Zulfiqar Ali Khan

Dr. Zulfiqar Ali Khan


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

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1 August 2012 in Computational and Theoretical Chemistry
Verified
Journal Article
Closed access
MJMuhammad Ramzan Saeed Ashraf Janjua
Muhammad Ramzan Saeed Ashraf Janjua
Muhammad KhalidMuhammad Khalid
Muhammad Khalid
BBBeenish Bashir
Beenish Bashir
MIMuhammad Awais Iqbal
Muhammad Awais Iqbal
YSYuzhi Song
Yuzhi Song
ZKZulfiqar Ali Khan
Zulfiqar Ali Khan

16 February 2017 in Synthetic Communications
Verified
Journal Article
Closed access
SSSohail Shahzad
Sohail Shahzad
MSMuhammad Aamir Sajid
Muhammad Aamir Sajid
ZKZulfiqar Ali Khan
Zulfiqar Ali Khan
DCDaniel Canseco-Gonzalez
Daniel Canseco-Gonzalez

3 February 2016 in BMC Chemistry
Verified
Journal Article
Open access
NANazia Asghar
Nazia Asghar
SNSyed Ali Raza Naqvi
Syed Ali Raza Naqvi
ZHZaib Hussain
Zaib Hussain
NRNasir Rasool
Nasir Rasool
ZKZulfiqar Ali Khan
Zulfiqar Ali Khan
HJHawa ZE Jaafar
Hawa ZE Jaafar
Encompassing all fields of chemical research, BMC Chemistry is an open access, peer reviewed journal that publishes articles on fundamental concepts, new developments and the application of chemical principles to a broad range of research fields, industry, and other disciplines. The journal provides an inclusive platform for the dissemination and discussion of chemistry to aid the advancement of all areas of research. Supported by a highly experienced global Editorial Board, this journal is part of the BMC series, a collection of journals that are focused on individual research communities, publishing all scientifically valid studies based on community-aligned standards of questioning, methods and analysis.

15 March 2019 in International Journal of Polymeric Materials and Polymeric Biomaterials
Verified
Journal Article
Closed access
ZKZulfiqar Ali Khan
Zulfiqar Ali Khan
SJShahrin Jamil
Shahrin Jamil
AAAmna Akhtar
Amna Akhtar
MBMuhammad Mustehsan Bashir
Muhammad Mustehsan Bashir
MYMuhammad Yar
Muhammad Yar
Various kinds of materials are used for wound healing. But natural polymers are more effective in wound healing as compare to synthetic polymers. Chitosan being a natural biopolymer exhibit various biological properties like biocompatibility, biodegradability, and many other good properties which makes it convenient to use for wound healing application. Different types of chitosan based hybrid materials are used to prepare wound healing nanocomposites, hydrogel sheets, membranes, films, sponges and other hybrid composites using various techniques. This review highlighted the formulation and biological evaluation of various chitosan based hybrid materials as wound dressing.

21 September 2021 in ACS Omega
Verified
Journal Article
Open access
MQMehwish Qayyum
Mehwish Qayyum
TBTayyaba Bushra
Tayyaba Bushra
ZKZulfiqar Ali Khan
Zulfiqar Ali Khan
HGHira Gul
Hira Gul
SMShumaila Majeed
Shumaila Majeed
SSSohail Shahzad
Sohail Shahzad
Tetraphenylethylene (TPE) can be used to construct fluorescent probes with typical aggregation-induced emission (AIE) behavior for next-generation sensing applications. McMurry coupling and Suzuki cross coupling strategies provided the desired sensor thiophene-substituted tetraphenylethylene (THTPE). The synthesized TPE analogues were characterized by NMR spectroscopy and mass spectrometry. Maximum AIE of THTPE was observed in 90% water (H2O/THF) content due to extensive formation of aggregates. The AIE properties of THTPE have been utilized for facile detection of nitroaromatic compounds (NACs) (1.0 nM) through a fluorescence quenching mechanism. A paper strip adsorbed with the AIE-based THTPE fluorophore is developed for rapid and convenient detection of NAC-based analytes. Further, interaction of THTPE with analytes is also studied via Gaussian software at the DFT/B3LYP/6-31G(d) level of theory. Interaction energy, frontier molecular orbitals (FMOs), and non-covalent interaction (NCI) analyses are studied by using the same method. Computational results revealed that nitrobenzene (NB) has the strongest interaction while 1,3-dinitrobenzene (DNB) exhibits the least interaction with the sensor molecule. These computational results clearly demonstrate good agreement with experimental data.

2 December 2008 in Organic Letters
Verified
Journal Article
Closed access
ZKZulfiqar Ali Khan
Zulfiqar Ali Khan
TWThomas Wirth
Thomas Wirth