scholarly journals Interlaboratory comparison of heavy metal testing in animal diagnostic specimens and feed using inductively coupled plasma–mass spectrometry

2020 ◽  
Vol 32 (2) ◽  
pp. 291-300 ◽  
Author(s):  
Steven McGeehan ◽  
Timothy Baszler ◽  
Cynthia Gaskill ◽  
Joseph Johnson ◽  
Lori Smith ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Inductively Coupled Plasma ◽  
Interlaboratory Comparison ◽  
Method Comparison ◽  
Data Sets ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Reproducible Method ◽  
Instrument Comparison

We compared inductively coupled plasma–mass spectrometry (ICP-MS) test results for the analysis of heavy metals (As, Ba, Cd, Hg, Pb, and Se) in pet foods and routine veterinary diagnostic specimens using intralaboratory and interlaboratory comparisons. Four laboratories, 1 principal laboratory and 3 collaborating laboratories, conducted instrument comparison (limit of detection [LOD], limit of quantification [LOQ], and linear dynamic range [LDR] on 24 data sets), in-house method comparison (accuracy and precision on 120 data sets), and interlaboratory comparison (reproducibility on 528 data sets using Horwitz equation analysis). Matrices tested included 2 types of pet food jerky treats (chicken and sweet potato), bovine blood, and bovine liver and kidney. The instrument comparison study confirmed that ICP-MS provided the sensitivity necessary for the analysis of all heavy metals tested at concentrations below the level of concern for routine diagnostic testing. The “in-house” method comparison samples, spiked at low (0.04 µg/g), medium (0.4 µg/g), and high (8.0 µg/g; note: the high validation level spike for mercury was 2 µg/g) concentration levels, indicated that ICP-MS can meet U.S. FDA acceptance criteria for both accuracy (90–105% recovery) and precision (< 6% coefficient of variation). The interlaboratory comparison studies showed that ICP-MS is a reproducible method for the analysis of heavy metals (HorRat value of 0.5–2.0) except for mercury in one laboratory, which used a different sample preparation method (open block rather than microwave digestion). Overall, our study showed that ICP-MS is a reproducible method for the analysis of heavy metals in spite of minor differences in methodology.

scholarly journals Analyses of Mineral Content and Heavy Metal of Honey Samples from South and East Region of Turkey by Using ICP-MS

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Serap Kılıç Altun ◽  
Hikmet Dinç ◽  
Nilgün Paksoy ◽  
Füsun Karaçal Temamoğulları ◽  
Mehmet Savrunlu
Keyword(s):  
Heavy Metals ◽  
Inductively Coupled Plasma ◽  
Chemical Components ◽  
Geographical Differences ◽  
Mineral Contents ◽  
Inductively Coupled ◽  
East Region ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Multifloral Honey

The substantial of mineral ingredients in honey may symbolize the existence of elements in the plants and soil of the vicinity wherein the honey was taken. The aim of this study was to detect the levels of 13 elements (Potassium (K), Sodium (Na), Calcium (Ca), Iron (Fe), Zinc (Zn), Cadmium (Cd), Copper (Cu), Manganese (Mn), Lead (Pb), Nickel (Ni), Chromium (Cr), Aluminum (Al), and Selenium (Se)) in unifloral and multifloral honey samples from south and east regions of Turkey. Survey of 71 honey samples from seven different herbal origins, picked up from the south and east region of Turkey, was carried out to determine their mineral contents during 2015-2016. The mineral contents were analyzed by inductively coupled plasma mass spectrometry (ICP-MS). The most abundant minerals were K, Na, and Ca ranging within 1.18–268 ppm, 0.57–13.1 ppm, and 0.77–4.5 ppm, respectively. Zn and Cu were the most abundant trace element while Pb, Cd, Ni, and Cr were the lowest heavy metals in the honey samples surveyed, with regard to the concentrations of heavy metals such as Zn, Cu, Pb, Cd, Ni, and Cr suggested and influence of the botanical origin of element composition. Geochemical and geographical differences are probably related to the variations of the chemical components of honey samples.

Fourier Transform Infrared (FT-IR) and Laser Ablation Inductively Coupled Plasma–Mass Spectrometry (LA-ICP-MS) Imaging of Cerebral Ischemia: Combined Analysis of Rat Brain Thin Cuts Toward Improved Tissue Classification

2017 ◽  
Vol 72 (2) ◽  
pp. 241-250 ◽  
Author(s):  
Anna Balbekova ◽  
Hans Lohninger ◽  
Geralda A.F. van Tilborg ◽  
Rick M. Dijkhuizen ◽  
Maximilian Bonta ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Fourier Transform ◽  
Inductively Coupled Plasma ◽  
Brain Regions ◽  
Hyperspectral Data ◽  
Data Sets ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Ft Ir

Microspectroscopic techniques are widely used to complement histological studies. Due to recent developments in the field of chemical imaging, combined chemical analysis has become attractive. This technique facilitates a deepened analysis compared to single techniques or side-by-side analysis. In this study, rat brains harvested one week after induction of photothrombotic stroke were investigated. Adjacent thin cuts from rats’ brains were imaged using Fourier transform infrared (FT-IR) microspectroscopy and laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). The LA-ICP-MS data were normalized using an internal standard (a thin gold layer). The acquired hyperspectral data cubes were fused and subjected to multivariate analysis. Brain regions affected by stroke as well as unaffected gray and white matter were identified and classified using a model based on either partial least squares discriminant analysis (PLS-DA) or random decision forest (RDF) algorithms. The RDF algorithm demonstrated the best results for classification. Improved classification was observed in the case of fused data in comparison to individual data sets (either FT-IR or LA-ICP-MS). Variable importance analysis demonstrated that both molecular and elemental content contribute to the improved RDF classification. Univariate spectral analysis identified biochemical properties of the assigned tissue types. Classification of multisensor hyperspectral data sets using an RDF algorithm allows access to a novel and in-depth understanding of biochemical processes and solid chemical allocation of different brain regions.

scholarly journals A Review of Metal Levels in Urban Dust, Their Methods of Determination, and Risk Assessment

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 891
Author(s):  
Chikumbusko Chiziwa Kaonga ◽  
Ishmael Bobby Mphangwe Kosamu ◽  
Wells Robert Utembe
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Inductively Coupled Plasma ◽  
Urban Dust ◽  
Risk Levels ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Metal Levels ◽  
Plasma Mass Spectrometry

This review gives insights into the levels of metals in urban dust, their determination methods, and risk assessment. Urban dust harbors a number of pollutants, including heavy metals. There are various methods used for the sampling of urban dust for heavy-metal analysis and source-apportionment purposes, with the predominant one being the use of plastic sampling materials to avoid prior contamination. There are also various methods for the determination of metals, which include: atomic absorption spectroscopy (AAS) and inductively coupled plasma-mass spectrometry (ICP-MS), among others. Studies have shown that pollutants in urban dust are mainly derived from industrial activities and coal combustion, whereas traffic emissions are also an important, but not a predominant source of pollution. The varying particle-size distribution of urban dust and its large surface area makes it easier for the deposition and transport of heavy metals. Risk-assessment studies have shown that metals in urban dust could cause such problems as human pulmonary toxicity and reduction of invertebrate populations. The risk levels seem to be higher in children than adults, as some studies have shown. It is therefore important that studies on metals in urban dust should always incorporate risk assessment as one of the main issues.

scholarly journals Radioactivity and Heavy Metals Concentration in Italian (Calabrian) DOC Wines

2019 ◽  
Vol 9 (21) ◽  
pp. 4584 ◽  
Author(s):  
Caridi ◽  
Pappaterra ◽  
Belmusto ◽  
Messina ◽  
Belvedere ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Inductively Coupled Plasma ◽  
Radiation Effects ◽  
Specific Activity ◽  
Protective Effects ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Effective Doses ◽  
Italian Legislation

: Wine is an alcoholic drink, largely used to accompany food, with a key role in the protective effects on cardiovascular diseases. This study was developed to investigate radioisotopes and heavy metal content of twenty red, rose and white Italian wines, belonging to controlled origin denomination (DOC) geographic areas of the Calabria region, south of Italy. High Purity Germanium (HPGe) Gamma Spectrometry was employed to evaluate anthropogenic (137Cs) and natural (40K) radionuclides specific activity. Inductively Coupled Plasma Mass Spectrometry (ICP-MS) was used to assess any possible heavy metals contamination by a comparison between Cu, Zn, Pb, B, As and Cd concentrations with the limits set by the Italian Legislation. Calculated annual effective doses due to the ingestion of investigated samples are under allowable levels (1 mSv/year), thus excluding the risk of ionizing radiation effects on humans. Regarding to the metals concentration, experimental results show that they are lower than the contamination threshold values, thus excluding their presence as pollutants.

scholarly journals Assessment of Copper and Iron Concentration in Water of Yamuna River, Delhi, India

2020 ◽  
Vol 10 (2) ◽  
pp. 2251-2257
Keyword(s):  
Heavy Metals ◽  
Inductively Coupled Plasma ◽  
Electronic Waste ◽  
Iron Concentration ◽  
Land Application ◽  
Yamuna River ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
River Yamuna

The concentration of Copper (Cu) and Iron (Fe) in water from River Yamuna, Delhi, India, were determined by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Heavy metals are potentially toxic and are transferred to the surrounding environment through different pathways. Heavy metals are considered one of the most dangerous groups since they are non-degradable due to their persistent nature, toxicity, and tendency to accumulate in organisms and alters the food chain cycle and still more. Yamuna river water may become contaminated by the accumulation of trace metals and metalloids through emissions from the rapidly expanding industrial areas, disposal of high metal wastes, leaded gasoline and paints, land application of fertilizers, animal manures, sewage sludge, pesticides, wastewater irrigation, and Electronic waste. Trace element toxicity has proven to be a major threat, and there are several health risks associated with it. Even though they do not have any biological role, these metals' toxic effects remain present in some of the other forms harmful for the human body and its proper functioning. On comparison of these heavy metals concentration in water, it was found that Fe, Cu were higher than the permissible limits of WHO, which gives an indication of hazardous risk to human health.

scholarly journals IonFlow: a galaxy tool for the analysis of ionomics data sets

Metabolomics ◽  
2021 ◽  
Vol 17 (10) ◽  
Author(s):  
J. Iacovacci ◽  
W. Lin ◽  
J. L. Griffin ◽  
R. C. Glen
Keyword(s):  
Data Analysis ◽  
Inductively Coupled Plasma ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Data Sets ◽  
Multivariate Statistical ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry ◽  
Elemental Profiling

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.

ICP/MS in Evaluation Heavy Metal Influence on the Behavior of Natural Temporary Teeth

2008 ◽  
Vol 396-398 ◽  
pp. 175-178 ◽  
Author(s):  
Ioana Demetrescu ◽  
R. Luca ◽  
D. Ionita ◽  
D. Bojin
Keyword(s):  
Mass Spectrometry ◽  
Heavy Metals ◽  
Heavy Metal ◽  
Environmental Risk ◽  
Inductively Coupled Plasma ◽  
Spectrometry Method ◽  
Mass Spectrometry Method ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry

The aim of this paper is to evaluate using ICP/MS (inductively coupled plasma mass spectrometry method ) the small amount of heavy metal existing in temporary teeth of children from area with high environmental risk regarding heavy metals, and to correlate this amount with the state of degradation of such teeth, taking into account that teeth are biological archive.

scholarly journals Assessment of Heavy Metal and Mineral Levels in Hair Samples from Dogs with Mammary Neoplasms

2018 ◽  
Vol 75 (1) ◽  
pp. 1 ◽  
Author(s):  
Emanuela BADEA ◽  
Gheorghe Valentin GORAN ◽  
Cristina ȚOCA ◽  
Victor CRIVINEANU
Keyword(s):  
Heavy Metals ◽  
Inductively Coupled Plasma ◽  
Mineral Elements ◽  
Inductively Coupled ◽  
Normal Tissues ◽  
Mammary Neoplasms ◽  
Icp Ms ◽  
Hair Samples ◽  
Plasma Mass Spectrometry ◽  
Mineral Levels

Neoplasms involve abnormal tissue growths developing in an uncoordinated, persistent manner, faster than adjacent normal tissues. Several researchers have studied the possible implications of heavy metals and mineral levels on human mammary neoplasms using hair analysis. The study’s objective was to assess the levels of heavy metals and other mineral elements in dogs suffering from mammary neoplasms. Hair samples were analyzed by Inductively Coupled Plasma Mass Spectrometry (ICP-MS). All analyzed elements registered higher levels in clinically healthy dogs. The interaction between health status and keeping conditions significantly influenced the levels of Al, Ca, Fe, Mg, Ni, Co, Pb, and V. Concurrently, dogs with mammary neoplasms living outdoors registered the highest levels for most minerals, compared to dogs with mammary neoplasms living indoors, suggesting a possible implication of pollution.

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