Optimized pretreatment for accurate determination of elemental composition of extra virgin olive oil (EVOO) using ICP-OES and ICP-MS: A comprehensive study

Precisely identifying trace elements within vegetable edible oils remains a significant analytical problem due to their low concentrations and the complex composition of the matrixes. The objective of this research was to develop an analytical approach for quantifying Al, Be, Co, Cu, Fe, K, Li, Mg, Mn, Na, Ni, Sb, Se, V, Zn, and REEs using inductively coupled plasma optical emission spectroscopy (ICP-OES) and high resolution ICP mass spectrometry (HR-ICP-MS), according to their concentration, in 13 Italian extra virgin olive oils (EVOOs). To determine the most efficient sample preparation technique, different type of pretreatment were tested, and validated by testing a certified reference material (SRM NIST 1573a). The sample manipulation involved the following steps: i. agitation for 120 minutes; ii. sonication for 10 minutes; iii. mineralization with 4 mL of HNO 3 and 2 mL of H 2 O 2 for 240 minutes at room temperature. Principal component analysis (PCA) was conducted to assess whether oils from different regions would separate based on their inorganic content. • Analytical approach to quantify trace elements (in Italian extra virgin olive oils (EVOOs) using advanced techniques like ICP-OES and HR-ICP • A rigorous sample preparation process, including agitation, sonication, and mineralization, was optimized and validated using a certified reference material (SRM NIST 1573a) • Principal Component Analysis (PCA) was employed to investigate whether EVOOs from different regions could be distinguished based on their inorganic composition

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Publication Details

Journal
Journal of Food Composition and Analysis
Published
2025-05-30
DOI
https://doi.org/10.1016/j.jfca.2025.107846
Citations
1
Primary Topic
Edible Oils Quality and Analysis
Type
article
Field-Weighted Citation Impact
0.94
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article

Optimized pretreatment for accurate determination of elemental composition of extra virgin olive oil (EVOO) using ICP-OES and ICP-MS: A comprehensive study

Paolo Inaudi, Laura Favilli, Ilenia Certomà, Stefano Bertinetti et al.
1 citations
Journal of Food Composition and Analysis
Edible Oils Quality and Analysis
0.94
article

Optimized pretreatment for accurate determination of elemental composition of extra virgin olive oil (EVOO) using ICP-OES and ICP-MS: A comprehensive study

Paolo Inaudi, Laura Favilli, Ilenia Certomà, Stefano Bertinetti, Ornella Abollino, Mery Malandrino, Riccardo Cecire
article en
1 citations

Abstract

Precisely identifying trace elements within vegetable edible oils remains a significant analytical problem due to their low concentrations and the complex composition of the matrixes. The objective of this research was to develop an analytical approach for quantifying Al, Be, Co, Cu, Fe, K, Li, Mg, Mn, Na, Ni, Sb, Se, V, Zn, and REEs using inductively coupled plasma optical emission spectroscopy (ICP-OES) and high resolution ICP mass spectrometry (HR-ICP-MS), according to their concentration, in 13 Italian extra virgin olive oils (EVOOs). To determine the most efficient sample preparation technique, different type of pretreatment were tested, and validated by testing a certified reference material (SRM NIST 1573a). The sample manipulation involved the following steps: i. agitation for 120 minutes; ii. sonication for 10 minutes; iii. mineralization with 4 mL of HNO 3 and 2 mL of H 2 O 2 for 240 minutes at room temperature. Principal component analysis (PCA) was conducted to assess whether oils from different regions would separate based on their inorganic content. • Analytical approach to quantify trace elements (in Italian extra virgin olive oils (EVOOs) using advanced techniques like ICP-OES and HR-ICP • A rigorous sample preparation process, including agitation, sonication, and mineralization, was optimized and validated using a certified reference material (SRM NIST 1573a) • Principal Component Analysis (PCA) was employed to investigate whether EVOOs from different regions could be distinguished based on their inorganic composition

Journal of Food Composition and AnalysisVol. 146
CSI Piemonte (IT), Environment Park (IT), University of Turin (IT)
Zero hunger
Openalex Percentile: Top 25%
Edible Oils Quality and Analysis
0.94
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