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27 results on '"Tan, Zheng Lin"'

4. A method to standardize the temperature for near infrared spectra of the indigo pigment in non-dairy cream based on symbolic regression.

Author

Zhang, Yun, Liu, Jun, Tan, Zheng Lin, and Jiang, Ming Yi

Subjects
NEAR infrared spectroscopy, TEMPERATURE, ALGORITHMS, DATA, REGRESSION analysis
Abstract

Near infrared (NIR) spectroscopy is sensitive to physical conditions such as sample temperature, meaning that rapid detection methods based on NIR spectroscopy are significantly influenced by temperature. To address this challenge, symbolic regression was employed to mitigate the effects of temperature. The Weighted Windowed Adaptive Optimization algorithm was proposed and combined with the Sequential Projection Algorithm to extract temperature-related feature points and remove redundant data. Subsequent 3D modeling of these feature points revealed that absorbance alterations due to temperature comprised two distinct segments. Consequently, based on symbolic regression, the temperature standardization algorithm was devised to generate piecewise equations. This algorithm surpassed genetic programming and non-segmented methods in performance metrics. The piecewise function equations generated by the algorithm were used to regress the absorbance at different temperatures to the standard temperature. Non-dairy cream, with different indigo pigment contents, was temperature standardized using a piecewise function to obtain spectra at two standard temperatures; 18°C and 28°C. The r2 for the quantitative regression model improved from 0.71 to 0.95 at 18°C and from 0.63 to 0.85 at 28°C. The temperature standardization method offers interpretable equations for spectra that model the complex changes with temperature, factoring out the temperature variation, thereby facilitating the practical use of NIR spectroscopy in rapid detection applications. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Micro-cultivation system in microbiology: Frontiers and Prospects

Author

Tan, Zheng Lin

Subjects
modularised cultivation system, micro-cultivation system, microfluidic systems, microbial cells cultivation, automated cultivation system
Abstract

Microbial cells cultivation is not only the origin, but also the foundation of microbiology. Researches in microbiology can only be carried out when the microbial cells can be cultured. However, conventional microbial cell cultivation is not only time consuming and labour intensive, but human error is also inevitable. Recent years, automated, modularised microbial cells micro-cultivation systems with small volume, good controllability, and equipped with real-time monitoring system have attracted great attention in microbiology. This review presents the state-of-the-art micro-cultivation systems which are implemented in microbial cells cultivation. The key development, applications of various system classified based on their construction, and the prospects of micro-cultivation system are discussed and insights into them are also provided.

Published
2019

17. Cover Image

Author

Jian, Xingjin, primary, Guo, Xiaojie, additional, Wang, Jia, additional, Tan, Zheng Lin, additional, Xing, Xin‐hui, additional, Wang, Liyan, additional, and Zhang, Chong, additional

Published
2020
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