Optimization of the medium composition for production of mycelial biomass and exo-polymer by Grifola frondosa GF9801 using response surface methodology

Enhancement ofin vitroandin vivoanticancer activities of polysaccharide peptide fromGrifola frondosaby chemical modifications

“…In addition, it can be used to evaluate the efficacy of cancer therapies (Tewarson et al, 1993). The beneficial effect of polysaccharide-proteins may be attributed to its immunomodulatory effect (Jiménez-Medina et al, 2008) and cytotoxic effect (Cui et al, 2006(Cui et al, , 2007a(Cui et al, , 2007b. Our study demonstrated for the first time that all chemical modification procedures used hereby could further enhance the anticancer effect of CPA when compared with the original form of MPSP.…”

“…*p < 0.05, **p < 0.01, and ***p < 0.001 represent significant differences when comparing with its corresponding concentration in the normal brain cells. has demonstrated positive results in the adjuvant treatment of colorectal, gastric, lung, breast, and esophageal cancers (Cui et al, 2006;Zhang et al, 2007). Our in vivo study, therefore, mainly explored the adjuvant effects of various forms of polysaccharide-proteins with maitake origin.…”

Optimized astaxanthin production in Chlorella zofingiensis under dark condition by response surface methodology

“…The kinetics of cell growth and astaxanthin accumulation of C. zofingiensis had been investigated and the results indicated that glucose and nitrate were the major nutrients affecting astaxanthin formation (14,15). These studies, however, employed the 'one-factor-at-a-time' technique, which is time-consuming and incapable of finding the optimal conditions, especially when interactions between independent factors existed (16). To overcome the shortcoming of the 'one-factor-at-atime' technique, the holistic approach of the response surface methodology (RSM) could be employed (17)(18)(19).…”

Screening of Factors Influencing Exopolymer Production by Bacillus licheniformis Strain T221a Using 2-Level Factorial Design

“…Recently, the results analyzed by a statistical planned experiment are better acknowledged than those carried out by the traditional one-variable-at-a-time method. Statistical experimental designs have been used for many decades and can be adopted on several steps of an optimization strategy, such as for screening experiments or searching for the optimal conditions of a targeted response (Duta et al, 2006;Cui et al, 2006;Lungmann et al, 2007;Reddy et al, 1999;Casas et al, 1997). The 2-level factorial design can be considered to be a multivariable sequential search technique in which the effects of two or three factors are studied together and the responses are analyzed statistically to arrive at a decision (Tunga et al, 1998, Duta et al, 2006Anbu et al, 2006).…”