The Pattern of Rare Earth Elements Like a Possible Helpful Tool in Traceability and Geographical Characterization of the Soil-Olive System (Olea europaea L.)
by
, and
Marcella Barbera
1,2,
Filippo Saiano
1,*,
Livia Tutone
1,
Roberto Massenti
1
and
Antonino Pisciotta
1,*
1
Dipartimento Scienze Agrarie, Alimentari e Forestali, Università degli Studi di Palermo, Viale delle Scienze Ed.4, 90128 Palermo, Italy
2
Dipartimento Géosciences, Ressources Naturelles et Environnement, Sorbonne Université, METIS, 4 place Jussieu, 75005 Paris, France
*
Authors to whom correspondence should be addressed.
Plants 2022, 11(19), 2579; https://doi.org/10.3390/plants11192579
Submission received: 12 September 2022
/
Revised: 27 September 2022
/
Accepted: 28 September 2022
/
Published: 30 September 2022
(This article belongs to the Special Issue Physiological Responses of Tree Fruits to Environmental and Management Factors II)
Abstract
:The identification of a product, with its geographical origin, is a guaranty of the value of the foodstuff and protection from potential fraud. Extra virgin olive oil is produced or marketed as a single variety or a blend of two or more cultivars, often of different geographic origins. Therefore, to study a possible link between the soil and olive oil, we accounted crucial to analyse the behaviour of olive of different cultivars. We studied Rare Earth Elements (REE) amounts and their relationship to trace their distribution from soil to the olive pulp (Olea europea L.). The results obtained pointed out that the different cultivars of Olea did not drive significant differences in reciprocal ratios of REE in the uptake from the soil up to olive (except for Eu). However soil-plant Rare Earth relationships depend exclusively on the soil REE composition. This method can be the starting point to enforcing the laws, in fact, it is important to develop analytical methods to measure the authenticity of the samples, and to verify the geographical origin even when olive oil is blended.
1. Introduction
The possibility of tracing the origin of foodstuff is assuming an increasingly important role as a tool that may allow product authenticity to be proven and adulteration to be controlled [1]. The rising demand for olive oils of high quality from consumers, the importance attributed by legislators to guaranteeing the provenance of products from the olive sector and the health and safety of consumers, has motivated the identification of the geographical traceability of agriculture products, especially the need for a reliable monitoring system in the food sector [2,3,4,5,6,7,8,9,10]. In this field, extra virgin olive oil (EVOO) is considered one of the most relevant Italian agricultural commodities. Several authors reported that the health effects of the Mediterranean diet can be related to the consumption of extra virgin olive oil due to the high content of antioxidant substances [11,12,13]. However, EVOO superior quality and commercial value derive widely from the geographical origin of production and the varieties. The designation recognition supposes the investigation of several processes along the entire EVOO production chain: olive cultivation, oil extraction and bottling, with particular attention to the cultivars used for the production of a specific oil, the geographical area of cultivation, followed by management practices, production/extraction and organoleptic attributes. The analytical methods commonly applied must use adequate standard and appropriate statistics [14,15,16,17]. The improvement of the detection limits of several instruments has allowed the development of analytical methods based on Rare Earth Elements (REE: Lanthanum (La), Cerium (Ce), Praseodymium (Pr), Neodymium (Nd), Samarium (Sm), Europium (Eu), Gadolinium (Gd), Terbium (Tb), Dysprosium (Dy), Holmium (Ho), Erbium (Er), Thulium (Tm), Ytterbium (Yb) and Lutetium (Lu)) as food markers [6,7,8,18,19,20,21]. These elements are relatively abundant in the Earth’s crust, and Yttrium (Y), due to its chemical similarity, is generally studied with them. Geographical or variety characterization cannot be documented by chemical compounds that are not stable during the olive oils’ life [22] and REE are very important because their concentration does not change over time, as they could be representative of the soil. A study has shown that REE are tracers of soil and/or phosphorus fertilizers in use [23] and, in another study, they were used for the identification of the geographical origin of pumpkin seed oil [24].
The characteristic behaviour of REE has allowed elucidation of the mechanisms of their uptake by plants, representing a helpful tool to analyze plant-soil system transfer processes [2,25,26,27,28]. These elements are directly linked to the geology of the area; therefore, their profile reflects the geographical origin of the cultivation area. It is known that REE in plants have a characteristic distribution pattern similar to geological samples [29]. Their local differentiation, through mobilization and redistribution processes, could be represented by the ∑HREE/∑LREE ratio (HREE Heavy REE from Terbium to Lutetium plus Yttrium, LREE Light REE from Lanthanum to Gadolinium) and by the so-called normalized patterns, and together, in this more geochemical approach, seem to be a promising tool to establish univocal traceability systems in the agro-food field [30,31,32]. It is significant to highlight that REE multi-element distribution can be a helpful tool for the determination of the geographical origin of food products if the REE distribution is preserved from the soil to the plant irrespective of the mechanisms involved in metal uptake and transfer by plants. Analogously to how we have made on Vitis vinifera, an essentially aqueous system, we have tested the same REE geochemical approach, precisely to verify its ability, also in a widely different apparatus as the olives, a very low-aqueous system.
For all these reasons, and because it is also known that the produced or marketed EVOO is frequently a blend of olives of two or more cultivars and/or of the same cultivar but from different geographical origins, we have decided to start the study of the soil-olive fruit link as the first step of the EVOO production chain. Therefore, in this paper, we initially studied the distribution of REE between a single soil (a single soil by point of view of the REE distribution) and 38 indigenous Sicilian olive cultivars to establish if the distribution pattern remains unaltered irrespective of the characteristics of each variety.
2. Materials and Methods
2.1. Chemicals
Concentrated nitric acid (65%) and hydrogen peroxide (30%) of ultrapure grade were purchased from Baker (Milano, Italy), diethylenetriaminepentaacetic acid (DTPA) (purity > 99%) was from Sigma-Aldrich (Italy). Ultrapure water 18.2 MΩ cm, produced with an EASYpureII (Thermo, Milano, Italy), was used for all standard solutions and sample preparations. Y, Lanthanoids, Rh (Rhodium) and Re (Rhenium) standard solutions (1000 ± 5 g mL−1) were purchased from BDH, Merck and CPI International (Milan, Italy).
2.2. Experimental Layout, Plant Material, and Sampling
Soil and olive (Olea europaea L.) samples were provided by the Experimental Station of the Agricultural Development Agency (ESA) of the Sicilian regional government located in Castelvetrano (Sicily, Italy). The Experimental field “Campo Carboj” (37°34′59.20″ N, 12°52′32.12″ E) covers 16.36 hectares in a flat area (50 m a.s.l.) with a silty soil texture. Rainfall amounts are around 500 mm/year (Sicilian Agrometeorological Information Service, SIAS source, http://www.sias.regione.sicilia.it/ accessed on 11 September 2022), concentrated during autumn-winter. Although during the winter season the minimum temperature rarely falls below 3–4 °C, in contrast, during the summer season, the maximum temperature frequently exceeds 40 °C. The sampled olive trees were 8 years old, trained to vase system, spaced at 5 m × 7 m (285 trees ha−1) and drip irrigated. Soil management practices included resident vegetation during winter and incorporating the biomass into the soil in April by ploughing.
Three to four shallow tillages (10–12 cm deep), from spring to summer, were carried out to control weeds and prevent soil cracking [33]. Thirty-eight indigenous Sicilian olive cultivars (replicated three times with 3 plants), were used from the germplasm collection of Campo Carboj (Table 1). At harvest (autumn-winter), a representative sample (replicated three times) of 1 kg of olive was randomly collected from nine plants of each cultivar and representative soil samples (about 2 kg), were also collected in the same plot where the olives were harvested (depth from 10 to 40 cm, distance from the tree 1.5 m).
2.3. Sample Preparation
All soil samples were treated as reported in [32]. To extract the REE pseudo-total fraction (which contains all the elements without those blocked in silicates) aliquots of 0.5 g (dried weight) were digested using HNO3 and H2O2 in a microwave system (Supplementary Material Table S1) while to obtain the REE bioavailable fraction, aliquots of 10.0 g were treated with 20.0 mL of a (DTPA) 0.005 M (at pH 5.0 with NaOH) and shaken for 24 h at room temperature. Each analytical sequence included a procedural blank (ultrapure water treated as the other samples).
The olive samples were washed with ultrapure water, and the pulp separated from the pit. To pulp aliquots (2.0 g dried weight) in open vessels, 4 mL of HNO3 of ultrapure grade were slowly added two times, spaced one half-hour apart to avoid the tumultuous formation of gas and sample leaks, and digested in a microwave system (Mars 5 Xpress, CEM, Italy). In a second mineralization step, the samples, to which 2.5 ml of ultrapure-grade H2O2 were added, were newly digested (Supplementary Material Table S1). After digestion, the extracts were diluted with ultrapure water to 15.0 mL. Ultrapure water, treated as a sample, was used as a procedural blank.
2.4. Elemental Analysis
ICP-MS measurements (Agilent Technologies 7500ce Series Spectrometer, Milano, Italy) were carried out as in [32]. In particular, ICP-MS was carefully tuned by monitoring 7Li, 59Co, 89Y, 140Ce and 205Tl masses and optimised, with a solution containing 1.0 μg mL−1 of Ba in a 3/1 v/v ratio of HNO3/H2O2, to evaluate both ratios 135Ba16O+/135Ba+ and 134Ba17O+/134Ba+, the higher amount of which was below 0.1%, to better control the Ba interferences on the determination of 151Eu. The REE recovery in olive pulp was estimated by analysing the INCT-OBTL-5 Oriental Basma Tobacco Leaves certified standard material [34]. Values, between 95% and 105%, were found for certified elements (Lanthanum, Cerium, Neodymium, Samarium, Europium, Terbium, Erbium and Ytterbium) and from 98% to 110% for elements whose values were listed as informative. Lutetium showed a low value of 75% (Supplementary Material Table S2). In the soil, the quality of pseudo-total REE content of our samples was verified by analysing the SRM 2586 (trace elements in soil containing lead from paint) from the National Institute of Standards and Technology (NIST). The REE recoveries showed an acceptable agreement between certified and observed concentration values (Supplementary Material, Table S2). LOQ was estimated by using the following equation YQL = y + 10s where y is the average value of the standard solution signal and s is the standard deviation obtained by measuring at least ten different aliquots of standard solution at REE concentration near the lower point of the working range (1 ng/L). Data obtained for each element are shown in Supplementary Material Table S2.
2.5. Data Analysis
The software SYSTAT (ver.10; Systat Software Inc., San Jose, CA) was used for statistical analyses. The cultivar was considered the main factor, and one-way analysis of variance (ANOVA) was performed (α = 0.05). Statistically significant differences between means were determined using Tukey’s HSD test (α = 0.05).
The distribution coefficient values (Kd), were calculated as [REE]1/[REE]2, between REE concentrations measured in two interfaced substances (for example, 1 = olive pulp and 2 = soil).
3. Results and Discussion
3.1. Soil
The REE availability for plants is typically controlled by the solubility and stability of REE complexes in the rhizosphere [35], and for this reason, their determination in bedrock is not as useful as the bioavailable and pseudo-total fractions in soil [32]. Our averaged concentration data are reported in Supplementary Material Table S3.
We analysed the REE amount as normalized data, i.e., by the ratio between the molar concentration of each sample to the molar concentration of one of the several international references reported in the literature, in our case, to the Upper Continental Crust (UCC) [36].
Figure 1a reports the ∑[HREEUCC] vs. ∑[LREEUCC] relation for all soil samples, obtained considering both methods (pseudo-total and bioavailability). The linearity of this relation, with a very good R2 (0.955 and 0.991, respectively), confirms the homogeneity of the REE distribution. The different slope of samples obtained with the system of bioavailability is due to the different complexation constants of HREE and LREE with diethylenetriaminopentaacetic acid (DTPA) [37]. However, in REE studies, as reported by [38], the relative distributions of concentrations give more information than single absolute concentration values.
As we underlined in the introduction, considering the REE as a homogeneous group, their normalized concentration ratios, analogously for example to 87Sr/86Sr isotopic ratio, are more useful than absolute values when we consider the geochemical approach: soils normalized pattern with identical shape, but with different absolute amounts, therefore parallel patterns, geochemically represent the same soils for the REE tracers. The soil samples normalized averaged patterns, both for pseudo-total and bioavailable treatments (Figure 1b), showed very low standard deviation values and reflected very good REE markers spatial homogeneity in the studied area. Therefore, the Campo Carboj, regarding the REE distribution, appears as an overall unique soil in which different olive trees grow. A flat REE distribution with a progressive slight decrease from Gd until Lu is evident in the pseudo-total soil fractions. No significant anomaly in REE distribution is present. Particularly, Ce and Eu, concerning their specific chemical behaviour (two oxidation states for Ce and the similar behaviour of Eu with Ca), were the principal elements that could show fractionation. On the other side, a slight increase from La to Gd with a small negative anomaly of Ce is observed in the REE pattern of the bioavailable soil fraction. The behaviour from Gd to Lu is superimposable on pseudo-total fractions. The oxidant and more acidic (pH < 1) strength of the pseudo-total treatment justify the higher REE amount released from soil samples in comparison with DTPA treatment (pH =5). The different DTPA-REE complexation constant values cause the behaviour of LREE to respect HREE and the Ce anomaly [37].
3.2. Olive Pulp
Very scarce are the data about trace elements and, in particular, REE distributions in Olea europaea L. However, as in other food products, the behaviour seems typical with a low amount in olive pulp [3,39,40]. Our results of REE concentrations, from olive pulp analysis for each cultivar, are reported as average values with standard deviations, in nanomoles kg−1 in Table 2. Before applying the “geochemical” treatment used with soil, we initially carried out a simple statistical approach. The statistical analysis (ANOVA), working with REE absolute amounts, supported a significant effect of cultivars on the uptake of all REE elements. Particularly, we found the strongest uptake from CVs “Passulunara”, “Minuta”, and “Bottone di Gallo”. However, as previously reported [32], the climatological conditions and physiology of different olive trees (the differences in expression of vigour), reasonably, seem to influence only the total amount of REE uptake and not their reciprocal ratio. Therefore, ∑[HREEUCC] vs. ∑[LREEUCC] and the UCC normalized patterns of the olive pulp for each different cultivar were evaluated. Figure 2 shows the ∑[HREEUCC] vs. ∑[LREEUCC] relation for all olive pulp samples. Very intriguing results were obtained: a high R2 value, 0.94, independently by any cultivar considered or its peculiar agronomic features. The meaning is that all plants showed the same correlation. Analogously, the REE pattern of the averaged concentration values of all the different cultivar olive samples, shown in Figure 3, is very significant. In fact, within the values of the standard deviations, the differences between the different samples are very small, confirming that every cultivar has similar behaviour in the uptake of REE. The noteworthy fractionation of Eu is present, a common feature in REE plant uptake, as previously reported in studies of the uptake of REE by grapes [30,32]. Eu seems to be preferentially mobilised from soil to olive pulp, as it is known, for its great similarity concerning Ca [27,35].
3.3. Plant/Soil Relationships
In the olive tree/soil system, to identify a direct correlation between REE contents in olive pulp and the amount determined in its soil, we calculated Kd values. We found that a linear correlation, in the ratio ∑[HREE]CCarboj vs. ∑[LREE]CCarboj for both normalizations (Figure 4a), is strongly maintained (R2 0.935 for both the methods) meaning that olive pulp from different cultivars grown in the same soil presented the same UCC-normalized REE pattern. The Kd coefficients, both for pseudo-total and bioavailable fractions (Figure 4b) were always independent of the cultivar and, as expected, all characterised by a positive Eu anomaly. Along with the REE series, principally flat features (with Eu exception) in both soil fractions were present. The slight Ce-positive anomaly in the olive pulp for DTPA soil fraction is a consequence of the distribution coefficient KCe where the denominator is lower for the Ce-negative anomaly present in the DTPA soil fraction. Similar considerations can be made for the behaviour of Eu.
4. Conclusions
The overall results of this preliminary study with this approach, to our knowledge, are the first on olive pulp. The obtained data, and the pattern among different varieties, show that the ratios and distributions of REE of this “homogeneous” soil are not influenced (with the expected exceptions of Eu) by different Olea europaea L. cultivars: indeed, all the olives of different cultivars maintain the soil fingerprint. These encourage further research on the ability of the ∑[HREE]UCC vs. ∑[LREE]UCC relation, REE normalized patterns and Kd factors to link more directly to the olive-soil system. In this geochemical approach applied, the normalising factors are useful in evidencing any possible similarity or difference in the samples of the studied systems. In perspective, this easy and relatively expensive methodology, once the REE features (∑[HREE]UCC vs. ∑[LREE]UCC ratio and normalized patterns) have been characterised for more and more soils of other countries, could be applied both in table olive and olive oil and, more generally, to other agro-food products, particularly, in terms of geographical traceability as well in adulteration control.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/plants11192579/s1, Table S1 Microwave programs for soil and CRM Soil (a) and olive and CRM Leaves (b); Table S2 Average amounts, standard deviations and recover percentage of REE in the INCT-OBTL-5 and 2586 CRM samples (in bold the certified values the others are informative ones). LOQ, in nanomoles Kg−1, and R2 from calibration curve. Table S3 Average amounts in micromoles Kg−1 and standard deviations of REE in Campo Carboj soil samples. Figure S1. UCC-normalised REE pattern of all Campo Carboj olive samples
Author Contributions
Conceptualization, F.S., A.P. and M.B.; methodology, F.S., A.P. and M.B.; software, A.P.; validation, M.B.; sampling and samples treatment, L.T., R.M. and M.B.; writing—original draft preparation, M.B., L.T.; writing—review and editing, A.P., F.S. and R.M. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Data is contained within the article and supplementary material.
Acknowledgments
We thank the Agro-Environmental Analytical Laboratories of the Agency for Agricultural Development of the Sicilian regional government (E.S.A.) for the ICP-MS measurments and the Experimental Station of Campo Carboj. This work is part of the doctoral thesis of the first author.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Bryła, P. The impact of obtaining a European quality sign on origin food producers. Qual. Assur. Saf. Crops Foods 2018, 10, 155–164. [Google Scholar] [CrossRef]
- Aceto, M.; Robotti, E.; Oddone, M.; Baldizzone, M.; Bonifacino, G.; Bezzo, G.; Di Stefano, R.; Gosetti, F.; Mazzucco, E.; Manfredi, M.; et al. A traceability study on the Moscato wine chain. Food Chem. 2013, 138, 1914–1922. [Google Scholar] [CrossRef] [PubMed]
- Aceto, M.; Calà, E.; Musso, D.; Regalli, N.; Oddone, M. A preliminary study on the authentication and traceability of extra virgin olive oil made from Taggiasca olives by means of trace and ultra-trace elements distribution. Food Chem. 2019, 298, 125047. [Google Scholar] [CrossRef] [PubMed]
- Camin, F.; Larcher, R.; Perini, M.; Bontempo, L.; Bertoldi, D.; Gagliano, G.; Nicolini, G.; Versini, G. Characterisation of authentic Italian extra-virgin olive oils by stable isotope ratios of C, O and H and mineral composition. Food Chem. 2010, 118, 901–909. [Google Scholar] [CrossRef]
- Chiocchini, F.; Portarena, S.; Ciolfi, M.; Brugnoli, E.; Lauteri, M. Isoscapes of carbon and oxygen stable isotope compositions in tracing authenticity and geographical origin of Italian extra-virgin olive oils. Food Chem. 2016, 202, 291–301. [Google Scholar] [CrossRef]
- Danezis, G.P.; Tsagkaris, A.S.; Brusic, V.; Georgiou, C.A. Food authentication: State of the art and prospects. Curr. Opin. Food Sci. 2016, 10, 22–31. [Google Scholar] [CrossRef]
- Drivelos, S.A.; Georgiou, C.A. Multi-element and multi-isotope ratio analysis to determine the geographical origin of foods in the European Union. Trends Anal. Chem. 2012, 40, 38–51. [Google Scholar] [CrossRef]
- Gonzalvez, A.; Armenta, S.; de la Guardia, M. Trace-element composition and stable-isotope ratio for discrimination of foods with Protected Designation of Origin. Trends Anal. Chem. 2009, 28, 1295–1311. [Google Scholar] [CrossRef]
- Medini, M.; Janin, M.; Verdoux, P.; Techer, I. Methodological development for 87Sr/86Sr measurement in olive oil and preliminary discussion of its use for geographical traceability of PDO Nîmes (France). Food Chem. 2015, 171, 78–83. [Google Scholar] [CrossRef]
- Tescione, I.; Marchionni, S.; Casalini, M.; Vignozzi, N.; Mattei, M.; Conticelli, S. 87Sr/86Sr isotopes in grapes of different cultivars: A geochemical tool for geographic traceability of agriculture products. Food Chem. 2018, 258, 374–380. [Google Scholar] [CrossRef] [Green Version]
- Issaoui, M.; Delgado, A.M.; Caruso, G.; Micali, M.; Barbera, M.; Atrous, H.; Chammem, N. Phenols, flavors, and the mediterranean diet. J. AOAC Int. 2020, 103, 915–924. [Google Scholar] [CrossRef]
- Barbera, M. Reuse of food waste and wastewater as a source of polyphenolic compounds to use as food additives. J. AOAC Int. 2020, 103, 906–914. [Google Scholar] [CrossRef]
- Tripoli, E.; Giammanco, M.; Tabacchi, G.; Di Majo, D.; Giammanco, S.; La Guardia, M. The phenolic compounds of olive oil: Structure, biological activity and beneficial effects on human health. Nutr. Res. Rev. 2005, 18, 98–112. [Google Scholar] [CrossRef]
- Hidalgo, M.J.; Pozzi, M.T.; Furlong, O.J.; Marchevsky, E.J.; Pellerano, R.G. Classification of organic olives based on chemometric analysis of elemental data. Microchem. J. 2018, 142, 30–35. [Google Scholar] [CrossRef]
- Kang, X.; Zhao, Y.; Shang, D.; Zhai, Y.; Ning, J.; Sheng, X. Elemental analysis of sea cucumber from five major production sites in China: A chemometric approach. Food Control 2018, 94, 361–367. [Google Scholar] [CrossRef]
- Luykx, D.M.A.M.; van Ruth, S.M. An overview of analytical methods for determining the geographical origin of food products. Food Chem. 2008, 107, 897–911. [Google Scholar] [CrossRef]
- Sayago, A.; González-Domínguez, R.; Beltrán, R.; Fernández-Recamales, A. Combination of complementary data mining methods for geographical characterization of extra virgin olive oils based on mineral composition. Food Chem. 2018, 261, 42–50. [Google Scholar] [CrossRef]
- Balaram, V. Rare earth elements: A review of applications, occurrence, exploration, analysis, recycling, and environmental impact. Geosci. Front. 2019, 10, 1285–1303. [Google Scholar] [CrossRef]
- Farmaki, E.G.; Thomaidis, N.S.; Minioti, K.S.; Ioannou, E.; Georgiou, C.A.; Efstathiou, C.E. Geographical characterization of greek olive oils using rare earth elements content and supervised chemometric techniques. Anal. Lett. 2012, 45, 920–932. [Google Scholar] [CrossRef]
- Drivelos, S.A.; Danezis, G.P.; Haroutounian, S.A.; Georgiou, C.A. Rare earth elements minimal harvest year variation facilitates robust geographical origin discrimination: The case of PDO “Fava Santorinis”. Food Chem. 2016, 213, 238–245. [Google Scholar] [CrossRef]
- Taylor, A.; Barlow, N.; Day, M.P.; Hill, S.; Martine, N.; Patriarca, M. Atomic Spectrometry Update: Review of advances in the analysis of clinical and biological materials foods and beverages. J. Anal. At. Spectrom. 2018, 33, 338–382. [Google Scholar] [CrossRef]
- García-González, D.L.; Aparicio, R. Research in olive oil: Challenges for the near future. J. Agric. Food Chem. 2010, 58, 12569–12577. [Google Scholar] [CrossRef]
- Otero, N.; Vitòria, L.; Soler, A.; Canals, A. Fertiliser characterisation: Major, trace and rare earth elements. Appl. Geochem. 2005, 20, 1473–1488. [Google Scholar] [CrossRef]
- Joebstl, D.; Bandoniene, D.; Meisel, T.; Chatzistathis, S. Identification of the geographical origin of pumpkin seed oil by the use of rare earth elements and discriminant analysis. Food Chem. 2010, 123, 1303–1309. [Google Scholar] [CrossRef]
- Durante, C.; Bertacchini, L.; Bontempo, L.; Camin, F.; Manzini, D.; Lambertini, P.; Marchetti, A.; Paolini, M. From soil to grape and wine: Variation of light and heavy elements isotope ratios. Food Chem. 2016, 210, 648–659. [Google Scholar] [CrossRef]
- Kabata-Pendias, A. Soil–plant transfer of trace elements. An environmental issue. Geoderma 2004, 122, 143–149. [Google Scholar] [CrossRef]
- Liang, T.; Ding, S.; Song, W.; Chong, Z.; Zhang, C.; Li, H. A review of fractionations of rare earth elements in plant. J. Rare Earths 2008, 26, 7–15. [Google Scholar] [CrossRef]
- Tyler, G. Rare earth elements in soil and plant systems—A review. Plant Soil 2004, 267, 191–206. [Google Scholar] [CrossRef]
- Markert, B. Instrumental Multielement Analysis of Plant Samples; Osnabrueck University: Osnabrueck, Germany, 1993; ISBN 3-527-28297-1. [Google Scholar]
- Barbera, M.; Zuddas, P.; Palazzolo, E.; Saiano, F. The distribution of Rare Earth Elements discriminates the growth substrate of Vitis vinifera L. Chemosphere 2021, 266, 128993. [Google Scholar] [CrossRef]
- Censi, P.; Saiano, F.; Pisciotta, A.; Tuzzolino, N. Geochemical behaviour of rare earths in Vitis vinifera grafted onto different rootstocks and growing on several soils. Sci. Total Environ. 2014, 473, 597–608. [Google Scholar] [CrossRef]
- Pisciotta, A.; Tutone, L.; Saiano, F. Distribution of YLOID in soil-grapevine system (Vitis vinifera L.) as tool for geographical characterization of agro-food products. A two years case study on different grafting combinations. Food Chem. 2017, 221, 1214–1220. [Google Scholar] [CrossRef] [PubMed]
- Crescimanno, G.; Garofalo, P. Management of irrigation with saline water incracking clay soils. Soil Sci. Soc. Am. J. 2006, 70, 1774–1787. [Google Scholar] [CrossRef]
- Samczynski, Z.; Dybczynski, R.S.; Polkowska-Motrenko, H.; Chajduk, E.; Pyszynska, M.; Danko, B.; Czerska, E.; Kulisa, K.; Doner, K.; Kalbarczyk, P. Two new reference materials based on tobacco leaves: Certification for over a dozen of toxic and essential elements. Sci. World J. 2012, 2012, 216380. [Google Scholar] [CrossRef] [PubMed]
- Brioschi, L.; Steinmann, M.; Lucot, E.; Pierret, M.C.; Stille, P.; Prunier, J.; Badot, P.M. Transfer of rare earth elements (REE) from natural soil to plant systems: Implications for the environmental availability of anthropogenic REE. Plant Soil 2013, 366, 143–163. [Google Scholar] [CrossRef]
- Wedepohl, K.H. The composition of the continental crust. Geochim. Cosmochim. Acta 1995, 59, 1217–1232. [Google Scholar] [CrossRef]
- Byrne, R.H.; Li, B. Comparative complexation behavior of the rare earths. Geochim. Cosmochim. Acta 1995, 59, 4575–4589. [Google Scholar] [CrossRef]
- Laveuf, C.; Cornu, S. A review on the potentiality of Rare Earth Elements to trace pedogenetic processes. Geoderma 2009, 154, 2. [Google Scholar] [CrossRef]
- Beltrán, B.; Sánchez-Astudillo, M.; Aparicio, R.; García-González, D.L. Geographical traceability of virgin olive oils from south-western Spain by their multi-elemental composition. Food Chem. 2015, 169, 350–357. [Google Scholar] [CrossRef]
- Pošćić, F.; Žanetić, M.; Fiket, Z.; Furdek Turk, M.; Mikac, N.; Bačić, N.; Lučić, M.; Romić, M.; Bakić, H.; Jukić Špika, M.; et al. Accumulation and partitioning of rare earth elements in olive trees and extra virgin olive oil from Adriatic coastal region. Plant Soil 2020, 448, 133–151. [Google Scholar] [CrossRef]
Figure 1.
(a) ∑[HREEUCC] vs. ∑[LREEUCC] relation for all Campo Carboj soil samples considering both treatments (pseudo-total and bioavailable). The scales are logarithmic. (b) UCC-normalised REE patterns of Campo Carboj soils. Averaged values with standard deviation for both pseudo total and bioavailability treatments.
Figure 1.
(a) ∑[HREEUCC] vs. ∑[LREEUCC] relation for all Campo Carboj soil samples considering both treatments (pseudo-total and bioavailable). The scales are logarithmic. (b) UCC-normalised REE patterns of Campo Carboj soils. Averaged values with standard deviation for both pseudo total and bioavailability treatments.
Figure 2.
∑[HREEUCC] vs. ∑[LREEUCC] relation for all Campo Carboj olive pulp samples.
Figure 3.
UCC-normalised REE pattern of Campo Carboj olive samples (averaged values with standard deviation for all samples).
Figure 3.
UCC-normalised REE pattern of Campo Carboj olive samples (averaged values with standard deviation for all samples).
Figure 4.
(a) ∑[HREECCarboj] vs. ∑[LREECCarboj] relation for all olive pulp samples. (b) Pseudo-total and Bioavailability Campo Carboj-normalised REE patterns (Kd) of investigated olive oil samples.
Figure 4.
(a) ∑[HREECCarboj] vs. ∑[LREECCarboj] relation for all olive pulp samples. (b) Pseudo-total and Bioavailability Campo Carboj-normalised REE patterns (Kd) of investigated olive oil samples.
Table 1.
The indigenous Sicilian olive cultivars studied.
| N | Cultivar |
|---|---|
| 1 | Pizzutella |
| 2 | Nuciddara |
| 3 | Verdella |
| 4 | Rotondella |
| 5 | Selvatico |
| 6 | Ogliara |
| 7 | Tonda Iblea 1 |
| 8 | Zaituna |
| 9 | Nocellara del Belice |
| 10 | Minuta |
| 11 | Cerasuola 1 |
| 12 | Pizzo di Corvo |
| 13 | Tonda Iblea 2 |
| 14 | Passulunara |
| 15 | Moresca 1 |
| 16 | Opera Pia Castelnuovo |
| 17 | Nocellara Belice |
| 18 | Olivo di Castiglione |
| 19 | Bariddara o Barilara |
| 20 | Moresca 2 |
| 21 | Nocellara Belice SO |
| 22 | Iacona |
| 23 | Nocellara Messinese |
| 24 | Monaca |
| 25 | Cacaridduna |
| 26 | Cirasuola |
| 27 | Tonda Iblea 3 |
| 28 | Ebano Ita |
| 29 | Cerasuola 2 |
| 30 | Tunnulidda |
| 31 | Moresca 3 |
| 32 | Vetrana |
| 33 | Fastucara (Aragona) |
| 34 | Lunga del Vassallo |
| 35 | Ebano |
| 36 | Cerasuola 3 |
| 37 | Bottone di gallo |
| 38 | Passulunara (Naro) |
Table 2.
Concentrations of REE, from analysis for each olive pulp cultivar (Table 1), averaged values with standard deviations, in nmoles Kg−1 (** = p ≤ 0.01).
Table 2.
Concentrations of REE, from analysis for each olive pulp cultivar (Table 1), averaged values with standard deviations, in nmoles Kg−1 (** = p ≤ 0.01).
| Cv | La | Ce | Pr | Nd | Sm | Eu | Gd | Tb | Dy | Y | Ho | Er | Tm | Yb | Lu | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| av | ±σ | av | ±σ | av | ±σ | av | ±σ | av | ±σ | av | ±σ | av | ±σ | av | ±σ | av | ±σ | av | ±σ | av | ±σ | av | ±σ | av | ±σ | av | ±σ | av | ±σ | |
| 1 | 31.5 | 0.5 | 60.5 | 1.0 | 6.8 | 0.2 | 25.6 | 0.6 | 6.0 | 0.4 | 2.5 | 0.3 | 5.3 | 0.3 | 0.83 | 0.05 | 3.5 | 0.1 | 30.3 | 1.4 | 0.73 | 0.03 | 2.1 | 0.1 | 0.33 | 0.02 | 1.6 | 0.1 | 0.35 | 0.01 |
| 2 | 15.0 | 0.5 | 28.0 | 1.2 | 3.5 | 0.2 | 12.8 | 0.7 | 3.7 | 0.2 | 2.3 | 0.1 | 2.9 | 0.1 | 0.42 | 0.03 | 2.0 | 0.1 | 16.5 | 0.7 | 0.38 | 0.01 | 1.5 | 0.1 | 0.21 | 0.03 | 1.0 | 0.1 | 0.22 | 0.02 |
| 3 | 26.7 | 0.9 | 50.7 | 0.8 | 6.0 | 0.2 | 21.0 | 0.4 | 5.0 | 0.5 | 2.0 | 0.1 | 4.6 | 0.2 | 0.64 | 0.04 | 2.8 | 0.2 | 24.0 | 0.7 | 0.52 | 0.02 | 1.6 | 0.2 | 0.25 | 0.02 | 1.3 | 0.1 | 0.28 | 0.02 |
| 4 | 18.4 | 0.2 | 35.3 | 1.2 | 4.5 | 0.1 | 16.6 | 0.4 | 4.3 | 0.2 | 1.9 | 0.1 | 3.6 | 0.1 | 0.54 | 0.02 | 2.4 | 0.2 | 19.2 | 0.7 | 0.46 | 0.05 | 1.6 | 0.1 | 0.23 | 0.02 | 1.2 | 0.1 | 0.26 | 0.02 |
| 5 | 22.3 | 0.2 | 42.4 | 0.9 | 5.1 | 0.1 | 19.8 | 0.2 | 4.6 | 0.2 | 2.6 | 0.1 | 4.1 | 0.1 | 0.59 | 0.06 | 2.6 | 0.2 | 22.3 | 0.1 | 0.51 | 0.05 | 1.8 | 0.6 | 0.25 | 0.02 | 1.2 | 0.1 | 0.27 | 0.01 |
| 6 | 21.4 | 1.1 | 41.6 | 1.8 | 5.2 | 0.3 | 19.4 | 1.0 | 4.5 | 0.3 | 2.4 | 0.2 | 4.1 | 0.4 | 0.56 | 0.01 | 2.6 | 0.1 | 22.6 | 1.7 | 0.54 | 0.03 | 1.7 | 0.2 | 0.23 | 0.01 | 1.3 | 0.1 | 0.24 | 0.04 |
| 7 | 20.4 | 0.3 | 39.4 | 0.9 | 4.9 | 0.4 | 17.9 | 0.6 | 4.8 | 0.7 | 2.4 | 0.3 | 4.1 | 0.4 | 0.74 | 0.26 | 2.7 | 0.4 | 20.6 | 0.5 | 0.59 | 0.16 | 1.9 | 0.4 | 0.39 | 0.23 | 1.4 | 0.2 | 0.43 | 0.23 |
| 8 | 12.0 | 0.1 | 22.9 | 0.3 | 2.8 | 0.1 | 10.3 | 0.3 | 3.0 | 0.3 | 1.2 | 0.1 | 2.3 | 0.1 | 0.36 | 0.02 | 1.5 | 0.1 | 12.2 | 0.5 | 0.33 | 0.03 | 1.2 | 0.1 | 0.20 | 0.01 | 0.9 | 0.1 | 0.20 | 0.01 |
| 9 | 18.7 | 0.2 | 36.2 | 0.7 | 4.0 | 0.1 | 15.3 | 0.4 | 4.0 | 0.3 | 1.3 | 0.1 | 3.5 | 0.1 | 0.53 | 0.04 | 2.2 | 0.2 | 19.1 | 0.4 | 0.45 | 0.03 | 1.6 | 0.2 | 0.22 | 0.02 | 1.2 | 0.1 | 0.24 | 0.02 |
| 10 | 49.7 | 1.7 | 96.9 | 5.9 | 11.4 | 0.3 | 43.4 | 1.6 | 9.1 | 0.4 | 4.1 | 0.1 | 8.4 | 0.2 | 1.19 | 0.05 | 5.3 | 0.2 | 52.8 | 1.3 | 0.98 | 0.04 | 3.0 | 0.2 | 0.41 | 0.02 | 2.3 | 0.1 | 0.40 | 0.02 |
| 11 | 11.4 | 0.1 | 25.0 | 0.4 | 3.2 | 0.1 | 13.8 | 0.2 | 4.0 | 0.2 | 2.0 | 0.1 | 3.4 | 0.1 | 0.50 | 0.05 | 2.3 | 0.2 | 21.7 | 0.4 | 0.47 | 0.02 | 1.4 | 0.1 | 0.26 | 0.01 | 1.1 | 0.1 | 0.22 | 0.03 |
| 12 | 8.2 | 0.2 | 16.2 | 0.1 | 2.2 | 0.1 | 8.7 | 0.4 | 2.6 | 0.4 | 1.4 | 0.2 | 2.1 | 0.1 | 0.36 | 0.03 | 1.4 | 0.1 | 10.0 | 0.1 | 0.30 | 0.04 | 1.0 | 0.1 | 0.18 | 0.02 | 0.9 | 0.1 | 0.16 | 0.02 |
| 13 | 20.6 | 0.4 | 40.8 | 0.4 | 4.6 | 0.1 | 18.5 | 0.9 | 4.6 | 0.2 | 2.5 | 0.1 | 4.3 | 0.3 | 0.65 | 0.04 | 2.7 | 0.1 | 24.6 | 0.7 | 0.61 | 0.04 | 1.7 | 0.2 | 0.29 | 0.03 | 1.5 | 0.1 | 0.27 | 0.03 |
| 14 | 90.7 | 0.4 | 186.1 | 0.5 | 31.1 | 0.1 | 134.7 | 0.5 | 32.1 | 0.3 | 7.5 | 0.1 | 30.9 | 0.3 | 4.40 | 0.10 | 22.8 | 0.4 | 189.1 | 0.4 | 4.51 | 0.02 | 12.4 | 0.2 | 1.73 | 0.05 | 10.4 | 0.1 | 1.59 | 0.05 |
| 15 | 17.6 | 0.2 | 34.5 | 0.1 | 4.3 | 0.1 | 16.0 | 0.5 | 4.1 | 0.3 | 1.9 | 0.2 | 3.7 | 0.1 | 0.55 | 0.02 | 2.5 | 0.1 | 21.3 | 0.1 | 0.51 | 0.03 | 1.6 | 0.2 | 0.24 | 0.02 | 1.2 | 0.1 | 0.25 | 0.03 |
| 16 | 17.9 | 0.4 | 33.5 | 0.4 | 4.4 | 0.1 | 16.4 | 0.4 | 4.5 | 0.6 | 1.4 | 0.1 | 3.6 | 0.2 | 0.56 | 0.01 | 2.4 | 0.2 | 18.5 | 0.1 | 0.44 | 0.01 | 1.4 | 0.1 | 0.26 | 0.02 | 1.2 | 0.1 | 0.23 | 0.02 |
| 17 | 9.0 | 0.3 | 17.4 | 0.5 | 2.2 | 0.1 | 8.6 | 0.2 | 2.6 | 0.1 | 1.1 | 0.1 | 2.0 | 0.1 | 0.33 | 0.02 | 1.5 | 0.2 | 10.2 | 0.1 | 0.31 | 0.02 | 1.0 | 0.1 | 0.19 | 0.01 | 0.9 | 0.1 | 0.19 | 0.05 |
| 18 | 6.5 | 0.2 | 11.9 | 0.1 | 1.6 | 0.1 | 5.8 | 0.1 | 2.3 | 0.2 | 1.0 | 0.1 | 1.5 | 0.2 | 0.25 | 0.01 | 1.1 | 0.1 | 8.1 | 0.1 | 0.20 | 0.02 | 0.8 | 0.1 | 0.14 | 0.01 | 0.7 | 0.1 | 0.15 | 0.03 |
| 19 | 17.5 | 1.0 | 34.0 | 0.6 | 4.2 | 0.2 | 16.2 | 0.6 | 4.3 | 0.2 | 1.4 | 0.1 | 3.8 | 0.2 | 0.55 | 0.04 | 2.4 | 0.1 | 19.3 | 0.3 | 0.47 | 0.03 | 1.6 | 0.1 | 0.25 | 0.01 | 1.3 | 0.1 | 0.26 | 0.02 |
| 20 | 18.1 | 0.1 | 36.2 | 0.4 | 4.4 | 0.1 | 17.2 | 0.5 | 3.9 | 0.3 | 1.4 | 0.1 | 3.6 | 0.1 | 0.56 | 0.03 | 2.2 | 0.1 | 21.3 | 0.1 | 0.44 | 0.03 | 1.7 | 0.2 | 0.23 | 0.01 | 1.1 | 0.1 | 0.23 | 0.02 |
| 21 | 16.1 | 0.3 | 31.1 | 1.1 | 3.8 | 0.1 | 14.4 | 0.1 | 4.1 | 0.1 | 1.6 | 0.1 | 3.3 | 0.1 | 0.50 | 0.06 | 2.2 | 0.1 | 17.9 | 0.5 | 0.44 | 0.03 | 1.5 | 0.1 | 0.27 | 0.02 | 1.3 | 0.1 | 0.25 | 0.04 |
| 22 | 15.0 | 0.2 | 28.7 | 0.8 | 3.6 | 0.2 | 13.6 | 0.7 | 3.2 | 1.0 | 1.1 | 0.5 | 2.7 | 0.6 | 0.42 | 0.07 | 2.0 | 0.2 | 14.7 | 0.7 | 0.38 | 0.01 | 1.2 | 0.1 | 0.20 | 0.03 | 1.2 | 0.2 | 0.20 | 0.04 |
| 23 | 19.6 | 1.1 | 37.7 | 1.8 | 4.4 | 0.2 | 16.5 | 0.5 | 4.2 | 0.3 | 1.9 | 0.2 | 3.3 | 0.2 | 0.49 | 0.02 | 2.1 | 0.2 | 17.2 | 0.9 | 0.45 | 0.03 | 1.3 | 0.1 | 0.24 | 0.03 | 1.3 | 0.1 | 0.23 | 0.04 |
| 24 | 20.2 | 0.5 | 38.2 | 1.7 | 4.5 | 0.2 | 16.7 | 1.1 | 4.4 | 0.3 | 1.3 | 0.1 | 3.4 | 0.2 | 0.52 | 0.02 | 2.3 | 0.1 | 18.4 | 1.2 | 0.45 | 0.04 | 1.6 | 0.1 | 0.26 | 0.01 | 1.7 | 0.4 | 0.31 | 0.05 |
| 25 | 25.0 | 2.4 | 49.2 | 4.4 | 5.8 | 0.6 | 22.2 | 2.6 | 5.3 | 0.6 | 2.0 | 0.2 | 4.4 | 0.6 | 0.67 | 0.01 | 2.9 | 0.3 | 27.1 | 1.9 | 0.58 | 0.05 | 1.9 | 0.2 | 0.34 | 0.06 | 1.4 | 0.2 | 0.27 | 0.03 |
| 26 | 20.4 | 2.1 | 40.7 | 5.0 | 4.8 | 0.6 | 18.8 | 2.3 | 4.6 | 0.5 | 1.5 | 0.2 | 3.5 | 0.4 | 0.53 | 0.03 | 2.5 | 0.2 | 21.2 | 2.1 | 0.50 | 0.05 | 1.6 | 0.3 | 0.26 | 0.05 | 1.5 | 0.2 | 0.32 | 0.03 |
| 27 | 19.7 | 1.1 | 36.7 | 2.5 | 4.5 | 0.3 | 17.3 | 0.6 | 4.8 | 0.3 | 2.7 | 0.4 | 3.8 | 0.2 | 0.57 | 0.06 | 2.5 | 0.2 | 20.1 | 2.0 | 0.53 | 0.05 | 2.0 | 0.3 | 0.33 | 0.03 | 1.3 | 0.1 | 0.23 | 0.02 |
| 28 | 15.4 | 0.2 | 29.3 | 0.4 | 3.4 | 0.1 | 13.0 | 0.3 | 3.3 | 0.2 | 1.3 | 0.1 | 2.8 | 0.1 | 0.44 | 0.01 | 1.9 | 0.1 | 14.6 | 0.1 | 0.38 | 0.01 | 1.4 | 0.1 | 0.27 | 0.01 | 1.4 | 0.2 | 0.31 | 0.02 |
| 29 | 21.9 | 1.9 | 41.7 | 3.6 | 4.9 | 0.4 | 18.4 | 1.8 | 4.7 | 0.3 | 2.5 | 0.2 | 3.9 | 0.2 | 0.63 | 0.06 | 2.5 | 0.1 | 20.9 | 1.8 | 0.51 | 0.05 | 1.9 | 0.1 | 0.30 | 0.05 | 1.4 | 0.2 | 0.31 | 0.01 |
| 30 | 25.0 | 0.8 | 46.9 | 1.3 | 5.5 | 0.1 | 21.0 | 0.6 | 4.9 | 0.6 | 2.9 | 0.1 | 4.2 | 0.1 | 0.65 | 0.02 | 2.8 | 0.1 | 25.0 | 0.3 | 0.55 | 0.02 | 1.9 | 0.1 | 0.30 | 0.03 | 1.5 | 0.1 | 0.26 | 0.04 |
| 31 | 22.4 | 0.6 | 40.9 | 1.1 | 5.0 | 0.2 | 18.3 | 0.5 | 4.7 | 0.3 | 2.4 | 0.1 | 3.9 | 0.2 | 0.58 | 0.01 | 2.6 | 0.1 | 19.7 | 0.9 | 0.52 | 0.02 | 1.8 | 0.1 | 0.31 | 0.03 | 1.4 | 0.1 | 0.31 | 0.03 |
| 32 | 29.1 | 1.1 | 54.7 | 1.2 | 6.4 | 0.1 | 23.7 | 0.2 | 5.7 | 0.2 | 2.3 | 0.1 | 5.5 | 0.2 | 0.74 | 0.02 | 3.1 | 0.1 | 23.4 | 0.7 | 0.77 | 0.04 | 1.9 | 0.1 | 0.35 | 0.02 | 1.2 | 0.1 | 0.27 | 0.01 |
| 33 | 21.5 | 0.8 | 34.9 | 1.3 | 4.6 | 0.2 | 17.6 | 0.8 | 4.1 | 0.1 | 3.0 | 0.4 | 4.6 | 0.2 | 0.55 | 0.05 | 2.5 | 0.2 | 17.4 | 0.6 | 0.53 | 0.02 | 1.7 | 0.2 | 0.30 | 0.05 | 1.2 | 0.1 | 0.24 | 0.02 |
| 34 | 24.9 | 0.7 | 48.1 | 0.7 | 5.3 | 0.1 | 20.4 | 0.5 | 4.8 | 0.2 | 2.6 | 0.1 | 4.7 | 0.1 | 0.65 | 0.03 | 2.8 | 0.2 | 21.8 | 1.5 | 0.58 | 0.05 | 1.8 | 0.1 | 0.31 | 0.04 | 1.9 | 0.1 | 0.36 | 0.03 |
| 35 | 31.4 | 1.3 | 58.8 | 5.2 | 7.2 | 0.2 | 27.3 | 1.1 | 6.3 | 0.4 | 2.3 | 0.2 | 7.2 | 0.3 | 0.89 | 0.06 | 3.8 | 0.2 | 32.0 | 1.6 | 0.78 | 0.03 | 2.3 | 0.3 | 0.37 | 0.02 | 1.4 | 0.1 | 0.23 | 0.01 |
| 36 | 19.8 | 1.7 | 37.3 | 3.3 | 4.6 | 0.3 | 18.8 | 1.8 | 4.6 | 0.2 | 2.2 | 0.3 | 5.4 | 0.4 | 0.62 | 0.03 | 2.7 | 0.3 | 18.1 | 1.8 | 0.56 | 0.08 | 1.7 | 0.1 | 0.33 | 0.04 | 2.3 | 0.4 | 0.44 | 0.09 |
| 37 | 50.5 | 3.0 | 100.3 | 6.7 | 11.7 | 1.1 | 44.0 | 5.3 | 9.5 | 0.5 | 3.4 | 0.5 | 10.0 | 3.4 | 1.22 | 0.20 | 5.3 | 0.4 | 46.6 | 2.3 | 1.01 | 0.14 | 3.1 | 0.3 | 0.44 | 0.09 | 1.6 | 0.1 | 0.31 | 0.04 |
| 38 | 21.0 | 1.4 | 37.5 | 4.7 | 4.8 | 0.4 | 18.0 | 1.1 | 4.4 | 0.2 | 2.8 | 0.1 | 4.7 | 0.3 | 0.59 | 0.02 | 2.6 | 0.2 | 19.6 | 1.5 | 0.56 | 0.04 | 1.8 | 0.1 | 0.36 | 0.03 | 1.0 | 0.1 | 0.20 | 0.01 |
| Sign. | ** | ** | ** | ** | ** | ** | ** | ** | ** | ** | ** | ** | ** | ** | ** | |||||||||||||||
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
MDPI and ACS Style
Barbera, M.; Saiano, F.; Tutone, L.; Massenti, R.; Pisciotta, A. The Pattern of Rare Earth Elements Like a Possible Helpful Tool in Traceability and Geographical Characterization of the Soil-Olive System (Olea europaea L.). Plants 2022, 11, 2579. https://doi.org/10.3390/plants11192579
AMA Style
Barbera M, Saiano F, Tutone L, Massenti R, Pisciotta A. The Pattern of Rare Earth Elements Like a Possible Helpful Tool in Traceability and Geographical Characterization of the Soil-Olive System (Olea europaea L.). Plants. 2022; 11(19):2579. https://doi.org/10.3390/plants11192579
Chicago/Turabian StyleBarbera, Marcella, Filippo Saiano, Livia Tutone, Roberto Massenti, and Antonino Pisciotta. 2022. "The Pattern of Rare Earth Elements Like a Possible Helpful Tool in Traceability and Geographical Characterization of the Soil-Olive System (Olea europaea L.)" Plants 11, no. 19: 2579. https://doi.org/10.3390/plants11192579
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
