Abstract
BackgroundBryophytes, comprising of the second largest group in the plant kingdom, has attracted a great deal of attention in recent years due to its immense potential to produce biopharmaceuticals. But studies conducted to better understand their chemical composition are limited and scattered. In the present investigation, sequential optimization strategy, based on statistical experimental designs, was employed to enhance the production of α-glucosidase enzyme from moss Hyophilla nymaniana (Fleish.) Menzel by using Taguchi methodology. L16 orthogonal array and five physical parameters including sugar, temperature, pH, rpm, nitrogen source were considered as key parameters for enzyme production. The optimal level of each parameter for maximum glucosidase production by the moss was determined. Analysis of variance (ANOVA) was performed to evaluate statistically significant process factors. ResultsBased on statistical analysis (ANOVA), the optimal combinations of the major constituents of media for maximal α-glucosidase production were evaluated as follows: dextrose 2% contributed maximum on α-glucosidase production followed by ammonium nitrate 1.5%, temperature 24 °C, pH 5.6, and RPM 120. Predicted results showed an enhanced glucosidase (53%) than the basal production medium. ConclusionThe present study highlighted that Taguchi design of experiments approach is better than the conventional optimization technique to determine the optimum level of each of the significant parameters that brings maximum enzyme production.
Highlights
Bryophytes, comprising of the second largest group in the plant kingdom, has attracted a great deal of attention in recent years due to its immense potential to produce biopharmaceuticals
We report for the first time sequential optimization strategy for α-glucosidase production Taguchi design of experiments
The first approach deals with the determination of the optimum incubation period, by one-variable-at-a-time method
Summary
The optimizations of various process parameters for αglucosidase production by sequential optimization approaches were attempted and were applied in the present part of the study. The incubation period for 28 days was the most favorable for maximum glucosidase production where the activity increased about 1.2-fold compared to that at 7-day-old culture (Fig. 1). Evaluation of the process parameters affecting glucosidase productivity Sixteen different trial conditions were used for the analysis of suspension culture parameters and identifying optimum levels of proposed factors (Fig. 2). Each factor influenced the enzyme activity at a certain level This significant factor gives maximum yield when these factors act collectively, which may be due to the interactive effect of different factors. Comparing with 8.1 U/mL, produced before, a further increase of about 1.5fold was achieved after optimization of the culture parameters through Taguchi DOE method (Fig. 4) This reflects the necessity and value of optimization process. Number of studies reports the optimization of process parameters for the production of enzyme from different sources [25,26,27] but to our knowledge, no investigation has been reported to describe the sequential optimization process of the various factors for the enzymes production from the moss H. nymaniana
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