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Contamination of water resources by artificial coloring agents and the increasing incidence of bacterial illnesses are two significant environmental and public health issues that are getting worse day by day. Traditional treatment techniques frequently fail to address these problems adequately in a sustainable and environmental friendly way. In response, our study presents a novel photocatalyst that demonstrates superior photodegradation capability and antibacterial qualities in catering the above issues. Sonochemical synthesis route was adopted to synthesize the nanocomposite of zinc oxide/bismuth oxide (ZnO-Bi 2 O 3 ) along with pure ZnO and Bi 2 O 3 . X-ray diffraction investigation was performed to analyze the crystallographic structure and confirmed the formation of the composite. High-resolution transmission electron microscopic analysis showed that the particle size of the composite to be in 20 to 55 nm range with the formation of heterojunction at ZnO/Bi 2 O 3 interface. Fourier transformed infrared spectroscopic and micro Raman studies of the nanocomposite sample helped to detect the presence of stretching vibrations linked with Zn and Bi ions. X-ray photoelectron spectroscopy study revealed the chemical constitution and electronic states of the nanocomposite sample displaying the Zn 2p, Bi 4f, and O 1 s spectral lines. Investigation on the photocatalytic efficiency of the samples was done and the results showed an appreciable increase in photodegradation efficiency for the composite sample in degrading methylene blue (93.24%) and Congo red (92.47%) dyes in 180 min. The effect of pH, photocatalyst amount, and dye concentration on the efficiency of degradation was also been examined. Two primary causes of the enhanced performance of the composite are the generation of hydroxyl radicals (OH•) and the suppression of carrier recombination which is initiated by the synergistic combination of the two metal oxides in the nanocomposite. The nanocomposite sample was found to be stable and reusable for its effective use in environmental cleanup. By using the disk diffusion process, the antibacterial potential of the samples was analyzed and it was discovered that the nanocomposite showed an exceedingly superior antibacterial performance than the pristine samples in preventing the growth of two strains of bacteria, i.e., Escherichia coli and Staphylococcus aureus., Competing Interests: Declarations. Ethics approval: This is an observational study. The Centurion University Research Ethics Committee has confirmed that no ethical approval is required. Consent to participate: Not applicable as no research was conducted involving human subjects. Consent for publication: Not applicable as no research was conducted involving human subjects. Competing interests: The authors declare no competing interests., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Spilanthes paniculata, a member of the Asteraceae family, is predominantly used as a traditional remedy in addressing oral ailments, particularly gum infections and sore throat. The flowers are chewed to alleviate toothache immediately. This study evaluated a comparison between the essential oils of leaf and flower derived from Spilanthes paniculata targeting the SCC9 oral cell lines using in vitro and in silico approaches. The anticancer activity was performed through an MTT assay, apoptosis assays using annexin V and orospheres formation assays. Molecular docking was performed between five selected phytocompounds against the p53 protein by using AutoDock 4.2.6 software. The results confirmed that the flower essential oil significantly reduced the cell viability in a dose-dependent manner, with an IC 50 value of 113.95 µg/mL. The apoptosis assays showed that the flower essential oil was approximately 2.5 times more effective in inducing early apoptosis at 50 µg/mL compared to the essential oil of the leaf. The orosphere formation assays further confirmed the anticancer potential of the flower essential oil. Spathulenol exhibited strong hydrogen bonding with the p53 protein. The ADMET prediction tools were used to predict the in silico pharmacokinetics and drug-like properties of the phytoconstituents. The results suggested that Spathulenol and Nerolidol have high gastrointestinal absorption (GIA), with estimated solubility (ESOL) values of - 3.17 and - 3.22, respectively, falling within the optimal range. These findings suggest that the flower's essential oil efficiently prevented the proliferation of oral cancer and observed a notable degree of cell death, inducing apoptosis and suggesting its significant antiproliferative activity against cancerous cell line which could be explored further for therapeutic applications., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Fabrication of heterostructures for energy storage and environmental remedial applications is an interesting subject of research that has been undertaken in this present investigation. The incorporation of g-C 3 N 4 into ZnO:MoS 2 heterojunction nanocomposite was accomplished by wet-chemical route and characterized by various techniques to ascertain its structure, morphology, and study its potential electro-optical characteristics. The g-C 3 N 4 @ZnO:MoS 2 sample was investigated by x-ray diffraction (XRD) which reveals the co-existence of the ZnO, MoS 2 and C 3 N 4 phases linked to characteristic crystallographic planes in the spectrum, validating the formation of ternary nanocomposite. The XRD patterns of the pristine samples were also considered as reference to understand the structural evolution and phase transformations. Field emission scanning electron microscopy (FESEM) study states the formation of heterogeneous nanostructures having nanoparticles embedded on 2-D nanosheets like structures. Studies using energy dispersive spectroscopy (EDS) and elemental mapping show that all the elements that are linked to the above hybrid nanocomposite are present. Transmission electron microscopy (TEM) provided clear insights on the microstructure as we can identify the distribution of ZnO and MoS 2 nanostructures on layered g-C 3 N 4 nanosheets. The chemical composition and oxidation states of elements were elucidated by X-ray photoelectron spectroscopy (XPS) study, which added another layer of confirmation on the structural evolution of the ternary nanocomposite. Fourier transformed infrared (FTIR) study revealed the layered structure of sp 2 hybridized bonding features of C and N in g-C 3 N 4 , besides Zn-O and Mo-S stretching vibrations. The nanocomposite demonstrated improved photodegradation efficacy and decomposed alizarin red and methylene blue dyes significantly with better stability and reusability. MoS 2 as a co-catalyst acts as an electron acceptor/accelerator in the Z-scheme composite photocatalysis leading to improved photocatalytic efficiency. The resulting heterostructured material delivered a higher specific capacitance of 10.85 F/g with good capacitance retention. Electrochemical study revealed the energy storage capability of the hybrid system., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Competing Interests: None declared.

The separation of blood vessels in the retina is a major aspect in detecting ailment and is carried out by segregating the retinal blood vessels from the fundus images. Moreover, it helps to provide earlier therapy for deadly diseases and prevent further impacts due to diabetes and hypertension. Many reviews already exist for this problem, but those reviews have presented the analysis of a single framework. Hence, this article on retinal segmentation review has revealed distinct methodologies with diverse frameworks that are utilized for blood vessel separation. The novelty of this review research lies in finding the best neural network model by comparing its efficiency. For that, machine learning (ML) and deep learning (DL) were compared and have been reported as the best model. Moreover, different datasets were used to segment the retinal blood vessels. The execution of each approach is compared based on the performance metrics such as sensitivity, specificity, and accuracy using publically accessible datasets like STARE, DRIVE, ROSE, REFUGE, and CHASE. This article discloses the implementation capacity of distinct techniques implemented for each segmentation method. Finally, the finest accuracy of 98% and sensitivity of 96% were achieved for the technique of Convolution Neural Network with Ranking Support Vector Machine (CNN-rSVM). Moreover, this technique has utilized public datasets to verify efficiency. Hence, the overall review of this article has revealed a method for earlier diagnosis of diseases to deliver earlier therapy., (© 2022. The Author(s) under exclusive licence to Society for Imaging Informatics in Medicine.)

In this work, methanol decomposition method has been discussed for the production of hydrogen gas with the application of plasma. A simple dielectric barrier discharge (DBD) plasma reactor was designed for this purpose with two types of electrode. The DBD plasma reactor was experimented by substituting one of the metal electrodes with feebly conducting sea water which yielded better efficiency in producing hydrogen gas. Experimental parameters such as; discharge voltage and time were varied by maintaining a discharge gap of 1.5 mm and the plasma discharge characteristics were studied. Filamentary type micro-discharges were found to be formed which was observed as numerous streamer clusters in the current waveform. Gas chromatographic study confirmed the production of hydrogen gas with residence time around 3.6 min. Although, the concentration (%) of H 2 was high (98.1 %) and consistent with copper electrode assembly, the rate of formation and concentration was found to be the highest (98.7 %) for water electrode for specific discharge voltage. The energy efficiency was found to be 0.5 mol H 2 /kWh and 1.2 mol H 2 /kWh for metal (Cu) and water electrodes respectively. The electrode material significantly affects the plasma condition and hence the rate of hydrogen production. Compositional analysis of the water used as electrode showed a minimal change in the composition even after the completion of the experiment as compared to the untreated water. Methanol degradation study shows the presence of untreated methanol in the residue of the plasma reactor which has been confirmed from the absorption spectra., (© 2020 The Authors.)