为研究填料对农村污水厌氧滤池启动运行效能,以核桃壳MC和毛毡核桃壳复合填料AC为填料,研究厌氧滤池在水力停留时间18h,温度30±3℃下处理效能,利用三维荧光分析溶解性有机物DOM转化特征,并以高通量测序解析系统菌群结构。结果表明AC在19天后COD去除率为83.8%±1.5%,AC对COD和SS去除性能优于MC。三维荧光光谱显示进DOM以色氨酸蛋白和溶解性微生物代谢产物为主,出水DOM荧光峰强度降低,AC对DOM削减量高于MC。启动完成后Macellibacteroides、Clostridium sensu stricto和Syntrophomonas在AC为核心功能菌属,其相对丰度高于MC,AC和MC中主要产甲烷菌为Methanoregula,Methanolinea,Methanosphaerula和Methanospirillum,在AC中相对丰度高于MC。为快速启动厌氧滤池处理农村污水提供参考依据。
Dandelion root contains triterpenoids,polyphenols and flavonoids,dandelion leaf is rich in polyphenols,flavonoids,flavonoids glycosides,and dandelion flower mainly contains flavonoids,among other substances.These different substance content leads to specific benefits and function effects of each part.Fourier transform infrared spectroscopy,three-dimensional fluorescence spectroscopy and related multivariate statistical methods are widely used to determine sample characteristics,but limited research focuses on the substance difference and characteristics in dandelion tissues.In this paper,Fourier transform infrared spectra-principal component analysis and three-dimensional fluorescence spectroscopy-parallel factor analysis were conveyed to analyze dandelion stem,leaf,root and flower tissue extracts,for determining the substance species and content difference among dandelion tissues and evaluating the discrimination capacity of these analysis methods.The Fourier transform infrared spectroscopy of root was distinct from others,and the two principal component models could distinguish dandelion stem and flower,but failed to differentiate leaf and root;while the excitation and emission matrix showed that stem and flower,leaf and root had similar intensity band distribution but different fluorescence intensity,and the parallel factor analysis results proved that one-and threecomponent models cannot differentiate the tissues of stem and flower,leaf and root,since the fluorescent compounds(polyphenol,flavonoid etc.)structure and content were similar in different tissues.These results indicated that Fourier transform infrared-principal component analysis might be a useful method when various fluorescent compounds exist.
