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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TL;DR: In this paper, the authors compared membrane-based cell recycle operation with other such high density cell culture systems as immobilized cell reactors and reactors with cell recycle by centrifugation or gravity sedimentation.
70 citations
TL;DR: All key analytes have been successfully modelled here, and the use of ATR-MIR in complex bioprocess fluids has been shown to be a viable method of near real-time monitoring, a considerable advance on previous studies using NIR in antibiotic processes.
70 citations
TL;DR: The one-pot bioethanol production was investigated for the conversion of biomass to biofuel by co-culture of two different microorganisms such as a hyper cellulase producer, Acremonium cellulolyticus C-1 and an ethanol producer Saccharomyces cerevisiae, demonstrating that the one-pots production is a reproducible process in a scale-up bioconversion of cellulose to ethanol.
Abstract: Background
While the ethanol production from biomass by consolidated bioprocess (CBP) is considered to be the most ideal process, simultaneous saccharification and fermentation (SSF) is the most appropriate strategy in practice. In this study, one-pot bioethanol production, including cellulase production, saccharification of cellulose, and ethanol production, was investigated for the conversion of biomass to biofuel by co-culture of two different microorganisms such as a hyper cellulase producer, Acremonium cellulolyticus C-1 and an ethanol producer Saccharomyces cerevisiae. Furthermore, the operational conditions of the one-pot process were evaluated for maximizing ethanol concentration from cellulose in a single reactor.
70 citations
TL;DR: By abolishing sequence homology between ColE1 RNA I/RNA II and tRNAs, this work was able to restore the plasmid's replication control mechanisms and to keep theplasmid copy number constant throughout the culture process, thereby prolonging metabolic activity and productivity of the bacterial expression system.
Abstract: The key objective for recombinant protein production in bacteria is the maximum exploitation of the cell factory's potential, whereby often strong expression vectors are used to increase product yield. If the metabolic load caused by recombinant expression exceeds the host's capacity, the system exhausts itself, resulting in a loss of protein yield. Excessive plasmid replication is observed after inducing recombinant gene expression, which greatly contributes to metabolic overload of the host cell. The transcriptional and translational machineries are extremely overstrained. By abolishing sequence homology between ColE1 RNA I/RNA II and tRNAs, we were able to restore the plasmid's replication control mechanisms and to keep the plasmid copy number constant throughout the culture process, thereby prolonging metabolic activity and productivity of the bacterial expression system. Because the bacterial host cell is not being exploited beyond its tolerable potential with this method, the constancy of the plasmid copy number level throughout the whole period of the bioprocess provides novel strategies for bioprocess optimization.
70 citations
TL;DR: Despite the complexity of the matrix, near-infrared spectra of the culture broth are shown to have valuable information that can be deconvoluted with the help of factor analysis techniques such as principal component analysis (PCA).
Abstract: Access to real-time process information is desirable for consistent and efficient operation of bioprocesses. Near-infrared spectroscopy (NIRS) is known to have potential for providing real-time information on the quantitative levels of important bioprocess variables. However, given the fact that a typical NIR spectrum encompasses information regarding almost all the constituents of the sample matrix, there are few case studies that have investigated the spectral details for applications in bioprocess quality assessment or qualitative bioprocess monitoring. Such information would be invaluable in providing operator-level assistance on the progress of a bioprocess in industrial-scale productions. We investigated this aspect and report the results of our investigation. Near-infrared spectral information derived from scanning unprocessed culture fluid (broth) samples from a complex antibiotic production process was assessed for a data set that incorporated bioprocess variations. Principal component analysis was applied to the spectral data and the loadings and scores of the principal components studied. Changes in the spectral information that corresponded to variations in the bioprocess could be deciphered. Despite the complexity of the matrix, near-infrared spectra of the culture broth are shown to have valuable information that can be deconvoluted with the help of factor analysis techniques such as principal component analysis (PCA). Although complex to interpret, the loadings and score plots are shown to offer potential in process diagnosis that could be of value in the rapid assessment of process quality, and in data assessment prior to quantitative model development.
69 citations