2000
DOI: 10.1590/s0104-66322000000400043
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Phenomenological model of the clavulanic acid production process utilizing Streptomyces clavuligerus

Abstract: The kinetics of clavulanic acid production process by Streptomyces clavuligerus NRRL 3585 was studied. Experiments were carried out in a 4 liters bioreactor, utilizing 2 complex media containing glycerol as the carbon and energy source, and peptone or Samprosoy 90NB (soybean protein) as nitrogen source. Temperature was kept at 28°C and the dissolved oxygen was controlled automatically at 40 % saturation value. Samples were withdrawn for determination of cell mass (only peptone medium), glycerol and product con… Show more

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Cited by 10 publications
(9 citation statements)
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“…The production rate remained almost constant up to 60 h, ca 32 h after glycerol consumption had been completed. Also cell growth occurred in approximately 27 h. This fact indicates that production of clavulanic acid is not associated with microorganism growth, in agreement with the results obtained by Baptista Neto et al (2000).…”
Section: Resultssupporting
confidence: 91%
“…The production rate remained almost constant up to 60 h, ca 32 h after glycerol consumption had been completed. Also cell growth occurred in approximately 27 h. This fact indicates that production of clavulanic acid is not associated with microorganism growth, in agreement with the results obtained by Baptista Neto et al (2000).…”
Section: Resultssupporting
confidence: 91%
“…Kinetic parameters are essential not only to estimate the cost of a bioprocess but also to develop control strategies (Baptista-Neto et al 2000). In this way, some kinetic parameters, specifically BC productivity (P BC ) and yield of substrate on product (Y P/S ), were investigated, and the results are shown in Fig.…”
Section: Kinetic Studymentioning
confidence: 99%
“…This case study concerns the bioprocess described by Baptista-Neto et al (2000) for clavulanic acid production. Table 3 presents the experimental values of cultivation conditions and kinetic parameters estimated by the authors using a non-linear regression method (Marquardt algorithm) with 95% confidence level.…”
Section: Parameter Estimation Using Optimusferm (Case Study 1)mentioning
confidence: 99%
“…Fig. 5 shows a window with the experimental substrate, biomass, and product concentration data, as a function of time, as presented by Baptista-Neto et al (2000). In this example, only one experimental data set was used, but it is possible to input additional data sets.…”
Section: Cultivation Equationmentioning
confidence: 99%