Abstract
A new method (named a “jumping spider”) is introduced for
the optimization of slow biotechnological processes. The more
traditional sequential experimentation (i.e., gradient search, simplex,
etc.) is not well suited for slow dynamic processes, e.g., plant cell
culture and differentiation. Therefore, a more simultaneous approach is
proposed. A large number of initial experiments are performed, on the
basis of which several of the initial experiments are selected as
starting points. A search is then performed simultaneously from several
gradient directions and the optimum is estimated by a quadratic
approximation. In simulations, the spider generally climbs up the slopes
quickly and the final estimator yields good maximum point estimates
even on a complex topography. The spider may even approach more than one
local maximum point simultaneously. As a model application, the average
xylitol conversion rate of Candida guilliermondii was optimized
in relation to cultivation volume (oxygen availability) and the
concentration of nitrogen and phosphorus in the medium. A threefold
increase in xylitol production was obtained with three experimental
steps.
| Original language | English |
|---|---|
| Pages (from-to) | 1301 - 1310 |
| Number of pages | 10 |
| Journal | Biotechnology and Bioengineering |
| Volume | 42 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 1993 |
| MoE publication type | A1 Journal article-refereed |
Fingerprint
Cite this
}
Multigradient method for optimization of slow biotechnological processes. / Tammisola, Jussi (Corresponding Author); Ojamo, Heikki; Kauppinen, Veli.
In: Biotechnology and Bioengineering, Vol. 42, No. 11, 1993, p. 1301 - 1310.Research output: Contribution to journal › Article › Scientific › peer-review
TY - JOUR
T1 - Multigradient method for optimization of slow biotechnological processes
AU - Tammisola, Jussi
AU - Ojamo, Heikki
AU - Kauppinen, Veli
N1 - Project code: -
PY - 1993
Y1 - 1993
N2 - A new method (named a “jumping spider”) is introduced for the optimization of slow biotechnological processes. The more traditional sequential experimentation (i.e., gradient search, simplex, etc.) is not well suited for slow dynamic processes, e.g., plant cell culture and differentiation. Therefore, a more simultaneous approach is proposed. A large number of initial experiments are performed, on the basis of which several of the initial experiments are selected as starting points. A search is then performed simultaneously from several gradient directions and the optimum is estimated by a quadratic approximation. In simulations, the spider generally climbs up the slopes quickly and the final estimator yields good maximum point estimates even on a complex topography. The spider may even approach more than one local maximum point simultaneously. As a model application, the average xylitol conversion rate of Candida guilliermondii was optimized in relation to cultivation volume (oxygen availability) and the concentration of nitrogen and phosphorus in the medium. A threefold increase in xylitol production was obtained with three experimental steps.
AB - A new method (named a “jumping spider”) is introduced for the optimization of slow biotechnological processes. The more traditional sequential experimentation (i.e., gradient search, simplex, etc.) is not well suited for slow dynamic processes, e.g., plant cell culture and differentiation. Therefore, a more simultaneous approach is proposed. A large number of initial experiments are performed, on the basis of which several of the initial experiments are selected as starting points. A search is then performed simultaneously from several gradient directions and the optimum is estimated by a quadratic approximation. In simulations, the spider generally climbs up the slopes quickly and the final estimator yields good maximum point estimates even on a complex topography. The spider may even approach more than one local maximum point simultaneously. As a model application, the average xylitol conversion rate of Candida guilliermondii was optimized in relation to cultivation volume (oxygen availability) and the concentration of nitrogen and phosphorus in the medium. A threefold increase in xylitol production was obtained with three experimental steps.
U2 - 10.1002/bit.260421107
DO - 10.1002/bit.260421107
M3 - Article
VL - 42
SP - 1301
EP - 1310
JO - Biotechnology and Bioengineering
JF - Biotechnology and Bioengineering
SN - 0006-3592
IS - 11
ER -