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548 results on '"Lin, Dong-qiang"'

1. Contributors

Author

Ansari, S.A., primary, Antos, Dorota, additional, Anupa, Anupa, additional, Bandini, Serena, additional, Bartlett, Michael G., additional, Boi, Cristiana, additional, Cabanne, Charlotte, additional, Chen, Xiaomei, additional, Chen, Yu-Cheng, additional, Fekete, Szabolcs, additional, Giancaterino, Sara, additional, Guo, Jing, additional, Hahn, Rainer, additional, Heldt, Caryn L., additional, Imiołek, Mateusz, additional, Ivanov, V.A., additional, Khamizov, R.Kh., additional, Li, Jie, additional, Li, Shanshan, additional, Li, Yongbo, additional, Lin, Dong-Qiang, additional, Lin, Xuan, additional, Lingg, Nico, additional, Ma, Guanghui, additional, Mao, Ruo-Que, additional, Michalski, Rajmund, additional, Mihooliya, Kanti N., additional, Mohapatra, P.K., additional, Mori, Masanobu, additional, Muntean, Edward, additional, Nesterenko, Ekaterina P., additional, Nesterenko, Pavel N., additional, Nitika, Nitika, additional, Onesti, Riccardo, additional, Piątkowski, Wojciech, additional, Poole, Colin F., additional, Rathore, Anurag S., additional, Roselli, Marco, additional, Rybakova, Elena Veniaminovna, additional, Santarelli, Xavier, additional, Shpigun, Oleg, additional, Su, Zhiguo, additional, Sun, Yan, additional, Uzhel, Anna, additional, Wu, Yuntao, additional, Xie, Jin, additional, Xu, Xuankuo, additional, Yamamoto, Shuichi, additional, Yao, Shan-Jing, additional, Yu, Linling, additional, Zhang, Songping, additional, Zhang, Wei, additional, Zhang, Yuan, additional, and Zhao, Guofeng, additional

Published
2024
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15. Alcohol–salt interaction

Author

Leong, Hui Yi, primary, Chang, Chih-Kai, additional, Aung, Krisya Nicole Garcia, additional, Lin, Dong-Qiang, additional, and Show, Pau Loke, additional

Published
2023
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16. Contributors

Author

Ang, Zhi Ting, primary, Arshad, Zatul Iffah Mohd, additional, Aung, Krisya Nicole Garcia, additional, Bong, Kien Xiang, additional, Chai, Sophie Jing Nee, additional, Chai, Wai Siong, additional, Chang, Chih-Kai, additional, Cheah, Wai Yan, additional, Cheng, Chin Kui, additional, Rong Chew, Kah, additional, Chew, Kit Wayne, additional, Chia, Shir Reen, additional, Chia, Wen Yi, additional, Chong, Jun Wei Roy, additional, Devadas, Vishno Vardhan, additional, Duc, Nguyen Minh, additional, Fu, Xiao-Qian, additional, Hong, Teoh Rui, additional, Khoo, Kuan Shiong, additional, Koyande, Apurav Krishna, additional, Kuan, Wang Sze, additional, Lai, Shuet Fen, additional, Leong, Hui Yi, additional, Leong, Yoong Kit, additional, Lin, Dong-Qiang, additional, Liu, Xuwei, additional, Loo, Jia Rhen, additional, Shin Low, Sze, additional, Chee Lu, Hock, additional, Sie Ming, Jasmine Tiong, additional, Ng, Yan Jer, additional, Nomanbhay, Saifuddin, additional, Quah, Heam Boon, additional, Raguraman, Sridaran, additional, Sankaran, Revathy, additional, Show, Pau Loke, additional, Siau, Mei Yuen, additional, Tang, Malcom S.Y., additional, and Wan You, Kho, additional

Published
2023
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37. Realization of digital twin for dynamic control toward sample variation of ion exchange chromatography in antibody separation.

Author

Shi, Ce, Chen, Xu‐Jun, Zhong, Xue‐Zhao, Yang, Yan, Lin, Dong‐Qiang, and Chen, Ran

Abstract

Digital twin (DT) is a virtual and digital representation of physical objects or processes. In this paper, this concept is applied to dynamic control of the collection window in the ion exchange chromatography (IEC) toward sample variations. A possible structure of a feedforward model‐based control DT system was proposed. Initially, a precise IEC mechanistic model was established through experiments, model fitting, and validation. The average root mean square error (RMSE) of fitting and validation was 8.1% and 7.4%, respectively. Then a model‐based gradient optimization was performed, resulting in a 70.0% yield with a remarkable 11.2% increase. Subsequently, the DT was established by systematically integrating the model, chromatography system, online high‐performance liquid chromatography, and a server computer. The DT was validated under varying load conditions. The results demonstrated that the DT could offer an accurate control with acidic variants proportion and yield difference of less than 2% compared to the offline analysis. The embedding mechanistic model also showed a positive predictive performance with an average RMSE of 11.7% during the DT test under >10% sample variation. Practical scenario tests indicated that tightening the control target could further enhance the DT robustness, achieving over 98% success rate with an average yield of 72.7%. The results demonstrated that the constructed DT could accurately mimic real‐world situations and perform an automated and flexible pooling in IEC. Additionally, a detailed methodology for applying DT was summarized. [ABSTRACT FROM AUTHOR]

Published
2024
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