Alpha test 1 robotic platform for traditional Chinese medicine pretreatment: Automated modular integration and quality control applications.

Journal: SLAS technology
Published Date:

Abstract

Sample pretreatment plays an important role in analytical performance, but it is often the rate-limiting step in scientific research. With the development of automation technology, automated sample preparation has become a powerful tool for liberating labor and improving efficiency. In this study, the automatic pretreatment of traditional Chinese medicine test was realized by module combination, and an intelligent robotic platform Alpha Test 1 was developed to decompose the complex preparation method of traditional Chinese medicine into automatic modular components. It includes a multi-channel liquid feeding device, an extraction bottle device, a reflux condensing pipe ring, a reflux extraction and a water bath extraction device. Each module is connected through modular combinations such as liquid injection control, intelligent sorting, and water bath condensation, and the difficulty of manual operation is gradually tackled to achieve the goal of replacing manual labor in the pretreatment process. We selected two representative traditional Chinese medicines, Xianglian Pills and Erzhi Pills, to explore their application in the testing of traditional Chinese medicine. The results of Alpha Test 1 in the identification and content determination met the requirements of Chinese Pharmacopoeia, and the operation was simple, rapid and efficient compared with the manual pretreatment method. This method can meet the requirements of daily laboratory testing and provide technical support for the quality control evaluation and testing of traditional Chinese medicine.

Authors

  • Lifei Gu
    Shenzhen Institute for Drug Control, Shenzhen, Guangdong, 518057, China; NMPA Key Laboratory for Quality Research and Evaluation of Traditional Chinese Medicine, Shenzhen Institute for Drug Control, Shenzhen, Guangdong, 518057, China.
  • Jiaxin Ma
  • Lina Zeng
    College of Resources and Environmental Engineering/College of Life Sciences, Guizhou University, Guiyang 550025, China.
  • Junyao Li
    School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou, China; School of Life Sciences, Huaiyin Normal University, Huaian, 223300, China; Institute of Translational Medicine, School of Medicine, Yangzhou University, Yangzhou, 225009, China.
  • Bing Wang
    Computer Science & Engineering Department at the University of Connecticut.
  • Chang Su
    Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut.
  • Shuhong Wang
    Shenzhen Institute for Drug Control, Shenzhen, Guangdong, 518057, China; NMPA Key Laboratory for Quality Research and Evaluation of Traditional Chinese Medicine, Shenzhen Institute for Drug Control, Shenzhen, Guangdong, 518057, China. Electronic address: wangshuhongszyj@163.com.