Cornell model predictions

Figure 4. Variation of cell volume with growth rate. For glucose-limited cells O, data from Cornell , data from Ref. 64. For ammonium-limited cells A. data from Cornell. Solid line, the model s prediction for glucose-limited cells dashed line, models prediction for ammonium-limited cells.

The solvent-mediated transformation of o -L-glutamic acid to the S-form was quantitatively monitored over time at a series of temperatures [248]. The calibration model was built using dry physical mixtures of the forms, but still successfully predicted composition in suspension samples. Cornel et al. monitored the solute concentration and the solvent-mediated solid-state transformation of L-glutamic acid simultaneously [249]. However, the authors note that multivariate analysis was required to achieve this. Additionally, they caution that it was necessary to experimentally evaluate the effect of solid composition, suspension density, solute concentration, particle size and distribution, particle shape, and temperature on the Raman spectra during calibration in order to have confidence in the quantitative results. This can be a substantial experi-... 

Lapierre, H., G.E. Lobley, D.R.Ouellet, L. Doepel and D. Pacheco, 2007. Amino acid requirements for lactating dairy cows Reconciling predictive models and biology. In Proc. Cornell Nut Conf. 2007. 

Cannas, A., L.O. Tedeschi, A.S. Atzori, and D.G. Fox, 2006. Prediction of energy requirement for growing sheep with the Cornell Net Carbohydrate and Protein System. In Kebreab, E., Dijkstra, J., Bannink, A., Gerrits, W.J.J. and J. France (eds.). Nutrient digestion and utilization in farm animals modelling proaches. CAB International, Wallingford, UK 99-113. 

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