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International Journal of
Advanced Science and Research
ARCHIVES
VOL. 2, ISSUE 5 (2017)
Thermodynamic modeling of biological growth
Authors
Dr. Sandeep Kumar Saxena, Dr. Yogendra Kumar Singh
Abstract
A few different approaches have been utilized as a part of an endeavor to characterize and dissect the thermodynamics modeling of biological growth in bioreactor culture. While thermodynamic theory has been created adequately to empower attractive forecast of biomass and catabolic-item yield, expectation of non-catabolic item yield and growth energy has demonstrated less successful. The growth rate of each organism eventually relies upon its intracellular concoction responses. Here we demonstrate that a thermodynamic model in light of a solitary, rate-restricting, enzymecatalysed response precisely depicts population growth of unicellular and multicellular living beings. All things considered these speak to every one of the three spaces of life, running from psychrophilic to hyperthermophiles, and including the highest temperature so far watched for growth (1220C). The outcomes give believable appraisals of thermodynamic properties of proteins and acquire, absolutely from life form natural growth rate information, connections between parameters previously recognized tentatively, therefore crossing over a hole between biochemistry and entire organism biology. We find that growth rates of both unicellular and multicellular living things can be depicted by the same temperature dependence model. The model results give solid help to a solitary exceedingly moderated response exhibit in the last universal common ancestor (LUCA). This is striking in that it implies that the growth rate reliance on temperature of unicellular and multicellular life shapes that developed over geological time ranges can be clarified by a similar model. Further research around there is required to develop models that would be valuable in process design and improvement.
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Pages:45-48
How to cite this article:
Dr. Sandeep Kumar Saxena, Dr. Yogendra Kumar Singh "Thermodynamic modeling of biological growth". International Journal of Advanced Science and Research, Vol 2, Issue 5, 2017, Pages 45-48
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