75 research outputs found
Fast, Selective Removal and Determination of Total Bismuth (III) and (V) in Water by Procaine Hydrochloride Immobilized Polyurethane Foam Packed Column Prior to Inductively Coupled Plasma - Optical Emission Spectrometry
The chemical composition, total phenolic and antioxidant content of four date palm saudi cultivars
Development of a highly selective and sensitive sulfate—polymeric membrane sensor based on Nickel(II)–dioxime complex as neutral carrier
Perovskite synthesis, properties and their related biochemical and industrial application
Perovskite synthesis, properties and their related biochemical and industrial application
The perovskite structure is shown to be the single most versatile ceramic host. Inorganic perovskite type oxides are attractive compounds for varied applications due to its large number of compounds, they exhibit both physical and biochemical characteristics and their Nano-formulation have been utilized as catalysts in many reaction due to their sensitivity, unique long-term stability and anti-interference ability. Some perovskites materials are very hopeful applicants for the improvement of effective anodic catalysts performance. Depending Perovskite-phase metal oxides distinct variety of properties they became useful for various applications they are newly used in electrochemical sensing of alcohols, glucose, hydrogen peroxide, gases, and neurotransmitters. Perovskite organometallic halide showed efficient essential properties for photovoltaic solar cells. This review presents a full coverage of the structure, progress of perovskites and their related applications. Stress is focused particularly to different methods of perovskites properties and there related application. Keywords: Alcohols sensor, Catalysts, Ceramic, Glucose, Neurotransmitters, Organometallic halide, Sensor, Solar cell
Nutritional composition of fruit of 10 date palm (Phoenix dactylifera L.) cultivars grown in Saudi Arabia
AbstractThe aim of the study was to determine the chemical composition of dates from 10 types of palm cultivated in Saudi Arabia (Phoenix dactylifera L.) to assess their nutritive (crude protein, crude fat and ash) and amino acid composition. The dates were rich in sugar (71.2–81.4% dry weight), while ash represented 1.68–3.94%; they contained low concentrations of protein and lipid (1.72–4.73% and 0.12–0.72%, respectively). The predominant mineral was potassium, and the main sugars were glucose and fructose. They contained high concentrations of aspartic acid, proline, alanine, glycine, valine and leucine; low concentrations of threonine, serine, isoleucine, tyrosine, arginine, phenylalanine and lysine and very low concentrations of methionine and histidine. These results show that dates are nutritious and can play a major role in human nutrition and health
Assessment of Roadside Soil Pollution by Heavy Metal Ions and Correlation to Traffic Activities in Madina City, Saudi Arabia: Part I
Impact of Traffic Density on Roadside Pollution by Some Heavy Metal Ions in Madinah City, Kingdom of Saudi Arabia
Metrological Evaluation of Metopimazine HPLC Assay: ISO-GUM and Monte Carlo Simulation Approaches
Background: Measurement uncertainty (MU) is a crucial parameter for ensuring the reliability of analytical methods and the validity of results, as required by ISO 17025:2017. Its estimation is particularly critical for quality control laboratories, where compliance decisions are based on a rigorous interpretation of uncertainties. Methods: In this study, we evaluated the uncertainty associated with an HPLC-UV method for the determination of Metopimazine (MPZ) in a pharmaceutical form, applying two complementary approaches: The ISO-GUM (Guide to the Expression of Uncertainty in Measurement) top-down approach and the Monte Carlo Simulation (MCS). Results: The results of both approaches showed excellent agreement, thus validating the robustness of the evaluation. The analysis of uncertainty sources revealed that the accuracy of the sample volume (VSample) and the calibration standard (Cx) were the dominant contributors, representing 39.9% and 36.2% of the total uncertainty, respectively. Combined, these two factors accounted for 76.1% of the variability, underscoring their critical impact on the assay’s precision. The expanded uncertainty (k = 2, 95% confidence level) was determined to be (99.41 ± 0.69)%, reflecting the method’s reproducibility. Conclusions: These results highlight the importance of rigorously controlling calibration standard preparation, sample volume, and repeatability conditions to optimize the reliability of the assay
- …
