scholarly journals OPTIMASI PERMUKAAN RESPON MEDIUM FERMENTASI Streptomyces prasinopilosus SEBAGAI ANTIFUNGI TERHADAP PATOGEN Ganoderma boninense

2019 ◽  
Vol 6 (2) ◽  
pp. 164
Author(s):  
Rofiq Sunaryanto ◽  
Diana Nurani
Keyword(s):  
Central Composite Design ◽  
Yeast Extract ◽  
Active Compound ◽  
Carbon Sources ◽  
Pathogenic Fungi ◽  
Medium Composition ◽  
Quadratic Model ◽  
Active Compounds ◽  
Area Unit ◽  
Central Composite

Response Surface Optimization of Medium Fermentation for Streptomyces prasinopilosus as An Antifungal against Ganoderma boninenseGanoderma boninense is one of the pathogenic fungi that cause basal stem rot (BPB) on oil palm plants. This research aims to study the effect of carbon sources, nitrogen sources, and minerals on the production of Streptomyces prasinopilosus active compounds. Lactose, yeast extract, and minerals are medium components that show a real influence on the production of S. prasinopilosus active compounds. Optimization of the factors that have significant influence was predicted by the second-order model, statistically through a central composite design (CCD). The highest S. prasinopilosus active compound production, with a medium composition of 44.77 g L-1 lactose, 13.02 g L-1 yeast extract, and 15.95 mL L-1 mineral solution, was predicted by the quadratic model to reach 32269366.338 peak area unit on high-performance liquid chromatography (HPLC). The verification of the mathematical model of the production of the active compounds through experiments in the laboratory was 27,203,907.310 peak area unit. This result was 15.7% lower compared to the result of the quadratic model. Optimization increased S. prasinopilosus active compound 9-fold compared to that before optimization.Keywords: active compound; G. boninense; optimization; RSM; S. prasinopilosus ABSTRAKGanoderma boninense merupakan salah satu jamur patogen yang menyebabkan penyakit busuk pangkal batang atau biasa disebut BPB pada tanaman kelapa sawit. Penelitian bertujuan mempelajari pengaruh sumber karbon, sumber nitrogen, dan mineral terhadap produksi senyawa aktif S. prasinopilosus. Laktosa, yeast extract, dan mineral adalah komponen medium yang menunjukkan pengaruh nyata terhadap produksi senyawa aktif S. prasinopilosus. Optimasi terhadap faktor yang berpengaruh nyata diprediksi dengan model orde dua melalui rancangan statistis central composite design (CCD). Produksi senyawa aktif S. prasinopilosus tertinggi diprediksi oleh model kuadratik mencapai 32269366,338 luasan puncak kromatografi cair kinerja tinggi (KCKT) dengan komposisi medium laktosa 44,77 g L-1, yeast extract 13,02 g L-1, dan larutan mineral 15,95 mL L-1. Verifikasi model matematis produksi senyawa aktif yang dihasilkan melalui percobaan di laboratorium adalah sebesar 27.203.907,310 luasan puncak kromatogram KCKT. Hasil ini lebih rendah 15,7% dibandingkan dengan model kuadratik hasil optimasi. Optimasi meningkatkan senyawa aktif S. prasinopilosus 9 kali lipat dibandingkan sebelum optimasi.

scholarly journals Optimization of Penicillium Lagena Medium Cultivication on Antifungal Pathogen of Phellinus Lamaoensis Using Surface Methode

Teknik ◽  
2018 ◽  
Vol 38 (2) ◽  
pp. 58
Author(s):  
Siti Nabilah ◽  
Rofiq Sunaryanto ◽  
Khaswar Syamsu
Keyword(s):  
Yeast Extract ◽  
Active Compound ◽  
Statistical Design ◽  
Medium Composition ◽  
Quadratic Model ◽  
Ageratum Conyzoides ◽  
Medium Components ◽  
Mineral Solution ◽  
Solution Verification ◽  
Rot Disease

Phellinus lamaoensis (Murr.) Hein is fungal pathogen that can cause brown root rot disease in cocoa, tea, rubber, and coffee plants. Endophytic fungi, Penicillium lagena, isolated from bandotan (Ageratum conyzoides Linn.), medicinal plant, is able to inhibit the growth of pathogenic, P. lamaoensis. The effect of carbon source, nitrogen source, and mineral solution was studied. Lactose, yeast extract, and mineral solution were media components which showed significant effect toward production of P. lagena active compound. Composition optimization of these three medium components was done by response surface methodology (RSM). The Optimal response region of the significant factor was predicted by using a second order polynomial model with statistical design, central composite design (CCD). Higest production of P. lagena active compound by quadratic model was predicted to be 69.233%  with medium composition 44.77 g L-1 lactose, 13.02 g L-1 yeast extract, and 15.95 mL L-1 mineral solution. Verification value in laboratory is 58.365%, lower 15.7% than its prediction. Optimization increase P. lagena active compound 9 fold compared to unoptimize media.

scholarly journals Biosorption of phenol by modified dead leaves of Posidonia oceanica immobilized in calcium alginate beads: Optimal experimental parameters using central composite design

Water SA ◽  
2020 ◽  
Vol 46 (2 April) ◽  
Author(s):  
Wassila Lazli ◽  
Amina Hellal
Keyword(s):  
Central Composite Design ◽  
Calcium Alginate ◽  
Posidonia Oceanica ◽  
Alginate Beads ◽  
Phenol Concentration ◽  
Quadratic Model ◽  
Biosorption Capacity ◽  
Calcium Alginate Beads ◽  
Initial Phenol Concentration ◽  
Central Composite

This study reports the biosorption of phenol using dead leaves of Posidonia oceanica (PO), an endemic seagrass in the Mediterranean Sea. The PO dead leaves were pre-treated with sulfuric acid and carbonized at 500°C for 2 h to increase their adsorptive capacity. Leaves were then immobilized in calcium alginate beads to address problems that arise when free particulate biosorbents are used. Response surface methodology (RSM) based on central composite design (CCD) was carried out to optimize key variables, viz., initial phenol concentration (100–500 mg/L), biosorbent dosage (0.05–0.1 g/50 mL), and alginate beads to solution ratio (1/10–2/10). The effect of the operating variables on phenol biosorption capacity was studied in a batch system and a mathematical model showing the influence of each variable and their interactions was obtained. The predicted second-order quadratic model for the response variable was significant (p < 0.01). Further, an adjusted squared correlation coefficient, R2 (adj) of 97.7% indicated a satisfactory fit of the model. The results of CCD showed maximum biosorption capacity of about 127 mg/g at 500 mg/L initial phenol concentration, 1 g/L biosorbent dosage, and at 1.85/10 composite beads to solution ratio. This work demonstrates the suitability of using PO dead leaves as an effective low-cost biosorbent for the removal of phenol.  

scholarly journals A Central Composite Design Approach to Minimize HAZ of TIG Weldments

2019 ◽  
Vol 4 (9) ◽  
pp. 149-152
Author(s):  
Andrew Ozigagun ◽  
Raphael Biu
Keyword(s):  
Central Composite Design ◽  
Heat Affected Zone ◽  
Optimization Technique ◽  
Steel Plates ◽  
Quadratic Model ◽  
P Value ◽  
Design Matrix ◽  
Response Optimization ◽  
Central Composite

Welding is a multi-input multi-output fabrication process, which requires a multi-response optimization technique. In this present work, the effect of heat affected zone and percentage dilution on the quality of Tungsten Inert Gas welded joints was investigated using mild steel plates. The Central Composite Design matrix was adopted to perform the welding experiment and collect the data, thereafter Response Surface Methodology (RSM) models was employed to minimize heat affected zone and percentage dilution with very significant statistical results. The result shows that the quadratic model was the most suitable for the HAZ data and the percentage dilution data with a P-value < 0.05 and R2 value of 88% and 90% for the HAZ and percentage dilution respectively.

scholarly journals Mathematical Modelling and Optimisation of Low-Temperature Drying on Quality Aspects of Rough Rice

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Shakeel Ahmed Soomro ◽  
Kunjie Chen ◽  
Sohail Ahmed Soomro
Keyword(s):  
Low Temperature ◽  
Central Composite Design ◽  
Cooking Time ◽  
Quadratic Model ◽  
Rough Rice ◽  
Quality Aspects ◽  
Tropical Conditions ◽  
Low Temperature Drying ◽  
Central Composite

Rice when harvested normally has a high moisture content of 20–25% which requires immediate drying, reducing its mass loss and preventing it to spoil. This situation is more crucial with the areas under humid tropical conditions, where moisture and temperature mainly play an important role in deteriorating the quality of rough rice. Keeping the importance of quality attributes of rough rice, the study was carried out to assess the effects of low-temperature drying and suggest an optimum condition. Response surface methodology (RSM) with a central composite design was employed to study the effects of variables, i.e., temperature (X1), time (X2), and air velocity (X3) on responses, i.e., head rice yield (HRY), hardness, lightness, and cooking time. The experimental data were fitted to the quadratic model, studying the relationship between independent and dependent variables. The results revealed that the HRY, hardness, lightness, and cooking time increased with increasing variables, whereas for HRY, it particularly increased and then decreased. It was observed that temperature had more influence on the quality of rough rice followed by time and velocity. Results for analysis of variance revealed that the quality aspects of rough rice were significantly (p<0.05) affected by temperature and time, whereas for velocity, it only significantly affected hardness. The optimal drying conditions predicted by RSM for variables were 25°C, 600 min, and 1 m·s−1, and the optimal predicted HRY, hardness, lightness, and cooking time were 73.93%, 38.28 N, 71.40, and 27.58 min respectively. Acceptable values of R2, Adj R2, and nonsignificance of lack of fit demonstrated that the model applied was adequate and can be used for optimization. The study concluded that the RSM with a central composite design was successfully used to study the dependence of quality aspects of rough rice at low temperature and can be utilized by the rice processing industries.

scholarly journals Lactase production by Saccharomyces fragilis IZ 275 using different carbon sources

2020 ◽  
Vol 15 (3) ◽  
pp. 1
Author(s):  
Alessandra Bosso ◽  
Adriana Aparecida Bosso Tomal ◽  
Lucas Caldeirão Miranda ◽  
Josemeyre Bonifácio da Silva ◽  
Hélio Hiroshi Suguimoto ◽  
...  
Keyword(s):  
Central Composite Design ◽  
Factorial Design ◽  
Cheese Whey ◽  
Carbon Sources ◽  
Dairy Industry ◽  
Fermentation Medium ◽  
Maximum Activity ◽  
Efficient Tool ◽  
Additional Value ◽  
Central Composite

  This study sought to create a better fermentation medium to maximize lactase production by Saccharomyces fragilis IZ 275 using different carbon sources, including reconstituted powdered cheese whey. A factorial design 24 was applied to evaluate the significant effects of variables which compose the fermentation medium. Then, a steepest descent-ascent design was applied to obtain the maximum activity. A Rotational Central Composite Design (RCCD) 24 was made to optimize the fermentation medium. We verified that the cheese whey, a by-product of the dairy industry, can be employed as an excellent fermentation medium by yeast, within the bioeconomy concept and used by the dairy industry as product with additional value. The employed methodology is an efficient tool in the optimization process for β-galactosidase production. In the optimized fermentation medium, the maximum production of β-galactosidase (54.68 U/mL) by S. fragilis IZ 275 is obtained with 14 g/L sucrose, 17.7 g/L reconstituted powdered cheese whey, 5.14 g/L yeast extract and 8.85 g/L peptone.

scholarly journals Optimization of Some Nutritional Conditions and α- Ketoglutaric Acid Concentration as PGA Precursor for Maximizing PGA Production from Bacillus sp. 42 and Bacillus sonorensis 44

2020 ◽  
pp. 34-42
Author(s):  
Rania F. Ahmed
Keyword(s):  
Yeast Extract ◽  
Glutaric Acid ◽  
Carbon Sources ◽  
Medium Composition ◽  
Water Soluble ◽  
Induction Effect ◽  
Bacillus Sp ◽  
Bacterial Strains ◽  
Nutritional Conditions ◽  
Bacillus Sonorensis

Poly gamma glutamic acid is a biodegradable, water soluble and non-toxic edible biopolymer, PGA has nylon back bone similar structure and expressed as bio-nylon. Various bacterial strains produced PGA on of them Bacillus sp. such as B. subtilis, B. lichanformans and B. sonorensis. Polymer yield was affected with medium composition as nitrogen and carbon sources. The current experimental was carried out using shake flask technique for PGA production during 72 of fermentation. The highest biomass was achieved at glycerol media and glucose media for PGA yield and productivity being 2.31, 9.65 gl-1 and 0.134 gl-1h-1, respectively of B. sonorensis 44. Of nitrogen source, organic source (yeast extract) was higher PGA yield  and productivity than inorganic sources (NH4NO3) which reduced PGA yield about 28.7 and 36.02% of Bacillus sp. 42 and B. sonorensis 44, respectively. Production media supple-  mented with 0.5 and 0.75 gl-1 α-keto-glutaric acid increased PGA yield about 1.24fold for both Bacillus strains. Osmotic pressure of 2.55 MPa (3% NaCl) enhanced PGA yield about  1.18 and 1.24fold of Bacillus sp. 42 and B. sonorensis 44, respectively. Furthermore, the highest PGA was received using medium containing glucose and yeast extract (as C and N2 sources). α-keto-glutaric acid and osmotic potential has an induction effect for polymer accumulation.

scholarly journals Agave syrup as a substrate for inulinase production by Kluyveromyces marxianus NRRL Y-7571

2016 ◽  
Vol 38 (3) ◽  
pp. 283
Author(s):  
Luana Paula de Azevedo de Oliveira ◽  
Tiago Felipe Oliveira ◽  
Jonas Contiero ◽  
Márcia Luciana Cazetta
Keyword(s):  
Thermal Stability ◽  
Central Composite Design ◽  
Yeast Extract ◽  
Kluyveromyces Marxianus ◽  
Crude Enzyme ◽  
Partial Characterization ◽  
Central Composite ◽  
Optimal Ph

The factorial planning was used to plan and optimize inulinase production by the yeast Kluyveromyces marxianus NRRL Y-7571. The experiments were conducted using a Central Composite Design (CCD) 22, at different concentrations of agave syrup (3.6 to 6.4%) and yeast extract (2.2 to 3.0%). After 96 hours of fermentation, the best condition for the inulinase production was 5% agave syrup and 2.5% yeast extract, which yielded an average of 129.21 U mL-1 of inulinase. Partial characterization of the crude enzyme showed that the optimal pH and temperature were 4.0 and 60°C, respectively. The enzyme showed thermal stability at 55°C for 4 hours. 

Optimizing of pharmaceutical active compounds biodegradability in secondary effluents by β-lactamase from Bacillus subtilis using central composite design

2019 ◽  
Vol 365 ◽  
pp. 883-894 ◽  
Author(s):  
Adel Al-Gheethi ◽  
Efaq Noman ◽  
Radin Maya Saphira Radin Mohamed ◽  
Norli Ismail ◽  
Abd Halid Bin Abdullah ◽  
...  
Keyword(s):  
Bacillus Subtilis ◽  
Central Composite Design ◽  
Active Compounds ◽  
Secondary Effluents ◽  
Central Composite

scholarly journals Statistical Approach to Optimize Production of Biosurfactant by Achromobacter Xylos

2021 ◽  
Vol 11 (4) ◽  
Author(s):  
Reddy Golamari Siva ◽  
Himavarshini Kadiyala ◽  
Prasanna Asapu Devi ◽  
Harini Singavarapu ◽  
Nikitha Narra Sai ◽  
...  
Keyword(s):  
Life Forms ◽  
Medium Composition ◽  
Fuel Oil ◽  
Quadratic Model ◽  
Test Results ◽  
Medium Components ◽  
Pull Out ◽  
Surfactant Production ◽  
Central Composite ◽  
The Ideal

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.

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