Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Abida Kausar is active.

Publication


Featured researches published by Abida Kausar.


Colloids and Surfaces B: Biointerfaces | 2013

Equilibrium, kinetic and thermodynamic studies on the removal of U(VI) by low cost agricultural waste

Abida Kausar; Haq Nawaz Bhatti; Gillian MacKinnon

In this research, biosorption efficiency of different agro-wastes was evaluated with rice husk showing maximum biosorption capacity among the selected biosorbents. Optimization of native, SDS-treated and immobilized rice husk adsorption parameters including pH, biosorbent amount, contact time, initial U(VI) concentration and temperature for maximum U(VI) removal was investigated. Maximum biosorption capacity for native (29.56 mg g(-1)) and immobilized biomass (17.59 mg g(-1)) was observed at pH 4 while SDS-treated biomass showed maximum removal (28.08 mg g(-1)) at pH 5. The Langmuir sorption isotherm model correlated best with the U(IV) biosorption equilibrium data for the 10-100 mg L(-1) concentration range. The kinetics of the reaction followed pseudo-second order kinetic model. Thermodynamic parameters like free energy (ΔG(0)) and enthalpy (ΔH°) confirmed the spontaneous and exothermic nature of the process. Experiments to determine the regeneration capacity of the selected biosorbents and the effect of competing metal ions on biosorption capacity were also conducted. The biomass was characterized using scanning electron microscopy, surface area analysis, Fourier transformed infra-red spectroscopy and thermal gravimetric analysis. The study proved that rice husk has potential to treat uranium in wastewater.


Desalination and Water Treatment | 2014

Prediction of optimum equilibrium and kinetic models for U(VI) sorption onto rice husk: comparison of linear and nonlinear regression methods∗

Abida Kausar; Haq Nawaz Bhatti; Raja Adil Sarfraz; Muhammad Shahid

AbstractThe use of empirical models in the research is a vital part of the inventions and investigations of civil and environmental engineering organizations. Linear regression is the most commonly used method for optimization and parameter estimation of different equilibrium and kinetic models for sorption. In addition, the usage of this analysis can be extended to a range of nonlinear error functions, subsequently in consent to broader mathematical approach to parameter estimation. The sorption behavior of U(VI) ions from aqueous solution was studied with untreated, treated, and immobilized rice husk by conducting batch-mode sorption experiments. The equilibrium experimental data were fitted to the Freundlich, Langmuir and Redlich–Peterson isotherms by linear and nonlinear regression methods. Kinetic modeling of U(VI) ions removal was also done using linear and nonlinear pseudo-first and second-order rate expressions. In the case of nonlinear regression method, six error functions, namely hybrid fractio...


Journal of Plant Nutrition | 2013

POTASSIUM AND CALCIUM UPTAKE IN MASHBEAN UNDER LEAD AND CHROMIUM STRESS

M. Sajid Aqeel Ahmad; Mumtaz Hussain; Ambreen Khadihja Alvi; Abida Kausar

Plants of two mashbean genotypes were exposed to 20 or 40 mg L−1 of lead (Pb) or chromium (Cr) along with controls in a completely randomized design (CRD). Application of both metals (lead and chromium) caused a significant reduction in all growth parameters as compared with control. In addition, severe inhibition in potassium (K+) and calcium (Ca2+) uptake was observed with the increasing concentration of both metals in the root medium. Chromium was more toxic in reducing both cations as compared to same dose of lead. Overall, Pb and Cr contents of the root, stem and leaves increased under both metal stresses. In addition, both metals mainly accumulated in the aerial plant parts (stem and leaves).


Agronomie | 2003

Alleviation of salt stress in pearl millet (Pennisetum glaucum (L.) R. Br.) through seed treatments

Muhammad Ashraf; Abida Kausar; Muhammad Yasin Ashraf


Archive | 2012

EVALUATION OF SORGHUM VARIETIES/LINES FOR SALT TOLERANCE USING PHYSIOLOGICAL INDICES AS SCREENING TOOL

Abida Kausar; M. Yasin Ashraf; Iftikhar Ali; Mubashir Niaz; Qaiser Abbass


Archive | 2014

SOME PHYSIOLOGICAL AND GENETIC DETERMINANTS OF SALT TOLERANCE IN SORGHUM (SORGHUM BICOLOR (L.) MOENCH): BIOMASS PRODUCTION AND NITROGEN METABOLISM

Abida Kausar; M. Yasin Ashraf; Mubashir Niaz


Desalination and Water Treatment | 2016

Sequestering of uranium (VI) onto eucalyptus bark: kinetic, equilibrium and thermodynamic studies

Jamal Mustafa; Abida Kausar; Haq Nawaz Bhatti; Sadia Ilyas


Pakistan Journal of Botany | 2009

DEVELOPMENT OF GENETIC LINKAGE MAP OF LEAF RED COLOUR IN COTTON (GOSSYPIUM HIRSUTUM) USING DNA MARKERS

Iftikhar Ali; Muhammad Ashraf; Mehboob-ur-Rehman; Yusuf Zafar; Muhammad Asif; Abida Kausar; Sana Riaz; Mubashir Niaz; Abdul Wahid; S. Q. Abbas


Journal of The Taiwan Institute of Chemical Engineers | 2016

Re-use of agricultural wastes for the removal and recovery of Zr(IV) from aqueous solutions

Abida Kausar; Haq Nawaz Bhatti; Gillian MacKinnon


Archive | 2015

EVALUATION OF WHEAT GENOTYPES FOR SALINITY TOLERANCE USING PHYSIOLOGICAL INDICES AS SCREENING TOOL

Sara Zafar; M. Yasin Ashraf; Mubashir Niaz; Abida Kausar; Jafar Hussain

Collaboration


Dive into the Abida Kausar's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

M. Yasin Ashraf

Nuclear Institute for Agriculture and Biology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Iftikhar Ali

University of Agriculture

View shared research outputs
Top Co-Authors

Avatar

Abdul Wahid

University of Agriculture

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Ismat Bibi

University of Agriculture

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Muhammad Yasin Ashraf

Nuclear Institute for Agriculture and Biology

View shared research outputs
Top Co-Authors

Avatar

S. Q. Abbas

COMSATS Institute of Information Technology

View shared research outputs
Researchain Logo
Decentralizing Knowledge