352 Fermentation and Biochemical Engineering Handbook 2.0 DISTRIBUTION DATA Although data for many systems are available in the literature, in many cases it will be necessary for the engineer to obtain the distribution information for his own specific application The simplest method is to mix solvent and feed liquors containing arying quantities of solute in a separatory funnel, and analyze each phase for solute after settling. Where feed and solvent are essentially immiscible, the binary plot, such as shown in Fig. 4, is useful For later ease of calculation, it is desirable to express concentrations on a solute-free basis. If there is extensive miscibility, a termary plot(Fig. 5)would be preferable. Tie lines represent the equilibrium between the coexisting phases HAc Figure 4. Binary plot of distribution data Figure 5. Ternary plot of distribution data Plotting the data on log-log graphs may be helpful in understanding some of the underlying phenomena and interpolating or extrapolating meager data. An example is shown in Fig. 6 for the distribution of phenol between water and various chlorinated methanes. In the dilute region, the limiting352 Fermentation and Biochemical Engineering Handbook 2.0 DISTRIBUTION DATA Although data for many systems are available in the literature,['] in many cases it will be necessary for the engineer to obtain the distribution information for his own specific application. The simplest method is to mix solvent and feed liquors containing varying quantities of solute in a separatory bel, and analyze each phase for solute after settling. Where feed and solvent are essentially immiscible, the binary plot, such as shown in Fig. 4, is usefbl. For later ease of calculation, it is desirable to express concentrations on a solute-free basis. If there is extensive miscibility, a ternary plot (Fig. 5) would be preferable. Tie lines represent the equilibrium between the coexisting phases. &I-& gw X Figure 4. Binary plot of distribution data. Figure 5. Ternary plot of distribution data. Plotting the data on log-log graphs may be helphl in understanding some of the underlying phenomena and interpolating or extrapolating meager data. An example is shown in Fig. 6 for the distribution of phenol between water and various chlorinated methanes. In the dilute region, the limiting