摘要
为探究在线近红外光谱仪对堆肥全过程含水率、pH值、电导率、有机质质量分数、总碳质量分数、总氮质量分数和碳氮比等关键参数进行实时分析的可行性,以采集的60个堆肥全过程样品为研究对象,利用在线近红外光谱仪、结合偏最小二乘法,建立了有机肥堆肥过程中含水率、pH值、电导率、有机质质量分数、总碳质量分数、总氮质量分数和碳氮比的近红外定量分析模型。研究结果显示:在线近红外光谱仪可实现堆肥全过程上述关键参数的速测(RSD<10%),其中,含水率和总氮质量分数的R_(2C)和R_(PD)分别为0. 94和3. 62、0. 92和3. 14,模型效果优秀; pH值、总碳质量分数和碳氮比的R_(2C)和R_(PD)分别为0. 90和1. 89、0. 83和2. 12、0. 82和2. 15,模型效果良好;电导率和有机质质量分数的R_(2C)和R_(PD)分别为0. 79和1. 85、0. 80和1. 93,模型效果一般,模型精度有待提高。各参数近红外预测值与实际测量值之间的偏差很小,并且近红外预测值与实际测量值随堆肥时间的变化趋势具有较好的一致性。
Livestock and poultry manure may result in significant environmental challenges. Meanwhile, it is an advantageous raw material for the production of organic fertilizer due to the rich nutrients such as organic matter, nitrogen, phosphorus and potassium. Aerobic composting is an effective way to solve the livestock manure pollution problem and realize utilization of this valuable resource. However, composting is an extremely complex process of physical and chemical changes. Online detection tools of the key parameters are important for both composting process control and organic fertilizer quality assurance. Aiming to investigate the feasibility of online near infrared (NIR) spectrometer to conduct real-time analysis of moisture content (MC), pH value, electrical conductivity (EC), organic matter (OM), total carbon (TC), total nitrogen (TN) and carbon to nitrogen (C/N ratio) ratio in the whole composting process and evaluate its ability to accurately predict these changes. Totally 60 samples in the whole composting process were collected. The NIR quantitative analysis models of MC, pH value, EC, OM, TC, TN and C/N ratio were established by using the online NIR spectrometer combined with partial least square method. The research results showed that the online NIR spectrometer can realize the rapid detection of key parameters in the whole composting process ( R SD <10%), with excellent predictions for MC and TN with R 2 C and R PD value of 0.94 and 3.62, 0.92 and 3.14, respectively, good predictions for pH value, TC and C/N ratio with R 2 C and R PD value of 0.90 and 1.89, 0.83 and 2.12, 0.82 and 2.15, respectively, approximate predictions for EC and OM with R 2 C and R PD value of 0.79 and 1.85, 0.80 and 1.93, respectively;the deviation between the NIR-predicted and measured values of each parameter was small, the NIR predictions were in good agreement with measured values as the composting process progressed. The above research results laid the foundation for realizing the process analysis of organic fertilizer pr
作者
杨增玲
黄圆萍
沈广辉
梅佳琪
韩鲁佳
YANG Zengling;HUANG Yuanping;SHEN Guanghui;MEI Jiaqi;HAN Lujia(College of Engineering,China Agricultural University,Beijing 100083,China)
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2019年第5期356-361,384,共7页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家奶牛产业技术体系项目(CARS36)
教育部创新团队发展计划项目(IRT-17R105)
关键词
堆肥
关键参数
过程分析
在线近红外光谱
composting
key parameters
process analysis
online near infrared spectroscopy
