| dc.contributor.author |
Viegas, R.M. C.
|
pt_BR |
| dc.contributor.author |
Silva, C.
|
pt_BR |
| dc.contributor.author |
Manaia, C
|
pt_BR |
| dc.contributor.author |
Faria, G.
|
pt_BR |
| dc.contributor.author |
Costa, C.
|
pt_BR |
| dc.contributor.author |
Rosa, M. J.
|
pt_BR |
| dc.date.accessioned |
2025-06-06T13:12:53Z |
pt_BR |
| dc.date.accessioned |
2025-07-21T12:50:11Z |
|
| dc.date.available |
2025-06-06T13:12:53Z |
pt_BR |
| dc.date.available |
2025-07-21T12:50:11Z |
|
| dc.date.issued |
2025-04 |
pt_BR |
| dc.identifier.uri |
http://dspace2.lnec.pt:8080/jspui/handle/123456789/1018652 |
pt_BR |
| dc.identifier.uri |
http://repositorio.lnec.pt:8080/jspui/handle/123456789/1018652 |
|
| dc.description.abstract |
The current analytical and monitoring systems for detecting trace contaminants of emerging concern (CECs), such as pharmaceutical compounds (PhCs) and antimicrobial resistance (AMR), are expensive and time-consuming, posing challenges for routine apᆳplication in wastewater treatment plants (WWTPs) and water quality monitoring. These limitations hinder real-time decision-making and operational efficiency. |
pt_BR |
| dc.language.iso |
eng |
pt_BR |
| dc.publisher |
EDS |
pt_BR |
| dc.rights |
openAccess |
pt_BR |
| dc.subject |
Smart monitoring |
pt_BR |
| dc.subject |
Contaminants of emerging concern |
pt_BR |
| dc.subject |
Projection to latent structures regression |
pt_BR |
| dc.title |
Smart monitoring of contaminants of emerging concern in wastewater treatment |
pt_BR |
| dc.type |
conferenceObject |
pt_BR |
| dc.description.pages |
1p. |
pt_BR |
| dc.identifier.local |
Porto |
pt_BR |
| dc.description.sector |
DHA/NES |
pt_BR |
| dc.identifier.conftitle |
Desalination for the Environment: Clean Water and Energy |
pt_BR |
| dc.contributor.peer-reviewed |
NAO |
pt_BR |
| dc.contributor.academicresearchers |
NAO |
pt_BR |
| dc.contributor.arquivo |
SIM |
pt_BR |