Naslov
Application of the methodology of chemical engineering on development of bioprocess

Autori
Zelić, Bruno ; Vasić-Rački, Đurđa

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Enzyme Reaction Engineering, Book of Abstracts / Vasić-Rački, Đurđa ; Zelić, Bruno - Zagreb : Fakultet kemijskog inženjerstva i tehnologije Sveučilišta u Zagrebu, 2005, 15-16

Skup
Enzyme Reaction Engineering

Mjesto i datum
Cavtat, Hrvatska, 21.09.2005. - 24.09.2005

Vrsta sudjelovanja
Pozvano predavanje

Vrsta recenzije
Nije recenziran

Ključne riječi
chemical engineering methodology in bioprocess development; bioprocess development; simulation; optimization; ecological/economical bioprocess evaluation

Sažetak
Environmental protection and pollution control together with economic and social aspects are the key for evaluation sustainability. The development of eco-efficient products and processes is crucial for a sustainable development. An ecological and economic evaluation from the very beginning of the product/process design is therefore matter of prime importance. Evaluation procedure has to deal with a lack of knowledge in the early stages of product/process design and have to deliver sound results in the relatively short time period. It is possible to overcome that contradiction by using extensive, but nowadays time efficient modeling and simulation methods. Modeling, simulation and optimization, namely, enable to take maximal advantage of the experimental data at disposition. Chemical engineering methodology which include modeling, simulation and optimization of processes and process parameters is shown on the two examples ; the process of bioconversion of glucose to pyruvate using genetically modified Escherichia coli strain and the process of bioconversion of glucose to 2, 5-diketo-D-gluconic (2, 5-DKG) using Erwinia citreus. Optimization of process parameters was studied in detail using two different optimization techniques: genetic algorithms (GA) and evolutionary operation (EVOP). Both techniques are based on the principle of the evolution applied on the estimation of possible solutions – process optimums. The evolutionary operation was used to determine optimal operating conditions, namely pH and temperature for the process of bioconversion of glucose to 2, 5-DKG. For this purpose a two-level factorial experimental design with central point was used. Optimization using GA was applied to investigate influence of the mass fractions of PEG-6000, the mass fraction of ammonium sulfate, pH and BS Albumine (BSA) concentration on partition coefficient of BSA in an aqueous two-phase system consisting of PEG-6000 and ammonium sulfate. Comparing to the full experimental plan, which would take 1530 experiments, process optimum using GA was achieved only in twenty experiments. Modeling studies were performed to identify simple, easy to use, and robust models that are suitable to support the engineering tasks of process optimization and design. For this purpose, “ black box” unstructured cell models were chosen because they offer a significant simplicity at the same time providing a general understanding of the dominant metabolic processes in the production strain. Although these type of models require very rigorous constrains, they nevertheless showed their applicability and suitability for a variety of different modeling tasks. Basic principle used for the development of the unstructured cell model was shown also by two examples, for 2, 5-DKG and for pyruvate production process. Finally pyruvate production process with in-situ product recovery with fully integrated electrodialysis was shown as an illustration of eco-efficient process development. Use of mass balances and economic calculations during the early stages of process development was shown also for pyruvate production process. 1. B. Zelić, N. Pavlović, V. Delić, Đ. Vasić-Rački, Bioprocess Eng. 21 (1999) 45 2. B. Zelić, N. Pavlović, V. Delić, Đ. Vasić-Rački, Chem. Biochem. Eng. Q. 16 (2002) 7 3. B. Zelić, T. Gerharz, M. Bott, Đ. Vasić-Rački, C. Wandrey, R. Takors, Eng. Life Sci. 3 (2003) 299 4. B. Zelić, S. Gostović, K. Vuorilehto, Đ. Vasić-Rački, R. Takors, Biotechnol. Bioeng. 85 (2004) 638 5. B. Zelić, Đ. Vasić-Rački, C. Wandrey, R. Takors, Bioprocess Biosyst. Eng. 26 (2004) 249 6. Z. Findrik, B. Zelić, S. Bogdan, Đ. Vasić-Rački, Chem. Biochem. Eng. Q. 18 (2004) 105

Izvorni jezik
Engleski

Znanstvena područja
Biotehnologija

POVEZANOST RADA