错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Deep Learning-Based Tracking System for Detecting Toxic Elements in Water to Protect Public Health

  • Jamal Mabrouki,
  • Mohammed Benchrifa,
  • Karima Azoulay,
  • Imane Bencheikh,
  • Mourade Azrour,
  • Hajar Raji

摘要

Microorganisms are to blame for contaminating water resources, toxic substances or industrial waste. It can be found in rivers, aquifers and brackish bodies of water, as well as in rain water, dew, salt water, snow and arctic pack oceans. Bio sensing techniques based on cell growth use the full range of existing cytotoxic response to external inputs, via a to indicate the toxicity of aquatic targets. These bio-detection techniques can provide an effective means of indicating the water’s toxicity to the safety of humans and the environment and health of marine organisms. The substantial increase in the level of pollutants entering fresh water requires rapid and accurate methods to monitoring the aqueous environment and detection of water aquatic aquatic poisoning. In this project, we review the recent evolution of current water biosensing techniques based on cell culture quality assessment, explain their major properties and capabilities, and the prospects for development in the coming years.