Muhammad Arsalan

Dr. Muhammad Arsalan

Qatar University, Doha, Ad Dawḩah, Qatar
orcid
Bi–O–S Catalyst for Enhanced CO2 Electroreduction to Formic

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 April 2023 in Separation and Purification Technology
Verified
Journal Article
Open access
DEDina Ewis
Dina Ewis
MAMuhammad Arsalan
Muhammad Arsalan
MKMazen Khaled
Mazen Khaled
DPDeepak Pant
Deepak Pant
MBMuneer M. Ba-Abbad
Muneer M. Ba-Abbad
MEMuftah H. El-Naas
Muftah H. El-Naas

14 August 2019 in ACS Omega
Verified
Journal Article
Open access
NBNoor-Ul-Ain Babar
Noor-Ul-Ain Babar
KJKhurram Saleem Joya
Khurram Saleem Joya
MAMuhammad Arsalan
Muhammad Arsalan
MAMuhammad Naeem Ashiq
Muhammad Naeem Ashiq
Manzar SohailManzar Sohail
Manzar Sohail
Arsenic is considered as a toxic heavy metal which is highly detrimental to ecological systems, and long-term exposure to it is highly dangerous to life as it can cause serious health effects. Timely detection of traces of active arsenic (As3+) is very crucial, and the development of simple, cost-effective methods is imperative to address the presence of arsenic in water and food chain. Herein, we present an extensive study on chemical-free electrogenerated nanotextured gold assemblage for the detection of ultralow levels of As3+ in water up to 0.08 ppb concentration. The gold nanotextured electrode (Au/GNE) is developed on simple Au foil via electrochemical oxidation–reduction sweeps in a metal-ion-free electrolyte solution. The ultrafine nanoscale morphological attributes of Au/GNE substrate are studied by scanning electron microscopy. Square wave anodic stripping voltammetry (ASV) response for different concentrations of arsenites is determined and directly correlated with As3+ detection regarding the type of electrolyte solution, deposition potential, and deposition time. The average of three standard curves are linear from 0.1 ppb up to 9 ppb (n = 15) with a linear regression coefficient R2 = 0.9932. Under optimized conditions, a superior sensitivity of 39.54 μA ppb–1 cm–2 is observed with a lower detection limit of 0.1 ppb (1.3 nM) (based on the visual analysis of calibration curve) and 0.08 ppb (1.06 nM) (based on the standard deviation of linear regression). Furthermore, the electrochemical Au/GNE is also applicable for arsenic detection in a complex system containing Cu2+, Ni2+, Fe2+, Pb2+, Hg2+, and other ions for the selective and sensitive analysis. Au/GNE substrate also possesses remarkable reproducibility and high stability for arsenic detection during repeated analysis and thus can be employed for prolonged applications and reiterating analyses. This electrochemically generated nanotextured electrode is also applicable for As3+ detection and analysis in a real water sample under optimized conditions. Therefore, fabrication conditions and analytical and electroanalytical performances justify that because of its low cost, easy preparation method and assembly, high reproducibility, and robustness, nanosensor Au/GNE can be scaled up for further applications.

16 February 2024 in Advanced Composites and Hybrid Materials
Verified
Journal Article
Closed access
PDF file
YZYao Zhao
Yao Zhao
BMBaoji Miao
Baoji Miao
Muhammad Asif NawazMuhammad Asif Nawaz
Muhammad Asif Nawaz
QZQingsong Zhu
Qingsong Zhu
QCQiuling Chen
Qiuling Chen
MAMuhammad Arsalan
Muhammad Arsalan

1 August 2018 in Journal of Electroanalytical Chemistry
Verified
Journal Article
Closed access
JXJinqiong Xu
Jinqiong Xu
XQXiujuan Qiao
Xiujuan Qiao
MAMuhammad Arsalan
Muhammad Arsalan
NCNi Cheng
Ni Cheng
WCWei Cao
Wei Cao
JZJianbin Zheng
Jianbin Zheng

16 January 2019 in Journal of the Electrochemical Society
Verified
Journal Article
Closed access
PDF file
KLKunxia Li
Kunxia Li
JXJinqiong Xu
Jinqiong Xu
MAMuhammad Arsalan
Muhammad Arsalan
NCNi Cheng
Ni Cheng
Qinglin ShengQinglin Sheng
Qinglin Sheng
TYTianli Yue
Tianli Yue
In this work, nitrogen doped carbon dots (N-CDs) derived from kiwi seeds, white sesame seeds, and black sesame seeds were prepared by a simple, feasible and green route. Then a novel nitrite electrochemical sensor was successfully constructed. The morphology and composition of N-CDs were characterized by Field emission transmission electron microscopy, Fourier transform infrared spectra, Raman spectra and electrochemical methods. The particle size of the as-prepared N-CDs from the three kinds of natural seeds were in the range of 1.4 ∼ 4.9 nm, 1.4 ∼ 4.6 nm, and 1.2 ∼ 4.7 nm, respectively. Moreover, these N-CDs nanomaterials exhibited excellent electrocatalytic performances for nitrite sensing with a detection limit of 0.23 μM (S/N = 3) by electrochemical methods. Additionally, the stability, anti-interference ability and real sample analysis of the sensors had been evaluated. Finally, the electrochemical sensor was successfully applied for nitrite determination in real samples (ham sausages). Based on the present study, more natural seeds could be expected as preferred candidates for N-CDs synthesis, and a general platform of novel electrochemical sensors for nitrite detection is provided.

1 August 2021 in Journal of Environmental Chemical Engineering
Verified
Journal Article
Closed access
Adnan Raza AltafAdnan Raza Altaf
Adnan Raza Altaf
HTHaipeng Teng
Haipeng Teng
MZMaoshen Zheng
Maoshen Zheng
IAImtiaz Ashraf
Imtiaz Ashraf
MAMuhammad Arsalan
Muhammad Arsalan
LXLi Xiaoyu
Li Xiaoyu