Dairy Safety Prediction Based on Machine Learning Combined with Chemicals.

Journal: Medicinal chemistry (Shariqah (United Arab Emirates))
PMID: 31584377

Abstract

BACKGROUND: Dairy safety has caused widespread concern in society. Unsafe dairy products have threatened people's health and lives. In order to improve the safety of dairy products and effectively prevent the occurrence of dairy insecurity, countries have established different prevention and control measures and safety warnings.

Authors

  • Jiahui Chen
    Molecular Analytics and Photonics (MAP) Lab, Program of Polymer and Color Chemistry, Department of Textile Engineering, Chemistry and Science, North Carolina State University, 1020 Main Campus Drive, Raleigh, NC, 27606, USA.
  • Guangya Zhou
    School of Life Sciences, Shanghai University, Shanghai 200444, China.
  • Jiayang Xie
    School of Life Sciences, Shanghai University, Shanghai, 200444, China.
  • Minjia Wang
    School of Life Sciences, Shanghai University, Shanghai 200444, China.
  • Yanting Ding
    School of Life Sciences, Shanghai University, Shanghai 200444, China.
  • Shuxian Chen
    Guang Xi Institute for Food and Drug Control, Nannin, 530021, China.
  • Sijing Xia
    School of Life Sciences, Shanghai University, Shanghai 200444, China.
  • Xiaojun Deng
    School of Computer Science, Hunan University of Technology, Zhuzhou, China.
  • Qin Chen
    School of Life Sciences, Shanghai University, Shanghai 200444, China. Electronic address: chenqincc@edu.cn.
  • Bing Niu
    College of Life Science, Shanghai University, 99 Shang-Da Road, Shanghai 200444, China.

Keywords

External Resources

Popular Topics
Recent Journals