| Computational fluid dynamics simulation of an industrial P. chrysogenum fermentation with a coupled 9-pool metabolic model: Towards rational scale-down and design optimization C Haringa, W Tang, G Wang, AT Deshmukh, WA van Winden, J Chu, ... Chemical Engineering Science 175, 12-24, 2018 | 122 | 2018 |
| Integration of microbial kinetics and fluid dynamics toward model‐driven scale‐up of industrial bioprocesses G Wang, W Tang, J Xia, J Chu, H Noorman, WM van Gulik Engineering in Life Sciences 15 (1), 20-29, 2015 | 103 | 2015 |
| Developing a computational framework to advance bioprocess scale-up G Wang, C Haringa, H Noorman, J Chu, Y Zhuang Trends in Biotechnology 38 (8), 846-856, 2020 | 94 | 2020 |
| A 9‐pool metabolic structured kinetic model describing days to seconds dynamics of growth and product formation by Penicillium chrysogenum W Tang, AT Deshmukh, C Haringa, G Wang, W van Gulik, W van Winden, ... Biotechnology and Bioengineering 114 (8), 1733-1743, 2017 | 62 | 2017 |
| Advances and practices of bioprocess scale-up J Xia, G Wang, J Lin, Y Wang, J Chu, Y Zhuang, S Zhang Bioreactor engineering research and industrial applications II, 137-151, 2016 | 59 | 2016 |
| Effect of temperature and surfactant on biomass growth and higher-alcohol production during syngas fermentation by Clostridium carboxidivorans P7 S Shen, G Wang, M Zhang, Y Tang, Y Gu, W Jiang, Y Wang, Y Zhuang Bioresources and Bioprocessing 7, 1-13, 2020 | 45 | 2020 |
| Comparative performance of different scale‐down simulators of substrate gradients in Penicillium chrysogenum cultures: the need of a biological systems response … G Wang, J Zhao, C Haringa, W Tang, J Xia, J Chu, Y Zhuang, S Zhang, ... Microbial Biotechnology 11 (3), 486-497, 2018 | 37 | 2018 |
| Prelude to rational scale-up of penicillin production: a scale-down study G Wang, J Chu, H Noorman, J Xia, W Tang, Y Zhuang, S Zhang Applied microbiology and biotechnology 98, 2359-2369, 2014 | 37 | 2014 |
| Understanding the scale-up of fermentation processes from the viewpoint of the flow field in bioreactors and the physiological response of strains J Xia, G Wang, M Fan, M Chen, Z Wang, Y Zhuang Chinese Journal of Chemical Engineering 30, 178-184, 2021 | 32 | 2021 |
| Coupled metabolic‐hydrodynamic modeling enabling rational scale‐up of industrial bioprocesses G Wang, C Haringa, W Tang, H Noorman, J Chu, Y Zhuang, S Zhang Biotechnology and Bioengineering 117 (3), 844-867, 2020 | 26 | 2020 |
| Power input effects on degeneration in prolonged penicillin chemostat cultures: A systems analysis at flux, residual glucose, metabolite, and transcript levels G Wang, B Wu, J Zhao, C Haringa, J Xia, J Chu, Y Zhuang, S Zhang, ... Biotechnology and Bioengineering 115 (1), 114-125, 2018 | 24 | 2018 |
| Leveraging and manufacturing in vitro multicellular spheroid-based tumor cell model as a preclinical tool for translating dysregulated tumor metabolism into clinical targets … T Wang, L Wang, G Wang, Y Zhuang Bioresources and Bioprocessing 7, 1-34, 2020 | 19 | 2020 |
| A dynamic model-based preparation of uniformly-13C-labeled internal standards facilitates quantitative metabolomics analysis of Penicillium chrysogenum G Wang, J Chu, Y Zhuang, W van Gulik, H Noorman Journal of biotechnology 299, 21-31, 2019 | 17 | 2019 |
| Quantitative metabolomics and metabolic flux analysis reveal impact of altered trehalose metabolism on metabolic phenotypes of Penicillium chrysogenum in aerobic glucose … G Wang, J Zhao, X Wang, T Wang, Y Zhuang, J Chu, S Zhang, ... Biochemical Engineering Journal 146, 41-51, 2019 | 14 | 2019 |
| Harnessing microbial metabolomics for industrial applications J Zhao, G Wang, J Chu, Y Zhuang World Journal of Microbiology and Biotechnology 36, 1-18, 2020 | 13 | 2020 |
| Improving cytosolic aspartate biosynthesis increases glucoamylase production in Aspergillus niger under oxygen limitation W Cao, G Wang, H Lu, L Ouyang, J Chu, Y Sui, Y Zhuang Microbial Cell Factories 19, 1-14, 2020 | 12 | 2020 |
| Dynamic hybrid modeling of fuel ethanol fermentation process by integrating biomass concentration XGBoost model and kinetic parameter artificial neural network model into … X Li, Y Dong, L Chang, L Chen, G Wang, Y Zhuang, X Yan Renewable Energy 205, 574-582, 2023 | 11 | 2023 |
| Comparative fluxome and metabolome analysis of formate as an auxiliary substrate for penicillin production in Glucose‐Limited cultivation of Penicillium chrysogenum G Wang, X Wang, T Wang, W van Gulik, HJ Noorman, Y Zhuang, J Chu, ... Biotechnology journal 14 (10), 1900009, 2019 | 10 | 2019 |
| Impact of Altered Trehalose Metabolism on Physiological Response of Penicillium chrysogenum Chemostat Cultures during Industrially Relevant Rapid Feast … X Wang, J Zhao, J Xia, G Wang, J Chu, Y Zhuang Processes 9 (1), 118, 2021 | 8 | 2021 |
| Neural networks-based hybrid beneficial variable selection and modeling for soft sensing Z Zhang, Q Jiang, G Wang, C Pan, Z Cao, X Yan, Y Zhuang Control Engineering Practice 139, 105613, 2023 | 7 | 2023 |
Cees HaringaAssistant Professor, TU Delft在 tudelft.nl 的电子邮件经过验证
