论文著作：
[1] Kaidi Ji, Xiaofei Yu, Lifan Chen, Yongbo Wang, Zhiqiang Guo, Biao Chen, Qingyang Li, Zhen Li, Hu Zhang, Guan Wang*, Yingping Zhuang, Yinlan Ruan*. Data-Augmented Deep Learning Algorithm for Accurate Control of Bioethanol Fermentation Using an Online Raman Analyzer. Biotechnology and Bioengineering, 2025, 122(9), 2366-2376.
[2] Yining Chen, Cees Haringa, Zejian Wang, Yingping Zhuang, Guan Wang*. Physiological Response of Penicillium chrysogenum to Mimicked Local and Global Perturbations of Substrate and Dissolved Oxygen Gradients at Industrial-Scale. Biotechnology and Bioengineering, 2025, 122(6), 1402-1423.
[3] Zhenhua Yu, Wenjing Wang, Xueting Wang, Qingchao Jiang*, Guan Wang*. Nonlinear dynamic process monitoring based on latent mapping embedding deep neural networks. The Canadian Journal of Chemical Engineering, 2025, 103(4), 1802-1812.
[4] Jiachen Zhao, Muhammad Alkali Muawiya, Yingping Zhuang, Guan Wang*. Developing rational scale-down simulators for mimicking substrate heterogeneities based on cell lifelines in industrial-scale bioreactors. Bioresource Technology, 2024, 395, 130354.
[5] Xueting Wang, Qi Yang, Cees Haringa, Zejian Wang, Ju Chu, Yingping Zhuang, Guan Wang*. An industrial perspective on metabolic responses of Penicillium chrysogenum to periodic dissolved oxygen feast-famine cycles in a scale-down system. Biotechnology and Bioengineering, 2024, 121 (10), 3076-3098.
[6] Tong Wang, Xueting Wang, Xuli Zheng, Zhongfang Guo, Ali Mohsin, Yingping Zhuang, Guan Wang*. Overexpression of SLC2A1, ALDOC, and PFKFB4 in the glycolysis pathway drives strong drug resistance in 3D HeLa tumor cell spheroids. Biotechnology Journal, 2024, 19(9), 2400163.
[7] Zhixian Xu, Xiaofeng Zhu, Ali Mohsin, Jianfei Guo, Yingping Zhuang, Ju Chu, Meijin Guo, Guan Wang*. A machine learning-based approach for improving plasmid DNA production in Escherichia coli fed-batch fermentations. Biotechnology Journal, 2024, 19(6), 2400140.
[8] Zhongyi Zhang, Qingchao Jiang*, Guan Wang*, Chunjian Pan, Zhixing Cao, Xuefeng Yan, Yingping Zhuang. Neural networks-based hybrid beneficial variable selection and modeling for soft sensing. Control Engineering Practice, 2023, 139, 105613.
[9] Ziyu Zhu, Xiaoqian Chen, Wenhao Li, Yingping Zhuang, Yuzheng Zhao, Guan Wang*. Understanding the effect of temperature downshift on CHO cell growth, antibody titer and product quality by intracellular metabolite profiling and in vivo monitoring of redox state. Biotechnology Progress, 2023, 39(4), e3352.
[10] Tong Wang, Xueting Wang, Yingping Zhuang, Guan Wang*. A systematic evaluation of quenching and extraction procedures for quantitative metabolome profiling of HeLa carcinoma cell under 2D and 3D cell culture conditions. Biotechnology Journal, 2023, 18(5), 2200444.
[11] Qi Yang, Wenli Lin, Jiawei Xu, Nan Guo, Jiachen Zhao, Gaoya Wang, Yongbo Wang, Ju Chu, and Guan Wang*. Changes in oxygen availability during glucose-limited chemostat cultivations of Penicillium chrysogenum lead to rapid metabolite, flux and productivity responses. Metabolites, 2022, 12(1), 45.
[12] Lin Wang, Xueting Wang, Tong Wang, Yingping Zhuang, and Guan Wang*. Multi-omics analysis defines 5-fluorouracil drug resistance in 3D HeLa carcinoma cell model. Bioresources and Bioprocessing, 2021, 8(1), 1-21.
[13] Guan Wang*, Cees Haringa, Henk Noorman, Ju Chu, and Yingping Zhuang*. Developing a computational framework to advance bioprocess scale-up. Trends in Biotechnology, 2020, 38(8), 846-856.
[14] Guan Wang, Cees Haringa, Wenjun Tang, Henk Noorman, Ju Chu*, Yingping Zhuang*, and Siliang Zhang. Coupled metabolic-hydrodynamic modeling enabling rational scale-up of industrial bioprocesses. Biotechnology and Bioengineering, 2020, 117, 844-867.
[15] Tong Wang, Lin Wang, Guan Wang*, and Yingping Zhuang*. Leveraging and manufacturing in vitro multicellular spheroid-based tumor cell model as a preclinical tool for translating dysregulated tumor metabolism into clinical targets and biomarkers. Bioresources and Bioprocessing, 2020, 7(1), 1-34.
[16] Jiachen Zhao, Guan Wang*, Ju Chu, and Yingping Zhuang. Harnessing microbial metabolomics for industrial applications. World Journal of Microbiology and Biotechnology, 2020, 36(1), 1-18.
[17] Guan Wang*, Ju Chu, Yingping Zhuang*, Walter van Gulik, and Henk Noorman. A dynamic model-based preparation of uniformly-13C-labeled internal standards facilitates quantitative metabolomics analysis of Penicillium chrysogenum. Journal of Biotechnology, 2019, 299, 21-31.
[18] Guan Wang, Xinxin Wang, Tong Wang, Walter van Gulik, Henk J. Noorman, Yingping Zhuang*, Ju Chu*, and Siliang Zhang. Comparative fluxome and metabolome analysis of formate as an auxiliary substrate for penicillin production under glucose-limited cultivation of Penicillium chrysogenum. Biotechnology Journal, 2019, 14(10), 1900009.
[19] Guan Wang, Junfei Zhao, Xinxin Wang, Tong Wang, Yingping Zhuang*, Ju Chu*, Siliang Zhang, Henk J. Noorman. Quantitative metabolomics and metabolic flux analysis reveal impact of altered trehalose metabolism on metabolic phenotypes of Penicillium chrysogenum in aerobic glucose-limited chemostats, Biochemical Engineering Journal, 2019, 146: 41-51.
[20] Guan Wang, Baofeng Wu, Junfei Zhao, Cees Haringa, Jianye Xia, Ju Chu*, Yingping Zhuang, Siliang Zhang, Joseph J. Heijnen, Walter van Gulik, Amit T. Deshmukh, Henk J. Noorman*. Power input effects on degeneration in prolonged penicillin chemostat cultures: A systems analysis at flux, residual glucose, metabolite, and transcript levels, Biotechnology and Bioengineering, 2018, 115: 114-125.
[21] Guan Wang, Junfei Zhao, Cees Haringa, Wenjun Tang, Jianye Xia, Ju Chu*, Yingping Zhuang, Siliang Zhang, Amit T. Deshmukh, Walter van Gulik, Joseph J. Heijnen, Henk J. Noorman. Comparative performance of different scale-down simulators of substrate gradients in Penicillium chrysogenum cultures: the need of a biological systems response analysis, Microbial Biotechnology, 2018, 11: 486-497.
[22] Guan Wang, Wenjun Tang, Jianye Xia, Ju Chu*, Henk J. Noorman, Walter van Gulik. Integration of microbial kinetics and fluid dynamics toward model-driven scale-up of industrial bioprocesses, Engineering in Life Sciences, 2015, 15: 20-29.
[23] Guan Wang, Ju Chu*, Henk J. Noorman, Jianye Xia, Wenjun Tang, Yingping Zhuang, Siliang Zhang. Prelude to rational scale-up of penicillin production: a scale-down study, Applied Microbiology and Biotechnology, 2014, 98: 2359-2369.
[24] 王冠，庄英萍*. 生物过程工程与智能生物制造. 中国科学院院刊，2025，40（1）， 107-115.
[25] 王冠，田锡炜，夏建业，储炬，张嗣良，庄英萍*. 大数据-模型混合驱动下生物过程优化与放大的新机遇与挑战. 生物工程学报，2021, 37(3), 1004-1016.
王冠
上海市
研究领域：
生物医药
研究方向：
1. 生物反应器非均匀流场理性缩放与细胞代谢调控机制解析
2. 生物过程（微生物、动物细胞）多尺度优化与智能调控
3. 微生物系统代谢工程改造与高附加值产品开发
4. 细胞代谢建模与计算生物学
5. 肿瘤细胞代谢异质性与耐药机制解析
所在单位：
华东理工大学
