Engineering carbon nanotubes for sensitive viral detection.

Viral infections have been proven a severe threat to human beings, and the pandemic of Coronavirus Disease 2019 (COVID-19) has become a societal health concern, including mental distress and morbidity. Therefore, the early diagnosis and differentiation of viral infections are the prerequisite for curbing the local and global spread of viruses. To this end, carbon nanotubes (CNTs) based virus detection strategies are developed that provide feasible alternatives to conventional diagnostic techniques. Here in this review, an overview of the design and engineering of CNTs-based sensors for virus detection is summarized, followed by the nano-bio interactions used in developing biosensors. Then, we classify the viral sensors into covalently engineered CNTs, non-covalently engineered CNTs, and size-tunable CNTs arrays for viral detection, based on the type of CNTs-based nano-bio interfaces. Finally, the current challenges and prospects of CNTs-based sensors for virus detection are discussed.

Selective detection of preferential activity of Lanthanum ion at zinc oxide functionalized nanochannel.

A significant increase of rare earth transition metals concentration in water reservoirs caused by the dumping of household materials and petrol-producing industries is a potential threat to human and aquatic life. Here, we demonstrate a model nanofluidic channel for the Lanthanum (La3+) ions recognition. To this end, a single conical nanochannel is first modified with poly allylamine hydrochloride followed by immobilization of synthesized ZnO nanoparticles on the channel surface through electrostatic adsorption. A significant change in the nanopore electrical readout is noticed when the functionalized nanochannel is exposed to an electrolyte solution having La3+cations. The distinctive response by the nanofluidic system towards La3+ions is assumed to be due to ionic radii, hexagonal crystal structure, and associated basal plane interaction between anchored ZnO nanoparticles and La3+ions. We anticipate that this nanofluidic system can be used as a model to design highly sensitive metal ion detection devices.

Nanopore-Based, Label-Free, and Real-Time Monitoring Assay for DNA Methyltransferase Activity and Inhibition.

DNA methylation catalyzed by DNA methyltransferase plays an important role in many biological processes. However, conventional assays proposed for DNA methyltransferase activity are laborious and discontinuous. We have proposed a novel method for real-time monitoring of the activity and kinetics of Escherichia coli DNA adenine methyltransferase (Dam) using nanopore technique coupled with enzyme-linkage reactions. A double-stranded DNA probe AB having a recognition sequence 5'-GATC-3' for both Dam and MboI restriction endonuclease was prepared. Dam catalyzed the methylation of substrate probe AB, which blocked the cleavage reaction of MboI, while the absence of Dam resulted in cleavage of nonmethylated probe AB into four ssDNA fragments by MboI. When tested with nanopore, double-stranded methylated probe AB generated long-lived events, distinguished clearly from MboI-cleavage-mediated ssDNA fragments that generated only spikelike events. The proposed method has a detection limit of 0.03 U/mL for Dam in a short assay time of about 150 min. This sensing system is easy to perform, simple to design and circumvents the use of radioactive substances, resulting in efficient detection of the activity of Dam even in complex matrixes like human serum sample. Furthermore, it has the potential to screen Dam-targeted inhibitor drugs which may assist in the discovery of new anticancer medicines. This method is general and could be extended easily for monitoring activity of a wide variety of methyltransferases by coupling with their corresponding methylation-sensitive endonucleases.

Sleep Quality and its Daytime Effects among University Students in the UAE.

Objectives: To determine the irregularity in the sleep schedule among university students in the UAE and determine its correlation with poor sleep quality, daytime sleepiness, and fatigue. Methods: This observational cross-sectional survey was electronically conducted among undergraduate students of Ajman University during the academic year 2022-2023. The participants were selected using a simple random sampling method. The instruments for data collection comprised of sleep schedule questionnaire, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Fatigue Severity Scale. Data was subjected to chi-square analysis, Mann-Whitney U test, Wilcoxon rank-sum test, and Spearman's correlation. Results: Of the 537 participants, 353 (65.7%) were female. The majority (57.2%) kept highly irregular bedtimes. The cohort's mean global PSQI score was 8.9±3.0 indicating poor sleep quality. There was a positive correlation between the irregular bedtime frequency and the global PSQI score (r = 0.311; p < 0.010). Most (70.8%) participants had a total high Fatigue Severity Scale score of ≥ 36. The scores of women (41.0±10.5) were significantly higher than those of men (38.5±11.0) (p =0.006). Around 53.0% of the participants had high ESS scores indicating excessive daytime sleepiness. There was also a significant correlation between ESS score and irregular bedtime frequency (r = 0.113; p =0.009). Conclusions: The students at Ajman University had a high prevalence of irregular bedtime and inadequate sleeping hours. This was affecting their sleep quality and causing excessive daytime sleepiness. The students, especially women, were suffering from fatigue, potentially affecting their normal functionality. It is crucial to encourage students to establish regular sleep patterns and improve sleep habits to promote their productivity and general well-being.

Interaction of Bioactive Compounds of Moringa oleifera Leaves with SARS-CoV-2 Proteins to Combat COVID-19 Pathogenesis: a Phytochemical and In Silico Analysis.

Novel SARS-CoV-2 claimed a large number of human lives. The main proteins for viral entry into host cells are SARS-CoV-2 spike glycoprotein (PDB ID: 6VYB) and spike receptor-binding domain bound with ACE2 (spike RBD-ACE2; PDB ID: 6M0J). Currently, specific therapies are lacking globally. This study was designed to investigate the bioactive components from Moringa oleifera leaf (MOL) extract by gas chromatography-mass spectroscopy (GC-MS) and their binding interactions with spike glycoprotein and spike RBD-ACE2 protein through computational analysis. GC-MS-based analysis unveiled the presence of thirty-seven bioactive components in MOL extract, viz. polyphenols, fatty acids, terpenes/triterpenes, phytosterols/steroids, and aliphatic hydrocarbons. These bioactive phytoconstituents showed potential binding with SARS-CoV-2 spike glycoprotein and spike RBD-ACE2 protein through the AutoDock 4.2 tool. Further by using AutoDock 4.2 and AutoDock Vina, the top sixteen hits (binding energy ≥ - 6.0 kcal/mol) were selected, and these might be considered as active biomolecules. Moreover, molecular dynamics simulation was determined by the Desmond module. Interestingly two biomolecules, namely ß-tocopherol with spike glycoprotein and ß-sitosterol with spike RBD-ACE2, displayed the best interacting complexes and low deviations during 100-ns simulation, implying their strong stability and compactness. Remarkably, both ß-tocopherol and ß-sitosterol also showed the drug- likeness with no predicted toxicity. In conclusion, these findings suggested that both compounds ß-tocopherol and ß-sitosterol may be developed as anti-SARS-CoV-2 drugs. The current findings of in silico approach need to be optimized using in vitro and clinical studies to prove the effectiveness of phytomolecules against SARS-CoV-2.