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1.
China Journal of Chinese Materia Medica ; (24): 5701-5706, 2023.
Article in Chinese | WPRIM | ID: wpr-1008768

ABSTRACT

The application of new-generation information technologies such as big data, the internet of things(IoT), and cloud computing in the traditional Chinese medicine(TCM)manufacturing industry is gradually deepening, driving the intelligent transformation and upgrading of the TCM industry. At the current stage, there are challenges in understanding the extraction process and its mechanisms in TCM. Online detection technology faces difficulties in making breakthroughs, and data throughout the entire production process is scattered, lacking valuable mining and utilization, which significantly hinders the intelligent upgrading of the TCM industry. Applying data-driven technologies in the process of TCM extraction can enhance the understanding of the extraction process, achieve precise control, and effectively improve the quality of TCM products. This article analyzed the technological bottlenecks in the production process of TCM extraction, summarized commonly used data-driven algorithms in the research and production control of extraction processes, and reviewed the progress in the application of data-driven technologies in the following five aspects: mechanism analysis of the extraction process, process development and optimization, online detection, process control, and production management. This article is expected to provide references for optimizing the extraction process and intelligent production of TCM.


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Medicine, Chinese Traditional , Drugs, Chinese Herbal , Quality Control , Big Data , Algorithms
2.
Chinese Journal of Analytical Chemistry ; (12): 1415-1419, 2017.
Article in Chinese | WPRIM | ID: wpr-610756

ABSTRACT

The monitoring of total toxicity of water is of great importance to guarantee the safety of drinking water and estimate the level of water pollution from multiple pollutants.Here, we reported an online equipment for monitoring toxicity of water, where in-site cultured microorganisms were used as the test organism and respiratory inhibition of microorganisms was regarded as the toxicity response.A three-electrode electrochemical detector was integrated in the equipment, where an array electrode composed of microsized Pt disks, a Ag/AgCl (3 mol/L KCl) electrode and a gold wire were used as the working, reference and counter electrodes, respectively.The average respiratory inhibition ratios obtained with this equipment for 5.0, 10.0, 20.0 mg/L 3,5-dichlorophenol (DCP) were 24.4%, 48.9% and 59.2%, respectively.The equipment was further used for continuous online monitoring of the total toxicity of underground water, and successfully showed the toxicity alarm when challenged randomly by toxicity samples containing 5.0 mg/L DCP.The present results suggested the good promise of the equipment in online monitoring of water total toxicity.

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