1 |
Design of bypass-simulated moving bed chromatography for reduced purity requirements Maruyama RT, Karnal P, Sainio T, Rajendran A Chemical Engineering Science, 205, 401, 2019 |
2 |
Efficient numerical simulation of simulated moving bed chromatography with a single-column solver He QL, Leweke S, von Lieres E Computers & Chemical Engineering, 111, 183, 2018 |
3 |
D-psicose 3-epimerase secretory overexpression, immobilization, and d-psicose biotransformation, separation and crystallization Li C, Lin JQ, Guo QQ, Zhang CJ, Du K, Lin HB, Lin JQ Journal of Chemical Technology and Biotechnology, 93(2), 350, 2018 |
4 |
Accelerating optimization and uncertainty quantification of nonlinear SMB chromatography using reduced-order models Zhang YJ, Feng LH, Seidel-Morgenstern A, Benner P Computers & Chemical Engineering, 96, 237, 2017 |
5 |
Real-time Monitoring of Saccharide Concentrations in Simulated Moving-Bed Chromatography Inagaki K, Yamashita Y Journal of Chemical Engineering of Japan, 50(2), 136, 2017 |
6 |
Optimal strategies for transitions in simulated moving bed chromatography Vignesh SV, Hariprasad K, Athawale P, Siram V, Bhartiya S Computers & Chemical Engineering, 84, 83, 2016 |
7 |
Model Reduction for Linear Simulated Moving Bed Chromatography Systems Using Krylov-Subspace Methods Li SZ, Yue Y, Feng LH, Benner P, Seidel-Morgenstern A AIChE Journal, 60(11), 3773, 2014 |
8 |
Enantioseparation of racemic mandelic acid by simulated moving bed chromatography using Chiralcel-OD column Mao SM, Zhang Y, Rohani S, Ray AK Canadian Journal of Chemical Engineering, 92(7), 1283, 2014 |
9 |
Design and optimization of coupling a continuously operated reactor with simulated moving bed chromatography Lee JW, Horvath Z, O'Brien AG, Seeberger PH, Seidel-Morgenstern A Chemical Engineering Journal, 251, 355, 2014 |
10 |
Optimization of VARICOL SMB processes using hybrid modeling and nonlinear programming Zuniga IT, Wouwer AV Computers & Chemical Engineering, 71, 1, 2014 |