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Design of Optimal Product

Bio-based fuel with multiple improved properties is designed from palm-based biomass. It is aware that biofuel is a mixture of different hydrocarbons. For the ease of illustration, the biofuel is targeted and designed as a single-component biofuel. [Pg.282]

Novel Methodologies for Optimal Product Design from Biomass 283 [Pg.283]

Steps 2 and 3 Identify target properties and appropriate property prediction models [Pg.283]

fax the correlation constants. Since the values of the constant c, d, e, /are relatively insignificant, only the first two terms of Equation 11.27 will be considered for this case study. For the prediction of HHV, a GC model developed by Yunus (2014) as shown in Equation 11.28 is utilised  [Pg.283]

For the prediction of log LC, a valence Cl of order zero (Juric et al., 1992) as shown in Equation 11.30 is utilised  [Pg.283]


Risk analysis has been proven to retain the flexibility necessary to make it a useful model system for addressing the countless issues that are found to be associated with plant-derived pharmaceuticals (Wolt and Peterson, 2000). Over the past few years, a great deal of information and experience has steadily accumulated with respect to risk analysis of pharmaceuticals that are currently produced in bacterial and aifimal cell bioreactor systems. Risk analysis has also been performed on transgenic crops used for food production as well as for other applications. As a result, elements from each of these disciplines can be incorporated into the design of optimal production and testing policies and practices. Risk analysis has been employed to cover a series of important issues regarding the large-scale manufacture of plant-made biopharmaceuticals, and will continue to present serious issues for researchers in the academic, corporate, and public health arenas to address (Miele, 1997 Ciliberti and Molinelli, 2005). [Pg.177]


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