Library

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Bioprocess and biosystems engineering 12 (1995), S. 231-238 
    ISSN: 1432-0797
    Source: Springer Online Journal Archives 1860-2000
    Topics: Process Engineering, Biotechnology, Nutrition Technology
    Notes: Abstract A mixing model is coupled with fermentation kinetics in order to simulate a fermentation as a function of mixing conditions and scale-up. The mixing model for a batch stirred tank with three stirrers consists of three regions, each of them characterized by an ideally mixed compartment around the stirrer and two macromixers, i.e. cascades of tank-in-series, describing the recirculation flow. The model contains four parameters — radial and axial circulation time, volume of the ideally mixed stirrer compartment and the number of tanks in each cascade. These values, determined by Mayr et al. in function of the operational conditions and scale-up, were choosen to simulate the fermentation of glutamic acid to show the pH-fluctuation at different control and scale conditions. By choosing optimal regulation properties, such as input flow rate and/or concentration of the base, regulation span, position of the pH-electrode and base input location, etc., fluctuations of the pH-value in the bio-reactor can be minimized. However, the negative effect of insufficient mixing conditions can be reduced only by an increasing number of the base input places. In large scale fermentors, the axial circulation time is rather high, about 5–10 times larger than the radial one. This might result in a large amplitude of the pH-fluctuation. As it is shown, using an input place for base in each stirrer region, the negative impact of the insufficient axial mixing on the fermentation can be diminished perfectly. In this case ammonia should be fed into the reactor as an aqueous solution.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    Electronic Resource
    Electronic Resource
    Springer
    European journal of clinical pharmacology 46 (1994), S. 537-543 
    ISSN: 1432-1041
    Keywords: Lisinopril ; Dose adjustment ; ACE inhibitors ; pharmacokinetics ; pharmacodynamics ; renal failure
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology , Medicine
    Notes: Abstract To prevent drug accumulation and adverse effects the dose of hydrophilic angiotensin-converting enzyme (ACE) inhibitors, e. g. lisinopril, must be reduced in patients with renal failure. To obtain a rational basis for dose recommendations, we undertook a prospective clinical trial. After 15 days of lisinopril treatment pharmacokinetic and pharmacodynamic parameters were determined in patients with advanced renal failure (n=8; endogenous creatinine clearance [CLCR]: 18 ml·min−1·1.73m−2) and in healthy subjects with normal renal function (n=16; CLCR: 107 ml·min−1·1.73m−2). The volunteers received 10 mg lisinopril once daily, the daily dose in patients (1.1–2.2 mg) was adjusted to the individual CLCR according to the method of Dettli [13]. After 15 days of lisinopril treatment the mean maximal serum concentration (C max) in patients was lower than in volunteers (30.7 vs 40.7 ng·ml−1, while the mean area under the concentration-time curve (AUC 0–24 h) was higher (525 vs 473 ng·h−1·ml−1). ACE activity on day 15 was almost completely inhibited in both groups. Plasma renin activity, angiotensin I and angiotensin II levels documented marked inhibition of converting enzyme in volunteers and patients. Furthermore, average mean arterial blood pressure in patients decreased by 5 mmHg and proteinuria from 3.9–2.7 g per 24 h after 15 days of treatment with the reduced dose of lisinopril. Adjustment of the dose of lisinopril prevents significant accumulation of the drug in patients with advanced renal failure during chronic therapy. Mean serum levels did not exceed this in subjects with normal renal function receiving a standard dose. Despite substantial dose reduction, blood pressure and proteinuria decreases were observed.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Bioprocess engineering 12 (1995), S. 231-238 
    ISSN: 0178-515X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Process Engineering, Biotechnology, Nutrition Technology
    Notes: Abstract  A mixing model is coupled with fermentation kinetics in order to simulate a fermentation as a function of mixing conditions and scale-up. The mixing model for a batch stirred tank with three stirrers consists of three regions, each of them characterized by an ideally mixed compartment around the stirrer and two macromixers, i.e. cascades of tank-in-series, describing the recirculation flow. The model contains four parameters – radial and axial circulation time, volume of the ideally mixed stirrer compartment and the number of tanks in each cascade. These values, determined by Mayr et al. in function of the operational conditions and scale-up, were choosen to simulate the fermentation of glutamic acid to show the pH-fluctuation at different control and scale conditions. By choosing optimal regulation properties, such as input flow rate and/or concentration of the base, regulation span, position of the pH-electrode and base input location, etc., fluctuations of the pH-value in the bio-reactor can be minimized. However, the negative effect of insufficient mixing conditions can be reduced only by an increasing number of the base input places. In large scale fermentors, the axial circulation time is rather high, about 5–10 times larger than the radial one. This might result in a large amplitude of the pH-fluctuation. As it is shown, using an input place for base in each stirrer region, the negative impact of the insufficient axial mixing on the fermentation can be diminished perfectly. In this case ammonia should be fed into the reactor as an aqueous solution. Nomenclature F m3/s liquid flow rate F G m3/s separate gas flow rate F Gax, FGrad m3/s gas flow rate joint with liquid F NH3 mol/s input rate of ammonia as a solution H Pa m3/mol Henry constant k m3/kgs reaction rate constant in Eq. 3 k La 1/s product of mass transfer coefficient and area K kg/m3 Monod constant in Eq. 1, (for oxygen: mol/m3) K P kg/m3 product inhibition constant in Eq. 1 m kg/(m3s) maintenance coefficient M –Mth loop in the physical mixing model (M=1−6) n– number of ideally mixed cascades in a recirculation loop N–Nth element in a loop with the stirrer compartment (N=1−(n+1)) NH3 mol/m3 concentration of ammonia, in liquid – mol/mol in the gas phase O mol/m3 concentration of oxygen, in liquid – mol/mol in the gas phase p Pa pressure P kg/m3 product concentration r kg/(m3s) reaction rate R Pa m3/(mol K) universal gas constant S kg/m3 substrate concentration t s time V m3 liquid volume of reactor V tot m3 volume of liquid+gas phase in reactor V m m3 liquid volume of ideally mixed stirrer compartment V M,N m3 liquid volume of Mth and Nth cascade element V G,M,N m3 gas volume of the Mth and Nth cascade element Y kg/kg yield coefficient, e.g. Ysx yield coeff. of biomass from substrate Greek symbols μ 1/s specific growth rate μmax 1/s maximum value of the growth rate ɛ– gas hold-up in the reactor Subscripts ax axial direction G gas phase in inlet L liquid M Mth loop N Nth element in a loop including the stirrer compartment as well O oxygen P product rad radial
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...