2005
DOI: 10.1007/bf02932012
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Optimization and elucidation of interactions between ammonium, nitrate and phosphate inCentella asiatica cell culture using response surface methodology

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Cited by 14 publications
(7 citation statements)
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“…Asiaticoside which was detected highest at 4.26 mg g Although it is a significant factor for dry cell weight, sucrose did not affect TTPs production appreciably probably due to higher concentration range selected as the lower sucrose level (3%) had been reported to have all triterpenoids detected higher than 4 mg g −1 DW [12] . Figure 3 shows cells grown and harvested from maintenance medium (M) and growth medium (G).…”
Section: Resultsmentioning
confidence: 89%
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“…Asiaticoside which was detected highest at 4.26 mg g Although it is a significant factor for dry cell weight, sucrose did not affect TTPs production appreciably probably due to higher concentration range selected as the lower sucrose level (3%) had been reported to have all triterpenoids detected higher than 4 mg g −1 DW [12] . Figure 3 shows cells grown and harvested from maintenance medium (M) and growth medium (G).…”
Section: Resultsmentioning
confidence: 89%
“…Analytical procedure and statistical analysis: The determination of cell growth and triterpenoids analysis were as described before [12] .…”
Section: Maintenance Medium and Experimental Approachmentioning
confidence: 99%
“…Studies indicate that high NH 4 level in media has depressed calcium, potassium and magnesium uptake thereby restricting the nutrient flow into the tissues and lowers the biomass yield [24][25][26]. There is a need for a proper balance between the two nitrogen sources (NH 4 and NO 3 ) and neither of the two sources can replace each other in the media [6,27]. Prasad et al [6] reported that biomass production did not have much difference in media with total nitrogen content of 60, 40 and 20 mM.…”
Section: Total Nitrogen Concentrationmentioning
confidence: 99%
“…The response surface methodology, developed on the basis of statistically designed experiments, can provide insight into the interactions between dependent and independent variables, and can predict the optimal levels of variables. 26) The effects that can be attributed to the different factors and their interaction were assessed with maximum efficiency in a factorial design (Table 1). 27,28) The result of analysis of variance (ANOVA) showed that some of the factors examined significantly altered the stability of the bLf liquid formulation ( Table 3).…”
Section: Influence Of Additives On the Stability Of The Blf Liquid Fomentioning
confidence: 99%