Fine-tuning selective layer architecture of hydrogel membrane towards high separation performances for engineered osmosis

Ultrathin and/or ultrasmooth selective layer is one of the paramount goals in membrane realm for maximizing separation efficiency and/or minimizing fouling tendency. Towards this goal, the architecture of hydrogel selective layer is finely tuned for the first time for improving engineered osmosis (E...

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Main Authors: Qin, Detao, Liu, Zhaoyang, Bai, Hongwei, Song, Xiaoxiao, Li, Zhengtao, Sun, Darren Delai
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/139711
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1397112021-01-08T02:43:33Z Fine-tuning selective layer architecture of hydrogel membrane towards high separation performances for engineered osmosis Qin, Detao Liu, Zhaoyang Bai, Hongwei Song, Xiaoxiao Li, Zhengtao Sun, Darren Delai School of Civil and Environmental Engineering Interdisciplinary Graduate School (IGS) Energy Research Institute @ NTU (ERI@N) Engineering::Civil engineering Engineered Osmosis Hydrogel Membrane Ultrathin and/or ultrasmooth selective layer is one of the paramount goals in membrane realm for maximizing separation efficiency and/or minimizing fouling tendency. Towards this goal, the architecture of hydrogel selective layer is finely tuned for the first time for improving engineered osmosis (EO) membrane performance. Through delicately controlling synthesis parameters, ultrathin selective layer as thin as 30 nm, and ultrasmooth selective layer with sub-1 nm roughness (the smoothest EO membrane in literature) are successfully synthesized respectively. Analysis of reverse osmosis (RO) experimental results reveals hydrogel layer resistance to water permeation is linearly reduced by 1.40 × 1013 m−1 as the layer is tailored thinner per 10 nm, which leads to the remarkable enhancement of water permeability by ~10 times from 0.49 L m−2 h−1 bar−1 of 500 nm thickness to 4.75 L m−2 h−1 bar−1 of 30 nm thickness. Pressure-retarded osmosis (PRO) and forward osmosis (FO) tests indicate 45-nm-thick hydrogel layer achieves the maximum separation efficiency in terms of specific water flux (JW/JS). Moreover, the mechanism for tuning hydrogel layer architecture is discussed on the basis of microscopic characterizations. This study sheds new light on ultrathin and ultrasmooth selective layer for promoting EO membrane to smartly tackle different kinds of wastewater. 2020-05-21T04:19:39Z 2020-05-21T04:19:39Z 2019 Journal Article Qin, D., Liu, Z., Bai, H., Song, X., Li, Z., & Sun, D. D. (2019). Fine-tuning selective layer architecture of hydrogel membrane towards high separation performances for engineered osmosis. Journal of Membrane Science, 592, 117370-. doi:10.1016/j.memsci.2019.117370 0376-7388 https://hdl.handle.net/10356/139711 10.1016/j.memsci.2019.117370 2-s2.0-85070723537 592 en Journal of Membrane Science © 2019 Elsevier B.V. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Engineered Osmosis
Hydrogel Membrane
spellingShingle Engineering::Civil engineering
Engineered Osmosis
Hydrogel Membrane
Qin, Detao
Liu, Zhaoyang
Bai, Hongwei
Song, Xiaoxiao
Li, Zhengtao
Sun, Darren Delai
Fine-tuning selective layer architecture of hydrogel membrane towards high separation performances for engineered osmosis
description Ultrathin and/or ultrasmooth selective layer is one of the paramount goals in membrane realm for maximizing separation efficiency and/or minimizing fouling tendency. Towards this goal, the architecture of hydrogel selective layer is finely tuned for the first time for improving engineered osmosis (EO) membrane performance. Through delicately controlling synthesis parameters, ultrathin selective layer as thin as 30 nm, and ultrasmooth selective layer with sub-1 nm roughness (the smoothest EO membrane in literature) are successfully synthesized respectively. Analysis of reverse osmosis (RO) experimental results reveals hydrogel layer resistance to water permeation is linearly reduced by 1.40 × 1013 m−1 as the layer is tailored thinner per 10 nm, which leads to the remarkable enhancement of water permeability by ~10 times from 0.49 L m−2 h−1 bar−1 of 500 nm thickness to 4.75 L m−2 h−1 bar−1 of 30 nm thickness. Pressure-retarded osmosis (PRO) and forward osmosis (FO) tests indicate 45-nm-thick hydrogel layer achieves the maximum separation efficiency in terms of specific water flux (JW/JS). Moreover, the mechanism for tuning hydrogel layer architecture is discussed on the basis of microscopic characterizations. This study sheds new light on ultrathin and ultrasmooth selective layer for promoting EO membrane to smartly tackle different kinds of wastewater.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Qin, Detao
Liu, Zhaoyang
Bai, Hongwei
Song, Xiaoxiao
Li, Zhengtao
Sun, Darren Delai
format Article
author Qin, Detao
Liu, Zhaoyang
Bai, Hongwei
Song, Xiaoxiao
Li, Zhengtao
Sun, Darren Delai
author_sort Qin, Detao
title Fine-tuning selective layer architecture of hydrogel membrane towards high separation performances for engineered osmosis
title_short Fine-tuning selective layer architecture of hydrogel membrane towards high separation performances for engineered osmosis
title_full Fine-tuning selective layer architecture of hydrogel membrane towards high separation performances for engineered osmosis
title_fullStr Fine-tuning selective layer architecture of hydrogel membrane towards high separation performances for engineered osmosis
title_full_unstemmed Fine-tuning selective layer architecture of hydrogel membrane towards high separation performances for engineered osmosis
title_sort fine-tuning selective layer architecture of hydrogel membrane towards high separation performances for engineered osmosis
publishDate 2020
url https://hdl.handle.net/10356/139711
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