Topic
Bioprocess
About: Bioprocess is a research topic. Over the lifetime, 2219 publications have been published within this topic receiving 50972 citations.
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01 Mar 2003
TL;DR: Using the insight gained from the new scale‐down methodology gave predictions of the flux profile in a pilot‐scale candle filter superior to those obtained from the traditional batch filter used for laboratory development.
Abstract: The early specification of bioprocesses often has to be achieved with small (tens of millilitres) quantities of process material. If extensive process discovery is to be avoided at pilot or industrial scale, it is necessary that scale‐down methods be created that not only examine the conditions of process stages but also allows production of realistic output streams (i.e., streams truly representative of the large scale). These output streams can then be used in the development of subsequent purification operations. The traditional approach to predicting filtration operations is via a bench‐scale pressure filter using constant pressure tests to examine the effect of pressure on the filtrate flux rate and filter cake dewatering. Interpretation of the results into cake resistance at unit applied pressure (α) and compressibility (n) is used to predict the pressure profile required to maintain the filtrate flux rate at a constant predetermined value. This article reports on the operation of a continuous mode laboratory filter in such a way as to prepare filter cakes and filtrate similar to what may be achieved at the industrial scale. Analysis of the filtration rate profile indicated the filter cake to have changing properties (compressibility) with time. Using the insight gained from the new scale‐down methodology gave predictions of the flux profile in a pilot‐scale candle filter superior to those obtained from the traditional batch filter used for laboratory development. © 2003 Wiley Periodicals, Inc. Biotechnol Bioeng 83: 454–464, 2003.
41 citations
TL;DR: A novel bioreactor system was designed to monitor mass flux and was successfully applied to the optimization and scale-up of an industrial fermentation process for penicillin, erythromycin, chlortetracyclin, inosine, and guanosine and for production of recombinant human serum albumin and a malaria vaccine by use of the Pichia expression system.
Abstract: In this article problems in multi-scale industrial fermentation processes are discussed. The problems are generated virtually, by using computer simulation on three different scales – the molecular scale (genetics), the cellular scale (metabolic regulation), and the reactor engineering scale. Inter-scale observation and operation are deemed to be crucial in the optimization of bioprocesses. Bioreaction engineering based on metabolic flux analysis and control is further elucidated. Optimization methodology for study of multi-scale problems in a fermentation process, based on correlation of data, and the scale-up technique for regulation of several bioprocess parameters are generalized by investigation of two typical fermentation processes. A novel bioreactor system was designed to monitor mass flux (for example substrates and (by-)products) in a fermentation process. It was successfully applied to the optimization and scale-up of an industrial fermentation process for penicillin, erythromycin, chlortetracyclin, inosine, and guanosine, and for production of recombinant human serum albumin and a malaria vaccine by use of the Pichia expression system. Substantial improvement of industrial fermentation productivity was achieved.
41 citations
TL;DR: In this article, the authors proposed a generalization of the conventional exponential feeding strategy to the case of continuous processes with partial recycling, which can be regarded as a generic formulation of the exponential strategy.
41 citations
TL;DR: This is the first study where FT-IR in the mid-IR range has been used to quantify the expression of a heterologous protein directly from fermentation broths and the firstStudy to compare the abilities of PyMS and FT- IR for the quantitative analyses of an industrial bioprocess.
41 citations
TL;DR: Modelling relevant to lignocellulosic bioprocess including cell modelling based on kinetics, stoichiometry and integrative approaches and fermentation kinetic modelling for process performance assessment are discussed.
Abstract: Lignocellulosic feedstocks, which are currently under-exploited, can be used for the production of biofuels, such as ethanol, and for biorefinery applications to produce a variety of value-added products. Although bioconversion of lignocellulose by microbial or yeast fermentation have been reported, efficient and economical lignocellulosic fermentation process is still a challenge due to multiple process parameters involved for bioprocess design, optimization and scale-up. Bioprocess modelling strategies have been proven effective for achieving
high-production process* efficiency in yield, productivity or titer of desired product. Several types of bioprocess modelling for lignocellulosic application have been developed and successfully validated as a promising alternative for rapid design, optimization and scaling up of biomass-based process. This review aims to summarize the important development of bioprocess modelling for lignocellulosic bioprocess applications towards the success of biorefineries and bio-based economy. In particular, we discuss modelling relevant to lignocellulosic bioprocess including cell modelling based on kinetics, stoichiometry and integrative approaches and fermentation kinetic modelling for process performance assessment. An overview of these modelling approaches and their application for systematic design of efficient and economical lignocellulose-based bioprocesses are given.
41 citations