Green waste and sewage sludge feeding ratio alters co-composting performance: Emphasis on the role of bacterial community during humification

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Green waste and sewage sludge feeding ratio alters co-composting performance : Emphasis on the role of bacterial community during humification. / Zhang, Zejin; Duan, Changqun; Liu, Yuxian; Li, Anning; Hu, Xi; Chen, Jingkun; Zhang, Song; Li, Xin; Che, Rongxiao; Li, Shiyu; Ekelund, Flemming; Cui, Xiaoyong.

In: Bioresource Technology, Vol. 380, 129014, 2023.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Zhang, Z, Duan, C, Liu, Y, Li, A, Hu, X, Chen, J, Zhang, S, Li, X, Che, R, Li, S, Ekelund, F & Cui, X 2023, 'Green waste and sewage sludge feeding ratio alters co-composting performance: Emphasis on the role of bacterial community during humification', Bioresource Technology, vol. 380, 129014. https://doi.org/10.1016/j.biortech.2023.129014

APA

Zhang, Z., Duan, C., Liu, Y., Li, A., Hu, X., Chen, J., Zhang, S., Li, X., Che, R., Li, S., Ekelund, F., & Cui, X. (2023). Green waste and sewage sludge feeding ratio alters co-composting performance: Emphasis on the role of bacterial community during humification. Bioresource Technology, 380, [129014]. https://doi.org/10.1016/j.biortech.2023.129014

Vancouver

Zhang Z, Duan C, Liu Y, Li A, Hu X, Chen J et al. Green waste and sewage sludge feeding ratio alters co-composting performance: Emphasis on the role of bacterial community during humification. Bioresource Technology. 2023;380. 129014. https://doi.org/10.1016/j.biortech.2023.129014

Author

Zhang, Zejin ; Duan, Changqun ; Liu, Yuxian ; Li, Anning ; Hu, Xi ; Chen, Jingkun ; Zhang, Song ; Li, Xin ; Che, Rongxiao ; Li, Shiyu ; Ekelund, Flemming ; Cui, Xiaoyong. / Green waste and sewage sludge feeding ratio alters co-composting performance : Emphasis on the role of bacterial community during humification. In: Bioresource Technology. 2023 ; Vol. 380.

Bibtex

@article{64c56559e0f847cb8ca2052cd560ba2d,
title = "Green waste and sewage sludge feeding ratio alters co-composting performance: Emphasis on the role of bacterial community during humification",
abstract = "Composting with five levels of green waste and sewage sludge was compared to examine how feeding ratios affected composting performance with special focus on humification, and the underlying mechanisms. The results showed that the raw material ratio persistently affected compost nutrients and stability. Humification and mineralization were promoted by higher proportion of sewage sludge. Bacterial community composition and within-community relationships were also significantly affected by the raw material feeding ratio. Network analysis indicated that clusters 1 and 4 which dominated by Bacteroidetes, Proteobacteria, and Acidobacteria shown significantly positive correlation with humic acid concentration. Notably, the structural equational model and variance partitioning analysis demonstrated that bacterial community structure (explained 47.82% of the variation) mediated the effect of raw material feeding ratio on humification, and exceeded the effect of environmental factors (explained 19.30% of the variation) on humic acid formation. Accordingly, optimizing the composting raw material improves the composting performance.",
keywords = "Bacterial community, Functional group, Humic acid, Network analysis, Organic waste",
author = "Zejin Zhang and Changqun Duan and Yuxian Liu and Anning Li and Xi Hu and Jingkun Chen and Song Zhang and Xin Li and Rongxiao Che and Shiyu Li and Flemming Ekelund and Xiaoyong Cui",
note = "Publisher Copyright: {\textcopyright} 2023",
year = "2023",
doi = "10.1016/j.biortech.2023.129014",
language = "English",
volume = "380",
journal = "Bioresource Technology",
issn = "0960-8524",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Green waste and sewage sludge feeding ratio alters co-composting performance

T2 - Emphasis on the role of bacterial community during humification

AU - Zhang, Zejin

AU - Duan, Changqun

AU - Liu, Yuxian

AU - Li, Anning

AU - Hu, Xi

AU - Chen, Jingkun

AU - Zhang, Song

AU - Li, Xin

AU - Che, Rongxiao

AU - Li, Shiyu

AU - Ekelund, Flemming

AU - Cui, Xiaoyong

N1 - Publisher Copyright: © 2023

PY - 2023

Y1 - 2023

N2 - Composting with five levels of green waste and sewage sludge was compared to examine how feeding ratios affected composting performance with special focus on humification, and the underlying mechanisms. The results showed that the raw material ratio persistently affected compost nutrients and stability. Humification and mineralization were promoted by higher proportion of sewage sludge. Bacterial community composition and within-community relationships were also significantly affected by the raw material feeding ratio. Network analysis indicated that clusters 1 and 4 which dominated by Bacteroidetes, Proteobacteria, and Acidobacteria shown significantly positive correlation with humic acid concentration. Notably, the structural equational model and variance partitioning analysis demonstrated that bacterial community structure (explained 47.82% of the variation) mediated the effect of raw material feeding ratio on humification, and exceeded the effect of environmental factors (explained 19.30% of the variation) on humic acid formation. Accordingly, optimizing the composting raw material improves the composting performance.

AB - Composting with five levels of green waste and sewage sludge was compared to examine how feeding ratios affected composting performance with special focus on humification, and the underlying mechanisms. The results showed that the raw material ratio persistently affected compost nutrients and stability. Humification and mineralization were promoted by higher proportion of sewage sludge. Bacterial community composition and within-community relationships were also significantly affected by the raw material feeding ratio. Network analysis indicated that clusters 1 and 4 which dominated by Bacteroidetes, Proteobacteria, and Acidobacteria shown significantly positive correlation with humic acid concentration. Notably, the structural equational model and variance partitioning analysis demonstrated that bacterial community structure (explained 47.82% of the variation) mediated the effect of raw material feeding ratio on humification, and exceeded the effect of environmental factors (explained 19.30% of the variation) on humic acid formation. Accordingly, optimizing the composting raw material improves the composting performance.

KW - Bacterial community

KW - Functional group

KW - Humic acid

KW - Network analysis

KW - Organic waste

U2 - 10.1016/j.biortech.2023.129014

DO - 10.1016/j.biortech.2023.129014

M3 - Journal article

C2 - 37028527

AN - SCOPUS:85153080159

VL - 380

JO - Bioresource Technology

JF - Bioresource Technology

SN - 0960-8524

M1 - 129014

ER -

ID: 345516289