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  1. Musa K, Tufail S, Erum N, Said J, Mustaffa AH
    PMID: 39254808 DOI: 10.1007/s11356-024-34857-8
    The circular economy practices contribute to sustainable development by maximising efficiency, utilising renewable resources, extending product lifespans, and implementing waste reduction strategies. This study investigates the individual impacts of four sources of the circular economy on the ecological footprint in Germany, a country that is among the pioneers in establishing a comprehensive roadmap for the circular economy. The four sources examined are renewable energy consumption (REC), recycling, reuse, and repair of materials. Using time series data from 1990 to 2021, the study employed the dynamic autoregressive distributed lag (ARDL) simulation technique and also applied kernel-based linear regression (KRLS) to test the robustness of the results. The findings revealed that reuse practices significantly reduce the ecological footprint in both the short and long run. REC and repair also substantially decrease the ecological footprint, as shown by the simulation analysis. Conversely, while recycling is generally considered crucial for minimising environmental impact, in this study, it was found to contribute to environmental degradation. This paradox may be attributed to the nascent state of the recycling industry and data limitations. The results from KRLS confirm the findings of the dynamic ARDL. It is recommended that policymakers develop measures that are appropriate, efficient, and targeted to enhance the role of each source of the circular economy in reducing the ecological footprint in Germany. The major limitation of the study is its reliance on the indirect measures of circular economy attributed to the non-availability of data on direct measures.
  2. Tufail S, Siddique MI, Sarfraz M, Sohail MF, Shahid MN, Omer MO, et al.
    Curr Drug Deliv, 2021 Jul 20.
    PMID: 34288836 DOI: 10.2174/1567201818666210720150929
    INTRODUCTION: The pleiotropic effects of statins are recently explored for wound healing through angiogenesis and lymph-angiogenesis that could be of great importance in diabetic wounds.

    AIM: Aim of the present study is to fabricate nanofilm embedded with simvastatin loaded chitosan nanoparticles (CS-SIM-NPs) has been reported herein to explore the efficacy of SIM in diabetic wound healing.

    METHODS: The NPs, prepared via ionic gelation, were 173nm ± 2.645 in size with a zeta potential -0.299 ± 0.009 and PDI 0.051 ± 0.088 with excellent encapsulation efficiency (99.97%). The optimized formulation (CS: TPP, 1:1) that exhibited the highest drug release (91.64%) was incorporated into polymeric nanofilm (HPMC, Sodium alginate, PVA), followed by in vitro characterization. The optimized nanofilm was applied to the wound created on the back of diabetes-induced (with alloxan injection 120 mg/kg) albino rats.

    RESULTS: The results showed significant (p < 0.05) improvement in the wound healing process compared to the diabetes-induced non-treated group. The results highlighted the importance of nanofilms loaded with SIM-NPs in diabetic wound healing through angiogenesis promotion at the wound site.

    CONCLUSION: Thus, CS-SIM-NPs loaded polymeric nanofilms could be an emerging diabetic wound healing agent in the industry of nanomedicines.

  3. Siddique MI, Tufail S, Ker ZH, Khan TM, Rasool F, Sohail MF, et al.
    Pak J Pharm Sci, 2019 Sep;32(5(Supplementary)):2299-2304.
    PMID: 31894058
    Chitosan nanoparticles (CSNPs) have proven their excellent drug delivery potential through various routes of administration and therefore, the need for large scale production of CSNPs for the commercialization is paramount. Their particle size and surface charge, drug loading capacity, and morphology were characterized in this study. Finally, drug release studies of both continuous and scalable modes were undertaken to ascertain suitability of CSNPs as a carrier for HC. The particle size of the large and small scale of HC-CSNPs was 253.3±16.4 nm and 225.4 ±9.6 nm, respectively. Besides, the surface charge of the large and small scale of HC-CSNPs was +35.3±0.3 mV and +32.6±2.5 mV, respectively. The size and surface charge of both HC-CSNPs were not proven to be statistically different. Drug loading capacity of large and small scale production of HC-CSNPs was high with 89%, and 83% of HC was loaded into CSNPs, respectively. Moreover, the morphology of both large and small scale production of HC-CSNPs had a similar shape and particle size. The drug release profile of CSNPs prepared by both methods showed a significantly (p<0.05) higher percentage release as compared to the free form. It is expected that positively charged nano-sized HC-CSNPs with high drug loading capacity could enhance the efficiency of drug delivery system to carry and diffuse into the target cells. The results obtained also suggested that the modified method applied could be further developed for large scale production of HC-CSNPs.
  4. Tufail S, Sherwani MA, Shamim Z, Abdullah, Goh KW, Alomary MN, et al.
    Biomed Pharmacother, 2024 Jan;170:116070.
    PMID: 38163396 DOI: 10.1016/j.biopha.2023.116070
    Two-dimensional (2D) nanomaterials have garnered enormous attention seemingly due to their unusual architecture and properties. Graphene and graphene oxide based 2D nanomaterials remained the most sought after for several years but the quest to design superior 2D nanomaterials which can find wider application gave rise to development of non-graphene 2D materials as well. Consequently, in addition to graphene based 2D nanomaterials, 2D nanostructures designed using macromolecules (such as DNAs, proteins, peptides and peptoids), transition metal dichalcogenides, transition-metal carbides and/or nitrides (MXene), black phosphorous, chitosan, hexagonal boron nitrides, and graphitic carbon nitride, and covalent organic frameworks have been developed. Interestingly, these 2D nanomaterials have found applications in diagnosis and treatment of various diseases including Alzheimer's disease (AD). Although AD is one of the most debilitating neurodegenerative conditions across the globe; unfortunately, there remains a paucity of effective diagnostic and/or therapeutic intervention for it till date. In this scenario, nanomaterial-based biosensors, or therapeutics especially 2D nanostructures are emerging to be promising in this regard. This review summarizes the diagnostic and therapeutic platforms developed for AD using 2D nanostructures. Collectively, it is worth mentioning that these 2D nanomaterials would seemingly provide an alternative and intriguing platform for biomedical interventions.
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