RSC Advances最新文献

Mongoose hair is used to prepare fine brushes, which increases the demand for mongooses to be poached from the wild and brutally bludgeoned to death. Mongooses were listed as Schedule I species under the Indian Wildlife (Protection) Act 1972. Species identification of wildlife case-related samples is necessary to convict a person under this legislation. Microscopy and DNA-based techniques are commonly used to identify mongoose hair in seized brushes. However, in painting brushes, the roots, and the lower part of the hair are mostly trimmed, and only the upper part is used to make the brushes. In addition, brushes are often prepared with mixed hair from mongoose, domestic cattle, human hair, and synthetic fibre. Therefore, the identification of mongoose hair by microscopy and DNA-based techniques is restricted due to the lack of complete strands of hair and the absence of hair roots. Therefore, there is an urgent need to develop an alternative methodology for the identification of mongoose hair from seized articles. FTIR spectroscopy for forensic analysis has gained significant attention over the years because of its sensitivity, specificity, and non-destructive nature. The present study aimed to discriminate Indian grey mongoose (Herpestes edwardsii) hair from domestic cattle hair (domestic water buffalo and domestic cow), human hair, and synthetic fiber based on their chemical composition using FTIR spectroscopy and chemometric analysis. We have taken hair from four individuals for each species, namely Indian grey mongoose, domestic cattle, human hair, and synthetic fibre. The FTIR spectrum was recorded, and partial least-squares discriminant analysis (PLS-DA) was used to discriminate hair and synthetic fiber. The established PLS-DA model showed an R-square value and an RMSE (root mean square error) value of 0.9 and 0.13 respectively. Our preliminary findings have shown that FTIR spectroscopy combined with chemometrics can quickly discriminate Indian grey mongoose hair, domestic cattle hair, human hair, and synthetic fiber, providing crucial evidence for judicial proceedings.

Due to the important role of protein kinases in protein phosphorylation within vital cellular processes, their abnormal function, especially in cancer situations, has underscored their importance in therapy. Thiazole structures are versatile frameworks present in numerous bioactive compounds. Thiazole derivatives, as a highly favored structural motif, have garnered considerable interest from both industrial and medicinal researchers and have demonstrated notable success over past decades due to their diverse biological properties, including anticancer, antibacterial, antifungal, anti-HIV, antiulcer, and anti-inflammatory activities. Moreover, several thiazole-based drugs are widely recognized pharmaceuticals on the market. Due to their specific structural features, thiazole derivatives have a high potential for interacting with different protein kinases, leading researchers to investigate a variety of structural changes. This thorough review thoroughly examines the design and biological evaluations of small molecules utilizing thiazole as potential agents that target various kinases for anti-cancer applications. These compounds are categorized into two classes: inhibitors of serine/threonine and tyrosine kinases. The goal is to promote the development and progress of more effective, targeted compounds for cancer treatment by highlighting the potential of thiazole in inhibiting kinases.

Six iridium complexes were designed and studied using the DFT approach, (ppy)₂Ir(pic) (1), (f₄ppy)₂Ir(pic) (2), (ppy)₂Ir(tmd) (3), (f₄ppy)₂Ir(tmd) (4), (ppy)₂Ir(tpip) (5) and (f₄ppy)₂Ir(tpip) (6). Here ppy denotes phenylpyridine, f₄ppy denotes 2-(2,3,4,5-tetrafluorophenyl) pyridine, pic denotes benzoic acid, tmd denotes 5-hydroxy-2,2,6,6-tetramethylhept-4-en-3-one and tpip denotes tetraphenylimido-diphosphinate. The geometries, absorptions, emissions, frontier molecular orbitals, and spin–orbit coupling (SOC) constants of the 6 complexes were evaluated. An intriguing phenomenon was observed during the excitation process of these molecules. It was discovered that, in the ground state, the Frontier Molecular Orbitals (FMOs) of these molecules were loosely arranged throughout the molecule. However, in the Lowest Unoccupied Molecular Orbitals (LUMO) of the triplet excited state, the FMOs become concentrated around the metal core and a maximum of two ligands. Furthermore, the analysis of the energy difference between the lowest singlet excited state and the lowest triplet excited state (ΔE_S1T1) of these complexes in conjunction with their spin–orbit coupling performance indicated that complex 1 exhibits characteristics consistent with Thermally Activated Delayed (TAD) fluorescence. We hope that this research can serve as a reference for practical experimental synthesis.

A facile hydrothermal approach was employed to synthesize a novel Cu–ZnO/TiO₂ Z-heterojunction with a high density of defects, which was then utilized for the oxidative desulfurization process, demonstrating excellent photodegradation performance. The results showed that by adjusting components such as Cu, ZnO, and TiO₂, the removal efficiency of DBT reached 88.12% within a duration of 240 min. In the 5 repeated experiments, 7.5%Cu–ZnO/TiO₂ still exhibited high stability and could be reused. The improved photocatalytic performance of the 7.5%Cu–ZnO/TiO₂ composite can be attributed to its high light absorption capability and well-matched energy levels, which are due to the abundant presence of imperfections. The adoption of a Z-heterojunction has enabled efficient separation and transfer of photo-generated electrons and holes (e⁻/h⁺), thereby reducing the probability of charge carrier recombination.

Hexavalent chromium (Cr(VI)) is a prominent carcinogen. In environmental engineering, the elimination of hexavalent chromium from aqueous media is a noteworthy field of study. In this regard, nanoparticle science and technology have contributed significantly to the photocatalytic reduction of Cr(VI). In this review, a methodical search was undertaken to discover the most recent advancements in the field of photocatalytic reduction of Cr(VI) utilizing g-C₃N₄ and composites derived from it. This paper deals with the advancements and applications of g-C₃N₄ and its composites in the Cr(VI) remediation of water-borne pollutants. Different intriguing systems, suggested by various researcher groups, have been discussed. Different characterization techniques often conducted on photocatalysts based on g-C₃N₄ have also been highlighted so as to gain an understanding of the Cr(VI) removal process. Lastly, the future scope of the g-C₃N₄-derived photocatalysts, present challenges, and the viability of employing these photocatalysts in an extensive treatment plant have been discussed.

A new series of aminodiols, aminotetraols and 1,2,3-triazoles based on allo-gibberic acid were synthesized in a stereoselective manner, starting from commercially available gibberellic acid. allo-Gibberic acid, prepared from gibberellic acid according to a literature method, was applied to SeO₂/t-BuOOH-mediated allylic oxidation, yielding the triol, which is a key intermediate. After protecting the 1,4-diol functionality as acetonide, epoxidation was performed using either m-CPBA or t-BuOOH/VO(acac)₂ to produce the epoxy alcohol. Then, the oxirane ring was opened with either primary amines to provide aminodiols or sodium azide to afford azido diols. The latter was subjected to the CuAAC reaction to obtain dihydroxy 1,2,3-triazoles. HCl-mediated acetonide deprotection of the prepared derivatives furnished aminotetraols and tetrahydroxy 1,2,3-triazoles. The antiproliferative effects of the prepared compounds were studied by the in vitro MTT method against a panel of human cancer cell lines (HeLa, SiHa, A2780, MCF-7 and MDA-MB-231) and fibroblasts, and the structure–activity relationships for the prepared compounds were explored.

Direct magnetic writing of ferromagnetic nanoscale elements provides an alternative pathway for potential application in data storage or spintronic devices. Magnetic patterning due to local chemical disordering of Fe₆₀Al₄₀ thin films results in adjacent nanoscale regions that possess two different phases, viz. a low-magnetization and high-coercive chemically ordered phase (non-irradiated ferromagnetic area, NIFM) and a high-magnetization and low-coercive chemically disordered phase (irradiated ferromagnetic area, IMF). Depending on the volume of NIFM and IFM phases, different interaction mechanisms were revealed. It was shown that the modulated films of the coexisting magnetic phases do not lead to exchange coupling in most cases. Evidence for exchange-spring behaviour, however, was found. Moreover, both magneto-structural phases at low temperatures show spin-glass-like properties. Understanding the influence of chemical ordering on magnetic properties is crucial for the advancement of the functionalities of spintronic devices and for the development of alloys with controllable magnetic properties.

Sugar mimics are valuable tools in medicinal chemistry, offering the potential to overcome the limitations of carbohydrate inhibitors, such as poor pharmacokinetics and non-selectivity. In our continued efforts to develop heterocyclic galectin-1 inhibitors, we report the synthesis and characterization of thiazole-linked coumarin piperazine hybrids (10a–10i) as Gal-1 inhibitors. The compounds were characterized using ¹H NMR, ¹³C NMR and HRMS. Among the synthesized molecules, four compounds demonstrated significant inhibitory activity, with more than 50% inhibition observed at a concentration of 20 μM in a Gal-1 enzyme assay. Fluorescence spectroscopy was further utilized to elucidate the binding constant for the synthesized compounds. 10g exhibited the highest affinity for Gal-1, with a binding constant (K_a) of 9.8 × 10⁴ M⁻¹. To elucidate the mode of binding, we performed extensive computational analyses with 10g, including 1.2 μs all-atom molecular dynamics simulations coupled with a robust machine learning tool. Our findings indicate that 10g binds to the carbohydrate binding site of Gal-1, with the coumarin moiety playing a key role in binding interactions. Additionally, our study underscores the limitations of relying solely on docking scores for conformational selection and highlights the critical importance of performing multiple MD replicas to gain accurate insights.

The integration of wearable devices, the Internet of Things (IoT), and advanced sensing platforms implies a significant paradigm shift in technological innovations and human interactions. The IoT technology allows continuous monitoring in real time. Thus, Internet of Wearables has made remarkable strides, especially in the field of medical monitoring. IoT-enabled wearable systems assist in early disease detection that facilitates personalized interventions and proactive healthcare management, thereby empowering individuals to take charge of their wellbeing. Until now, physical sensors have been successfully integrated into wearable devices for physical activity monitoring. However, obtaining biochemical information poses challenges in the contexts of fabrication compatibility and shorter operation lifetimes. IoT-based electrochemical wearable sensors allow real-time acquisition of data and interpretation of biomolecular information corresponding to biomarkers, viruses, bacteria and metabolites, extending the diagnostic capabilities beyond physical activity tracking. Thus, critical heath parameters such as glucose levels, blood pressure and cardiac rhythm may be monitored by these devices regardless of location and time. This work presents versatile electrochemical sensing devices across different disciplines, including but not limited to sports, safety and wellbeing by using IoT. It also discusses the detection principles for biomarkers and biofluid monitoring, and their integration into devices and advancements in sensing interfaces.

The global shift towards sustainable energy sources, necessitated by climate change concerns, has led to a critical review of biohydrogen production (BHP) processes and their potential as a solution to environmental challenges. This review evaluates the efficiency of various reactors used in BHP, focusing on operational parameters such as substrate type, pH, temperature, hydraulic retention time (HRT), and organic loading rate (OLR). The highest yield reported in batch, continuous, and membrane reactors was in the range of 29–40 L H₂/L per day at an OLR of 22–120 g/L per day, HRT of 2–3 h and acidic range of 4–6, with the temperature maintained at 37 °C. The highest yield achieved was 208.3 L H₂/L per day when sugar beet molasses was used as a substrate with Clostridium at an OLR of 850 g COD/L per day, pH of 4.4, and at 8 h HRT. The integration of artificial intelligence (AI) tools, such as artificial neural networks and support vector machines has emerged as a novel approach for optimizing reactor performance and predicting outcomes. These AI models help in identifying key operational parameters and their optimal ranges, thus enhancing the efficiency and reliability of BHP processes. The review also draws attention to the importance of life cycle and techno-economic analyses in assessing the environmental impact and economic viability of BHP, addressing potential challenges like high operating costs and energy demands during scale-up. Future research should focus on developing more efficient and cost-effective BHP systems, integrating advanced AI techniques for real-time optimization, and conducting comprehensive LCA and TEA to ensure sustainable and economically viable biohydrogen production. By addressing these areas, BHP can become a key component of the transition to sustainable energy sources, contributing to the reduction of greenhouse gas emissions and the mitigation of environmental impacts associated with fossil fuel use.