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The procedure for calculating the pair function is as follows. Given the particle diameter d, particle concentration f, and particle stickiness T, the parameter t is first determined from (8.4.22) (8.4.24). By using the parameter t and Eqs. (8.4.19)-(8.4.21), C(p) can be computed. Next, H(p) is computed by solving (8.4.6). Then h(r) is obtained by taking an inverse Fourier transform of H(p) according to (8.4.7). Finally, the pair distribution function g(r) can be calculated from h(r) + 1. In Fig. 8.4.1, the pair distribution functions are shown for systems with sticky particles of identical size, T = 0.2 and T = 0.5, and compared with the non-sticky case for f = 0.3. In the figure, we do not include the Dirac delta functions of (8.4.5). The major features for the pair distribution functions of sticky particles are the occurrence of discontinuities when the particle separation equals one and two diameters. The discontinuity at r = d arises because the particles cannot penetrate each other. The height of the peak at r = d grows rapidly with the increase of particle stickiness while the width of this peak is reduced. This shows a stronger connectedness between particles as particles become more sticky, and other particles are more likely to be excluded from the region d < r < 2d. Therefore, in a dense medium with sticky particles, the sticky particles tend to aggregate together. The

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The market activity in the years leading up to and following the biotech bubble in 2000 focused on new discoveries in genomics and their effect on pharmaceutical development, medical advances, and agricultural break throughs. However, the biotech industry predates the discovery of the dou ble helix structure of DNA or the sequencing of the human genome. As discussed here, the established biotech market includes the mass produc tion of amino acids, organic acids, polyhydroxyalkanoates (biodegradable plastics), microbial polysaccharides (gums), antibiotics, and enzymes. Ex amples of products within each market category, their applications, and the underlying technology used in their production are listed in Figure 2.2. Most of the products in the established biotech market rely at least partially on the growth of microbes (fermentation), including bacteria and fungi. Some products are synthesized primarily through chemical synthesis, the mixture of chemicals without the presence of microorganisms. This synthesis often depends on organic compounds (enzymes) that increase the rate and ef ciency of the chemical reactions, (enzymatic catalysis). Another approach used in the industry is biotransformation, the process by which compounds produced through chemical synthesis are transformed by mi croorganisms into the nal products. The converse operation, chemical processing, involves the chemical manipulation of compounds produced through the fermentation of microorganisms.

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Figure 8.4.1 Percus-Yevick Pair distribution function for sticky spheres with = 0.5, and for non-sticky spheres. Fractional volume is f = 0.3.

= 1.5

Figure 8.4.2 Percus-Yevick Pair distribution function for sticky spheres with 0.4 and stickiness T = 0.2.

3 Enter the name of the unit test project Use standard naming conventions for your project name If you have just one unit test project, you can name it using the project abbreviation with a suf x de ning the type of project for example, PTUnitTest However, if you plan to have multiple unit test projects for your application, give the test a descriptive name based on what the unit test is testing 4 Click Create to create the unit test project Visual Studio creates the test project, adds it to Solution Explorer, and creates an empty test class with an empty test method It also adds an AuthoringTeststxt le to the project to provide you with guidance on authoring and running tests You can then add the required code to the unit tests In this case, however, none of the code is added for you You need to build it all from scratch

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