02111nas a2200289 4500008004100000022001400041245009300055210006900148260009900217300001400316490000700330520111900337653002201456653001701478653001701495653001701512653001301529100002501542700002101567700002201588700001601610700001701626700002501643700002201668700001601690856011501706 2005 eng d a1359-511300aOptimization and scale up of production of alkaline protease from Conidiobolus coronatus0 aOptimization and scale up of production of alkaline protease fro aTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLANDbELSEVIER SCI LTDcSEP a3152-31580 v403 a

Alkaline protease secreted by Conidiobolus coronatus has been evaluated extensively in tanneries and finds application in pre-tanning operations in leather manufacture. It is important to produce the enzyme in inexpensive and optimized media on large scale for the process to be commercially viable. The present paper describes optimization of fermentation conditions in shake flasks and scale up of production to 100 L in fermentors. The production is complete in 2-3 days comparable to bacterial fermentations. The organism utilized several carbon sources such as starch, sucrose, lactose, glucose and fructose for production. Soyabean meal at an optimum concentration of 2-3% was found to be best inducer. Diammonium hydrogen phosphate, casamino acids and Hi-media peptone gave activities comparable to yeast extract. Preservation and stabilization studies showed that glycerol conferred considerable stabilization at room temperature while ammonium sulphate precipitated enzyme at 0.9 saturation was best with stability up to 2 years even at room temperature. (c) 2005 Elsevier Ltd. All rights reserved.

10aAlkaline Protease10aConidiobolus10aFermentation10aOptimization10ascale up1 aLaxman, Ryali, Seeta1 aSonawane, A., P.1 aMore, Shivaji, V.1 aRao, B., S.1 aRele, M., V.1 aJogdand, Vitthal, V.1 aDeshpande, V., V.1 aRao, M., B. uhttp://library.ncl.res.in/content/optimization-and-scale-production-alkaline-protease-conidiobolus-coronatus-001751nas a2200241 4500008004100000022001400041245008900055210006900144260009500213300001400308490000700322520087700329653002501206653001101231653002001242653001701262653001901279100001801298700002101316700002601337700002101363856012501384 2005 eng d a0263-876200aRegression models using pattern search assisted least square support vector machines0 aRegression models using pattern search assisted least square sup a165-189 RAILWAY TERRACE, DAVIS BLDG, RUGBY CV21 3HQ, ENGLANDbINST CHEMICAL ENGINEERScAUG a1030-10370 v833 a

Least Square Support Vector Machines (LS-SVM), a new machine-learning tool has been employed for developing data driven models of non-linear processes. The method is firmly rooted in the statistical learning theory and transforms the input data to a higher dimensional feature space where the use of appropriate kernel functions avoid computational difficulty. Further, a pattern search algorithm, which explores multiple directions and utilizes coordinate search with fixed step size, is employed for selecting optimal LS-SVM model that produces a minimum possible prediction error. To show the efficacy and efficiency of the fully automated pattern search assisted LS-SVM methodology, we have tested it on several benchmark examples. The study suggests that proposed paradigm can be a useful and viable tool in building data driven models of non-linear processes.

10aequality constraints10aLS-SVM10amodel selection10aOptimization10apattern search1 aPatil, N., S.1 aShelokar, P., S.1 aJayaraman, Valadi, K.1 aKulkarni, B., D. uhttp://library.ncl.res.in/content/regression-models-using-pattern-search-assisted-least-square-support-vector-machines-001923nas a2200229 4500008004100000022001400041245016800055210006900223260009900292300001400391490000700405520100500412653001901417653001501436653003001451653001701481653000901498100002001507700001801527700002001545856012801565 2006 eng d a0960-852400aOptimization of anaerobically digested distillery molasses spent wash decolorization using soil as inoculum in the absence of additional carbon and nitrogen source0 aOptimization of anaerobically digested distillery molasses spent aTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLANDbELSEVIER SCI LTDcNOV a2131-21350 v973 a

The aim of this study was to achieve maximum decolorization of molasses spent wash (MSW) in absence of any additional carbon or nitrogen source using soil as inoculum. Soil samples were collected from the MSW disposal site. Colored soil samples exhibited higher pH, sugar and protein as compare to less colored samples. A decolorization of 69% was obtained using 10% (w/v) soil and 12.5% (v/v) MSW after 7 days incubation. Optimized parameters including days-6 days, pH-6, MSW-12.5% and soil concentration-40%, were obtained for maximum decolorization. A decolorization of 81% was achieved using 10% soil and 12.5% MSW after 18 days incubation in absence of any media supplement. Nearly 12% reduction in decolorization activity of the soil sample was observed over a period of 12 months when stored at 6 degrees C. It could be concluded that the decolorization of MSW might be achieved using soil as inoculum without addition of chemical amendments. (c) 2005 Elsevier Ltd. All rights reserved.

10aDecolorization10amelanoidin10amolasses spent wash (MSW)10aOptimization10asoil1 aAdikane, H., V.1 aDange, M., N.1 aSelvakumari, K. uhttp://library.ncl.res.in/content/optimization-anaerobically-digested-distillery-molasses-spent-wash-decolorization-using-002104nas a2200265 4500008004100000022001400041245009600055210006900151260006900220300001200289490000700301520118700308653002801495653002001523653001701543653001301560653001701573653001301590100002001603700002201623700002601645700002101671700001701692856012901709 2008 eng d a1369-703X00aOptimal xylanase production using Penicilium janthinellum NCIM 1169: a model based approach0 aOptimal xylanase production using Penicilium janthinellum NCIM 1 aPO BOX 564, 1001 LAUSANNE, SWITZERLANDbELSEVIER SCIENCE SAcJUN a348-3560 v403 a

Xylanases are an industrially important class of hydrolytic enzymes that degrade xylans. Production of xylanase from a fungal culture by submerged fermentation and optimization of the operating conditions for maximum activity are the two aims of the present study. Penicillium janthinellum NCIM 1169 with Mandels-Weber medium, sugarcane bagassse (40\#) as a carbon source and beef extract as a nitrogen source were used in the experiments. We did 41 experiments to see the effect of variations in carbon, nitrogen source, pH, and inoculum on xylanase activity. This data was then used to build an input/output model using multiple linear regression, back propagation neural network and lazy learning algorithm. It was found that lazy learning model correlated well in mapping input/output data. This model was then utilized as an objective function in genetic algorithm to find the optimal combination of the operating conditions to get the maximum xylanase activity. It was observed that with carbon source, 1.63%, nitrogen source, 0.16%, pH, 4.1, and inoculum, 5.5%, maximum xylanase activity of 28.98 +/- 1.73 U/ml was achieved. (C) 2008 Elsevier B.V. All rights reserved.

10aArtificial intelligence10aEnzyme activity10aFermentation10aModeling10aOptimization10aXylanase1 aMeshram, Mukesh1 aKulkarni, Abhijit1 aJayaraman, Valadi, K.1 aKulkarni, B., D.1 aLele, S., S. uhttp://library.ncl.res.in/content/optimal-xylanase-production-using-penicilium-janthinellum-ncim-1169-model-based-approach-002414nas a2200253 4500008004100000022001400041245015200055210006900207260006900276300001100345490000700356520145300363653002201816653001501838653001701853653003101870653001401901653001701915100002601932700002601958700002801984700002302012856012502035 2011 eng d a1369-703X00aStrain improvement and statistical media optimization for enhanced erythritol production with minimal by-products from candida magnoliae mutant R230 aStrain improvement and statistical media optimization for enhanc aPO BOX 564, 1001 LAUSANNE, SWITZERLANDbELSEVIER SCIENCE SAcJUL a92-1000 v553 a

Mutants of Candida magnoliae NCIM 3470 were generated by ultra-violet and chemical mutagenesis to enhance erythritol production. The mutants were screened for higher reductase activity on agar plates containing high concentration of glucose and 2,3,5-triphenyl tetrazolium chloride (TTC). One of the mutants named as R23 gave maximum erythritol production, 60.3 g L(-1), compared to 14 g L(-1) of the parent strain. Glucose and yeast extract were identified as critical medium components which decide the ratio of polyols produced, mainly erythritol, mannitol and glycerol. In order to enhance the production of erythritol and to minimize the production of mannitol and glycerol, a four component-five level-three response central-composite-rotatable-design (CCRD) of response surface methodology (RSM) model was used. The optimum medium composition for erythritol production was found to contain (g L(-1)) glucose 238, yeast extract 9.2, KH(2)PO(4), 5.16 and MgSO(4) 0.23. Moreover, erythritol production was studied in a 10 L fermentor in batch and fed-batch mode using RSM optimized medium. In fed-batch fermentation, 87.8 g L(-1) erythritol was produced with 31.1% yield, without formation of any other polyols. Thus present study involving strain improvement followed by media and process optimization resulted in 6.2-fold increase in erythritol production and 3.4-fold increase in the yield. (C) 2011 Elsevier B.V. All rights reserved.

10aCandida magnoliae10aErythritol10aFermentation10aMetabolite over-production10aModelling10aOptimization1 aSavergave, Laxman, S.1 aGadre, Ramchandra, V.1 aVaidya, Bhalchandra, K.1 aNarayanan, Karthik uhttp://library.ncl.res.in/content/strain-improvement-and-statistical-media-optimization-enhanced-erythritol-production-002032nas a2200253 4500008004100000022001400041245014000055210006900195260005700264300001400321490000700335520111700342653001301459653002001472653001401492653001801506653001701524653002301541100002901564700001601593700001501609700002401624856013001648 2012 eng d a1590-426100aCharacterization of a new bacillus cereus ATUAVP1846 strain producing penicillin V acylase, and optimization of fermentation parameters0 aCharacterization of a new bacillus cereus ATUAVP1846 strain prod a233 SPRING ST, NEW YORK, NY 10013 USAbSPRINGERcSEP a1287-12930 v623 a

Penicillin acylases are involved chiefly in the industrial production of semisynthetic penicillins, which remain the most widely used group of antibiotics. We have isolated a new bacterial strain ATUAVP1846 that produces penicillin V acylase (PVA). Phylogenetic analysis using 16S rRNA sequencing showed 99.37% homology with Bacillus cereus. Maximum PVA production was observed with B. cereus ATUAVP1846 at 30A degrees C, pH 7 after 24 h fermentation time under submerged conditions. Highest enzyme productivity was achieved using sucrose as carbon source, and tryptone and ammonium hydrogen phosphate as nitrogen sources. Minimal medium containing 0.4% glucose and 0.3% ammonium hydrogen phosphate was found to be optimal for maximum PVA production from B. cereus ATUAVP1846. The crude enzyme from B. cereus ATUAVP1846 was partially purified using ammonium sulfate fractionation and showed highest enzymatic activity in the hydrolysis of penicillin V at 40A degrees C and pH 6. The crude enzyme preparation also showed unique substrate specificity, preferring ampicillin and cephalexin over penicillin V.

10a16S rRNA10aBacillus cereus10aisolation10aNtn hydrolase10aOptimization10aPenicillin acylase1 aSunder, Avinash, Vellore1 aKumar, Atul1 aNaik, Neha1 aPundle, Archana, V. uhttp://library.ncl.res.in/content/characterization-new-bacillus-cereus-atuavp1846-strain-producing-penicillin-v-acylase-and-001824nas a2200241 4500008004100000022001400041245010300055210006900158260006700227300001200294490000600306520090900312653001301221653002201234653004201256653003001298653001701328653004901345100001801394700001901412700002101431856013001452 2013 eng d a1932-213500aDesign of decanter in heterogeneous azeotropic distillation column by minimizing Gibbs free energy0 aDesign of decanter in heterogeneous azeotropic distillation colu a111 RIVER ST, HOBOKEN 07030-5774, NJ USAbWILEY-BLACKWELLcNOV a843-8480 v83 a

In this paper, liquid-liquid equilibrium in decanter of heterogeneous azeotropic distillation is solved by minimizing Gibbs free energy, by using global optimization technique. The azeotropic distillation column is modeled by solving material balance, equilibrium and summation equations, and repulsive particle swarm optimization (RPSO), a stochastic global optimization formalism, is employed to predict stable steady state solution in decanter. To verify the performance of the RPSO algorithm, it is compared with equation solving method for liquid-liquid equilibria by considering two azeotropic systems, namely (1) benzene-ethanol-water and (2) furfural-water. The proposed methodology shows feasibility of the RPSO algorithm in predicting liquid-liquid equilibrium in decanter of heterogeneous azeotropic distillation. (c) 2013 Curtin University of Technology and John Wiley & Sons, Ltd.

10adecanter10aGibbs free energy10aheterogeneous azeotropic distillation10aliquid-liquid equilibrium10aOptimization10arepulsive particle swarm optimization method1 aRahman, Imran1 aUbaidullah, S.1 aDas, Anwesh, Kr. uhttp://library.ncl.res.in/content/design-decanter-heterogeneous-azeotropic-distillation-column-minimizing-gibbs-free-energy-002406nas a2200253 4500008004100000022001400041245016000055210006900215260007700284300001200361490000700373520141300380653002301793653001701816653001701833653003901850100002301889700002501912700002301937700002401960700002001984700001802004856013002022 2013 eng d a0038-905600aOptimization of the production of a maltooligosaccharides producing amylase from the alkalophilic streptomyces lonarensis strain NCL 716 using SVR modeling0 aOptimization of the production of a maltooligosaccharides produc aBOSCHSTRASSE 12, D-69469 WEINHEIM, GERMANYbWILEY-V C H VERLAG GMBHcJAN a179-1850 v653 a

The Streptomyces lonarensis strain NCL 716 hydrolyses starch to produce a mixture of maltotriose (G3) and maltotetraose (G4) along with maltose (G2). The objective of the present work was to determine an optimum cost effective media composition for the production of a-amylase from this strain. The most influential factor was found to be starch while the least influential factor found was peptone by PlackettBurman method. Peptone amount was kept constant throughout the fermentation. Peptone, which is one of the expensive media components was used at a concentration of 1?g/L, which made the optimum media composition cost effective. A support vector regression-based process model was developed for approximating the non-linear relationship between the fermentation operating variables and the a-amylase yield. Multicanonical Jump Walk Annealing, a stochastic optimization technique is used to obtain optimal operating variables to maximize amylase yield. The maximum amylase activity thus obtained was in good agreement with the experimental values at the optimized levels. The optimum media composition obtained by this method was: yeast extract: 4.53?g/L, starch: 20.246?g/L, K2HPO4: 0.0827%, MgSO4: 0.15%, peptone: 1?g/L. A maximum enzyme activity of 297?U/mL, which was achieved using the above approaches compares well with the activity of reported amylases producing maltooligosaccharides.

10aAlkaline a-amylase10aOptimization10aStreptomyces10aSupport vector regression analysis1 aSharma, Trupti, K.1 aBhadane, Vaibhav, A.1 aKumar, Lalitha, S.1 aRele, Meenakshi, V.1 aBhawar, Gajanan1 aRahman, Imran uhttp://library.ncl.res.in/content/optimization-production-maltooligosaccharides-producing-amylase-alkalophilic-streptomyces-002402nas a2200229 4500008004100000022001400041245017800055210006900233260009500302300001200397490000700409520142700416653003301843653001901876653002201895653002301917653001701940653003301957100002901990700002202019856013102041 2016 eng d a0957-582000aOptimization by box-behnken experimental design fur synthesis of n-hexyl levulinate biolubricant over hierarchical H-ZSM-5: an effort towards agricultural waste minimization0 aOptimization by boxbehnken experimental design fur synthesis of  a165-189 RAILWAY TERRACE, DAVIS BLDG, RUGBY CV21 3HQ, ENGLANDbINST CHEMICAL ENGINEERScJAN a159-1660 v993 a

The present study is devoted to develop efficient catalytic process for conversion of agricultural waste feedstock to value added chemicals. In this context, the n-hexyl levulinate, a renewable biolubricant was synthesized by esterification of biomass derived levulinic acid (LA) with n-hexanol in a closed batch system. Hierarchical-HZ-5 (modified H-ZSM-5) was used as a heterogeneous acid catalyst. There are no reports available on the synthesis of n-hexyl levulinate biolubricant using renewable levulinic acid. The process variables such as catalyst to LA ratio (X-1), n-hexanol to LA molar ratio (X-2), reaction time (X-3) and reaction temperature (X-4) were optimized by response surface methodology (RSM), using the Box-Behnken model. Analysis of variance was done to check the suitability and significance of the quadratic model. The yield of n-hexyl levulinate obtained was 97% with 100% selectivity at optimum process parameters. The RSM analysis predicted that catalyst to LA ratio is most significant (value of p < 0.0001) and n-hexanol to LA molar ratio is least significant (value of p = 0.0064) process parameter in esterification. The quadratic model established was revealed to be suitable and statistically precise with correlation value (R-2) of 0.9837 to predict the yield of n-hexyl levulinate. (C) 2015 The Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.

10aAgricultural waste feedstock10aEsterification10aHierarchical-HZ-510an-Hexyl levulinate10aOptimization10aResponse surface methodology1 aNandiwale, Kakasaheb, Y.1 aBokade, Vijay, V. uhttp://library.ncl.res.in/content/optimization-box-behnken-experimental-design-fur-synthesis-n-hexyl-levulinate-biolubricant-002573nas a2200373 4500008004100000022001400041245014200055210006900197260000800266490000700274520138700281653001501668653001501683653002401698653001101722653001601733653002601749653001301775653001401788653001801802653002101820653001701841653002301858653002801881653002801909653001501937100002101952700001801973700002001991700002102011700001802032700001902050856013002069 2017 eng d a1350-417700aIntensification of extraction of curcumin from Curcuma amada using ultrasound assisted approach: Effect of different operating parameters0 aIntensification of extraction of curcumin from Curcuma amada usi cSEP0 v383 a

Curcumin, a dietary phytochemical, has been extracted from rhizomes of Curcuma amada using ultrasound assisted extraction (UAE) and the results compared with the conventional extraction approach to establish the process intensification benefits. The effect of operating parameters such as type of solvent, extraction time, extraction temperature, solid to solvent ratio, particle size and ultrasonic power on the extraction yield have been investigated in details for the approach UAE. The maximum extraction yield as 72% was obtained in 1 h under optimized conditions of 35 degrees C temperature, solid to solvent ratio of 1:25, particle size of 0.09 mm, ultrasonic power of 250 W and ultrasound frequency of 22 kHz with ethanol as the solvent. The obtained yield was significantly higher as compared to the batch extraction where only about 62% yield was achieved in 8 h of treatment. Peleg's model was used to describe the kinetics of UAE and the model showed a good agreement with the experimental results. Overall, ultrasound has been established to be a green process for extraction of curcumin with benefits of reduction in time as compared to batch extraction and the operating temperature as compared to Soxhlet extraction.

10aAcrylamide10aCavitation10aCurcumin Extraction10aDesign10aEnhancement10aFunctionalized Silica10akinetics10aMicrowave10aNanoparticles10aNatural-products10aOptimization10aPhenolic-compounds10aProcess Intensification10aSolid-liquid Extraction10aUltrasound1 aShirsath, S., R.1 aSable, S., S.1 aGaikwad, S., G.1 aSonawane, S., H.1 aSaini, D., R.1 aGogate, P., R. uhttp://library.ncl.res.in/content/intensification-extraction-curcumin-curcuma-amada-using-ultrasound-assisted-approach-effect01720nas a2200241 4500008004100000022001400041245013200055210006900187260000900256300001100265490000800276520090500284653000801189653001101197653002001208653001701228653001401245100002201259700002301281700002601304700002301330856012501353 2022 eng d a0144-861700aIsolation and structural characterization of exopolysaccharide from marine Bacillus sp. and its optimization by Microbioreactor0 aIsolation and structural characterization of exopolysaccharide f cJUN  a1192410 v2853 a

In the present study, a cost-effective, robust Microbioreactor based production optimization of levan like exopolysaccharide from marine Bacillus sp. SGD-03 was analysed. FE-SEM analysis has showed the significant fibrillar structure of EPS. Size exclusion chromatography and other analytical data revealed that, produced EPS has a molecular weight of 1.0 x 10(4) Da and is composed of fructose monosaccharide with hydroxyl, carbonyl, and ether groups. The backbone structure of EPS has a branching pattern of beta-(2,6) linkages which confirms the similarity with available levan like polymers. The cost-effective media composition for levan production was demonstrated. The maximum yield of crude levan obtained was 123.9 g/L by response surface methodology using robust BioLector Pro Microbioreactor, and same has been validated with shake flask, 1 L and 10 L pilot-scale fermentation.

10aEPS10amarine10aMicrobioreactor10aOptimization10astructure1 aWagh, Vasudev, S.1 aSaid, Madhukar, S.1 aBennale, Jagadish, S.1 aDastager, Syed, G. uhttp://library.ncl.res.in/content/isolation-and-structural-characterization-exopolysaccharide-marine-bacillus-sp-and-its02155nas a2200229 4500008004100000022001400041245010800055210006900163260000900232300000700241490000700248520134100255653002701596653001701623653003401640653003301674653002401707100002601731700001601757700002401773856012801797 2023 eng d a2191-085500aPotential of Y. lipolytica epoxide hydrolase for efficient production of enantiopure (R)-1,2-octanediol0 aPotential of Y lipolytica epoxide hydrolase for efficient produc cJUL  a770 v133 a

The recombinant Yleh from a tropical marine yeast Yarrowia lipolytica NCIM 3589 exhibited a high epoxide hydrolase activity of 9.34 +/- 1.80 mu mol min(-1) mg(-1) protein towards 1,2-epoxyoctane (EO), at pH 8.0 and 30 degrees C. The reaction product was identified as 1,2-Octanediol (OD) by GC-MS using EO and H2O18 as substrate, affirming the functionality of Yleh as an epoxide hydrolase. For EO, the K-m, V-max, and k(cat)/K-m values were 0.43 +/- 0.017 mM, 0.042 +/- 0.003 mM min(-1), and 467.17 +/- 39.43 mM(-1) min(-1), respectively. To optimize the reaction conditions for conversion of racemic EO by Yleh catalyst to enantiopure (R)-1,2-octanediol, initially, Response Surface Methodology was employed. Under optimized reaction conditions of 15 mM EO, 150 mu g purified Yleh at 30 degrees C a maximal diol production of 7.11 mM was attained in a short span of 65 min with a yield of 47.4%. Green technology using deep eutectic solvents for the hydrophobic substrate (EO) were tested as co-solvents in Yleh catalyzed EO hydrolysis. Choline chloride-Glycerol, produced 9.08 mM OD with an increased OD yield of 60.5%. Thus, results showed that deep eutectic solvents could be a promising solvent for Yleh-catalyzed reactions making Yleh a potential biocatalyst for the biosynthesis of enantiopure synthons. [GRAPHICS] .

10aDeep Eutectic solvents10aOptimization10aRecombinant epoxide hydrolase10aResponse surface methodology10aYarrowia lipolytica1 aGodase, Vijaya, P. P.1 aKumar, Ravi1 aKumar, Ameeta, Ravi uhttp://library.ncl.res.in/content/potential-y-lipolytica-epoxide-hydrolase-efficient-production-enantiopure-r-12-octanediol