Metal-organic frameworks for pesticidal persistent organic pollutants detection and adsorption - a mini review
The global population growth demands intensification of anthropogenic processes, thus leading to inter alia pollution of both land and aquatic environments with toxic organic compounds. Particularly harmful synthetic compounds are classified as persistent organic pollutants (POPs). Their relatively...
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/161799 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-161799 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1617992022-09-20T06:20:29Z Metal-organic frameworks for pesticidal persistent organic pollutants detection and adsorption - a mini review Wagner, Michal Lin, Andrew Kun-Yi Oh, Wen-Da Lisak, Grzegorz School of Civil and Environmental Engineering Nanyang Environment and Water Research Institute Engineering::Environmental engineering Detection Adsorption The global population growth demands intensification of anthropogenic processes, thus leading to inter alia pollution of both land and aquatic environments with toxic organic compounds. Particularly harmful synthetic compounds are classified as persistent organic pollutants (POPs). Their relatively high chemical resistance resulted in a worldwide ban or strict control on the use of POPs. The majority of POPs were commonly used as pesticides, and unfortunately, some of them are still utilized as an aid in agricultural practices. Therefore, environmental monitoring in terms of reliable detection and quantification of pesticidal POPs is an ever-increasing need. Chemical sensors and adsorption materials crafted for specific pesticide operate on host-guest interactions should provide selectivity and sensitivity, thus leading to the detection of target molecule down to the nanomolar range. This could be achieved with materials exhibiting a very large active surface area, well-defined structure, and high stability. The novel materials studied in that context are metal-organic frameworks (MOFs). The structure of various MOFs can be functionalized to provide desired host-guest interactions. In this mini-review, we critically discuss the application of MOFs for the detection and adsorption of selected pesticides that are classified as POPs according to the Stockholm Convention. 2022-09-20T06:20:29Z 2022-09-20T06:20:29Z 2021 Journal Article Wagner, M., Lin, A. K., Oh, W. & Lisak, G. (2021). Metal-organic frameworks for pesticidal persistent organic pollutants detection and adsorption - a mini review. Journal of Hazardous Materials, 413, 125325-. https://dx.doi.org/10.1016/j.jhazmat.2021.125325 0304-3894 https://hdl.handle.net/10356/161799 10.1016/j.jhazmat.2021.125325 33601143 2-s2.0-85101042396 413 125325 en Journal of hazardous materials © 2021 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::Environmental engineering Detection Adsorption |
spellingShingle |
Engineering::Environmental engineering Detection Adsorption Wagner, Michal Lin, Andrew Kun-Yi Oh, Wen-Da Lisak, Grzegorz Metal-organic frameworks for pesticidal persistent organic pollutants detection and adsorption - a mini review |
description |
The global population growth demands intensification of anthropogenic processes, thus leading to inter alia pollution of both land and aquatic environments with toxic organic compounds. Particularly harmful synthetic compounds are classified as persistent organic pollutants (POPs). Their relatively high chemical resistance resulted in a worldwide ban or strict control on the use of POPs. The majority of POPs were commonly used as pesticides, and unfortunately, some of them are still utilized as an aid in agricultural practices. Therefore, environmental monitoring in terms of reliable detection and quantification of pesticidal POPs is an ever-increasing need. Chemical sensors and adsorption materials crafted for specific pesticide operate on host-guest interactions should provide selectivity and sensitivity, thus leading to the detection of target molecule down to the nanomolar range. This could be achieved with materials exhibiting a very large active surface area, well-defined structure, and high stability. The novel materials studied in that context are metal-organic frameworks (MOFs). The structure of various MOFs can be functionalized to provide desired host-guest interactions. In this mini-review, we critically discuss the application of MOFs for the detection and adsorption of selected pesticides that are classified as POPs according to the Stockholm Convention. |
author2 |
School of Civil and Environmental Engineering |
author_facet |
School of Civil and Environmental Engineering Wagner, Michal Lin, Andrew Kun-Yi Oh, Wen-Da Lisak, Grzegorz |
format |
Article |
author |
Wagner, Michal Lin, Andrew Kun-Yi Oh, Wen-Da Lisak, Grzegorz |
author_sort |
Wagner, Michal |
title |
Metal-organic frameworks for pesticidal persistent organic pollutants detection and adsorption - a mini review |
title_short |
Metal-organic frameworks for pesticidal persistent organic pollutants detection and adsorption - a mini review |
title_full |
Metal-organic frameworks for pesticidal persistent organic pollutants detection and adsorption - a mini review |
title_fullStr |
Metal-organic frameworks for pesticidal persistent organic pollutants detection and adsorption - a mini review |
title_full_unstemmed |
Metal-organic frameworks for pesticidal persistent organic pollutants detection and adsorption - a mini review |
title_sort |
metal-organic frameworks for pesticidal persistent organic pollutants detection and adsorption - a mini review |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/161799 |
_version_ |
1745574664288075776 |