2002
DOI: 10.1002/chin.200225269
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ChemInform Abstract: Analysis of Growth Kinetic Profiles in Solid‐State Fermentation

Abstract: ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.

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Cited by 23 publications
(30 citation statements)
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“…The results of matching experimental data with the model are presented in the Table 2 and Figure 1 below. From the above kinetic models closest to the experimental data is the deceleration model where each point in the deceleration model coincides with the experimental data, it can also be seen from the smallest sum of square of residuals (SSR) value of 0.0008, so the deceleration model is best suited to describe the biomass growth model of fermented rice bran [32][33][34]. The kinetic parameters obtained are k (biomass growth rate constant) of 0.0536/h and the pre-exponential factor of 5.2537.…”
Section: Resultsmentioning
confidence: 80%
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“…The results of matching experimental data with the model are presented in the Table 2 and Figure 1 below. From the above kinetic models closest to the experimental data is the deceleration model where each point in the deceleration model coincides with the experimental data, it can also be seen from the smallest sum of square of residuals (SSR) value of 0.0008, so the deceleration model is best suited to describe the biomass growth model of fermented rice bran [32][33][34]. The kinetic parameters obtained are k (biomass growth rate constant) of 0.0536/h and the pre-exponential factor of 5.2537.…”
Section: Resultsmentioning
confidence: 80%
“…The kinetic parameter obtained is k (biomass growth rate constant) of 0.044/h. [33,48,49]. The deceleration model on the growth of biomass is used to integrate the product formation equation, so that the following equation is obtained at equation The data of experimental results with the model coincide and has a significant proximity between points that the model is acceptable.…”
Section: Resultsmentioning
confidence: 99%
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