01586nas a2200265   4500008004100000022001400041245007600055210006900131260007300200300000900273490000700282520071200289653001501001653002001016653001901036653001601055653002601071653002401097100002101121700001801142700001701160700002101177700001601198856010601214       2006                        eng d  a1383-586600aComparative assessment of downstream processing options for lactic acid0 aComparative assessment of downstream processing options for lact  aPO BOX 211, 1000 AE AMSTERDAM, NETHERLANDSbELSEVIER SCIENCE BVcNOV  a1-170 v523 a<p>The possibility of manufacturing a biodegradable polymer from lactic acid has led to extensive research in recovery of lactic acid produced by fermentation, by different downstream processing routes. This paper assesses the suitability of different downstream processing options such as reactive extraction, adsorption, electrodialysis, esterification and reactive distillation. It compares the costs of different process routes. The assessment indicates that the conventional precipitation of calcium lactate, followed by acidification, esterification and hydrolysis will be the most economical route although it generates large quantity of gypsum sludge. (c) 2006 Elsevier B.V. All rights reserved.</p>10aAdsorption10aelectrodialysis10aEsterification10aLactic acid10aReactive distillation10areactive extraction1 aJoglekar, H., G.1 aRahman, Imran1 aBabu, Suresh1 aKulkarni, B., D.1 aJoshi, Ajit  uhttps://library.ncl.res.in/content/comparative-assessment-downstream-processing-options-lactic-acid-001346nas a2200229   4500008004100000022001400041245010100055210006900156260007300225300001000298490000800308520047200316653002900788653002200817653002900839653003600868100001800904700002100922700002100943700002100964856013100985       2009                        eng d  a0378-381200aEvaluation of repulsive particle swarm method for phase equilibrium and phase stability problems0 aEvaluation of repulsive particle swarm method for phase equilibr  aPO BOX 211, 1000 AE AMSTERDAM, NETHERLANDSbELSEVIER SCIENCE BVcAUG  a65-670 v2823 a<p>Phase equilibrium and stability problems are of crucial importance in simulation, design and optimization of several separation processes. Recently, these problems have been solved using minimization of Gibbs free energy, using global optimization techniques. In this paper, repulsive particle swarm (RPS), a recent global optimization technique is explored for the Solution of phase stability and phase equilibrium. (C) 2009 Elsevier B.V. All rights reserved.</p>10aLiquid-liquid equilibria10aPhase equilibrium10aPhase stability analysis10aRepulsive particle swarm method1 aRahman, Imran1 aDas, Anwesh, Kr.1 aMankar, Raju, B.1 aKulkarni, B., D.  uhttps://library.ncl.res.in/content/evaluation-repulsive-particle-swarm-method-phase-equilibrium-and-phase-stability-problems-001156nas a2200169   4500008004100000022001400041245006800055210006800123260007100191300001200262490000700274520054300281100002400824700001800848700002600866856009400892       2009                        eng d  a1083-616000aPilot plant study of recovery of lactic acid from ethyl lactate0 aPilot plant study of recovery of lactic acid from ethyl lactate  a1155 16TH ST, NW, WASHINGTON, DC 20036 USAbAMER CHEMICAL SOCcMAY  a573-5750 v133 a<p>Purified lactic acid is used for production of biodegradable polymer. Esterification with ethanol and subsequent hydrolysis in distillation columns to produce purified lactic acid without catalyst has obvious advantages. In this paper, we present a pilot-plant study of ethyl lactate hydrolysis to produce 3.86 kg/h lactic acid (99.85% purity) using three distillation columns. Simulation of distillation columns at steady state has been carried out, and the results obtained tally with the experimental results of the pilot plant.</p>1 aBarve, Prashant, P.1 aRahman, Imran1 aKulkarni, Bhaskar, D.  uhttps://library.ncl.res.in/content/pilot-plant-study-recovery-lactic-acid-ethyl-lactate-002370nas a2200193   4500008004100000022001400041245022700055210006900282260007100351300001400422490000700436520149300443100002301936700002401959700002701983700001802010700002602028856012202054       2012                        eng d  a0888-588500aPurification of lactic acid via esterification of lactic acid using a packed column, followed by hydrolysis of methyl lactate using three continuously stirred tank reactors (CSTRs) in series: a continuous pilot plant study0 aPurification of lactic acid via esterification of lactic acid us  a1155 16TH ST, NW, WASHINGTON, DC 20036 USAbAMER CHEMICAL SOCcFEB  a1506-15140 v513 a<p>The world market of lactic acid is growing every year, mainly as a solvent and precursor to poly(lactic acid) (PLA). The cost of renewable biomass-derived PLA will have to compete with other synthetic polymers, if it is to grab a significant and sustainable fraction of the market share. It is thus necessary to have efficient and cost-effective technology for the production of pure-grade lactic acid (LA). In this article, a novel cost-effective, eco-friendly continuous process for the production of high-quality lactic acid at pilot plant scale has been demonstrated. The novelty of this process is that, for the first time, we report and use the concept of inverse reactive distillation for the esterification of crude concentrated LA in a continuous countercurrent packed column mode. This allows us to operate the column at higher temperatures, improving the kinetic rate process and leading to shorter columns. This is followed by the hydrolysis of methyl lactate (MLA) in a series of three continuously stirred tank reactors (CSTRs), where LA itself acts as a catalyst. The LA obtained in the pilot plant process shows 99.81% purity (by weight) on water-free basis and has an optical purity of 99.9%. The pilot scale experimental results pertaining to the autocatalytic esterification of LA and hydrolysis of MLA have been compared and validated, with respect to simulated results. The innovations reported here can make the process economically viable for commercial use.</p>1 aKamble, Sanjay, P.1 aBarve, Prashant, P.1 aJoshi, Jyeshtharaj, B.1 aRahman, Imran1 aKulkarni, Bhaskar, D.  uhttps://library.ncl.res.in/content/purification-lactic-acid-esterification-lactic-acid-using-packed-column-followed-001825nas a2200241   4500008004100000022001400041245010300055210006900158260006700227300001200294490000600306520090900312653001301221653002201234653004201256653003001298653001701328653004901345100001801394700001901412700002101431856013101452       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<p>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 &amp; Sons, Ltd.</p>10adecanter10aGibbs free energy10aheterogeneous azeotropic distillation10aliquid-liquid equilibrium10aOptimization10arepulsive particle swarm optimization method1 aRahman, Imran1 aUbaidullah, S.1 aDas, Anwesh, Kr.  uhttps://library.ncl.res.in/content/design-decanter-heterogeneous-azeotropic-distillation-column-minimizing-gibbs-free-energy-002407nas a2200253   4500008004100000022001400041245016000055210006900215260007700284300001200361490000700373520141300380653002301793653001701816653001701833653003901850100002301889700002501912700002301937700002401960700002001984700001802004856013102022       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<p>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.</p>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  uhttps://library.ncl.res.in/content/optimization-production-maltooligosaccharides-producing-amylase-alkalophilic-streptomyces-001454nas a2200157   4500008004100000245006500041210006500106260000800171300001000179490000800189520094300197100002201140700002001162700001801182856009601200       2018                        eng d00aDeep learning based data driven soft sensor for bioprocesses0 aDeep learning based data driven soft sensor for bioprocesses  cAUG  a28-390 v1363 a<p>Developing accurate and robust sensors for nonlinear and highly varying systems is a challenge. Deep learning, an advanced technique to learn deep architectures, has become a popular training strategy while dealing with complex problems. In this paper, deep learning has been introduced to develop data driven soft sensors for estimating crucial parameters in two fermentation processes, namely, Streptokinase and Penicillin. Additionally, the performance of the developed soft sensor is compared to an SVR based soft sensor. The results clearly indicate that deep learning is an attractive alternative to traditional techniques for soft sensor modelling as it represents nonlinear systems better, makes full advantage of process data by also incorporating unlabelled data and handles large datasets efficiently. Deep learning proves to be a promising technique for soft sensor modelling in highly data driven complex bioprocesses.</p>1 aGopakumar, Vineet1 aTiwari, Sarthak1 aRahman, Imran  uhttps://library.ncl.res.in/content/deep-learning-based-data-driven-soft-sensor-bioprocesses01637nas a2200313   4500008004100000022001400041245006600055210006500121260000900186300001400195490000800209520072500217653002100942653003000963653000800993653001301001653001401014653002801028653003101056653001501087653000801102653002101110100002101131700001701152700001801169700001901187700002001206856009701226       2019                        eng d  a0098-644500aRing opening polymerization of lactide: kinetics and modeling0 aRing opening polymerization of lactide kinetics and modeling  cSEP   a1159-11670 v2063 a<p>The ring opening polymerization (ROP) kinetics of L-lactide was studied in bulk at 150, 160, and 180 degrees C using stannous octoate [Sn(Oct)(2)] catalyst and 1-pyrene butanol co-catalyst. The effect of different parameters namely, time and co-catalyst to catalyst ratio was studied on the properties of polylactide. The experimental results showed high conversion of L-lactide. The kinetics of L-lactide ROP follows the co-ordination insertion mechanism. The experimental results obtained were studied to account for the reversible activation, propagation, termination, and validated by modeling using MATLAB. The model developed successfully predicts the monomer conversion and the kinetics of L-lactide ROP.</p>
10a1-pyrene butanol10aAverage molecular weights10aGPC10akinetics10aL-Lactide10aModeling and simulation10aPolymerization temperature10aProton NMR10aROP10aStannous octoate1 aMetkar, Sangeeta1 aSathe, Vivek1 aRahman, Imran1 aIdage, Bhaskar1 aIdage, Susheela  uhttps://library.ncl.res.in/content/ring-opening-polymerization-lactide-kinetics-and-modeling