scholarly journals Multi-elemental composition of Slovenian milk: analytical approach and geographical origin determination

ACTA IMEKO ◽  
2016 ◽  
Vol 5 (1) ◽  
pp. 15 ◽  
Author(s):  
Doris Potocnik ◽  
Marijan Necemer ◽  
Darja Mazej ◽  
Radojko Jacimovic ◽  
Nives Ogrinc
Keyword(s):  
Elemental Composition ◽  
Elemental Analysis ◽  
Inductively Coupled Plasma ◽  
Cow Milk ◽  
Elemental Content ◽  
Prediction Ability ◽  
Linear Discriminant ◽  
Milk Samples ◽  
Icp Ms ◽  
Geographical Regions

The main objective in multi-elemental analysis in food is to obtain the best results in the shortest time and with minimal contamination and reagent consumption. Three different methods were investigated in the present study to obtain the elemental content in milk samples: energy dispersive X-ray fluorescence spectrometry (EDXRF), k<sub>0</sub>-instrumental nuclear activation analysis (k<sub>0</sub>-INAA) and the inductively coupled plasma mass spectrometry (ICP-MS). Quality assurance including intercomparison exercises of these measurements proved entirely satisfactory and was typical of that previously established for this technique. It was found that EDXRF was the cheapest, simplest and environmental friendly method for analysis of multi-elemental composition (P, S, Cl, K, Ca, Zn, Br, Rb, Sr) in milk samples, while for determination of Mn, Fe, Cu, Se content and possible identification of pollutants such as As, Cd and Pb ICP-MS was a method of choice due to its excellent sensitivity and accuracy. These two methods were also used to determine the multi-elemental composition in Slovenian raw cow milk from different geographical regions: Alpine, Mediterranean. Dinaric and Panoninan in December 2013. Linear discriminant analysis (LDA) was used to explore multi-elemental analysis of milk samples to obtain classification according to geographical regions. Regional discrimination was most successful taking into account Ca, S, P, K, and Cl with prediction ability of 66.7%.

scholarly journals Quantitative Evaluation of 28 Mineral Elements by Inductively Coupled Plasma/Mass Spectrometry and Its Application in Source Identification of Indian Opium

2005 ◽  
Vol 88 (5) ◽  
pp. 1469-1484 ◽  
Author(s):  
Mohanakrishna R Mudiam ◽  
Sanjukta A Kumar ◽  
Sudhershanan Mahadevan ◽  
Priyankar Ghosh ◽  
Rajendra K Sarin ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Inductively Coupled Plasma ◽  
Analytical Data ◽  
Mineral Elements ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Geographical Regions ◽  
Plasma Mass Spectrometry ◽  
Elemental Data

Abstract An analytical method based on inductively coupled plasma/mass spectrometry (ICP/MS) was developed for the determination of 28 mineral elements (Cr, Mn, Co, Ni, Cu, Zn, Ga, Sr, Cd, Ag, Ba, Pb, Bi Y, La, Ce, Nd, Pr, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, and Lu) in Indian opium samples. The detection limits were found to be in the range of 0.0008–0.45 ng/mL. The recoveries of spiked samples for each element were found to be in the range of 83–106%, with a precision of less than 9%. A total of 124 opium samples from India were analyzed for the distribution pattern of the 28 mineral elements. Quantitative elemental data were subjected to chemometric analysis in order to determine an optimal classifier to evaluate the source of Indian opium. The study indicated that mineral elements might not be the suitable discriminators for the discrimination of licit opium-growing divisions of India. However, the methodology developed and the analytical data on elemental profile may find important forensic application in discriminating Indian opium with that of licit and illicit opium originating from different geographical regions of world.

scholarly journals The Biosorption Capacity of Saccharomyces cerevisiae for Cadmium in Milk

2020 ◽  
Author(s):  
Ramoona Masoud ◽  
Kianoosh Khosravi-Darani ◽  
Anoosheh Sharifan ◽  
Gholam-Hasan Asadi ◽  
Habibollah Younesi
Keyword(s):  
Heavy Metals ◽  
Saccharomyces Cerevisiae ◽  
Metal Concentration ◽  
Inductively Coupled Plasma ◽  
Biomass Concentration ◽  
Biosorption Capacity ◽  
Inductively Coupled ◽  
Milk Samples ◽  
Icp Ms ◽  
Cadmium Absorption

This study aimed to evaluate the capacity of Saccharomyces cerevisiae for Cadmium absorption in Milk. Nowadays one of the most serious problems is heavy metals pollution. Applying microorgaisms as a novel biotechnology is so useful especially in foodstuffs. Among the biosorbents for heavy metals&rsquo; removal, Saccharomyces cerevisiae has got an increasing attention due to its popularity in food industry. In this regard, the effects of some important factors such as the initial metal concentration, biomass concentration and contact time on the biosorption capacity of Saccharomyces cerevisiae were studied. The biosorption was analyzed by the inductively coupled plasma mass spectrometer (ICP-MS). The maximum Cd bioremoval (70%) was at 80 &mu;g/L of this metal concentration in milk samples containing 30&times;108 CFU Saccharomyces cerevisiae at the end of storage time (the 4th day). There were no significant differences in sensory and physicochemical properties of milk samples during storage (p &lt; 0.05). The isotherm studies followed by two popular models; Langmuir and Freundlich and the results showed a better fit to the Langmuir isotherm. All together, the results of this project demonstrated that the approach of using this valuable yeast, could be applied for food and drinks&rsquo; detoxification and producing healthier foods.

scholarly journals Preliminary Investigations into the Source Attribution of Party Sparklers Using Trace Elemental Analysis and Chemometrics

2020 ◽  
Author(s):  
Joshua D'Uva ◽  
David DeTata ◽  
Christopher D. May ◽  
Simon W. Lewis
Keyword(s):  
Elemental Analysis ◽  
Inductively Coupled Plasma ◽  
Principal Component ◽  
Source Attribution ◽  
Trace Elemental Analysis ◽  
Linear Discriminant ◽  
Inductively Coupled ◽  
Discriminant Model ◽  
Source Determination ◽  
Trace Elemental

<p>In Australia, party sparklers are commonly used to initiate or prepare inorganic based homemade explosives (HMEs) as they are the most easily accessible and inexpensive pyrotechnic available on the market. As sparkler residue would be encountered in cases involving these types of devices, the characterisation and source determination of the residue would be beneficial within a forensic investigation. The aim of this study is to demonstrate the potential of using trace elemental profiling coupled with chemometric and other statistical techniques to link a variety of different sparklers to their origin. Inductively coupled plasma – mass spectrometry (ICP-MS) was used to determine the concentration of 50 elements in 48 pre-blast sparkler samples from eight sparkler brands/classes available in Australia. Extracting ground-up sparkler residue in 10% nitric acid for 24 hours was found to give the most reliable quantification. The collected data were analysed using Principal Component Analysis (PCA) to visualise the distribution of the sample data and explore whether the sparkler samples could be classified into their respective brands. ANOVA based feature selection was used to remove elements that did not significantly contribute to the separation between classes. This resulted in the development of a 7-elemental profile, consisting of V, Co, Ni, Sr, Sn, Sb, W, which could be used to correctly classify the samples into eight distinct groups. Linear Discriminant Analysis (LDA) was subsequently used to construct a discriminant model using four out of six samples from each class. The model successfully classified 100% of the samples to their correct sparkler brand. The model also correctly matched 100% of the remaining samples to the correct class. This demonstrates the potential of using trace elemental analysis and chemometrics to correctly identify and discriminate between party sparklers. </p>

scholarly journals Characterization of Musts, Wines, and Sparkling Wines Based on Their Elemental Composition Determined by ICP-OES and ICP-MS

Beverages ◽  
2022 ◽  
Vol 8 (1) ◽  
pp. 3
Author(s):  
Biel Granell ◽  
Anaïs Izquierdo-Llopart ◽  
Àngels Sahuquillo ◽  
José F. López-Sánchez ◽  
Javier Saurina
Keyword(s):  
Elemental Composition ◽  
Inductively Coupled Plasma ◽  
Pinot Noir ◽  
Sparkling Wine ◽  
Chemical Markers ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Components Analysis ◽  
Grape Varieties

Samples from the different processing stages in the elaboration of sparkling wine (cava)—including must, base wine, and sparkling wine—of Pinot Noir and Xarel·lo grape varieties from different vineyard qualities (A, B, C, D) have been analyzed by inductively coupled plasma (ICP) techniques to determine their elemental composition. The resulting data has been used to characterize these products according to oenological features and product qualities. For this purpose, box plot diagrams, bar charts, and principal components analysis (PCA) have been used. The study of the behavior of each given species has pointed out the relevance of some elements as markers or descriptors of winemaking processes. Among others, Cu and K are abundant in musts and their concentrations progressively decrease through the cava production process. S levels suddenly increase at the base wine step (and further decay) due to the addition of sulfites as preserving agents. Finally, concentrations of Na, Ca, Fe, and Mg increase from the first fermentation due to the addition of clarifying agents such as bentonite. PCA has been applied to try to extract solid and global conclusions on trends and chemical markers within the groups of samples more easily and efficiently than more conventional approaches.

scholarly journals The effect of collecting area on the element content of Hungarian acacia honeys

2018 ◽  
pp. 129-138
Author(s):  
Nikolett Czipa ◽  
Andrea Kántor ◽  
Loránd Alexa ◽  
Béla Kovács
Keyword(s):  
Inductively Coupled Plasma ◽  
Geographical Origin ◽  
Optical Emission ◽  
Emission Spectrometry ◽  
Linear Discriminant ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Plasma Optical Emission Spectrometry ◽  
One Way Anova

Six macroelements and twelve microelements were identified in thirty-six Hungarian acacia honeys collected from ten counties by inductively coupled plasma optical emission spectrometry (ICP-OES) and inductively coupled plasma mass spectrometry (ICP-MS). One-Way ANOVA (LSD and Dunnett T3 test) and linear discriminant analysis (LDA) were used to determine the statistically verified differences among the honey samples with different geographical origin. Significant differences were established among the samples from different counties in Na, P, S, Fe, Ni, Cu and Sr concentrations. Based on the macroelement content of honeys, the separation of samples with different geographical origin was not successful because the percent of correctly categorised cases was only 64.9%. However, examining the As, B, Ba, Cu, Fe Mn, Ni and Sr concentration, the separation of different groups was convincing since the percent of correctly classified cases was 97.2%. Thus, the examination of microelement concentration may be able to determine the geographical origin of acacia honeys.

scholarly journals From Soil to Grape and Wine: Geographical Variations in Elemental Profiles in Different Chinese Regions

Foods ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 3108
Author(s):  
Xiaoyun Hao ◽  
Feifei Gao ◽  
Hao Wu ◽  
Yangbo Song ◽  
Liang Zhang ◽  
...  
Keyword(s):  
Environmental Factor ◽  
Inductively Coupled Plasma ◽  
Bioconcentration Factor ◽  
Geographical Origin ◽  
Linear Discriminant ◽  
Inductively Coupled ◽  
Geographical Variations ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Grape Wine

Elemental profiles are frequently applied to identify the geographical origin and authenticity of food products, to guarantee quality. The concentrations of fifteen major, minor, and trace elements (Na, Mg, K, Ca, Al, Fe, Mn, Cu, Zn, Rb, Sr, Li, Cd, Cs, and Ba) were determined in soils, “Meili” grapes, and wines from six regions in China by inductively coupled plasma mass spectrometry (ICP-MS). The elemental concentrations in these samples, according to the geographical origins, were analyzed by one-way analysis of variance (ANOVA) with Duncan’s multiple comparisons. The bioconcentration factor (BCF) from soil to grape and the transfer factor (TF) from grape to wine were calculated. Mg, K, Ca, Cu, Zn, Rb, Sr, and Ba presented higher BCF values than the other seven elements. The TF values of six elements (Na, Mg, K, Zn, Li, and Cs) were found to be greater than one. Moreover, the correlation of element content between the pairs of soil–grape, grape–wine, and bioconcentration factor (BCF)–environmental factor were analyzed. Significant correspondences among soil, grape, and wine were observed for K and Li. Two elements (Sr and Li) showed significant correlations between BCF and environmental factor (relative humidity, temperature, and latitude). A linear discriminant analysis (LDA) with three variables (K, Sr, Li) revealed a high accuracy (>90%) to determine the geographical origin for different Chinese regions.

Gadolinium-based contrast agents: A clinically significant analytical interference in inductively coupled plasma mass spectrometry elemental analysis

2019 ◽  
Vol 56 (6) ◽  
pp. 638-645 ◽  
Author(s):  
Patrick Day ◽  
Sarah Erdahl ◽  
Steve Eckdahl ◽  
Joshua Bornhorst ◽  
Paul J Jannetto
Keyword(s):  
Mass Spectrometry ◽  
Contrast Agents ◽  
Elemental Analysis ◽  
Inductively Coupled Plasma ◽  
Charge Effect ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Polyatomic Interferences ◽  
Double Charge

Background Gadolinium-based contrast agents (GBCAs) have been used in magnetic resonance imaging for the past 30 years, where they have significantly improved the effectiveness of imaging studies. However, the increased usage of gadolinium in the medical community has also resulted in unexpected interferences in other laboratory assays. This has been particularly the case in clinical elemental analysis using inductively coupled plasma mass spectrometry (ICP-MS). Methods By conducting ICP-MS interference experiments, we describe how gadolinium interferes with elemental analysis by space charge effect, double charge effect and the creation of polyatomic interferences. Additionally, by reviewing more than a year of reference laboratory data from our laboratory information system, we determined the number of elemental tests cancelled due to gadolinium interference. Results Interference experiments show that gadolinium normally found in GBCAs can interfere with heavy metals, platinum and selenium analysis of biological fluids using ICP-MS. Within one year, our institution’s metals laboratory had to cancel 42 selenium serum tests and 19 heavy metal urine panels due to potential interference caused by gadolinium. Conclusions GBCAs will continue to be utilized in hospitals around the world. However, clinical laboratories should be wary of potential interferences caused by GBCAs. Relevant interferences include space charge effect, double charge interference, and the formation of polyatomic interferences caused by gadolinium. These interferences can negatively affect patient care by resulting in cancelled laboratory tests and causing patients to have blood redrawn and analysed at a later date leading to delays in their diagnosis/treatment.

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