http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Omar Rozita,Abdullah M. A.,Hasan M. A.,Marziah M.,Mazlina M.K.Siti The Korean Society for Biotechnology and Bioengine 2005 Biotechnology and Bioprocess Engineering Vol.10 No.3
The effects of macronutrients $(NO_3^-,\; NH_4^+\;and\;PO_4^{3-})$ on cell growth and triterpenoids production in Centella asiatica cell suspension cultures were analyzed using the BoxBehnken response surface model experimental design. In screening and optimization experiments, $PO_4^{3-}$ as a single factor significantly influenced cell growth where increasing the phosphate level from 0.1 to 2.4 or 2.6 mM, elevated cell growth from 3.9 to $14\~16g/L$. The optimum values predicted from the response surface model are 5.05mM $NH_4^+$, 15.0mM $NO_3^-$ and 2.6mM $PO_4^{3-}$, yielding 16.0g/L cell dry weight with $99\%$ fitness to the experimental data. While the $NH_4^+-NO_3^-$ interaction influenced cell growth positively in the optimization experiment, $NH_4^+$ and $NO_3^-$ as single factors; and interactions of $NO_3^--PO_4^{3-},\;NH_4^+-PO_4^{3-}$ and $NH_4^+-NO_3^-$ were all negative in the screening experiment. Cell growth and the final pH level were positively affected by $PO_4^{3-}$, but negatively affected by $NH_4^+\;and\;NH_4^+-PO_4^{3-}$ interactions. The different effects of factors and their interactions on cell growth and final pH are influenced by a broad or narrow range of macronutrient concentrations. The productions of triterpenoids however were lower than 4mg/g cell dry weight.
Rozita Omar,M. A. Abdullah,M. A. Hasan,M. Marziah,M. K. Siti Mazlina 한국생물공학회 2005 Biotechnology and Bioprocess Engineering Vol.10 No.3
The effects of macronutrients (NO3, NH4+ and PO43) on cell growth and triterpenoids production in Centella asiatica cell suspension cultures were analyzed using the Box-Behnken response surface model experimental design. In screening and optimization experiments, PO43 as a single factor significantly influenced cell growth where increasing the phosphate level from 0.1 to 2.4 or 2.6 mM, elevated cell growth from 3.9 to 14~16 g/L. The optimum values predicted from the response surface model are 5.05 mM NH4+, 15.0 mM NO3 and 2.6 mM PO43, yielding 16.0 g/L cell dry weight with 99% fitness to the experimental data. While the NH4+-NO3 interaction influenced cell growth positively in the optimization experiment, NH4+ and NO3 as single factors; and interactions of NO3-PO43, NH4+-PO43 and NH4+-NO3 were all negative in the screening experiment. Cell growth and the final pH level were positively affected by PO43, but negatively affected by NH4+ and NH4+-PO43 interactions. The different effects of factors and their interactions on cell growth and final pH are influenced by a broad or narrow range of macronutrient concentrations. The productions of triterpenoids however were lower than 4 mg/g cell dry weight.
Kinetics and Modelling of Cell Growth and Substrate Uptake in Centella asiatica Cell Culture
Omar, Rozita,Abdullah, M.A.,Hasan, M.A.,Rosfarizan, M.,Marziah, M. The Korean Society for Biotechnology and Bioengine 2006 Biotechnology and Bioprocess Engineering Vol.11 No.3
In this study, we have conducted kinetics and modelling studies of Centella asiatica cell growth and substrate uptake, in an attempt to evaluate cell growth for a better understanding and control of the process. In our bioreactor cultivation experiment, we observed a growth rate of 0.18/day, a value only 20% higher than was seen in the shake flask cultivation trial. However, the observed maximum cell dry weight in the shake flask, 10.5g/L, was 14% higher than was achieved in the bioreactor. Ninety seven percentage confidence was achieved via the fitting of three unstructured growth models; the Monod, Logistic, and Gompertz equations, to the cell growth data. The Monod equation adequately described cell growth in both cultures. The specific growth rate, however, was not effectively predicted with the Logistic and Gompertz equations, which resulted in deviations of up to 73 and 393%, respectively. These deviations in the Logistic and Gompertz models may be attributable to the fact that these models were developed for substrate-independent growth and fungi growth, respectively.
Kinetics and Modelling of Cell Growth and Substrate Uptake in Centella asiatica Cell Culture
Rozita Omar,M. A. Abdullah,M. A. Hasan,M. Rosfarizan,M. Marziah 한국생물공학회 2006 Biotechnology and Bioprocess Engineering Vol.11 No.3
In this study, we have conducted kinetics and modelling studies of Centella asiatica cell growth and substrate uptake, in an attempt to evaluate cell growth for a better understanding and control of the process. In our bioreactor cultivation experiment, we observed a growth rate of 0.18/day, a value only 20% higher than was seen in the shake flask cultivation trial. However, the observed maximum cell dry weight in the shake flask, 10.5 g/L, was 14% higher than was achieved in the bioreactor. Ninety seven percentage confidence was achieved via the fitting of three unstructured growth models; the Monod, Logistic, and Gompertz equations, to the cell growth data. The Monod equation adequately described cell growth in both cultures. The specific growth rate, however, was not effectively predicted with the Logistic and Gompertz equations, which resulted in deviations of up to 73 and 393%, respectively. These deviations in the Logistic and Gompertz models may be attributable to the fact that these models were developed for substrate-independent growth and fungi growth, respectively.
Anthraquinones from Cell Suspension Culture of Morinda elliptica
Jasril, Jasril,Lajis, N.H.,Abdullah, M.A.,Ismail, N.H.,Ali, A.M.,Marziah, M.,Ariff, A.B.,Kitajima, M.,Takayama, H.,Aimi, N. The Korean Society of Pharmacognosy 2000 Natural Product Sciences Vol.6 No.1
The chemical investigation on the cell suspension culture of Morinda elliptica L. yielded eight anthraquinones, two of which, anthragallol-1,2-dimethyl ether (3) and purpurin-1-methyl ether (4), have not been isolated from the original plant. Other compounds isolated include nordamnacanthal (1), alizarin-1-methyl ether (2), rubiadin (5), soranjidiol (6), $lucidin-{\omega}-methyl$ ether (7), and morindone (8). The structures of anthraquinones were established based on spectral studies.