Solar Light-Induced Synthesis of Biologically Active Compounds.

Over the past few years, photocatalytic methods have shown great promise as low-cost, environmentally friendly, and sustainable technologies. During the development of photochemistry, a variety of sources of light were used, including sunlight, compact fluorescent lamps, lasers, and even light-emitting diodes. As a part of preparing diverse organic compounds, the photochemical approach was used, for instance, to form rings, arylated compounds, cycloaddition, functionalized compounds, dehalogenated compounds, oxidized compounds, reduced compounds, isomers, and sensitized compounds.

Machine learning based prediction and experimental validation of arsenite and arsenate sorption on biochars.

Arsenic (As) contamination in water is a significant environmental concern with profound implications for human health. Accurate prediction of the adsorption capacity of arsenite [As(III)] and arsenate [As(V)] on biochar is vital for the reclamation and recycling of polluted water resources. However, comprehending the intricate mechanisms that govern arsenic accumulation on biochar remains a formidable challenge.

Enhancing EDM Machining Precision through Deep Cryogenically Treated Electrodes and ANN Modelling Approach.

The critical applications of difficult-to-machine Inconel 617 (IN617) compel the process to be accurate enough that the requirement of tight tolerances can be met. Electric discharge machining (EDM) is commonly engaged in its machining. However, the intrinsic issue of over/undercut in EDM complicates the achievement of accurately machined profiles.

Hydrogen Production Using TiO-Based Photocatalysts: A Comprehensive Review.

Titanium dioxide (TiO) is one of the most widely used photocatalysts due to its physical and chemical properties. In this study, hydrogen energy production using TiO- and titanate-based photocatalysts is discussed along with the pros and cons. The mechanism of the photocatalysis has been elaborated to pinpoint the photocatalyst for better performance.

Artificial Intelligence Modeling-Based Optimization of an Industrial-Scale Steam Turbine for Moving toward Net-Zero in the Energy Sector.

Augmentation of energy efficiency in the power generation systems can aid in decarbonizing the energy sector, which is also recognized by the International Energy Agency (IEA) as a solution to attain net-zero from the energy sector. With this reference, this article presents a framework incorporating artificial intelligence (AI) for improving the isentropic efficiency of a high-pressure (HP) steam turbine installed at a supercritical power plant. The data of the operating parameters taken from a supercritical 660 MW coal-fired power plant is well-distributed in the input and output spaces of the operating parameters.

Acetone-Gasoline Blend as an Alternative Fuel in SI Engines: A Novel Comparison of Performance, Emission, and Lube Oil Degradation.

The disproportionate use of petroleum products and stringent exhaust emissions has emphasized the need for alternative green fuels. Although several studies have been conducted to ascertain the performance of acetone-gasoline blends in spark-ignition (SI) engines, limited work has been done to determine the influence of fuel on lubricant oil deterioration. The current study fills the gap through lubricant oil testing by running the engine for 120 h on pure gasoline (G) and gasoline with 10% by volume acetone (A10).

Sleep-aware wavelength and bandwidth assignment scheme for TWDM PON.

The energy efficiency and delay performance of PON are two inversely related phenomena. Higher sleep time of the Optical Network Units (ONUs) results in higher upstream (US) delays due to increased traffic queues during the ONU Asleep state. Although an efficient dynamic bandwidth and wavelength assignment (DWBA) scheme can decrease US delays by minimizing the bandwidth waste and improving the fairness of bandwidth distribution among the ONUs.

Cadmium cyanide complexes with heterocyclic thiones: solid state and solution NMR studies.

Cadmium(II)cyanide complexes of various thiones (imidazolidine-2-thione, diazinane-2-thione and their derivatives) have been prepared and characterized by elemental analysis, IR and solid as well as solution NMR spectroscopy. It appears from the IR data that all complexes are non-ionic [(>C=S)(2)Cd(CN)(2)]. An upfield shift in the (13)C NMR and downfield shifts in the (1)H NMR are consistent with the sulfur coordination to cadmium(II).

Levels of selected heavy metals in black tea varieties consumed in Saudi Arabia.

The metal contents (Fe, Cu, Zn, Mn, Cr, Pb, Ni, Cd, Co) of 17 black tea samples were analyzed by using Inductively Coupled Plasma Atomic Emission Spectroscopy (ICP-AES). Among the investigated metals Mn was the highest (1,071.7 microg/g), whereas Pb showed minimum levels (0.

Levels of selected metals in canned fish consumed in Kingdom of Saudi Arabia.

In the present paper, seven heavy metals (Pb, Cd, Ni, Cu, Zn, Cr and Fe) in canned salmon, sardine and tuna fish were determined by using atomic absorption spectroscopy. Cadmium and lead levels were determined by graphite tube AAS whereas Ni, Cu, Cr and Fe were determined by flame AAS. Analytical results were validated by spiking the samples with various concentrations of these metals for recovery.

Accumulation of heavy metals in kidney and heart tissues of Epinephelus microdon fish from the Arabian Gulf.

Levels of Pb, Co, Cu, Ni, Zn, Mn and Cd in the kidney and heart tissues of Epinephelus Microdon collected from the Arabian Gulf, Eastern province of Saudi Arabia, were determined by wet digestion-based atomic absorption method. The results indicated that accumulation pattern of analyzed metals in the kidney tissues followed the order; Zn > Cu > Pb > Ni > Co > Mn > Cd, with Zn at 47.73 +/- 13.