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Topic

Bioprocess

About: Bioprocess is a research topic. Over the lifetime, 2219 publications have been published within this topic receiving 50972 citations.


Papers
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01 Oct 2004
TL;DR: A review of the state-of-the-art on vermicomposting is presented in this paper, including the gist of the studies conducted by the authors, including the impact of vermicast on plant growth.
Abstract: A review is presented summarizing the global state-of-the-art, including the gist of the studies conducted by the authors, on vermicomposting. Studies on the impact of vermicast on plant growth are also reviewed. The paper brings out the suitability or otherwise of different species of earthworms to ‘bioprocess’ different types of organic waste. The paper also presents the gist of the studies–which are surprisingly few and far between–on the impact on plant growth of vermicasts produced in reactors fed with aquatic weeds or agrowaste.

88 citations

Journal ArticleDOI
TL;DR: While engineering of new biofuels pathways into microbial hosts has received considerable attention, innovations in bioprocessing are required for commercialization of both conventional and next-generation fuels.

88 citations

Journal ArticleDOI
TL;DR: The proposed combination bioprocess could effectively accelerate the hydrolysis rate, improve raw material utilization and enhance hydrogen yield.

87 citations

Journal ArticleDOI
TL;DR: This review summarized and commented in the view of bioprocess and bioengineering, especially on bioconversion of glycerol into 1,3-PD since 2010, and the novel technology of microbial electrosynthesis for biochemicals was well introduced and discussed.

87 citations

Journal ArticleDOI
TL;DR: A novel bioreactor optimal control method that uses detailed information concerning the metabolism of the underlying biological system and allows the identification of structural modifications in metabolism over batch time is presented.
Abstract: The progress in the "-omic" sciences has allowed a deeper knowledge on many biological systems with industrial interest. This knowledge is still rarely used for advanced bioprocess monitoring and control at the bioreactor level. In this work, a bioprocess control method is presented, which is designed on the basis of the metabolic network of the organism under consideration. The bioprocess dynamics are formulated using hybrid rigorous/data driven systems and its inherent structure is defined by the metabolism elementary modes. The metabolic network of the system under study is decomposed into elementary modes (EMs), which are the simplest paths able to operate coherently in steady-state. A reduced reaction mechanism in the form of simplified reactions connecting substrates with end-products is obtained. A dynamical hybrid system integrating material balance equations, EMs reactions stoichiometry and kinetics was formulated. EMs kinetics were defined as the product of two terms: a mechanistic/empirical known term and an unknown term that must be identified from data, in a process optimisation perspective. This approach allows the quantification of fluxes carried by individual elementary modes which is of great help to identify dominant pathways as a function of environmental conditions. The methodology was employed to analyse experimental data of recombinant Baby Hamster Kidney (BHK-21A) cultures producing a recombinant fusion glycoprotein. The identified EMs kinetics demonstrated typical glucose and glutamine metabolic responses during cell growth and IgG1-IL2 synthesis. Finally, an online optimisation study was conducted in which the optimal feeding strategies of glucose and glutamine were calculated after re-estimation of model parameters at each sampling time. An improvement in the final product concentration was obtained as a result of this online optimisation. The main contribution of this work is a novel bioreactor optimal control method that uses detailed information concerning the metabolism of the underlying biological system. Moreover, the method allows the identification of structural modifications in metabolism over batch time.

87 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023331
2022785
2021165
2020153
2019159
2018127