Elemental profiling by ICP-MS as a tool for geographical discrimination: The case of bracatinga honeydew honey

Abstract Introduction Inductively coupled plasma mass spectrometry (ICP-MS) experiments generate complex multi-dimensional data sets that require specialist data analysis tools. Objective Here we describe tools to facilitate analysis of the ionome composed of high-throughput elemental profiling data. Methods IonFlow is a Galaxy tool written in R for ionomics data analysis and is freely accessible at https://github.com/wanchanglin/ionflow. It is designed as a pipeline that can process raw data to enable exploration and interpretation using multivariate statistical techniques and network-based algorithms, including principal components analysis, hierarchical clustering, relevance network extraction and analysis, and gene set enrichment analysis. Results and Conclusion The pipeline is described and tested on two benchmark data sets of the haploid S. Cerevisiae ionome and of the human HeLa cell ionome.

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Geographical discrimination of saffron (Crocus sativus L.) using ICP-MS elemental data and class modeling of PDO Zafferano dell’Aquila produced in Abruzzo (Italy)

Food Analytical Methods ◽

10.1007/s12161-019-01610-8 ◽

2019 ◽

Vol 12 (11) ◽

pp. 2572-2581 ◽

Cited By ~ 7

Author(s):

Angelo Antonio D’Archivio ◽

Maria Laura Di Vacri ◽

Marco Ferrante ◽

Maria Anna Maggi ◽

Stefano Nisi ◽

...

Keyword(s):

Crocus Sativus ◽

Icp Ms ◽

Geographical Discrimination ◽

Elemental Data ◽

Crocus Sativus L

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Elemental profiling of adrenal adenomas in solid tissue and blood samples by ICP-MS and ICP-OES

Microchemical Journal ◽

10.1016/j.microc.2021.106194 ◽

2021 ◽

pp. 106194

Author(s):

Jovana Jagodić ◽

Branislav Rovčanin ◽

Đurđa Krstić ◽

Ivan Paunović ◽

Vladan Živaljević ◽

...

Keyword(s):

Icp Oes ◽

Blood Samples ◽

Solid Tissue ◽

Icp Ms ◽

Elemental Profiling

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Rare Earths as Authenticity Markers for the Discrimination of Greek and Turkish Pistachios Using Elemental Metabolomics and Chemometrics

Foods ◽

10.3390/foods10020349 ◽

2021 ◽

Vol 10 (2) ◽

pp. 349

Author(s):

Natasa P. Kalogiouri ◽

Natalia Manousi ◽

Dimitris Klaoudatos ◽

Thomas Spanos ◽

Vilson Topi ◽

...

Keyword(s):

Inductively Coupled Plasma ◽

Principal Component ◽

Inductively Coupled ◽

Protected Designation Of Origin ◽

Icp Ms ◽

Geographical Regions ◽

Main Effect ◽

Geographical Discrimination ◽

Plasma Mass Spectrometry

Pistachios are a nutritionally beneficial food source widely consumed all over the world. Pistachios exhibit high content of antioxidants, vitamins and other beneficial micronutrients, including nutrient elements and rare earth elements (REEs). Considering that the concentration of REEs depends on the climate and soil characteristics that vary among different geographical regions, REEs could constitute markers responsible for the geographical discrimination of this nut type. In this study, Greek pistachios with a protected designation of origin (PDO) label from Aegina Island and Fthiotida and Turkish pistachios from Adana were analyzed with inductively coupled plasma mass spectrometry (ICP-MS) to assess their REE profile. La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm and Yb were determined and quantified. The quantification results were further analyzed using the main effect plot, permutational analysis of variance (PERMANOVA), nonmetric multidimensional scaling (nMDS), principal component analysis (PCA) and hierarchical clustering (HCA) to investigate the similarities between the pistachios. A decision tree (DT) was developed for the classification of pistachios according to their geographical origin proving to be a promising and reliable tool for verifying the authenticity of food products on the basis of their REE profile.

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Elemental profiling and geographical differentiation of Ethiopian coffee samples through inductively coupled plasma-optical emission spectroscopy (ICP-OES), ICP-mass spectrometry (ICP-MS) and direct mercury analyzer (DMA)

Food Chemistry ◽

10.1016/j.foodchem.2016.05.178 ◽

2016 ◽

Vol 212 ◽

pp. 512-520 ◽

Cited By ~ 42

Author(s):

Girum Habte ◽

In Min Hwang ◽

Jae Sung Kim ◽

Joon Ho Hong ◽

Young Sin Hong ◽

...

Keyword(s):

Inductively Coupled Plasma ◽

Optical Emission Spectroscopy ◽

Optical Emission ◽

Geographical Differentiation ◽

Inductively Coupled ◽

Direct Mercury Analyzer ◽

Icp Ms ◽

Mercury Analyzer ◽

Icp Mass Spectrometry ◽

Elemental Profiling

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Prospect on Rare Earth Elements and Metals Fingerprint for the Geographical Discrimination of Commercial Spanish Wines

Molecules ◽

10.3390/molecules25235602 ◽

2020 ◽

Vol 25 (23) ◽

pp. 5602

Author(s):

Claudia Cerutti ◽

Raquel Sánchez ◽

Carlos Sánchez ◽

Francisco Ardini ◽

Marco Grotti ◽

...

Keyword(s):

Rare Earth ◽

Rare Earth Elements ◽

Inductively Coupled Plasma ◽

Sample Introduction ◽

Good Prospect ◽

Inductively Coupled ◽

La Mancha ◽

Icp Ms ◽

Geographical Discrimination ◽

Plasma Mass Spectrometry

This paper presents a novel tool for Spanish commercial wine discrimination according to their designation of origin (PDO). A total of 65 commercial wines from different Spanish designation of origin (Alicante, Bullas, Campo de Borja, Jumilla, Castilla la Mancha, Ribeiro, Ribera de Duero, Rioja, Rueda, Utiel-Requena, Valdepeñas and Valencia) were characterized. The rare earth elements (REEs) content was determined by a high-temperature torch integrated sample introduction system (hTISIS) coupled to inductively coupled plasma mass spectrometry (ICP-MS). The REE content was used to draw characteristic PDOs radar charts. Results indicated that the REEs fingerprint provides a good prospect to discriminate the different Spanish PDOs, except for Alicante, Castilla la Mancha, Jumilla, Utiel-Requena and Valdepeñas. Finally, for those PDOs that were not properly distinguished, a second fingerprint obtained from Ba, Co, Cr, Mn, Ni, Pb and V content was used for discrimination purposes.

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