微塑料领域的人工智能:当前进展,挑战和可持续前景
Mei Xintong1, Zhu Taiyu2, Zhong Bo3
1Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Journal of hazardous materials
|January 28, 2026
概括
人工智能 (AI) 正在通过解决表征和环境行为解释方面的挑战来彻底改变微塑料 (MP) 分析. 生态意识的AI方法对于可持续的微塑料研究至关重要.
科学领域:
- 环境科学 环境科学
- 分析化学 分析化学
- 计算机科学 计算机科学
背景情况:
- 微塑料 (MP) 是持续的全球污染物,但由于分析局限性,它们的环境行为和生态影响尚不清楚.
- 目前用于描述国会议员的方法面临重大挑战,阻碍了机械洞察力.
研究的目的:
- 批判性地审查微塑料分析的挑战和人工智能 (AI) 在这个领域的新兴应用.
- 检查AI驱动的微塑料研究方法的可靠性,概括性和伦理考虑.
主要方法:
- 对现有关于微塑料分析和人工智能应用的文献进行批判性审查.
- 检查MP表征技术中的方法限制.
- 对数据可访问性,计算资源,环境成本和与国会议员研究中的AI相关的伦理困境的分析.
主要成果:
- 人工智能提供强大的计算和数据处理能力,以推进微塑料分析.
- 在数据可访问性,计算资源以及人工智能的环境/道德影响方面仍然存在挑战.
- 人工智能驱动的方法看起来很有希望,但需要对可靠性和通用性进行仔细审查.
结论:
- 需要向"生态意识的人工智能"转变范式,平衡生态责任与计算效率.
- 跨学科的合作对于将人工智能可持续地纳入微塑料研究至关重要.
- 未来的研究必须考虑可持续的微塑料管理的环境,经济和社会因素.
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