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Fast characterization of biodiesel via a combination of ATR-FTIR and machine learning models

  • 【作者】Chao Chen,Rui Liang,Shaige Xia,Donghao Hou,Boré Abdoulaye,Junyu Tao,Beibei Yan,Zhanjun Cheng,Guanyi Chen
  • 【作者单位】1School of Environmental Science and Engineering, Tianjin University, Tianjin 300350, China;2School of Mechanical Engineering, Tianjin University of Commerce, Tianjin 300134, China;3Tianjin Key Lab of Biomass Wastes Utilization/Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin 300072, China;4School of Science, Tibet University, Lhasa 850012, China
  • 【年份】2023
  • 【卷号】Vol.332 Part 2
  • 【页码】126177
  • 【ISSN】0016-2361
  • 【关键词】Biodiesel Fuel properties ATR-FTIR Machine learning 
  • 【摘要】 This study proposed a fast characterization method for biodiesel based on attenuated total reflection flourier-transform infrared spectroscopy and machine learning models. The concerning characteristics of biodiesel include unsaturated group content,...
  • 【文献类型】 期刊
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