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Plastic particles and fluorescent brightener co-modify Chlorella pyrenoidosa photosynthesis and a machine learning approach predict algae growth

  • Yaodan Dai
  • , Zhi Guo*
  • , Rui Deng
  • , Lele Li
  • , Kangping Cui
  • , Tao Pan
  • , Yaodan Dai
  • , Zhi Guo*
  • , Lele Li
  • , Tao Pan
  • , Xingpan Guo*
  • , Ting Fan
  • *此作品的通讯作者
  • Hefei University of Technology
  • Anhui Institute of Ecological Civilization
  • East China Normal University
  • Anhui Agricultural University

科研成果: 期刊稿件文章同行评审

摘要

Global release of plastics exerts various impacts on the ecological cycle, particularly on primary photosynthesis, while the impacts of plastic additives are unknown. As a carrier of fluorescent brightener, plastic particles co-modify Chlorella pyrenoidosa (C. pyrenoidosa) growth and its photosynthetic parameters. In general, adding to the oxidative damage induced by polystyrene, fluorescent brightener-doped polystyrene produces stronger visible light and the amount of negative charge is more likely to cause photodamage in C. pyrenoidosa leading to higher energy dissipation through conditioning than in the control group with a date of ETR (II) inhibition rate of 33 %, Fv/Fm inhibition rate of 8.3 % and Pm inhibition rate of 48.8 %. To elucidate the ecological effect of fluorescent brightener doping in plastic particles, a machine learning method is performed to establish a Gradient Boosting Machine model for predicting the impact of environmental factors on algal growth. Upon validation, the model achieved an average fitting degree of 88 %. Relative concentration of plastic particles and algae claimed the most significant factor by interpretability analysis of the machine learning. Additionally, both Gradient Boosting Machine prediction and experimental results indicate a matching result that plastic additives have an inhibitive effect on algal growth.

源语言英语
文章编号135406
期刊Journal of Hazardous Materials
477
DOI
出版状态已出版 - 15 9月 2024
已对外发布

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