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H.S Chhatpar

Bio: H.S Chhatpar is an academic researcher from Maharaja Sayajirao University of Baroda. The author has contributed to research in topics: Plackett–Burman design & Yeast extract. The author has an hindex of 1, co-authored 1 publications receiving 77 citations.

Papers
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TL;DR: Using this statistical optimization method, the chitinase production was found to increase from 12 to 29 U/ml, and the nutritional medium requirement by Alcaligenes xylosoxydans IMI no. 385022 was optimized.

80 citations


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TL;DR: An attempt has been made to review the currently used media optimization techniques applied during fermentation process of metabolite production and provide the rationale for the selection of suitable optimization technique for media designing employed during the fermentation process.
Abstract: Optimization of production medium is required to maximize the metabolite yield. This can be achieved by using a wide range of techniques from classical "one-factor-at-a-time" to modern statistical and mathematical techniques, viz. artificial neural network (ANN), genetic algorithm (GA) etc. Every technique comes with its own advantages and disadvantages, and despite drawbacks some techniques are applied to obtain best results. Use of various optimization techniques in combination also provides the desirable results. In this article an attempt has been made to review the currently used media optimization techniques applied during fermentation process of metabolite production. Comparative analysis of the merits and demerits of various conventional as well as modern optimization techniques have been done and logical selection basis for the designing of fermentation medium has been given in the present review. Overall, this review will provide the rationale for the selection of suitable optimization technique for media designing employed during the fermentation process of metabolite production.

313 citations

Journal ArticleDOI
TL;DR: This review is focused on the progress of chitinase genes, chitinolytic microorganisms and their diversity as well as formulation of chitatelytic producers which have the potential to control fungal plant pathogens.
Abstract: Fungal plant diseases are one of the major concerns to agricultural food production world wide. Soil borne pathogenic fungi such as Pythium, Fusarium, Rhizoctonia and Phytopthora attack most of the economically important crop plants (either through seed root before germination or seedling after germination) resulting in loss of billions of dollars. Moreover, the management of chitinous waste is also pressing need today. Mycolytic enzymes (chitinases, proteases and glucanase) producing microorganisms may help in solving these problems. These microorganisms have ability to lyse the fungal cell wall and also have the potential to manage the chitinous waste by producing chitinases. Many chitinolytic microorganisms have potential to control fungal plant pathogens but they are not fully successful in all the cases due to different geological and environmental conditions. Thus, bioprospecting to find novel, highly chitinolytic microorganisms which help in developing potential biocontrol agent. Furthermore, to increase the survivability of biocontrol agents, a formulation may also be necessary. This review is focused on the progress of chitinase genes, chitinolytic microorganisms and their diversity as well as formulation of chitinolytic producers which have the potential to control fungal plant pathogens

234 citations

Journal ArticleDOI
TL;DR: The enzyme production was sustainable in flasks of higher volume and also airlift fermenter, and attained a peak within 32 h in the fermenter as compared to that of 48 h in shake flasks.

103 citations

Journal ArticleDOI
TL;DR: A mutant Fusarium maire K178 with high production of paclitaxel (taxol) was selected by protoplast mutation of UV radiation and diethyl sulfate and the yield of taxol increased from 20 to 225 after the strain improvement and optimization of the media.

89 citations

Journal ArticleDOI
Qiuli Wu1, Tao Chen1, Yu Gan1, Xun Chen1, Xueming Zhao1 
TL;DR: A sequential optimization strategy, based on statistical experimental designs, was used to enhance the production of riboflavin by recombinant Bacillus subtilis RH44, and the medium components were optimized in shake flask cultures.
Abstract: A sequential optimization strategy, based on statistical experimental designs, was used to enhance the production of riboflavin by recombinant Bacillus subtilis RH44. In the first instance, the medium components were optimized in shake flask cultures. After preliminary experiments of nitrogen source selection, the two-level Plackett–Burman (PB) design was implemented to screen medium components that significantly influence riboflavin production. Among the 15 variables tested, glucose, NaNO3, K2HPO4, ZnSO4, and MnCl2 were identified as the most significant factors (confidence levels above 95%) for riboflavin production. The optimal values of these five variables were determined by response surface methodology (RSM) based on the central composite design (CCD). The validity of the model developed was verified, and the optimum medium led to a maximum riboflavin concentration of 6.65 g/l, which was 44.3 and 76.4% higher than the improved medium and the basal medium, respectively. A glucose-limited fed-batch culture profile in a 5-l fermentor was consequently designed according to the above optimum medium in shake flasks. A final riboflavin concentration of 16.36 g/l was obtained in 48 h, which further verified the practicability of this optimum strategy.

74 citations