scholarly journals ICP–MS Analysis of Multi-Elemental Profile of Greek Wines and Their Classification According to Variety, Area and Year of Production

Separations ◽  
2021 ◽  
Vol 8 (8) ◽  
pp. 119
Author(s):  
Konstantina Pasvanka ◽  
Marios Kostakis ◽  
Maria Tarapoulouzi ◽  
Pavlos Nisianakis ◽  
Nikolaos S. Thomaidis ◽  
...  

Major, minor and trace elements in wines from Greece were determined by inductively coupled plasma–mass spectrometry (ICP–MS). The concentrations of 44 elements (Na, Mg, P, K, Ca, Cu, Co, Cr, Zn, Sn, Fe, Mn, Li, Be, B, V, Sr, Ba, Al, Ag, Ni, As, Sn, Hg, Pb, Sb, Cd, Ti, Ga, Zr, Nb, Pd, Te, La, Sm, Ho, Tm, Yb, W, Os, Au, Tl, Th, U) in 90 white and red wines from six different regions in Greece for two consecutive vinification years, 2017 and 2018, were determined. Results for the elements aforementioned were evaluated by multivariate statistical methods, such as discriminant analysis and cluster analysis, and the wines were discriminated according to wine variety and geographical origin. Due to the specific choice of the analytes for multivariate statistical investigation, a prediction rate by cross-validation of 98% could be achieved. The aim of this study was not only to reveal specific relationships between the wine samples or between the chemical variables in order to classify the wines from different regions and varieties according to their elemental profile (wine authentication), but also to observe the annual fluctuation in the mineral content of the studied wine samples.

2014 ◽  
Vol 32 (No. 4) ◽  
pp. 354-359 ◽  
Author(s):  
M. Jarošová ◽  
D. Milde ◽  
M. Kuba

We determined the mineral nutrients and toxic elements (Ca, Cu, Fe, Mg, Zn, Cd, Cr, Mn, Ni, and Pb) in five types of coffee by atomic absorption spectrometry and inductively coupled plasma mass spectrometry. The decomposition of the samples took place in a microwave digestion system with HNO<sub>3</sub> and H<sub>2</sub>O<sub>2</sub> reagents. Partial validation of the method was performed by using the certified reference material (NCS ZC 73014). Univariate and multivariate statistical methods were used to compare both the coffee samples and the techniques used. No significant differences were found between two used methods. Significant differences occurred between the coffee samples but only the application of multivariate statistics helps to distinguish among samples from different locations.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Trung Nguyen-Quang ◽  
Minh Bui-Quang ◽  
Minh Truong-Ngoc

Inductively coupled plasma mass spectrometry (ICP-MS) analytical method was used to determine the content of 40 elements in 38 soybean samples (Glycine Max) from 4 countries. Multivariate statistical methods, such as principal components analysis (PCA), were performed to analyze the obtained data to establish the provenance of the soybeans. Although soybean is widely marketed in many countries, no universal method is used to discriminate the origin of these cereals. Our study introduced the initial step to the identification of the geographical origin of commercial soybean marketed in Vietnam. The analysis pointed out that there are significant differences in the mean of 33 of the 40 analyzed elements among 4 countries’ soybean samples, namely, 11B, 27Al, 44Ca, 45Sc, 47Ti, 55Mn, 56Fe, 59Co, 60Ni, 63Cu, 66Zn, 69Ga, 75As, 78Se, 85Rb, 88Sr, 89Y, 90Zr, 93Nb, 95Mo, 103Rh, 137Ba, 163Dy, 165Ho, 175Lu, 178Hf, 181Ta, 182W, 185Re, 197Au, 202Hg, 205Tl, and 208Pb. The PCA analysis showed that the soybean samples can be classified correctly according to their original locations. This research can be used as a prerequisite for future studies of using the combination of elemental composition analysis with statistical classification methods for an accurate provenance establishment of soybean, which determined a variation of key markers for the original discrimination of soybean.


Metabolomics ◽  
2021 ◽  
Vol 17 (10) ◽  
Author(s):  
J. Iacovacci ◽  
W. Lin ◽  
J. L. Griffin ◽  
R. C. Glen

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.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Trung Nguyen-Quang ◽  
Giang Do-Hoang ◽  
Minh Truong-Ngoc

Statistical interpretation of the concentrations of 42 elements, determined using solution-based inductively coupled plasma mass spectrometry (ICP-MS) analysis and multivariate statistical methods, such as principal components analysis (PCA), was used to establish the provenance of pakchoi (Brassica rapa L. ssp. chinensis) from 6 areas in Ha Noi, Vietnam. Although pakchoi is widely cultivated and manufactured, no universal method is used to discriminate the origin of this vegetable. Our study introduced for the first time a method to classify pakchoi in small geographical areas. 42 metallic elements of pakchoi were detected by ICP-MS, which were further analyzed using multivariate statistical analysis to perform clusters based on the geographical locations. Eleven elements, i.e., 28Si; 56Fe; 59Co; 63Cu; 69Ga; 75As; 85Rb; 93Nb; 107Ag; 118Sn, and 137Ba, were identified as discriminators to distinguish pakchoi from those areas. Results from this study presented a new method to discriminant the geographical origins of pakchoi, which could apply to other types of vegetables on the food market.


2020 ◽  
Vol 67 (3-4) ◽  
pp. 171-180
Author(s):  
Ivna Dragojević Müller ◽  
Blanka Tariba ◽  
Dubravka Vitali Čepo ◽  
Lovorka Vujić ◽  
Mirko Ruščić ◽  
...  

ABSTRACT The pods, seeds and leaves of the carob tree (Ceratonia siliqua L.) are widely used in the pharmaceutical industry, and especially in the food industry. In this study, the mineral content was investigated in carob pods and leaves in twelve Croatian carob populations. Macro and microelement contents, as highly important nutrients, were determined by inductively coupled plasma mass spectrometry (ICP-MS). Total ash content, determined by the gravimetric method, ranged from 2.30 to 2.97% in pods and from 4.95 to 7.90% in leaves. Among the macroelements, K content was highest in pods (9,020.09–11,208.97 mg/kg), while Ca was highest in leaves (11,059.67–22,756.81 mg/kg). Microelement contents ranged from 0.00 mg/kg (Cr) to 136.70 mg/kg (Na) in pods, and from 0.02 mg/kg (Cr) to 243.55 mg/kg (Na) in leaves. The results of the macro and microelement analyses were evaluated using multivariate analysis (PCA and UPGMA).


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adam Sajnóg ◽  
Elwira Koko ◽  
Dariusz Kayzer ◽  
Danuta Barałkiewicz

AbstractIn this paper 13 elements, both physiological and causing toxic effects, were determined by inductively coupled plasma mass spectrometry in roots of 26 species of herbs used in Traditional Chinese Medicine. The herbs were purchased from online shop in two batches 1 year apart to verify the variability of elemental content in time. The multivariate statistical methods—multiple regression, canonical variates and interaction effect analysis—were applied to interpret the data and to show the relationships between elements and two batches of herb roots. The maximum permissible concentration of Cd (0.3 mg kg−1) was exceeded in 7 herb roots which makes 13% of all specimens. The multiple regression analysis revealed the significant relationships between elements: Mg with Sr; V with Pb, As and Ba; Mn with Pb; Fe with As and Ba; Co with Ni and Sr, Cu with Pb, Cd and As; Zn with Pb, Cd, As and Ba. The canonical variates analysis showed that the statistical inference should not be based solely on the type of herb or number of batch because of the underlying interaction effects between those two variables that may be a source of variability of the content of determined elements.


2018 ◽  
Vol 3 (1) ◽  
pp. 8 ◽  
Author(s):  
Jamaluddin Jamaluddin ◽  
Widodo Agustinus

<em><span>Eel fish (Anguilla marmorata Quoy Gaimard) is one of the strategic commodities to be developed because it has high nutritional value such as protein, fatty acid, vitamins and minerals. Minerals are one of the nutrients the body needs for the body's physiological processes. This study aims to determine the amount and mineral content of eel meat Anguilla marmorata Quoy Gaimard) originating from the river Palu and lake Poso. Sampling was done by Purposive sampling method based on type, weight 35-40 gram, size 300-450 mm and location of taking. Mineral testing on eel meat using laboratory experimental with Inductively Coupled Plasma Mass Spectrometry (ICP-MS). The results showed that the mineral content contained in yellow eel fish from Palu river contain</span><span lang="EN-US">s</span><span> potassium 1,519 mg/kg, magnesium 203 mg/kg, zinc 11,2 mg/kg, </span><span lang="EN-US">and </span><span>mercury 0,129 mg/kg; and </span><span lang="EN-US">from the </span><span> Poso lake contain</span><span lang="EN-US">s</span><span> potassium 1,360 mg/kg, magnesium 179 mg/kg, </span><span lang="EN-US">and </span><span>strontium 1.32 mg/kg. Based on this study  can be concluded that there is influence the location again</span><span lang="EN-US">s</span><span>t the amount of mineral content.</span></em>


Antioxidants ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 80
Author(s):  
Evangelos Zoidis ◽  
Athanasios C. Pappas ◽  
Michael Goliomytis ◽  
Panagiotis E. Simitzis ◽  
Kyriaki Sotirakoglou ◽  
...  

The objective of the present study was to investigate the effect of the natural flavonoid quercetin dietary supplementation on the alteration of egg metallome by applying the basic principles of elemental metabolomics. One hundred and ninety-two laying hens were allocated into 4 treatment groups: the control (C) group that was fed with a commercial basal diet and the other experimental groups that were offered the same diet further supplemented with quercetin at 200, 400 and 800 mg per kg of feed (Q2, Q4 and Q8 group, respectively) for 28 days. The diets contained the same vitamin and mineral premix, thus all birds received the same amount of elements since no differences on feed intake existed. The egg elemental profile consisted of As, Ca, Cd, Co, Cr, Cu, Fe, Mg, Mn, Mo, Ni, Pb, Sb, Se, Sr, V, Zn and was determined using inductively coupled plasma mass spectrometry (ICP-MS). Quercetin supplementation altered the elemental profile. Most notably, quercetin altered the element concentrations predominantly in egg shell and albumen. It increased the concentration of Sb while reduced that of Cr and Se in both egg shell and albumen. Moreover, it increased As, Cd in albumen and V in yolk, while compared to the control, reduced As, Cd, Cr, Cu and V and also raised Ca, Fe, Mg and Ni in egg shell. The presence of quercetin led to differentiation of the deposition of certain trace minerals in egg compartments compared to that of hens fed a basal diet, possibly indicating that tailor made eggs for specific nutritional and health requirements could be created in the future.


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