Identification of cariogenic bacteria by click chemistry mediated polyethylene glycolized graphyne nanozymes.

Journal: Mikrochimica acta
Published Date:

Abstract

Dental caries, one of the most common oral diseases, is mainly induced by multiple cariogenic bacteria in the oral microenvironment, so it is important to construct a method that can identify oral multiply cariogenic bacteria. Herein, a machine learning assisted colorimetric sensing array has been constructed by using polyethylene glycolized graphyne nanozymes, which have been firstly prepared through click chemistry to enhance the peroxidase-like catalytic activity and stability. Taking advantage of different interactions between cariogenic bacteria and polyethylene glycolized graphyne nanozymes, the sensing array can well identify ten oral cariogenic bacteria and their binary and ternary complexes by linear discriminant analysis algorithm. In view of its high accuracy to analyze the spiked artificial saliva samples, the developed colorimetric sensing array owns a great potential for the diagnosis of dental caries.

Authors

  • Lelin Qian
    Center for Molecular Recognition and Biosensing, Joint International Research Laboratory of Biomaterials and Biotechnology in Organ Repair, Ministry of Education, Shanghai Engineering Research Center of Organ Repair, Shanghai Key Laboratory of Bioenergy Energy Crops, School of Life Sciences, Shanghai University, Shanghai, 200444, China.
  • Zhangli Yu
    Center for Molecular Recognition and Biosensing, Joint International Research Laboratory of Biomaterials and Biotechnology in Organ Repair, Ministry of Education, Shanghai Engineering Research Center of Organ Repair, Shanghai Key Laboratory of Bioenergy Energy Crops, School of Life Sciences, Shanghai University, Shanghai, 200444, China.
  • Yuan Zhang
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Jingyi Huang
    School of Economics and Management, Shanghai University of Sport, Shanghai, China.
  • Daixin Ye
    College of Sciences & Institute for Sustainable Energy, Shanghai University, Shanghai, 200444, People's Republic of China. daixinye@shu.edu.cn.
  • Lili Niu
    NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Juan Zhang
    Guangdong R & D Center for Technological Economy RM. 802, Guangzhou, Guangdong, P.R. China.