Multi-elemental analysis of oil renewable fuel feedstock
Title
Multi-elemental analysis of oil renewable fuel feedstock
Subject
Renewable fuels
Inductively coupled plasma mass spectrometry
Animal fats
Inductively coupled plasma optical emission spectrometry
Used cooking oil
Description
The use of oils and fats, mainly from non-edible or used sources, microalgae, plastic wastes, and lignocellulosic residues as feedstock to elaborate different kinds of renewable fuels (biodiesel, hydrotreated vegetable oils, pyrolysis oils, and bio-oils) is increasing with the aim of implementing a circular and dynamic economy. Quality control of these materials involves the quantification of trace elements. Their presence, even at trace levels, leads to environmental concerns, fuel instabilities and may impact the performance of combustion engines. Therefore, in order to circumvent these problems, accurate and sensitive analytical techniques are required to control the level of these elements with good precision. The present manuscript will review different analytical tools used to analyze these samples. Because of their high sensitivity, low limits of detection, wide dynamic range, and in some cases the capability of carrying out multi-elemental analyses, the review is mainly focused on inductively coupled plasma techniques. Furthermore, sample preparation procedures (e.g., direct dilution, emulsification, extraction, and matrix decomposition) are elaborated. At the end of the work, suggestions on procedures for multi-elemental determination in the aforementioned samples are provided.
189
Publisher
Spectrochimica Acta Part B: Atomic Spectroscopy
Date
2022
2022-03-01
Contributor
Martínez, Santiago
Sánchez, Raquel
Lefevre, Johan
Todolí, José-Luis
Type
journalArticle
Identifier
0584-8547
10.1016/j.sab.2021.106356
URL
https://www.sciencedirect.com/science/article/pii/S058485472100313X
Collection
Citation
“Multi-elemental analysis of oil renewable fuel feedstock,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/20748.