Scientific Research

@article{nokey,

title = {The Opportunities and Challenges of Using Nanomaterials as Photocatalysts for the Degradation of Environmental Pollutants},

author = {Jamshid Khan, Israf Ud Din, Abdulrahman I. Alharthi,Mshari A. Alotaibi, Qazi Nasir & Khalid Thebo},

url = {https://doi.org/10.1080/02603594.2025.2451829},

doi = {https://doi.org/10.1080/02603594.2025.2451829},

year  = {2025},

date = {2025-01-22},

journal = {Comments on Inorganic Chemistry},

issue = {1},

pages = {46},

abstract = {Environmental contamination, particularly resulting from industrial effluents, presents considerable risks to human health and aquatic ecosystems. Photocatalysis, a light-driven process effective in degrading a wide range of pollutants, is increasingly recognized for its potential to mitigate these contaminants. The application of nanomaterials, owing to their adjustable characteristics, provides promising advancements in photocatalysis under both ultraviolet and visible light, primarily through the suppression of charge carrier recombination. This review rigorously investigates various categories of nanomaterials—metal oxides, metal nanoparticles, carbon-based materials, and composites—as photocatalysts for the degradation of pollutants, concentrating on their operational mechanisms, effectiveness, and influencing factors in practical applications. By methodically scrutinizing recent progress and obstacles, we underscore critical domains where nanomaterials enhance photocatalytic efficiency, encompassing water splitting and the treatment of industrial wastewater. The objective is to furnish insights into prospective research trajectories that may facilitate the development of advanced environmental remediation technologies.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Effects of Ni Loadings on the Structure and Morphology of Carbon Nanotubes Using Nickel Doped Iron Oxide Catalysts},

author = {Habiba Gul, Muhammad Bilal, Tasleem Hussain, Israf Ud Din, Muhammad Mubashir, Qazi Nasir

},

url = {https://doi.org/10.1002/slct.202402285},

doi = {https://doi.org/10.1002/slct.202402285},

year  = {2024},

date = {2024-10-08},

journal = {ChemistrySelect},

volume = {9},

issue = {38},

pages = {2365-6549},

abstract = {Iron oxide and their different doped iron oxide catalyst have been used for decades and are considered as efficient catalysts in several synthesis schemes including synthesis of carbon nanotubes. The iron oxide of the catalyst is abundant in nature, high catalytic activity at low over potentials, stability in basic media and low cost, making it environmentally and economically attractive. Nickel doped iron oxide catalyst have not been reported in the literature. Doping of nickel over iron oxide catalyst, different percentage 1 %, 5 %, 10 % and 20 % were done by impregnation method. The samples were characterized by X-Ray powder Diffraction (XRD), Fourier-Transform Infrared Spectroscopy (FTIR), Scanning Electron Microscope (SEM), Energy Dispersive X-ray (EDX) and Thermo Gravimetric Analysis (TGA). Nickel doped iron oxide was used as catalyst for the synthesis of carbon nanotubes (CNTs) and doping changed the morphology of carbon nanotube (CNTs). FTIR results confirmed the doping and presence of different functional groups. Chemical vapor deposition (CVD) was carried out for the synthesis of multiwall carbon nanotubes (MWCNTs) on nickel doped iron oxide catalyst for different percentage (1 %, 5 %, 10 % and 20 %) separately. CVD assembly was carried in tube furnace and the reaction was checked at two different temperature i.e 700 °C and 750 °C and using methane and compressed natural gas (CNG) as precursors. The catalyst was activated in the furnace at 800 °C for an hour. Methane and argon were used in proportion 2 : 1 inside the furnace. SEM showed formation of CNTs at 750 °C with CNG precursor. Formation of CNTs increased with increasing doping with this CNTs was confirmed by SEM.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Application of machine learning on hydrate formation prediction of pure components with water and inhibitors solution},

author = {Qazi Nasir, Humbul Suleman, Wameath S. Abdul Majeed

},

url = {https://doi.org/10.1002/cjce.25291},

doi = {https://doi.org/10.1002/cjce.25291},

year  = {2024},

date = {2024-05-06},

journal = {The Canadian Journal of Chemical Engineering},

volume = {102},

issue = {11},

pages = {3953},

abstract = {The present work investigates the use of machine learning approaches for the prediction of hydrate formation pressure (HFP) in gas hydrate systems. Advanced machine learning models, including the decision tree regressor (DTR), random forest regressor (RFR), extreme gradient boosting (XGB), gradient boosting regressor (GBR), histogram gradient boosting regressor (HGBR), and CatBoost regressor (CB), are trained and evaluated on a large dataset consists of 3137 experimental data points. The models are evaluated using R-squared (R2), mean squared error (MSE), mean absolute error (MAE), and root mean squared error (RMSE). The study indicates that for the intent of HFP prediction, CatBoost outperformed all other machine learning models. It demonstrated high accuracy on the testing set with an R2 value of 0.9922, and with the lowest RMSE (1.61 × 10−3), MAE (7.90 × 10−4), and MSE (2.58 × 10−6), CatBoost strengthened its prediction ability.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Passive Direct Air Capture of Carbon Dioxide with an Alkaline Amino Acid Salt in Water-Based Paints},

author = {Ngwu, Godwin, Humbul Suleman, Faizan Ahmad, Danial Qadir, Zufishan Shamair, Qazi Nasir, and Muhammad Nawaz},

url = {https://doi.org/10.3390/en17020320},

doi = {https://doi.org/10.3390/en17020320},

year  = {2024},

date = {2024-01-04},

journal = {Energies},

volume = {17},

issue = {2},

pages = {320},

abstract = {The current study presents the first results of the passive capture of carbon dioxide from the air in aqueous sodium lysinate solutions at ambient conditions. The salt has shown good passive direct air capture (DAC) properties for carbon dioxide with spent solutions exhibiting more than 5% carbon dioxide by weight. Moreover, different quantities of sodium lysinate solutions were mixed with three commercial water-based paints, and their passive DAC performance was studied for 45 days. An average improvement of 70% in passive DAC capacity compared to the control sample was observed across all the studied paint samples. The results establish that a litre of water-based paint doped with sodium lysinate can absorb up to 40 g of CO2 and fix it stably for a short period of time, i.e., 45 days. Such paints can be used to directly capture carbon dioxide from the air. However, further research is required to address various technicalities and establish long-term sequestration.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Evaluation of two plumes jet plasma reactor for plasmolysis of H2O vapor and CO2 combinations-Optimization Study},

author = {Wameath S Abdul Majeed and Qazi Nasir and Muzna H Alajmi and Khaloud A Almaqbali},

doi = {https://doi.org/10.1002/amp2.10154},

year  = {2023},

date = {2023-04-05},

urldate = {2023-04-05},

journal = {Journal of Advanced Manufacturing and Processing },

abstract = {Custom design multi-flying jet plasma torches (MFJPT) reactor was tested for plasmolysis of water vapor and mixtures of water vapor-carbon dioxide in a series of experimental investigations at various reactor operational parameters. Experimentation plans were applied within the range of induced power (100–300 watts) and various vapor/gas throughputs. The produced gases were analyzed through online gas chromatography. The results of water vapor plasmolysis in two schemes demonstrated the production of 1337 ppm of hydrogen from water vapor/argon and 1665 ppm from applying a water vapor/argon/ CO2 combination. Valuable hydrocarbon gases (e.g., Ethane, Ethylene/Acetylene) were generated and detected at higher conversions upon introducing H2O vapor, argon, and CO2 mixtures. The experimental data were trained through machine learning and a Gaussian Process Regression (GPR) model has fitted the data quite well. Ultimately, optimization study outcomes are presented through a color heat-map for system scaling-up purposes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Enhanced anaerobic co-digestion of food waste and solid poultry slaughterhouse waste using fixed bed digester: Performance and energy recovery},

author = {Anwar Ahmad and Roomana Ghufran and Qazi Nasir and Fathima Shahitha and Mohammed Al-Sibani and Amal S Al-Rahbi

},

doi = {https://doi.org/10.1016/j.eti.2023.103099},

issn = {2352-1864},

year  = {2023},

date = {2023-03-30},

urldate = {2023-03-30},

journal = {Environmental Technology & Innovation},

volume = {30},

pages = {103099},

abstract = {This study investigated the effects of organic loading rate (OLR) for anaerobic co-digestion (AcoD) of food waste (FW) and solid poultry slaughterhouse waste (SPSW) was performed in a fixed bed digester (FBD) at controlled pH to improve the methane production not fully discovered. Anaerobic co-digestion FW and SPSW were started up for the first time by gradually increasing OLR. At steady state, the FBD-AcoD reactor at OLR of 23.5 g COD/L/d the methane production was 7.8 L/L/d. Which achieved the highest OLR of 23.5 g COD/L, on the other hand when at OLR of 25.5 to 27.5 g COD/L the digester appeared inhibited and showed low performance in methane yields due to the accumulation of volatile fatty acids (VFAs) and long chain fatty acids (LCFAs). Methanosaeta and Methanosarcina were dominant over the acidogenic in the digester boosting the FBD-AcoD system to counter the acid effect. The removals of TS and VS around 79% and 76% on a continuous basis with a waste mixing of SPSW 18.5% and OLR of up to 23.5 g COD/L could biogas production 81 g COD/L/d. The FBD-AcoD system produces bioenergy of 875.3 Kj/g COD and the total investment energy utilized in the system was 8.51 Kj/g COD respectively.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Predicting Gas Hydrate Equilibria in Multi-Component Systems with Machine Learning Approach},

author = {Qazi Nasir and Wameath S Abdul Majeed and Humbul Suleman},

doi = {https://doi.org/10.1002/ceat.202300055},

issn = {0930-7516},

year  = {2023},

date = {2023-03-28},

urldate = {2023-03-28},

journal = {Chemical Engineering & Technology},

abstract = {The production and transportation of natural gas are at risk of gas hydrate plugging, particularly in offshore environments where temperatures are low, and pressures are high. These plugs can block pipelines, increase back pressure, stop production, and even rupture pipelines. In this study, machine learning models were developed to predict the formation of gas hydrates in multicomponent systems, both with and without inhibitors. The data, including gas mixture specific gravity, pressure, and concentrations of different inhibitors, were used as input parameters and fed into a set of supervised machine learning algorithms, including K-nearest neighbor, Random Forest regressor, Decision Tree Regressor, Extreme Gradient Boost, and Gradient Boost regressor. The output results were compared in terms of their accuracy in predicting the hydrate formation temperature (HFT). Overall, three of the models had an accuracy greater than 90%, while the remaining two had an accuracy between 80% and 90%. These results demonstrate that the application of machine learning to solve flow assurance problems is a viable approach that can improve the accuracy and speed of on-site decision-making processes. Additionally, this study highlights the potential of Machine Learning in predicting hydrate formation and ultimately improving the safety and efficiency of natural gas production and transportation.

},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Neural network-based correlation and statistical identification of data outliers in H2S-alkanolamine-H2O and CO2-alkanolamine-H2O datasets},

author = {Bruno Imai and Qazi Nasir and Abdulhalim Shah Maulud and Muhammad Nawaz and Rizwan Nasir and Humbul Suleman},

doi = {https://doi.org/10.1007/s00521-022-07904-z},

year  = {2022},

date = {2022-10-10},

urldate = {2022-10-10},

journal = {Neural Computing and Applications},

volume = {35},

pages = {3395–3412 },

abstract = {Throughout the published literature for phase equilibrium data of CO2-alkanolamine-H2O and H2S-alkanolamine-H2O systems, it is common to find some discrepant data, called data outliers. The presence of these erroneous values induces inaccuracies and prediction errors in the models and simulation studies developed using such experimental datasets. Hence, it is important that the data outliers are identified and later corrected or removed before developing a model or simulation. This study proposes a modified approach to identifying data outliers present in the phase equilibrium data of CO2-alkanolamine-H2O and H2S-alkanolamine-H2O systems using an artificial neural network and data outlier identification methods. Firstly, the suggested approach correlates the experimental phase equilibrium data (2152 data points) of CO2 and H2S-loaded monoethanolamine, diethanolamine, and N-methyldiethanolamine solutions by developing an artificial neural network. Following this, the data outliers are identified by applying a modified IQR method and compared graphically to 2.5 standard deviation method. The identified data outliers can then be truncated or winsorised for developing reliable and accurate models/simulations. The modified IQR method coupled with a neural network (based on the normalised data values) can robustly identify data outliers within a large experimental dataset. The proposed approach is superior to the previous data outlier identification techniques that used 2.5 standard deviations method, as it alleviates the need for a human decision in determining the congruence of experimental values. The results also indicate that the developed method can be reliably extended to other/larger non-linear experimental datasets having similar correlative complexity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {A Review of Preparation Methods for Heterogeneous Catalysts},

author = {Israf Ud Din and Qazi Nasir and Garba D. Mustapha and Alharthi I. Abdulrahman and Alotaibi A. Mshari and Usman Muhammad},

url = {https://dx.doi.org/10.2174/1570193X18666210308151136},

doi = {https://dx.doi.org/10.2174/1570193X18666210308151136},

issn = {1875-6298},

year  = {2022},

date = {2022-09-01},

urldate = {2022-09-01},

journal = { Mini-Reviews in Organic Chemistry },

volume = {19},

issue = {1},

pages = {92 - 110},

abstract = {Catalysts contribute significantly to the industrial revolution in terms of reaction rates and reduction in production costs. Extensive research has been documented on various industrial catalysis in the last few decades. The performance of catalysts is influenced by many parameters, including synthesis methods. The current work overviews the most common methods applied for the synthesis of supported catalysts. This review presents the detailed background, principles, and mechanism of each preparation method. The advantages and limitations of each method have also been elaborated in detail. In addition, the applications of each method in terms of catalyst synthesis have been documented in the present review paper. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {A multi-layer perceptron neural network model for predicting the hydrate equilibrium conditions in multi-component hydrocarbon systems},

author = {Qazi Nasir and Humbul Suleman and Israf Ud Din and Yasir Elsheikh Elfadol},

url = {https://doi.org/10.1007/s00521-022-07284-4},

doi = {https://doi.org/10.1007/s00521-022-07284-4},

year  = {2022},

date = {2022-09-01},

urldate = {2022-09-01},

journal = { Neural Computing and Applications },

volume = {34},

pages = {15863–15887},

abstract = {This work presents a model based on multilayer perceptron neural network (MLPNN) for the prediction of hydrate equilibrium conditions in hydrocarbon systems. The model heuristics are based on an extensive experimental dataset found in the open literature (consisting of 2883 data points for pure component, 993 data points binary component and 484 data points for multicomponent systems, for a wide range of temperature, compositions, and considering different equilibrium phases and presence of inhibitors). Absolute average relative deviation (AARD), mean squared error (MSE) and the regression coefficient (R2) are used as the evaluation criteria to test the efficacy and accuracy of the model’s performance. Results were validated with data points not used to develop the proposed model and found to be in close agreement. The model’s performance was also compared to well-known rigorous equilibrium models (Ng–Robinson and Colorado School of Mines models) and found superior in terms of accuracy with a AARD value as low as 0.60 MPa for the same experimental dataset. The results and comparison indicate that the proposed MLPNN model can be confidently used to predict hydrate equilibrium conditions for various hydrocarbon systems. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {A review of semi-empirical equilibrium models for CO2-alkanolamine-H2O solutions and their mixtures at high pressure},

author = {Humbul Suleman and Abdulhalim Shah Maulud and Philip Loldrup Fosbøl and Qazi Nasir and Rizwan Nasir and Muhammad Zubair Shahid},

url = {https://doi.org/10.1016/j.jece.2020.104713.

},

doi = {https://doi.org/10.1016/j.jece.2020.104713.},

issn = {2213-3437},

year  = {2020},

date = {2020-11-13},

urldate = {2020-11-13},

journal = {Journal of Environmental Chemical Engineering,},

volume = {9},

issue = {1},

pages = {104713},

abstract = {The knowledge of vapour-liquid equilibrium (VLE) of the carbon dioxide-alkanolamine-water system at high pressure plays a critical role in the design of natural gas sweetening systems. Semi-empirical thermodynamic models have been widely used to estimate the VLE at high pressure. However, the understanding of their correlation behaviour at high pressure is limited. Therefore, this study reviews the chronological development and analyse the performance of the two types of semi-empirical equilibrium models for the high pressure-high gas loadings. The effect of process parameters is first analysed on a theoretical basis and then modelled with use of correction factors, defining the systematic contribution of different parameters used in such models. The analysis shows that their VLE require small corrections for good correlation at high pressure, if the equilibrium constants are well-determined. Therefore, the study reports both reliable and improved values of equilibrium constants for alkanolamines, where applicable. In addition, the combined equilibrium constant based semi-empirical models are modified for estimating high pressure VLE of the said system, which were previously limited to low pressure equilibria and low loadings only. The study presents a comprehensive review of the semi-empirical equilibrium models, highlighting their key issues, challenges and future recommendations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Effect of pyrazolium ionic liquid halide content on in-situ transesterification of Castor Bean (Ricinus Communis L.) seeds},

author = {Yasir A. Elsheikh and Fawzi Elfghi and Qazi Nasir and Nawshad Muhammad,},

url = {https://doi.org/10.1016/j.psep.2020.05.014.

},

doi = {https://doi.org/10.1016/j.psep.2020.05.014.},

issn = {0957-5820},

year  = {2020},

date = {2020-05-19},

urldate = {2020-05-19},

journal = {Process Safety and Environmental Protection,},

volume = {140},

pages = {273-282},

abstract = {Currently, ionic liquids (ILs) have apprehended considerable attention as greener substitutions to volatile organic compounds. In this work, duplicate 1-methyl-2-(butyl-4-sulfonate) pyrazolium hydrogensulfate (MSBPHSO4) were synthesized by two different methods. It is observed that IL2 is significantly less stable and more viscous than IL1. To assess their catalytic actions, each IL was explored individually for in-situ transesterifying of Ricinus Communis seeds. Under similar reaction conditions, the percentage of methyl esters obtained from in-situ transesterification catalyzed by IL1 and IL2 were 88.5 and 76%, respectively. Hence, the use of IL free halide has the opportunity to achieve high esters content. At investigated optimal conditions with increasing the temperatures beyond 120 °C, in contrast to IL1, IL2 led to significant drop in the product yields. This phenomenon means that higher temperatures offer greater affinity to chemisorb chloride impurities on IL2 surfaces that are sufficient to block the active site and hinder the progress of the reaction. Too, IL1 revealed an excellent catalytic reusability after ten successive running cycles. These results further prove that the halide pathway should be avoided during synthesizing such ILs for biodiesel preparation. In this study we have established a new way for separating IL from the biodiesel as well as glycerol by salting-out assisted liquid-liquid extraction with aqueous MgSO4.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {CO2 Conversion to Methanol over Novel Carbon Nanofiber-Based Cu/ZrO2 Catalysts—A Kinetics Study},

author = {Israf Ud Din and Maizatul S. Shaharun and Abdul Naeem and Mshari A. Alotaibi and Abdulrahman I. Alharthi and Qazi Nasir},

url = {https://doi.org/10.3390/catal10050567},

doi = {https://doi.org/10.3390/catal10050567},

year  = {2020},

date = {2020-05-19},

urldate = {2020-05-19},

journal = {Catalysts},

volume = {10},

issue = {5},

pages = {567},

abstract = {Ongoing industrialization has deteriorated the global environment. Global warming is a human-induced issue affecting the environment. The alarming increase in CO2 emissions is among the major contributors to global warming. The conversion of CO2 to methanol is an economically viable and environmentally friendly solution to mitigate its concentration. Here, hydrogenation of CO2 was studied over carbon nanofiber-based Cu/ZrO2 catalysts. Kinetics investigations were carried out for the reaction. Overall, kinetics data indicated that CO2 conversion follows a pseudo-first-order reaction. The kinetics studies were further modeled by using an artificial neural network, which supported the experimental kinetics study.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {A review on the role and impact of various additives as promoters/inhibitors for gas hydrate formation},

author = {Qazi Nasir and Humbul Suleman and Yasir A Elsheikh},

url = {https://doi.org/10.1016/j.jngse.2020.103211},

doi = {10.1016/j.jngse.2020.103211},

issn = {1875-5100},

year  = {2020},

date = {2020-02-18},

urldate = {2020-02-18},

journal = {Journal of Natural Gas Science and Engineering},

volume = {76},

pages = { 103211},

abstract = {Formerly, additives were only used to inhibit the formation of solid hydrates in pipelines and maintain a safe and economic fuel transportation. Recently, their role has reversed in newly found applications, where formation of gas hydrates is beneficial like, gas storage and carbon sequestration. A comprehensive review on the role of conventional and novel additives used to promote or inhibit the hydrate formation in different chemical processes is presented. These additives are classified based on their action mechanism i.e. thermodynamic and kinetic. The study aims to provide a complete outlook of chronological development with a special focus on the major issues, challenges, and future prospects/development of the different classes of additives in a promoter/inhibitor role.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {An Overview of Cryogenic Separation Techniques for Natural Gas with High CO2 Content},

author = {Bhajan Lal and Azmi Mohd Shariff and Hilmi Mukhtar and Qazi Nasir and Ali Qasim},

year  = {2018},

date = {2018-03-14},

urldate = {2018-03-14},

journal = { Journal of Engineering and Applied Sciences },

volume = {13},

issue = {8},

pages = {2152 - 2155},

abstract = {In the wake of an unprecedented growth of the market demand for natural gases, exploration and utilization are necessary for high impurity wells worldwide. Therefore, it has become vital to conduct research work on the development of optimized and automated processes for removal of natural gas impurities mainly CO2 . Conventionally, CO2 from natural gas streams are absorbed by amine solutions or other appropriate chemical solutions but cryogenic separation technology is suitable for use if the CO2 content of the natural gas is high. In cryogenic separation, the process principle involves the separation based on the difference in volatility and desublimation. The cryogenic separation process is classified into conventional, nonconventional and hybrid techniques. Conventional process involves Liquid-Vapor (L-V) based separation. The non-conventional method includes Solid-Vapor (S-V) based separation while hybrid technique utilizes both conventional and non-conventional methods. Cryogenic research including both L-V and solid-vapor S-V based separation has recently shown several advantages and to enhance the separation performance and energy reduction, a novel concept of cryogenic hybrid (L-V and S-V) process is also discussed. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {The Presence of additive mixtures (THF/SDS) on carbon dioxide rich gas mixture hydrate formation and dissociation conditions},

author = {Qazi Nasir and Bhajan Lal and Lau Kok Keong},

url = {https://doi.org/10.4028/www.scientific.net/AMR.1133.639},

doi = {https://doi.org/10.4028/www.scientific.net/AMR.1133.639},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

journal = {Advanced Materials Research},

volume = {1133},

pages = {639-643},

abstract = {Besides other application of clathrate hydrates, hydrate-based CO2 capture and storage are potentially important where additives are commonly used to speed up the hydrate formation processes in order to gain on scientific, technological and economic interest. In this work combination of additives such as tetrahydrofuran and sodium dodecyl sulphate (THF/SDS) on mixed gas hydrate formation and dissociation condition have been investigated using a graphical method. The measurements were carried out at temperature and pressure range of (265 to 300) K and (1 to 5) MPa. The presence of additive 3 mol % THF has drastically increased in the hydrate stability region while with the combination of SDS + THF lower the hydrate equilibrium temperature marginally. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Measurement of Isothermal (Vapor + Liquid) Equilibria, (VLE) for Binary (CH4 + CO2) from T= (240.35 to 293.15) K and CO2 Rich Synthetic Natural Gas Systems from T = (248.15 to 279.15) K},

author = {Qazi Nasir and Khalik M. Sabil and K.K. Lau,},

url = {https://doi.org/10.1016/j.jngse.2015.08.045},

doi = {https://doi.org/10.1016/j.jngse.2015.08.045},

issn = {1875-5100},

year  = {2015},

date = {2015-12-08},

urldate = {2015-12-08},

journal = {Journal of Natural Gas Science and Engineering,},

volume = {27},

issue = {1},

pages = {158-167},

abstract = {Isothermal vapor–liquid equilibrium (VLE) data for methane (CH4) + carbon dioxide (CO2) binary system at temperature range of (240.35–293.15) K and synthetic carbon dioxide rich natural gas mixtures at temperature and pressure range of (248.15–279.15) K and (2.81–9.05) MPa were measured in sapphire type equilibrium cell apparatus. Thermodynamic modeling of experimental data was carried out with GERG2008–equation of state (EOS) and volume-translated Peng–Robinson equation of state (VTPR–EOS) using van der Waals (vdw1) mixing rule. For CH4 + CO2 system, the temperature dependent binary interaction parameters (kij) were tuned to measured VLE data, whereas, between CO2 with other hydrocarbons the value of kij = 0 was assumed. Comparison between measured and prediction shows excellent agreement with overall lower deviations were obtained.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Study of Annealing Conditions on Particle Size of Nickel Ferrite Nanoparticles Synthesized by Wet Chemical Route},

author = {Israf Ud Din and S. Tasleem and A. Naeem and Maizatul S. Shaharun and Qazi Nasir},

doi = {10.1080/15533174.2014.988226},

year  = {2015},

date = {2015-10-17},

urldate = {2015-10-17},

journal = {Synthesis and Reactivity in Inorganic, Metal-Organic, and Nano-Metal Chemistry},

volume = {46},

issue = {3},

pages = {405-408},

abstract = {Wet chemical method has been employed for syntheses of nickel ferrite nanoparticles by using nitrate salts of iron and nickel as starting materials. Synthesized product was characterized in terms of thermal stability (TGA), phase determination (XRD) and structure elucidation (FT-IR). Thermal stability of the product was confirmed by TGA studies. Particle size was investigated as a reference of degree and duration of annealing temperature. A linear relationship was observed for size variation of the nickel ferrite nanoparticles with degree of annealing temperature, while size of nanoparticles remains almost constant for different time interval of duration of the annealing temperature.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = { Comparative Study of Electrolyte Thermodynamic Models for Carbon Dioxide Solubility in Water at High Pressure },

author = {Humbul Suleman and Qazi Nasir and A.S. Maulud and Z Man},

doi = {https://doi.org/10.3303/CET1545099},

year  = {2015},

date = {2015-09-20},

urldate = {2015-09-20},

journal = {Chemical Engineering Transactions},

volume = {45},

pages = {589-594},

abstract = {The electrolyte thermodynamic models have been extensively studied for carbon dioxide – water system for the prediction of vapour liquid equilibrium at low pressures. However, no guidelines are available for selection of electrolytic models which are applicable at high pressure for prediction of thermodynamic properties. In this study, solubility prediction of limited Debye Huckel (DH), Pitzer Debye Huckel (PDH) and modified Three Characteristic Parameter Correlation (mTCPC) electrolyte models have been tested for a wide range of temperature (273 – 453 K) and pressure (0.1 – 7.2 MPa).The comparative study shows that introduction of electrolyte model improves the prediction accuracy when physical solubility of gas is low, either in high temperature or low pressure region. The mTCPC model gives improved prediction than non- electrolyte model but requires additional parameters and complex calculations. New values for binary interaction parameters of UNIFAC for carbon dioxide – water system are also optimized. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Hydrate Dissociation Condition Measurement of CO2-Rich Mixed Gas in the Presence of Methanol/Ethylene Glycol and Mixed Methanol/Ethylene Glycol + Electrolyte Aqueous Solution},

author = {Qazi Nasir and KK Lau and Bhajan Lal and Khalik M Sabil},

url = {https://doi.org/10.1021/je5008313},

doi = { DOI: 10.1021/je5008313 },

year  = {2014},

date = {2014-10-22},

urldate = {2014-10-22},

journal = {Journal of Chemical Engineering Data},

volume = {59},

issue = {11},

pages = {3920-3926},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Measurement of H–LW–V and Dissociation Enthalpy of Carbon Dioxide Rich Synthetic Natural Gas Mixtures},

author = {Khalik M. Sabil and Qazi Nasir and Bezhad Partoon and Akbar A. Seman},

doi = {https://doi.org/10.1021/je500453j},

year  = {2014},

date = {2014-09-24},

urldate = {2014-09-24},

journal = {Journal of Chemical Engineering Data},

volume = {59},

issue = {11},

pages = {3502–3509},

abstract = {In this work, hydrate–liquid water–vapor (H–LW–V) equilibrium data for methane (CH4), carbon dioxide (CO2), and four synthetic carbon dioxide (CO2) rich natural gas mixtures are measured. The measured pressure and temperature are in the range of (1.10 to 15.29) MPa and (272.15 to 290.15) K, respectively. In addition, a thermodynamic model based on Peng–Robinson (PR) EoS coupled with van der Waals–Platteeuw and modified Krichevsky and Kasarnovsky (KK) equation has been used for prediction of the equilibrium condition. The comparison between experimental measurements and model prediction shows excellent agreement obtained with an absolute average error of temperature (AAE) as low as 0.09. Additionally, the enthalpy of dissociation for simple and mixed gas hydrates is estimated using the measured equilibrium data by applying the Clausius–Clapeyron equation.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {CO2 rich gas mixture hydrate-liquid water- vapor (H-Lw-V) equilibrium measurement and prediction},

author = {Qazi Nasir and Khalik M Sabil and Bezhad Partoon,},

url = {https://doi.org/10.4028/www.scientific.net/AMM.625.386},

doi = {https://doi.org/10.4028/www.scientific.net/AMM.625.386},

year  = {2014},

date = {2014-09-01},

urldate = {2014-09-01},

journal = {Applied Mechanics and Materials },

volume = {625},

pages = {386-389},

abstract = {In this paper we present experimental hydrate-liquid water vapor equilibrium data for mixtures of gas comprising rich CO2 content. Data were generated by a reliable step-heating technique validated using measured data for CH4. The experimental results obtained in this measurement were compared with various commercial softwares (CSMGem, CSMHYD). The prediction results obtained with different software packages shows in weak agreement with experiment data point with high average absolute error (AAE) of 1.18 and 1.45 for hydrate equilibrium pressure condition while with model used in this work the average absolute error obtained is 0.01 respectively. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Measurement and Phase Behavior Modeling (Dew Point+Bubble Point) of Co2 Rich Gas Mixture},

author = {Qazi Nasir and K.M. Sabil and Khashayar Nasrifar},

url = {https://scialert.net/abstract/?doi=jas.2014.1061.1066 },

doi = {10.3923/jas.2014.1061.1066},

year  = {2014},

date = {2014-03-22},

urldate = {2014-03-22},

journal = {Journal of Applied Sciences},

volume = {14},

issue = {10},

pages = {1061-1066},

abstract = {Dew point and bubble measurements is carried out using Hydreval and PVT equipment. Experimental data for both dew and bubble point is collect with temperature ranges from -20 to 5°C with pressure of 0 to 10 MPa. Mathematical model based on cubic PR Equation of State (EOS) couple with van der Waals classical mixing rule is applied to these experiment data points, A comparison shows a close match between experimental data point and model prediction with low (%) AADP},

keywords = {},

pubstate = {published},

tppubtype = {article}

}