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Prediction of chemical oxygen demand in biogas slurry based on near infrared spectroscopy
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Jialing Qiu1, Zhiyu Xu2, Yuanfeng Sun2, Li He3, Chengxiang Ru4, Yunhong Zhang3, Huanhuan Wei1, Tingguang Dai5, Qingyu Liu1
Renewable Energy Resources | 2025, 43(5) : 585 - 592
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Renewable Energy Resources | 2025, 43(5): 585-592
Prediction of chemical oxygen demand in biogas slurry based on near infrared spectroscopy
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Jialing Qiu1, Zhiyu Xu2, Yuanfeng Sun2, Li He3, Chengxiang Ru4, Yunhong Zhang3, Huanhuan Wei1, Tingguang Dai5, Qingyu Liu1
Affiliations
  • 1 College of Engineering Shenyang Agricultural University Shenyang 110866 China
  • 2 Rural Energy and Environment Agency Ministry of Agriculture and Rural Affairs Beijing 100125 China
  • 3 Biogas Institute Ministry of Agriculture and Rural Affairs Chengdu 610041 China
  • 4 College of Chemistry Sichuan University Chengdu 610064 China
  • 5 Chaoyang Bureau of Agriculture and Rural Affairs Chaoyang 122000 China
Published: 2025-05-20
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The article first collects near infrared spectra and corresponding COD mass concentrations of standard water samples containing Cl, Br, and NO2. Subsequently, the optimal combination of nearinfrared characteristic wavelengths is determined using the interval random frog algorithm, and a COD mass concentration prediction model for highconcentration inorganic anion digestate is established via partial least squares regression. Finally, the model is applied to predict COD mass concentrations in actual biogas slurry. The results show that the determination coefficients (R2) of the COD prediction models for standard water samples with added Cl, Br¯, and NO2 are 0.98, 0.99, and 0.99, respectively, with relative prediction deviations (RPD) of 8.89, 8.95, and 11.75, respectively. For the COD prediction models in biogas slurry, the R² values are 0.77, 0.95, and 0.76, respectively, and the RPD values are 2.23, 5.02, and 2.19, respectively. The model effectively extracts spectral features from nearinfrared data of COD in highconcentration inorganic anion biogas slurry.

near infrared prediction model  /  biogas slurry  /  chemical oxygen demand  /  inorganic reducing anion
Jialing Qiu, Zhiyu Xu, Yuanfeng Sun, Li He, Chengxiang Ru, Yunhong Zhang, Huanhuan Wei, Tingguang Dai, Qingyu Liu. Prediction of chemical oxygen demand in biogas slurry based on near infrared spectroscopy[J]. Renewable Energy Resources, 2025 , 43 (5) : 585 -592 .
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Article Info
  • Receive Date：2023-10-30
  • Online Date：2025-07-16
  • Published：2025-05-20
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  • Received：2023-10-30
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Affiliations
    1 College of Engineering Shenyang Agricultural University Shenyang 110866 China
    2 Rural Energy and Environment Agency Ministry of Agriculture and Rural Affairs Beijing 100125 China
    3 Biogas Institute Ministry of Agriculture and Rural Affairs Chengdu 610041 China
    4 College of Chemistry Sichuan University Chengdu 610064 China
    5 Chaoyang Bureau of Agriculture and Rural Affairs Chaoyang 122000 China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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