Keyword search (4,163 papers available)

"carbon nanotubes" Keyword-tagged Publications:

Title Authors PubMed ID
1 Improved electrical performance of PDMS and PEDOT: PSS composites with MWCNT and AgNP particles Shafagh SH; Deen I; Packirisamy M; 41424586
ENCS
2 PEDOT:PSS-MWCNT Nanocomposite Wire for Routing in Energy Harvesting Devices Shafagh SH; Deen I; Mamsapuram Panneerselvam D; Packirisamy M; 40283259
ENCS
3 Carbon based sensors for air quality monitoring networks; middle east perspective Shahid I; Shahzad MI; Tutsak E; Mahfouz MMK; Al Adba MS; Abbasi SA; Rathore HA; Asif Z; Chen Z; 38831915
ENCS
4 Investigating the flexural behavior of nanomodified multi-delaminated composites using acoustic emission technique Alimirzaei S; Barbaz-Isfahani R; Khodaei A; Najafabadi MA; Sadighi M; 38241972
ENCS
5 Macromolecularly Engineered Thermoreversible Heterogeneous Self-Healable Networks Encapsulating Reactive Multidentate Block Copolymer-Stabilized Carbon Nanotubes Zhang G; Patel T; Nellepalli P; Bhagat S; Hase H; Jazani AM; Salzmann I; Ye Z; Oh JK; 33988899
CHEMBIOCHEM
6 Electrochemical efficacy of a carboxylated multiwalled carbon nanotube filter for the removal of ibuprofen from aqueous solutions under acidic conditions. Bakr AR, Rahaman MS 27035389
MASSSPEC
7 Reduction-Responsive Sheddable Carbon Nanotubes Dispersed in Aqueous Solution. An SY, Sun S, Oh JK 26890479
CNSR

 

Title:Carbon based sensors for air quality monitoring networks; middle east perspective
Authors:Shahid IShahzad MITutsak EMahfouz MMKAl Adba MSAbbasi SARathore HAAsif ZChen Z
Link:https://pubmed.ncbi.nlm.nih.gov/38831915/
DOI:10.3389/fchem.2024.1391409
Publication:Frontiers in chemistry
Keywords:IoT sensors networkair qualitycarbon nanotubesnanomaterialssensors
PMID:38831915 Category: Date Added:2024-06-04
Dept Affiliation: ENCS
1 Environmental Science Centre, Qatar University, Doha, Qatar.
2 Department of Meteorology, COMSATS University Islamabad, Islamabad, Pakistan.
3 Department of Statistics, College of Arts and Science, Qatar University, Doha, Qatar.
4 College of Pharmacy, QU Health, Qatar University, Doha, Qatar.
5 Department of Engineering, University of New Brunswick, Saint John, NB, Canada.
6 Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC, Canada.

Description:

IoT-based Sensors networks play a pivotal role in improving air quality monitoring in the Middle East. They provide real-time data, enabling precise tracking of pollution trends, informed decision-making, and increased public awareness. Air quality and dust pollution in the Middle East region may leads to various health issues, particularly among vulnerable populations. IoT-based Sensors networks help mitigate health risks by offering timely and accurate air quality data. Air pollution affects not only human health but also the region's ecosystems and contributes to climate change. The economic implications of deteriorated air quality include healthcare costs and decreased productivity, underscore the need for effective monitoring and mitigation. IoT-based data can guide policymakers to align with Sustainable Development Goals (SDGs) related to health, clean water, and climate action. The conventional monitor based standard air quality instruments provide limited spatial coverage so there is strong need to continue research integrated with low-cost sensor technologies to make air quality monitoring more accessible, even in resource-constrained regions. IoT-based Sensors networks monitoring helps in understanding these environmental impacts. Among these IoT-based Sensors networks, sensors are of vital importance. With the evolution of sensors technologies, different types of sensors materials are available. Among this carbon based sensors are widely used for air quality monitoring. Carbon nanomaterial-based sensors (CNS) and carbon nanotubes (CNTs) as adsorbents exhibit unique capabilities in the measurement of air pollutants. These sensors are used to detect gaseous pollutants that includes oxides of nitrogen and Sulphur, and ozone, and volatile organic compounds (VOCs). This study provides comprehensive review of integration of carbon nanomaterials based sensors in IoT based network for better air quality monitoring and exploring the potential of machine learning and artificial intelligence for advanced data analysis, pollution source identification, integration of satellite and ground-based networks and future forecasting to design effective mitigation strategies. By prioritizing these recommendations, the Middle East and other regions, can further leverage IoT-based systems to improve air quality monitoring, safeguard public health, protect the environment, and contribute to sustainable development in the region.





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