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Equality constraints derived from material and energy balances are employed for the detection of data inconsistencies and for the subsequent identification of the suspect measurements by a process of data analysis and rectification. Maximum likelihood techniques are applied to the estimation of the states and parameters of the bioreactor after the suspect measurements have been eliminated. The level of significance is specified by the experimenter while the measurments are assumed to be randomly, normally distributed with zero mean and known variances. Two different approaches of data analysis, batchwise and sequential, that lead to a consistent set of adjustments on the experimental values, are discussed. 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Growth characteristics of these recombinant strains and β‐lactamase activity expressed from a plasmid gene were investigated in Luria broth (LB) and in minimal medium (M9) containing in some cases casamino acids or different concentrations of α‐methylglucoside, a competitive inhibitor of glucose transport. Maximum specific growth rates in LB and minimal media were reduced for increasing plasmid content per cell. Plasmid copy number increased when specific growth rate was reduced by changing medium composition. Growth rates of high copy number strains were less sensitive to α‐methylglucoside than lower copy number strains and the plasmidfree host. 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It was thereby expected to ensure the stability of the process during the startup and during steady‐state running with an acceptable performance. The methane pilot reactor was operated in the completely mixed, once‐through mode and computer‐controlled during 161 days. 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For this purpose, biofilm volumes of 4 × 4 × 1.6 mm\u003Cjats:sup>3\u003C\u002Fjats:sup> were scanned with spatial resolutions lower than 20 µm within an acquisition time of 2 min. A heterogeneous structure was detected for biofilms cultivated in laminar as well as transient flow conditions. The structure was found to be more homogeneous for the biofilm grown in turbulent flow. This biofilm structure was characterized by a volumetric porosity of 0.36, whereas the porosity calculated for biofilms grown in laminar and transient conditions was 0.65. These results were directly generated from the distribution of porosity calculated from the OCT images acquired and can be linked to structural properties. Up to now, the mesoscale biofilm structure was only observable with time‐consuming and expensive studies, for example, magnetic resonance microscopy. 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Chúng tôi phát hiện ra rằng chi phí sản xuất enzyme cao hơn nhiều so với mức thường được giả định trong tài liệu hiện có. Ví dụ, đóng góp chi phí của enzyme vào lượng ethanol sản xuất từ quá trình chuyển đổi thân cây ngô được tính là 0,68 đô la Mỹ\u002Fgallon nếu như đường trong sinh khối có thể được chuyển đổi với hiệu suất lý thuyết tối đa, và 1,47 đô la Mỹ\u002Fgallon nếu hiệu suất dựa trên hiệu suất đường hóa và lên men đã được báo cáo trước đó trong tài liệu khoa học. Chúng tôi đã thực hiện phân tích độ nhạy để nghiên cứu tác động của giá nguyên liệu cũng như thời gian lên men đến phần đóng góp của enzyme vào giá ethanol. Chúng tôi kết luận rằng một nỗ lực đáng kể vẫn cần thiết để giảm chi phí đóng góp của enzyme vào chi phí sản xuất nhiên liệu sinh học. Biotechnol. Bioeng. 2012; 109:1083–1087. © 2011 Wiley Periodicals, Inc.\u003C\u002Fjats:p>","\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:p>With the aim of understanding the contribution of enzymes to the cost of lignocellulosic biofuels, we constructed a techno‐economic model for the production of fungal cellulases. We found that the cost of producing enzymes was much higher than that commonly assumed in the literature. For example, the cost contribution of enzymes to ethanol produced by the conversion of corn stover was found to be $0.68\u002Fgal if the sugars in the biomass could be converted at maximum theoretical yields, and $1.47\u002Fgal if the yields were based on saccharification and fermentation yields that have been previously reported in the scientific literature. We performed a sensitivity analysis to study the effect of feedstock prices and fermentation times on the cost contribution of enzymes to ethanol price. We conclude that a significant effort is still required to lower the contribution of enzymes to biofuel production costs. Biotechnol. 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