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基于 EEM/PARAFAC 结合投影寻踪回归的堆肥过程中植物毒性等级评估。

Assessment of phytotoxicity grade during composting based on EEM/PARAFAC combined with projection pursuit regression.

机构信息

College of Life Science, Northeast Agricultural University, Harbin 150030, China.

Environmental Monitoring Center of Heilongjiang Province, China.

出版信息

J Hazard Mater. 2017 Mar 15;326:10-17. doi: 10.1016/j.jhazmat.2016.09.059. Epub 2016 Dec 11.

DOI:10.1016/j.jhazmat.2016.09.059
PMID:27987445
Abstract

Improper treatment of organic waste may result in environmental pollution and harm to plant growth due to the high concentration of phytotoxin. Composting has widely been used for recycling organic waste and reducing phytotoxin to improve soil properties. Assessing the phytotoxicity grades of compost products is essential for achieving high quality compost to guarantee its marketability. In this study, a technique combined parallel factor (PARAFAC) of excitation-emission matrices (EEMs) spectroscopy with projection pursuit regression (PPR) was applied to improve the sensitivity of phytotoxicity assessment during composting. Results showed that composting reduced the concentration of phytotoxin, and increased the germination index (GI). Composts were divided into four grades based on GI values. Five components containing simple DOM (component C1 and C2) and complex DOM (component C3-C5) were successfully developed by PARAFAC. Correlation analysis between phytotoxicity, chemical indices and fluorescence components demonstrated that C1, C4, complex DOM, and the ratio of simple/complex DOM components were more suitable to assess phytotoxicity of composting products. These results revealed that PARAFAC/PPR enabled a rapid and accurate method to assess the phytotoxicity of compost materials for composting plant.

摘要

有机废物处理不当可能会导致环境污染和植物生长受损,因为其中含有高浓度的植物毒素。堆肥广泛用于回收有机废物和降低植物毒素,以改善土壤性质。评估堆肥产品的植物毒性等级对于实现高质量的堆肥以保证其市场竞争力至关重要。在本研究中,采用平行因子分析(PARAFAC)与投影寻踪回归(PPR)相结合的技术,应用于堆肥过程中的植物毒性评估,以提高其灵敏度。结果表明,堆肥可以降低植物毒素浓度,提高发芽指数(GI)。根据 GI 值将堆肥分为四个等级。通过 PARAFAC 成功开发了包含简单 DOM(组分 C1 和 C2)和复杂 DOM(组分 C3-C5)的 5 个组分。植物毒性、化学指标和荧光组分之间的相关性分析表明,C1、C4、复杂 DOM 以及简单/复杂 DOM 组分的比值更适合评估堆肥产品的植物毒性。这些结果表明,PARAFAC/PPR 可以实现一种快速准确的方法来评估堆肥材料的植物毒性,适用于堆肥植物。

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