Abstract:Based on metabolomics method, ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) was used to screen potential biomarkers of subsurface infiltration systems under different organic loads. The samples were typed by partial least squares (PLS-DA) and principal component analysis (PCA) pattern recognition methods, and potential biomarkers were screened according to the model's variable importance factor (VIP). Furthermore, biological information involved in metabolites and metabolic pathways were revealed. Finally, correlation between metabolites and environmental factors was explored by RDA analysis. The results of PLS-DA model showed that when the influent organic load gradually increased from 250mg/L to 400mg/L and 500mg/L, there was a significant difference between the metabolites in the same soil profile. A total of 230differential metabolites with a VIP value greater than 1.5 were screened out, which were mainly composed of organic acids, such as lactic acid, tartronic acid, dioleoylphosphatidic acid. The microbial metabolites had a significant correspondence with the soil profile. Under the condition of hydraulic load 0.14m3/(m2·d) and COD 400mg/L, 53metabolites with a VIP value greater than 1.5 were screened out from H2 (500mm), H4 (1000mm) and H6 (1500mm), respectively, which was mainly composed of acid and ketone substances, such as 6-Hydroxyondansetron sulfate, 19-Norandrosterone glucuronide and Methylcarbamyl PAF C-8. The results of RDA suggested that with the variation of pollution load and substrate profile, metabolites were negatively influenced by oxidation reduction potential (ORP) and nitrate (NO3-).
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