Recent Advances of Biosensors for Detection of Multiple Antibiotics.

Journal: Biosensors
Published Date:

Abstract

The abuse of antibiotics has caused a serious threat to human life and health. It is urgent to develop sensors that can detect multiple antibiotics quickly and efficiently. Biosensors are widely used in the field of antibiotic detection because of their high specificity. Advanced artificial intelligence/machine learning algorithms have allowed for remarkable achievements in image analysis and face recognition, but have not yet been widely used in the field of biosensors. Herein, this paper reviews the biosensors that have been widely used in the simultaneous detection of multiple antibiotics based on different detection mechanisms and biorecognition elements in recent years, and compares and analyzes their characteristics and specific applications. In particular, this review summarizes some AI/ML algorithms with excellent performance in the field of antibiotic detection, and which provide a platform for the intelligence of sensors and terminal apps portability. Furthermore, this review gives a short review of biosensors for the detection of multiple antibiotics.

Authors

  • Ning Lu
    Key Laboratory of Food Quality and Safety of Guangdong Province, College of Food Science, South China Agricultural University, Guangzhou, 510642, China.
  • Juntao Chen
    School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
  • Zhikang Rao
    School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
  • Boyu Guo
    School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
  • Ying Xu
    School of Biological and Food Engineering Changzhou University Changzhou Jiangsu China.