@article { ISI:000328153400006,
	title = {Design of decanter in heterogeneous azeotropic distillation column by minimizing Gibbs free energy},
	journal = {Asia-Pacific Journal of Chemical Engineering},
	volume = {8},
	number = {6},
	year = {2013},
	month = {NOV},
	pages = {843-848},
	publisher = {WILEY-BLACKWELL},
	address = {111 RIVER ST, HOBOKEN 07030-5774, NJ USA},
	abstract = {<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>},
	keywords = {decanter, Gibbs free energy, heterogeneous azeotropic distillation, liquid-liquid equilibrium, Optimization, repulsive particle swarm optimization method},
	issn = {1932-2135},
	doi = {10.1002/apj.1728},
	author = {Rahman, Imran and Ubaidullah, S. and Das, Anwesh Kr.}
}
@article { ISI:000312999200020,
	title = {Optimization of the production of a maltooligosaccharides producing amylase from the alkalophilic streptomyces lonarensis strain NCL 716 using SVR modeling},
	journal = {Starch-Starke},
	volume = {65},
	number = {1-2},
	year = {2013},
	month = {JAN},
	pages = {179-185},
	publisher = {WILEY-V C H VERLAG GMBH},
	address = {BOSCHSTRASSE 12, D-69469 WEINHEIM, GERMANY},
	abstract = {<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>},
	keywords = {Alkaline a-amylase, Optimization, Streptomyces, Support vector regression analysis},
	issn = {0038-9056},
	doi = {10.1002/star.201200094},
	author = {Sharma, Trupti K. and Bhadane, Vaibhav A. and Kumar, Lalitha S. and Rele, Meenakshi V. and Bhawar, Gajanan and Rahman, Imran}
}
