Hydrophobic Capillary Ceramic-Membrane Contactor for Recovering Ammonia from Sludge Hydrolysate

was not contaminated by organic matter. Throughout the entire operation process, the contact angle of the membrane remained above 129.6°. This study provides a theoretical basis and practical reference for recovering ammonia using a hydrophobic capillary ceramic-membrane contactor in SH.

Authors

Institutions

Publication Details

Journal
Membranes
Published
2026-04-01
DOI
https://doi.org/10.3390/membranes16040140
Primary Topic
Membrane Separation Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hydrophobic Capillary Ceramic-Membrane Contactor for Recovering Ammonia from Sludge Hydrolysate

Kaiyun Fu, Ping Luo, Mengfei Liu, shiji Sun et al.
Membranes
Membrane Separation Technologies
article

Hydrophobic Capillary Ceramic-Membrane Contactor for Recovering Ammonia from Sludge Hydrolysate

Kaiyun Fu, Ping Luo, Mengfei Liu, shiji Sun, Minghui Qiu, Xianfu Chen, Dawei Gong
article en

Abstract

was not contaminated by organic matter. Throughout the entire operation process, the contact angle of the membrane remained above 129.6°. This study provides a theoretical basis and practical reference for recovering ammonia using a hydrophobic capillary ceramic-membrane contactor in SH.

MembranesVol. 16(4)
Nanjing Tech University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Clean water and sanitation
Openalex Percentile: Top 36%
Membrane Separation Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.