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Dong-Qiang Lin

Showing results (71-80 of 107) with videos related to

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Biotechnology and Bioengineering|January 17, 2024
Realization of digital twin for dynamic control toward sample variation of ion exchange chromatography in antibody separationCe Shi, Xu-Jun Chen, Xue-Zhao Zhong, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences|August 27, 2013
Evaluation of mixed-mode chromatographic resins for separating IgG from serum albumin containing feedstockRong-Zhu Wang, Dong-Qiang Lin, Hong-Fei Tong, et al.
Applied Biochemistry and Biotechnology|May 31, 2012
Optimization of a natural medium for cellulase by a marine Aspergillus niger using response surface methodologyDong-Sheng Xue, Hui-Yin Chen, Dong-Qiang Lin, et al.
Journal of Molecular Recognition : JMR|July 3, 2014
Molecular recognition of Fc-specific ligands binding onto the consensus binding site of IgG: insights from molecular simulationHong-Fei Tong, Dong-Qiang Lin, Qi-Lei Zhang, et al.
Journal of Chromatography. A|November 26, 2025
Evolution of chromatographic modeling: From mechanistic models to hybrid models with physics-based deep learningYu-Cheng Chen, Zhiyuan Chen, Shi-Peng Dai, et al.
Journal of Chromatography. A|August 16, 2023
Improved process design for monoclonal antibody charge variants separation with multicolumn counter-current solvent gradient purificationShu-Ying Jing, Ce Shi, Dong Gao, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences|December 16, 2016
Selectivity evaluation and separation of human immunoglobulin G, Fab and Fc fragments with mixed-mode resinsYing-Di Luo, Qi-Lei Zhang, Xiao-Ming Yuan, et al.
Journal of Chromatography. A|February 13, 2026
Modeling retention time distribution in continuous Protein A affinity capture for materials traceability and diversion: A case study with twin-column systemWu-Wei Chen, Liang-Zhi Qiao, Alois Jungbauer, et al.
Journal of Chromatography. A|November 20, 2024
Developing physics-informed neural networks for model predictive control of periodic counter-current chromatographySi-Yuan Tang, Yun-Hao Yuan, Yan-Na Sun, et al.
Journal of Chromatography. A|September 16, 2023
Physics-informed neural networks to solve lumped kinetic model for chromatography processSi-Yuan Tang, Yun-Hao Yuan, Yu-Cheng Chen, et al.
Pageof 11

Showing results (71-80 of 107) with videos related to

Sort By:
Pageof 11
Biotechnology and Bioengineering|January 17, 2024
Realization of digital twin for dynamic control toward sample variation of ion exchange chromatography in antibody separationCe Shi, Xu-Jun Chen, Xue-Zhao Zhong, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences|August 27, 2013
Evaluation of mixed-mode chromatographic resins for separating IgG from serum albumin containing feedstockRong-Zhu Wang, Dong-Qiang Lin, Hong-Fei Tong, et al.
Applied Biochemistry and Biotechnology|May 31, 2012
Optimization of a natural medium for cellulase by a marine Aspergillus niger using response surface methodologyDong-Sheng Xue, Hui-Yin Chen, Dong-Qiang Lin, et al.
Journal of Molecular Recognition : JMR|July 3, 2014
Molecular recognition of Fc-specific ligands binding onto the consensus binding site of IgG: insights from molecular simulationHong-Fei Tong, Dong-Qiang Lin, Qi-Lei Zhang, et al.
Journal of Chromatography. A|November 26, 2025
Evolution of chromatographic modeling: From mechanistic models to hybrid models with physics-based deep learningYu-Cheng Chen, Zhiyuan Chen, Shi-Peng Dai, et al.
Journal of Chromatography. A|August 16, 2023
Improved process design for monoclonal antibody charge variants separation with multicolumn counter-current solvent gradient purificationShu-Ying Jing, Ce Shi, Dong Gao, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences|December 16, 2016
Selectivity evaluation and separation of human immunoglobulin G, Fab and Fc fragments with mixed-mode resinsYing-Di Luo, Qi-Lei Zhang, Xiao-Ming Yuan, et al.
Journal of Chromatography. A|February 13, 2026
Modeling retention time distribution in continuous Protein A affinity capture for materials traceability and diversion: A case study with twin-column systemWu-Wei Chen, Liang-Zhi Qiao, Alois Jungbauer, et al.
Journal of Chromatography. A|November 20, 2024
Developing physics-informed neural networks for model predictive control of periodic counter-current chromatographySi-Yuan Tang, Yun-Hao Yuan, Yan-Na Sun, et al.
Journal of Chromatography. A|September 16, 2023
Physics-informed neural networks to solve lumped kinetic model for chromatography processSi-Yuan Tang, Yun-Hao Yuan, Yu-Cheng Chen, et al.
Pageof 11