Application of Response Surface Methodology in Process Parameter Optimization of Media for Production of Amylase

Subbaiya, R.; Sharma, Priyanka; Suresh, D.; Selvam, M. Masilamani; Balachandar, Ramalingam; Chozhavendhan, S.

doi:10.5958/0974-360x.2018.00961.7

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An immense piece of those mixes are blended misleadingly and possibly cause regular and toxicology issues because of the unmanageable and suffering nature of those substances [31][32][33][34][35] . With current advances in biotechnology, thought has been paid to the decision of normal great cycles for making various kinds of biosurfactants from microorganisms [35][36][37][38][39][40] . Lipoprotein and lipopeptides are produced by yeast, fungi and bacteria but most of the surfactants are produced from bacteria [25][26][27][28][29][30][31] .…”

Section: Introductionmentioning

confidence: 99%

Statistical Approach to Optimize Production of Biosurfactant by Achromobacter Xylos

Golamari¹,

Kadiyala²,

Devi³

et al. 2022

Int J Life Sci Pharm Res

View full text Add to dashboard Cite

This study aimed to optimize medium composition biosurfactant production of achromobacter xylos using response surface quadratic model . Lipoprotein and lipopeptides are used in many industries such as petroleum refining, pharmaceutical, mining, agriculture and bioprocess industries. The point of this assessment was to pull out and portray the biosurfactant passing on restriction of microorganisms from oil corrupted soil and considering their advancement energy at various temperatures and pH. The separation and growth study was directed in MSM medium using lamp fuel oil as sole carbon hotspot for bacterial turn of events. Confined strains were found to be Gram positive bacillus and in general Gram's positive minuscule life forms can convey lipopeptides type biosurfactants. The ideal conditions for achromobacteria xylos growth were discovered to be at pH seven (7) and temperature 30oC. Central composite design (CCD) was utilized to pick the following medium components (MgSO4, NaNO3, CaCl2, (NH4)2SO4, FeSO4, and KH2PO4). Central composite arrangement (CCD) of RSM was utilized to analyze the four parts at five stages, and biosurfactant fixation was evaluated as reaction. Backslide coefficients were directed by backslide examination, and the quadratic model condition was settled. R2 an impetus for bio-surfactant was endeavored to be 0.7527, showing that the quadratic model was basic with the exploratory outcomes. Confirmation of the numerical model was driven by playing out the assessment with the normal overhauled values, and bio-surfactant production was found to be 10.53 g/L. Underwriting of the normal quadratic model was 97.3% exact with the test results facilitated under the ideal conditions. CaCl2, (NH4)2SO4, FeSO4, and KH2PO4 were perceived as successful portions for bio-surfactant delivering 98% of achromobacter xylos microorganism.

show abstract

Section: Introductionmentioning

confidence: 99%

Statistical Approach to Optimize Production of Biosurfactant by Achromobacter Xylos

Golamari¹,

Kadiyala²,

Devi³

et al. 2022

Int J Life Sci Pharm Res

View full text Add to dashboard Cite

show abstract

Statistical Optimization of mineral salt medium components for Achromobacter xylos GSR21 production using Central Composite Design (CCD)

Reddy

Adhikari

Siddiqui

et al. 2021

RJPT

View full text Add to dashboard Cite

Background: Achromobacter xylos strain GSR21 plays a crucial role in bioremediation of fossil fuel contamination, biopharmaceutical, cosmetics, chemical, petroleum refining, petrochemical, food industries and tertiary oil recovery (MEOR). Aim: within the present paper, to reinforce the censorious medium constituents for the assembly of Achromobacter xylos strain GSR21 by using response surface quadratic models (RSQM). Materials and methods: Response surface method (RSM) was utilized to make your mind up the best degrees of cycle factors (agar powder, yeast concentrate, FeSO4.7H2O, and KH2PO4). CCD design of RSM was utilized to contemplate the four factors at five levels, and Achromobacter xylos strain GSR21 fixation was estimated as reaction. Results: Relapse coefficients were dictated by relapse examination, and therefore the model condition was settled. R2 regard for bio-surfactant (g/L) was attempted to be 0.88, showing that the model fitted well with the exploratory results. Affirmation of the mathematical model was driven by playing out the examination with the foreseen updated values, and bio-surfactant yield was found to be 9.88 g/L. Endorsement of the foreseen model was fitted 98.8% with the test outcomes coordinated under the perfect conditions. Conclusion: In light of the above outcomes agar powder and yeast separate was perceived as compelling fragments for Achromobacter xylos GSR21 creation.

show abstract

Application of Response Surface Methodology in Process Parameter Optimization of Media for Production of Amylase

Cited by 2 publications

References 0 publications

Statistical Approach to Optimize Production of Biosurfactant by Achromobacter Xylos

Statistical Approach to Optimize Production of Biosurfactant by Achromobacter Xylos

Statistical Optimization of mineral salt medium components for Achromobacter xylos GSR21 production using Central Composite Design (CCD)

Contact Info

Product

Resources

About