| 陈克诚,侯天保,李梦婷,李竺乘,刘家华,赵润,杨鹏.小球藻净化猪沼液全周期氮磷含量近红外光谱模型构建[J].农业环境科学学报,2025,44(2):509-517. |
| 小球藻净化猪沼液全周期氮磷含量近红外光谱模型构建 |
| Construction of a near-infrared spectroscopy model for monitoring nitrogen and phosphorus content during the entire purification cycle of pig slurry using Chlorella vulgaris |
| 投稿时间：2024-04-23 |
| DOI：10.11654/jaes.2024-0347 |
| 中文关键词: 近红外光谱 猪场沼液 小球藻 氮磷含量 偏最小二乘法 |
| 英文关键词: near-infrared spectroscopy pig farm biogas slurry chlorella nitrogen and phosphorus content partial least squares method |
| 基金项目:天津市农业产学研用“揭榜挂帅”项目（GBTG202305）；宁夏农业关键核心技术攻关项目；天津市现代农业产业技术体系项目（ITTPRS2021009） |
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| 中文摘要: |
| 针对缺乏小球藻净化猪沼液全周期氮磷含量动态变化监测近红外模型的问题，本研究以小球藻净化猪沼液试验中收集到的660个沼液样品为研究对象，运用近红外光谱技术结合主成分分析、偏最小二乘法等化学计量学方法，构建基于近红外光谱的猪场沼液净化全过程氮磷含量监测通用模型。优选最佳预处理方法分别建立了小球藻净化猪沼液全周期总氮（TN）、氨氮（NH4+-N）和总磷（TP）含量监测通用模型。结果表明，沼液氨氮模型预测性能良好，其预测均方根误差（RMSEP）、决定系数（Rp2）和相对分析误差（RPD）分别为 35.273 mg·L-1、0.794 和 2.202。沼液总氮模型的 RMSEP、Rp2和 RPD 分别为 45.275 mg·L-1、0.711 和1.854，沼液总磷模型的 RMSEP、Rp2和 RPD分别为 1.148 mg·L-1、0.727和 1.915，模型可用于定量预测。研究表明，近红外预测值与实测值随培养时间的变化趋势具有较好的一致性，可实现小球藻净化猪沼液全周期氮磷含量的实时监测。 |
| 英文摘要: |
| 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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