Production of phytase under solid-state fermentation using Rhizopus oryzae: Novel strain improvement approach and studies on purification and characterization

Rani, Richa; Ghosh, Sanjoy

doi:10.1016/j.biortech.2011.08.075

Cited by 56 publications

(35 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The maximum phytase activity was at pH 4.0, with broad pH stability from 2.0 to 7.0. Rani and Ghosh (2011), working with R. oryzae for phytase production by SSF, obtained a lower apparent optimum temperature (45°C) and dual pH optima at 1.5 and 5.5. Probably, the most important factor among all the physical variables affecting the production of enzymes and metabolites is the incubation temperature, given that enzymatic activities are sensitive to temperature (Krishna, 2005 …”

Section: Enzyme Characterizationmentioning

confidence: 99%

Optimization of phytase production by Aspergillus japonicus Saito URM 5633 using cassava bast as substrate in solid state fermentation

Moreira¹,

Herculano²,

Maciel³

et al. 2014

Afr. J. Microbiol. Res.

View full text Add to dashboard Cite

Production of phytase by Aspergillus japonicus URM 5633 was investigated by solid state fermentation (SSF) using cassava bast as substrate. The effects of temperature, pH and initial moisture on phytase production were studied using a full factorial design 2 3 . The maximum phytase activity was 174 U/g dry substrate. The optimum conditions for phytase production were pH 6.5 and 40% initial moisture at 26°C with 96 h of fermentation. A factorial design 2 2 was created to optimise phytase production, where the initial moisture and temperature were the variables studied. The parameters for phytase production were fixed at 30% initial moisture, 30°C and pH 5.5, and the maximum activity obtained was 183.1 U/g dry substrate. The effects of glucose concentration, nitrogen source type and nitrogen source concentration in phytase production was studied using the 2 3 factorial design. Nitrogen source concentration was significant for phytase activity and had a negative effect, indicating that smaller values increased enzyme activity. The optimum activity for phytase occurred at pH 3.6 and at an apparent optimum temperature of 60°C. Phytase was stable in the pH range of 2.4-3.0 at 30-70°C. The enzymatic activity increased significantly in the presence of FeSO 4 .

show abstract

Section: Enzyme Characterizationmentioning

confidence: 99%

Optimization of phytase production by Aspergillus japonicus Saito URM 5633 using cassava bast as substrate in solid state fermentation

Moreira¹,

Herculano²,

Maciel³

et al. 2014

Afr. J. Microbiol. Res.

View full text Add to dashboard Cite

show abstract

“…Reduction in phytic acid content was validated by reversed-phase high performance liquid chromatography (RP-HPLC) using Agilent 1200 series (Hewlett Packard, Palo Alto, CA, USA) liquid chromatograph equipped with a variable wavelength detector (VWD 1200) and Agilent XDB eclipse C18 (250 × 4.6 mm) column (Rani and Ghosh, 2011). Phytate (IP6) dissolved in the 100 mM sodium acetate buffer (pH 5.1) was used to calibrate the standard curve.…”

Section: Hplc Methodsmentioning

confidence: 99%

“…The solid residue is used as a protein supplement and contains more Total Digestible Nutrients (TDN, 72%) than wheat bran (64%). Combination of these two substrates, with final moisture content of about 40%, was suggested to be an economic alternative substrate for phytase production by solid-state fermentation (Rani and Ghosh, 2011). Linseed and its byproducts have also been practiced in the animal feed industry and as the nutraceutical food for human due to its unlimited potential in reducing the risk of several diseases (Omah and Mazza, 1998;Ridges et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Optimization of aqueous extraction process to enhance the production of phytase by Rhizopus oryzae using response surface methodology coupled with artificial neural network

Rani¹,

Kumar²,

Ghosh³

2014

Afr. J. Biotechnol.

View full text Add to dashboard Cite

Aqueous extraction process was optimized to reduce endotoxins from mixed substrate (1:1) for further phytase production by Rhizopus oryzae in solid state fermentation. 2 3 factorial design of experiment was combined with either a back-propagation artificial neural network (ANN) or the response surface methodology (RSM) for optimizing the process variables (length of extraction time, substrate loading and different pH of extraction solvent) to predict and simulate phytase production and phosphorus release. ANN was found to be a more powerful tool than RSM, for modeling and optimizing variables for the aqueous extraction process and can be used for predictive simulations of a process. A 2.37-fold increase in phytase production (37.65 U/gds) was achieved at the model predicted optimum concentration of extraction time of 29.78 min, substrate loading at 11.04 g and pH of extraction solvent at 7.1 as compared to the phytase yield in untreated substrate (15.91 U/gds). Moreover, the reduction in phytic acid after aqueous extraction of substrates was validated after high performance liquid chromatography (HPLC) characterization study. The results suggest that aqueous extraction process can be used efficiently for reducing the endogenous anti-nutritional factors from substrates eventually leading to enhanced phytase yield.

show abstract

“…This Process is generally done with automation. Both online and offline monitoring systems are attached for manufacturing quality product [11].…”

Section: Design Criteria For Bulk Productmentioning

confidence: 99%

“…When they reach the desired density (for batch and fed batch cultures) they are harvested and moved to the downstream section of the bioprocess [9,11].…”

Section: Upstream Processingmentioning

confidence: 99%

Integrated Application of Bioprocess Engineering and Biotechniques for Quality & Bulk Drug Manufacturing

Jena¹,

Mahalakshmi²,

G³

2011

JBB

View full text Add to dashboard Cite

One of the major challenges facing the pharmaceutical industry today is finding new ways to increase productivity, decrease costs whilst still ultimately developing new therapies that enhance human health. Both Biotechniques & Bioprocess engineering are integrated for bulk drug manufacturing of biopharmaceutical products to outcome the above problem. Different biotechnological processes are used in industries for large scale production of biological products for optimization of yield and the quality of end product. Various recent developments in biotechniques and its collaborated work with bioprocess engineering helps to maintain the quality in manufacturing process. However in this review article, we systemically describe all the techniques and different bioprocess used for manufacturing of drugs. To the author's knowledge this review represents the most exhaust description of different biotechniques, different bioprocess, process development and design criteria in bioprocess.

show abstract

Production of phytase under solid-state fermentation using Rhizopus oryzae: Novel strain improvement approach and studies on purification and characterization

Cited by 56 publications

References 32 publications

Optimization of phytase production by Aspergillus japonicus Saito URM 5633 using cassava bast as substrate in solid state fermentation

Optimization of phytase production by Aspergillus japonicus Saito URM 5633 using cassava bast as substrate in solid state fermentation

Optimization of aqueous extraction process to enhance the production of phytase by Rhizopus oryzae using response surface methodology coupled with artificial neural network

Integrated Application of Bioprocess Engineering and Biotechniques for Quality & Bulk Drug Manufacturing

Contact Info

Product

Resources

About