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Fahimeh Hooriabad Saboor

Researcher at University of Mohaghegh Ardabili

Publications -  13
Citations -  335

Fahimeh Hooriabad Saboor is an academic researcher from University of Mohaghegh Ardabili. The author has contributed to research in topics: Chemistry & Engineering. The author has an hindex of 5, co-authored 8 publications receiving 222 citations. Previous affiliations of Fahimeh Hooriabad Saboor include University of Tehran & Iran University of Science and Technology.

Papers
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Enhanced NO2 gas sensing performance of bare and Pd-loaded SnO2 thick film sensors under UV-light irradiation at room temperature

TL;DR: In this article, the performance of bare and Pd-loaded SnO 2 thick film sensors were measured under UV-light irradiation, using a UV-LED of 365nm wavelength and light intensities ranging from 0 to 137mW cm −2 at room temperature (30 °C).
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Ligand functionalized copper nanoclusters for versatile applications in catalysis, sensing, bioimaging, and optoelectronics

TL;DR: In this article, a review highlights the potential of copper nanoclusters and links synthetic procedures and functionalization with different ligands with their properties and applications, which can be found in catalysis, sensing, bioimaging, theranostics, and optoelectronics.
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Microemulsion synthesized silica/ZnO stable core/shell sensors highly selective to ethanol with minimum sensitivity to humidity

TL;DR: In this paper, a two-and-one-step microemulsion method was used for the detection of silica/ZnO core/shell and composite nanostructured sensors.
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Recent Advances in MOF-Based Adsorbents for Dye Removal from the Aquatic Environment

TL;DR: The metal-organic frameworks (MOFs) offer outstanding properties which can boost the separation performance over current commercial adsorbents and hence, these materials represent a milestone in improving treatment methods for dye removal from water as discussed by the authors .
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SnO2 decorated SiO2 chemical sensors: Enhanced sensing performance toward ethanol and acetone

TL;DR: In this paper, an ultrasonic-assisted deposition-precipitation method was used for highly sensitive and selective detection of ethanol and acetone in the breath of human, which is helpful in the diabetes diagnosis.