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Declining growth phase

In a declining growth phase, the value of (j> decreases from unity to zero. When a constant growth phase is included, the value of in this phase is expressed as follows ... [Pg.244]

Declining growth A growth phase in which the availability of food begins to limit cell growth. [Pg.611]

A phase (d-e) for declining growth with a negative rate of acceleration for the growth... [Pg.28]

Perfume, like other chemical products, follows a life cycle composed of introduction, growth, maturity, and decline. To change the life cycle companies use different strategies to shift products in the maturity phase back or catapult new products forward into growth phase. For instance, a perfume in the maturity phase can be changed to a radically different category to shift the product to a growth phase. The search for the new niche is run by functional decisions. [Pg.470]

In a well mixed bioreactor a homogeneous suspension exists and typical growth kinetics an be observed as illustrated in Figure 5.17. Six phases can be distinguished the lag phase acceleration phase the exponential growth phase the deceleration phase the stationary phase and the phase at which death/decline occurs. [Pg.212]

The same effect of bacterial contaminations was observed with an electronic nose equipped with CP sensors in an antibiotic fermentation with Micro-monospora carbonacea [34]. Infections of E. coli and Gram-positive bacteria can be discriminated in the plot. The same culture also exhibited characteristic response patterns at the different fermentation stages over a nine-day period. The character of the trajectory in the PCA mirrored the growth phase, the antibiotic synthesis phase as well as the declination phase. The starting point of the trajectory almost coincided with the end point. [Pg.80]

Figure 5.19. Representation of the numerical Kono approach in a. c/t diagram of growth (a) and a kinetic plot versus x (b). In agreement with different well-known growth phases I-IV, (cf. Fig. 5.23, lag phase, I transition, II exponential. III and S-limitation decline phase, IV), and incorporating a linear growth phase in case of transport limitations (V in case B instead of exponential case A), numerical values can be taken from the plots to quantify the growth behavior with concentrations at certain times Xq — inoculum at Iq, — lag-time, = critical concentration at critical time... Figure 5.19. Representation of the numerical Kono approach in a. c/t diagram of growth (a) and a kinetic plot versus x (b). In agreement with different well-known growth phases I-IV, (cf. Fig. 5.23, lag phase, I transition, II exponential. III and S-limitation decline phase, IV), and incorporating a linear growth phase in case of transport limitations (V in case B instead of exponential case A), numerical values can be taken from the plots to quantify the growth behavior with concentrations at certain times Xq — inoculum at Iq, — lag-time, = critical concentration at critical time...
Figure 5.44. Schematic representation of the numerical Kono approach to microbial product formation expressed as the general formulas of the rates of growth and production rp, including different growth phases (1, induction 2, transient 3, exponential and 4, declining), according to Equ. 5.126 and Table 5.2. (Adapted from Kono and Asai, 1968a-c, 1969a-c) (a) both and kp2 have a positive value. The dotted lines take into account a linear growth phase, as shown in Fig. 5.19. (b) kp >0, kp2 = 0. (c) kpi = 0, kp2 > 0. (d) /cpi > 0, kp2 < 0. Figure 5.44. Schematic representation of the numerical Kono approach to microbial product formation expressed as the general formulas of the rates of growth and production rp, including different growth phases (1, induction 2, transient 3, exponential and 4, declining), according to Equ. 5.126 and Table 5.2. (Adapted from Kono and Asai, 1968a-c, 1969a-c) (a) both and kp2 have a positive value. The dotted lines take into account a linear growth phase, as shown in Fig. 5.19. (b) kp >0, kp2 = 0. (c) kpi = 0, kp2 > 0. (d) /cpi > 0, kp2 < 0.
A direct determination of the ATP content in P. shermanii at different growth phases (Gaitan and Vorobjeva, 1981) was carried out using the luciferin-luciferase method (Strehler and McElroy, 1957) with immobilized luciferase (Brovko et al., 1978). In cells growing on glucose the ATP level increased continuously up to 5 nmol per mg dry weight (Fig. 3.3). The ATP level dropped toward the end of the log-phase, but remained above 4 nmol/mg. The decrease was most prominent in the mid-log phase in the stationary phase the ATP level stabilized. The decline in ATP levels was accompanied by the accumulation of polyphosphates (Gaitan and Vorobjeva, 1981). [Pg.101]

The cycle starts with the product idea, the product test and finally the introduction into the market. In the beginning major costs accumulate due to the development of the product. When customers see the benefits of the product, the purchasing begins and the growth phase starts. Revenne starts to increase and profit increases to a positive level. The market reaches satnration in the maturity phase, which leads in the following to an intensified competition between prod-nets. The curve reaches the point of inflection and an overall decrease in profit and revenue starts to set in. In the decline phase profit decreases further and loss sets in here it becomes necessary to either take the product from the market or start relaunching the product through different performance features. Another possibility is the introduction of a new product onto the market. [Pg.37]

The function of linolenic acid in the body is probably related to the formation of DHA since tissue levels of linolenic acid are low. As mentioned earlier, DHA is abundant in the phospholipids of retina and brain. Also, DHA accumulates rapidly in human brain during the rapid growth phase prior to and after birth. Although a deficiency of o)-3 fatty acid leads to decreased DHA in retina and brain, as well as a decline in proper retinal and possibly cognitive function, no specific roles of DHA in tissues are known. However, several functional effects of DHA in membranes have been proposed, including effects on membrane fluidity and membrane-bound enzyme activities (Neuringer et aL, 1988). A rat brain membrane-bound enzyme has been shown to be dependent on dietary linolenic acid (Bernsohn and Spitz, 1974). [Pg.32]

The growth phase lasts for several days and raises the population to around 10 UFC/ml or more. Evidently, its duration also depends on the composition of the medium. The subsequent stationary phase also varies. The bacteria then begin the decline phase. As soon as the mahc acid is completely transformed, sulfiting is used to eliminate the bacteria as quickly as possible. [Pg.169]

Both methods give the same results for bacterial suspensions in the growth phase. When they move into the stationary, and then the decline phase, the difference between the results increases. While counting by epifluorescence shows a slight decrease in the number of cells, there is a sharp drop in the number of colonies visible. This difference may be explained by the fact that part of the population of fluorescent cells is still biologically active but is incapable of the metabolic and physiological functions necessary for multiplication. They are described as viable, non-cultivable (VNC) cells. Table 6.3 shows the lactic bacteria count after sulfiting a wine. [Pg.170]

Figure 9.2 The characteristic pattern of growth shown by a unicellular microalga in a culture of limited volume (1) lag phase, (2) exponential phase, (3) phase of declining growth, (4) stationary phase, and (5) death phase. (Adapted from Fogg, copyright 1965, by the Board of Regents of the University of Wisconsin System. Reprinted by permission of The University of Wisconsin Press.)... Figure 9.2 The characteristic pattern of growth shown by a unicellular microalga in a culture of limited volume (1) lag phase, (2) exponential phase, (3) phase of declining growth, (4) stationary phase, and (5) death phase. (Adapted from Fogg, copyright 1965, by the Board of Regents of the University of Wisconsin System. Reprinted by permission of The University of Wisconsin Press.)...
The death rate coefficient is usually relatively small unless inhibitoiy substances accumulate, so Eq. (24-10) shows an exponential rise until S becomes depleted to reduce [L. This explains the usual growth curve (Fig. 24-21) with its lag phase, logarithmic phase, resting phase, and declining phase as the effect of takes over. [Pg.2145]


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