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| Construction of a near-infrared spectroscopy model for monitoring nitrogen and phosphorus content during the entire purification cycle of pig slurry using Chlorella vulgaris |
| Received:April 23, 2024 |
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| KeyWord:near-infrared spectroscopy;pig farm biogas slurry;chlorella;nitrogen and phosphorus content;partial least squares method |
| Author Name | Affiliation | E-mail | | CHEN Kecheng | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191 China | | | HOU Tianbao | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191 China | | | LI Mengting | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191 China | | | LI Zhucheng | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191 China | | | LIU Jiahua | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191 China | | | ZHAO Run | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191 China | | | YANG Peng | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191 China | yp15926@163.com |
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| Abstract: |
| In view of the lack of a near-infrared model for monitoring the dynamic changes of nitrogen and phosphorus content in pig biogas slurry purified by chlorella, 660 biogas slurry samples collected in a chlorella biogas slurry purification experiment were used as research objects, and near-infrared spectroscopy combined with principal component analysis, partial least squares and other stoichiometric methods were applied. A general model for monitoring nitrogen and phosphorus content in the whole process of pig farm biogas slurry purification based on near-infrared spectroscopy was established. A general model for monitoring the total nitrogen（TN）, ammonia nitrogen （NH4+-N）, and total phosphorus（TP）content of porcine biogas slurry purified by chlorella was established, respectively. The results show that the prediction performance of the biogas slurry NH4+-N model is good. The root mean squared error of prediction（RMSEP）, coefficient of determination（Rp2）, and residual predictive deviation（RPD）were 35.273 mg·L-1, 0.794, and 2.202, respectively. The RMSEP, Rp2, and RPD of TN model of biogas slurry were 45.275 mg·L-1, 0.711 and 1.854, respectively, and the RMSEP, Rp2, and RPD of TP model were 1.148 mg·L-1, 0.727, and 1.915, respectively, which could be used for quantitative prediction. The results showed that the near-infrared predicted value and the measured value had a good consistency with the culture time, which could realize the real-time monitoring of nitrogen and phosphorus content in the whole cycle of porcine biogas slurry purified by chlorella. |
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