As a natural adsorbent, sisal (agave sisalana) fibers were used to extract Cu, Ni, Mn, and Zn from diesel oil samples for posterior determination (i.e., direct analytical measurements on the solid support) of the analytes by energy dispersive X-ray fluorescence spectrometry (EDXRF). In the proposed procedure, 0.2 g of sisal fiber was directly added to 5.0 mL of diesel oil contained in a glass tube. After 5 min of contact time, the mixture was filtered, and the collected fibers were oven-dried for 30 min at 70 °C. After drying, the analytes were quantified directly by EDXRF using the sisal fibers as a solid support. The calibration curves showed linear concentration ranges of 0.09-1.00, 0.12-1.00, 0.09-1.00, 0.06-1.0 μg g for Cu, Ni, Mn, and Zn, respectively. The limits of detection (LOD) for Cu, Ni, Mn, and Zn were 0.03, 0.04, 0.03, and 0.02 μg g, respectively. The repeatability, evaluated by performing ten measurements at a concentration of 0.50 μg g for each metal, with the results expressed in terms of the relative standard deviation (RSD), was 3.2, 6.5, 6.8, and 6.1% for Cu, Ni, Mn, and Zn, respectively. The results obtained by the proposed method were compared with the results obtained by a comparative method using inductively coupled plasma optical emission spectrometry, and both results showed good agreement. The proposed method was applied for Ni, Cu, Mn, and Zn determination in diesel oil samples collected from different gas stations.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.talanta.2020.121910DOI Listing

Publication Analysis

Top Keywords

diesel oil
16
oil samples
12
determination diesel
8
energy dispersive
8
dispersive x-ray
8
x-ray fluorescence
8
fluorescence spectrometry
8
sisal fiber
8
solid support
8
proposed method
8

Similar Publications

sp. strain p52, an aerobic dioxin degrader, was capable of utilizing petroleum hydrocarbons as the sole sources of carbon and energy for growth. In the present study, the degradation of the mixture of aliphatic hydrocarbons (hexadecane and tetradecane) and aromatic hydrocarbons (phenanthrene and anthracene) by strain p52 was examined.

View Article and Find Full Text PDF

The majority of industries throughout the world rely largely on fossil fuels as their primary energy source. However, these resources are finite and become scarcer by the day. Therefore, exploring alternative fuels and additives for diesel fuel is imperative to mitigate fuel consumption.

View Article and Find Full Text PDF

The CO emission factor is the basis for analyzing vehicle CO emissions. This study establishes a correlation model between the fuel CO emission factor and the mileage-based CO emission factor using fuel consumption data, then analyzes the fuel consumption and CO emission situation of vehicles in Beijing with the established models. The main research conclusions are as follows: The proposed correlation models are effective for analyzing urban vehicle CO emissions.

View Article and Find Full Text PDF

A Comprehensive Assessment of the Marginal Abatement Costs of CO of Co-Optima Multi-Mode Vehicles.

Energy Fuels

January 2025

Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, Washington 99354, United States.

The Co-Optimization of Fuels and Engines (Co-Optima) is a research and development consortia funded by the U.S. Department of Energy, which has engaged partners from national laboratories, universities, and industry to conduct multidisciplinary research at the intersection of biofuels and combustion sciences.

View Article and Find Full Text PDF

Mitigating matrix effects in oil and gas wastewater analysis: LC-MS/MS method for ethanolamines.

Environ Sci Process Impacts

January 2025

Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Parsons Laboratory, 15 Vassar Street, Cambridge, Massachusetts 02139, USA.

The high salinity and organic content in oil and gas wastewaters can cause ion suppression during liquid chromatography mass spectrometry (LC/MS) analysis, diminishing the sensitivity and accuracy of measurements in available methods. This suppression is severe for low molecular weight organic compounds such as ethanolamines (, monoethanolamine (MEA), diethanolamine (DEA), triethanolamine (TEA), -methyldiethanolamine (MDEA), and ,-ethyldiethanolamine (EDEA)). Here, we deployed solid phase extraction (SPE), mixed-mode LC, triple quadrupole MS with positive electrospray ionization (ESI), and a suite of stable isotope standards (, one per target compound) to correct for ion suppression by salts and organic matter, SPE losses, and instrument variability.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!