biomaterials and biomaterials have also ability to identify and capture tumor cells in vitro and in vivo. As to recapitulate key features of the tumor microenvironment in vitro, including architectural, mechanical, and biological functions, natural and synthetic biomaterials can be applied as models. In this work, a mathematical model is developed by using the delay differential equation methodology in which the discussion has been made on stability analysis with time delay.

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