下一代无氧消化生物炭:全球趋势,多机制增强和人工智能驱动的前景
Minyu Suo1, Lingxiu Liu2, Yujia Li2
1Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, Zhejiang Collaborative Innovation Center for Full-Process Monitoring and Green Governance of Emerging Contaminants, Interdisciplinary Research Academy, Zhejiang Shuren University, Hangzhou, 310015, China; College of Geography and Environmental Science, Zhejiang Normal University, Jinhua, 321004, China.
Journal of environmental management
|February 13, 2026
概括
生物炭的添加增强了无氧消化以获得可再生能源. 研究表明,中国在全球产量方面处于领先地位,需要人工智能驱动的优化来克服废物转化为能源的生物炭应用中的挑战.
科学领域:
- 环境科学 环境科学
- 生物技术是生物技术.
- 化学工程是化学工程的重要组成部分.
背景情况:
- 生物炭添加到无氧消化 (AD) 是有机废物利用和可再生能源生产的关键策略.
- 该领域已经从专注于可行性发展到探索稳定性和电子转移机制.
研究的目的:
- 在AD研究中对生物炭进行文献分析 (2008-2024) 并批判性地评估现有的评论.
- 确定研究趋势,知识差距,并提出未来的研究方向,包括人工智能集成.
主要方法:
- 使用CiteSpace和VOSviewer对636篇研究文章进行了图书统计分析.
- 对298篇关于生物炭的现有评论论文进行了批判性审查.
- 综合当前关于物理化学权衡和电子转移机制的学术辩论.
主要成果:
- 中国主导着全球研究产出 (63.84%),其核心作者网络推动了生产力.
- 研究趋势显示,从可行性转向稳定性和电子转移机制,预测优化存在差距.
- 增强的电子传输可能来自协同导电性和氧化还原性质,而不仅仅是导电性.
结论:
- 关于AD中的生物炭存在重大研究,但预测过程优化仍然是一个差距.
- 解决非线性剂量反应和扩展需要转向数据驱动的策略.
- 整合人工智能模型可以提高AD中的生物炭工程应用的可预测性.
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