Surribas Anna, Geissler David, Gierse Alexander, Scheper Thomas, Hitzmann Bernd, Montesinos José Luis, Valero Francisco
Departament d'Enginyeria Química, ETSE, Universitat Autònoma de Barcelona, Bellaterra, Spain.
J Biotechnol. 2006 Jul 13;124(2):412-9. doi: 10.1016/j.jbiotec.2006.01.002. Epub 2006 Feb 20.
State variables throughout non-induced and induced cultivations of Pichia pastoris for the heterologous Rhizopus oryzae lipase (ROL) production were monitored with a multi-wavelength on-line fluorescence sensor. Based on this work, the use of in situ multi-wavelength fluorometry combined with chemometrics models (PLS-1 models) provided a quantitative prediction of biomass and substrates (glycerol and methanol) during non-induced and induced ROL production. The mean prediction errors for both variables were about 7% and 10%, respectively. ROL is also quite satisfactory estimated in the exponential growth phase with prediction errors similar to biomass and substrate variables. However, in the stationary phase, where proteolytic degradation of ROL is observed, the prediction error could get a value about 20%. This fact is due to the lower reproducibility of protein production from batch to batch.
使用多波长在线荧光传感器监测了毕赤酵母在非诱导和诱导培养过程中用于生产异源米根霉脂肪酶(ROL)的状态变量。基于这项工作,原位多波长荧光法与化学计量学模型(PLS-1模型)相结合,能够对非诱导和诱导ROL生产过程中的生物量和底物(甘油和甲醇)进行定量预测。这两个变量的平均预测误差分别约为7%和10%。在指数生长期,ROL的预测误差与生物量和底物变量相似,估计结果也相当令人满意。然而,在观察到ROL发生蛋白水解降解的稳定期,预测误差可能达到约20%。这是由于批次间蛋白质生产的重现性较低。