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          美國布魯克海文儀器公司>技術(shù)文章>測量應(yīng)用案例-20220807

          技術(shù)文章

          測量應(yīng)用案例-20220807

          閱讀:71          發(fā)布時間:2022-8-15

          文獻(xiàn)名:Enhancement of sewage sludge dewaterability by fungal conditioning with Penicillium simplicissimum NJ12: From bench- to pilot-scale consecutive multi-batch investigations 

           

          作者 Neng Tao, Xiu Wu, Feng Zhang, Zilei Pi, Jiaqi Wen, Di Fang, Lixiang Zhou

          Nanjing Agricultural University

           

          摘要:Bench- and pilot-scale successive multi-batch trials were conducted to investigate the performance and sustainability of fungal conditioning with Penicillium simplicissimum NJ12 for improving sludge dewatering. The dominant factors affecting the sludge dewaterability improvement by P. simplicissimum NJ12 were also identified. Fungal treatment with P. simplicissimum NJ12 at a volume fraction of 5% of the inoculum greatly improved the sludge dewaterability. This improvement was characterized by sharp decreases in the specific resistance to filtration from 1.97 × 10 13 to 3.52 × 10 11 m/kg and capillary suction time from 32 to 12 s within 3 days. Stepwise multiple linear regression analysis showed that a marked decrease (58.8%) in the protein content in slime extracellular polymeric substances and an increase in the zeta potential of the sludge (from − 35 to − 10 mV) were the most important factors that improved the dewaterability of sludge after fungal treatment. Consecutive processes of fungal treatment could be realized by recirculating the fungal-treated sludge with a recycling rate of 1:2 (Vbiotreated sludge/Vtotal sludge ). The treatment effectiveness was maintained only over three successive cycles, but replenishment with fresh P. simplicissimum NJ12 would be provided periodically at set batch intervals. These findings demonstrate the possibility of P. simplicissimum NJ12-assisted fungal treatment for enhancing sludge dewatering.

           

          關(guān)鍵詞:Fungal treatment, Penicillium simplicissimum, Sewage sludge, Dewatering, Stepwise multiple linear regression, Zeta potential, Protein

           

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