scispace - formally typeset
G

G. N. Dar

Researcher at University of Kashmir

Publications -  48
Citations -  1400

G. N. Dar is an academic researcher from University of Kashmir. The author has contributed to research in topics: Carbon nanotube & Doping. The author has an hindex of 14, co-authored 42 publications receiving 964 citations. Previous affiliations of G. N. Dar include Najran University & University of Patras.

Papers
More filters
Journal ArticleDOI

Removal of heavy metal ions from aqueous system by ion-exchange and biosorption methods

TL;DR: In this paper, the technical feasibility of biosorption and ion exchange methods for the removal of various heavy metals from the aqueous media is reviewed, where chemical pretreatment of low-cost biosorbents are presented.
Journal ArticleDOI

Synthesis and Characterization of Iron Oxide Nanoparticles for Phenyl Hydrazine Sensor Applications

TL;DR: In this article, the synthesis, characterization and chemical sensing properties of iron oxide (-Fe2O3) nanoparticles were reported and a high sensitivity of 57.88 Am M −1 cm −2 with an experimental detection limit of 97 M.
Journal ArticleDOI

Ce-doped ZnO nanorods for the detection of hazardous chemical

TL;DR: In this article, a successful synthesis, characterizations and an efficient chemical sensor application of as-synthesized Ce-doped ZnO nanorods were reported, which were used as an effective electron mediator for the fabrication of an efficient hydroquinone chemical sensor.
Journal ArticleDOI

Growth and properties of Ag-doped ZnO nanoflowers for highly sensitive phenyl hydrazine chemical sensor application.

TL;DR: It can be concluded that Ag-doped ZnO nanoflowers could be an effective candidate for the fabrication of phenyl hydrazine chemical sensors due to high sensitivity and low-detection limit.
Journal ArticleDOI

Ultra-high sensitive ammonia chemical sensor based on ZnO nanopencils.

TL;DR: To the best of the knowledge, by comparing the literature, it is confirmed that the fabricated sensor based on ZnO nanopencils exhibits highest sensitivity and lowest detection limit for liquid ammonia.