Inductively Coupled Plasma Mass Spectrometry Research Articles

Occurrence and health risk assessment of selected metals in commercially available infant formulas in Jordan.

Infant formulas are the primary source of nutrition for infants and babies when breastfeeding is unavailable, as they are enriched with a variety of macro- and micronutrients to improve their nutritional value and satisfy the different needs of babies. Recently, there has been a rising concern about toxic metal levels in infant formulas, as highlighted by various studies. However, there are currently no sufficient studies focusing on toxic metal levels of infant formulas in Jordan. The current study aims to determine the levels of 25 metals, including Na, Mg, K, Ca, Cr, Fe, Mn, Co, Ni, Cu, Zn, Li, Ti, V, Ga, Sr, Ag, Ba, Bi, Th, U, Al, Cd, In, and Pb, in infant formulas (starter infant formula, follow-on formula, and growing-up formula) using inductively coupled plasma mass spectrometry (ICP-MS) and evaluate their safety and quality. The metal compositions of 37 infant formula samples collected from different Jordanian pharmacies were determined using inductively coupled plasma-mass spectrometry (ICP-MS) after digesting the samples with 9 mL of HNO3 (70 %) and 3 mL of H2O2 (30 %) using the microwave-assisted digestion technique. The possible health risks associated with the exposure to Cd, Pb, Al, and Ni in infant formulas were evaluated using estimated daily intake, target hazard quotient, and hazard index calculations. Also, method validation, including accuracy, precision, limit of detection, and limit of quantification, was performed. The results revealed that follow-on formula (intended for 7-12-month-old babies) had the highest mean concentration of all studied metals, except for zinc, which had the highest mean concentration in starter infant formula (intended for less than 6-month-old babies). Also, 72.97 % and 89.20 % of the tested samples had Pb and Cd levels that exceeded the European permissible limit, respectively. Regarding the estimated daily intake (EDI), babies aged 7-12 months were found to be the most exposed to Cd and Pb toxicity, while babies aged less than 6 months were found to be the most exposed to Ni toxicity. Unfortunately, the overall non-carcinogenic negative adverse effects (hazard index HI) of Cd and Pb for babies aged 7-12 months exceeded the acceptable threshold of 1. Based on the results, the consumption of infant formulas sold in Jordan may pose serious health risks to babies, with Cd and Pb levels in follow-on formulas (posing the highest risk). The source of contamination in infant formulas may be contaminated raw materials, the manufacturing process, packaging, or storage. So, strict regulations ought to be established to safeguard the health of babies.

Assessment of silver-copper co-loaded mesoporous bioactive glass as an advanced pulp-capping material.

To evaluate the multifunctionality of silver-copper co-loaded mesoporous bioactive glass (MBG), with the goal of developing an advanced pulp-capping material. The synthesis of materials was conducted using the sol-gel method, following the approach described in previous studies but with some modifications. The composition included 80 mol% SiO₂, 15 mol% CaO, and 5 mol% P₂O₅, with additional components of 5 mol% silver, 5 mol% copper, or 1 mol% silver combined with 4 mol% copper, designated as Ag5/80S, Cu5/80S, or Ag1Cu4/80S, respectively. Furthermore, crystal phases, surface morphology, and ion-releasing activity were analyzed using X-ray diffraction (XRD), transmission electron microscopy (TEM), and inductively coupled plasma mass spectrometry (ICP-MS), respectively. Human umbilical vein endothelial cells (HUVECs) were employed to assess wound-healing effects, while human dental pulp stem cells (hDPSCs) were utilized to evaluate osteogenic effects. Textural analyses indicated that Ag1Cu4/80S was successfully synthesized using modified procedures, demonstrating comparable ion co-releasing activity. Ag1Cu4/80S exhibited low toxicity and high cell proliferation rates, with a migration rate of 46 %, significantly higher than the <10 % observed in other groups. In terms of osteogenesis, hDPSCs treated with Ag1Cu4/80S displayed enhanced alkaline phosphatase activity, with mineralization levels 1.6-fold greater than those of untreated controls. The synthesis of Ag1Cu4/80S was successfully optimized. This material demonstrated significant wound-healing and comparable osteogenic effects relative to other tested materials, highlighting its potential for dental applications. Ag₁Cu₄/80S demonstrated a comparable effect on osteogenesis, indicating its potential to promote mineralization and suggesting its applicability in dental treatments.

Associations between co-exposure to multiple heavy metals and age-related macular degeneration: a cross-sectional study

Background & aimsAccumulating evidence suggests that exposure to single heavy metal can facilitate the progression of age-related macular degeneration (AMD). However, the effects of exposure to mixtures of heavy metals on AMD remain largely unexplored. This study aims to investigate both the joint and individual impacts of arsenic (As), mercury (Hg), cadmium (Cd), and lead (Pb) on AMD within a co-exposure framework. MethodsData from subjects participating the US National Health and Nutrition Examination Survey (NHANES, 2005-2008) were analyzed. Concentrations of As, Hg, Cd, and Pb were determined in urine by inductively coupled plasma dynamic reaction cell mass spectrometry (ICP-DRC-MS) for As and Hg, and inductively coupled plasma mass spectrometry (ICP-MS) for Cd and Pb. The weighted quantile sum (WQS) and Bayesian kernel machine regression (BKMR) models were employed to assess the effects of heavy metal mixtures on AMD risk. ResultsBoth WQS and BKMR analyses consistently revealed a significant overall association between heavy metal mixtures and the risk of all types of AMD. The combined effect was more evident among patients with early AMD compared to those with late AMD. Cd and Hg were the main contributors driving these combined effects within the context of metal mixtures. Elevated urinary levels of Cd were positively correlated with an increased risk for all types as well as early AMD. Higher exposure to Hg corresponded with an elevated risk for early AMD. Furthermore, BKMR analysis indicated that the influence of Cd on early AMD exhibited a non-linear pattern. ConclusionsOur findings suggest that co-exposure to As, Hg, Cd, and Pb is associated with an elevated risk for developing AMD, particularly in its early stages. Furthermore, excessive exposure to Cd and Hg has been identified as key contributing factors in this process.

Silicate-substituted bovine-derived hydroxyapatite as a bone substitute in regenerative dentistry.

Hydroxyapatite, renowned for its biocompatibility and osteoconductive properties, plays a fundamental role in bone regeneration owing to its resemblance to natural bone mineral, thus offering considerable potential for advancing tissue engineering strategies. In this article, the innovative integration of silicon ions into biogenic (bovine-derived) hydroxyapatite (SiBHA) via a tailored sol-gel process is reported. The resultant SiBHA scaffolds exhibited an interconnected microporous structure with a total porosity of 70% and pore dimensions ranging from 120 to 650 µm. Fourier-transform infrared spectroscopy and X-ray diffraction studies validated the effective incorporation of silicon ions into the BHA lattice, with energy-dispersive X-ray and inductively-coupled plasma mass spectrometry further confirming a Ca/P molar ratio for SiBHA between 1.63 and 1.74. Moreover, SiBHA scaffolds demonstrated commendable chemical and thermal stability. Of note, SiBHA scaffolds were found to display significantly enhanced mechanical properties, including compressive strength and Young's modulus, compared to the control BHA scaffolds. In vitro assessments highlighted the capacity of SiBHA scaffolds to foster cell viability, proliferation, and osteogenic differentiation of Saos-2 cells. Immunohistochemical analysis revealed a significant increase in osteonectin expression, a key bone matrix protein, after 14 days of incubation under osteogenic conditions. These findings highlight the biocompatibility and therapeutic potential of SiBHA scaffolds, suggesting their suitability as biomaterials for dental bone regeneration applications.

The interplay of gut microbiota and heavy metals in multiple sclerosis patients.

Multiple Sclerosis (MS) is a chronic inflammatory disease characterized by central nervous system (CNS). In this study, the concentration of heavy metals was measured in stool samples of MS patients by Inductively Coupled Plasma-Mass Spectroscopy (ICP-MS) method and compared with healthy people. Also, another goal of this study is to investigate the alteration of the gut microbiome of MS patients by metagenomics technique based on the 16S rRNA gene sequencing. The IL-10 ELISA assay showed no significant differences between the serum level of the IL-10 in the patients and the control group (p=0.510). Heavy metal measurement by ICP-MS showed significantly higher levels of arsenic (As, Mean=32.77μg/kg), nickel (Ni, Mean=7.154μg/kg), manganese (Mn, Mean=3723μg/kg), and zinc (Zn, Mean=5508μg/kg) in the stool samples of the MS group compared to the control group, while concentrations of iron (Fe, Mean=9585μg/kg), lead (Pb, Mean=18.54μg/kg), titanium (Ti, Mean=69.69μg/kg), and tin (Sn, Mean=13.92μg/kg) were significantly lower. The result of gut microbiome analysis showed an increase in the abundance of the Verrumicrobiaceae, Lachnospiraceae and Ruminococcaceae families was considerably increased in MS patients compared to the control group (p<0.05). This study reports that high levels of heavy metals such as Ars, Ni, Mn, and Zn, deficiency of Fe, Pb, Ti, and Sn, and alteration of the gut microbiome are involved in the pathogenesis of MS. The novelty of this study lies in its multi-faceted approach to understanding MS by integrating the measurement of heavy metals in stool samples with the analysis of gut microbiome alterations, thereby providing comprehensive insights into heavy metals, the gut microbiome, and potential therapeutic avenues. This study suggests several potential applications and practical implications based on its findings regarding heavy metals, gut microbiome alterations, and IL-10 levels in MS. First, the identification of elevated levels of specific heavy metals and deficiencies in others may lead to targeted screening and monitoring, informing preventive strategies for MS patients. Additionally, the observed gut microbiome changes could facilitate the development of microbiome-based therapies, such as probiotics or dietary interventions, aimed at restoring microbial balance. Finally, exploring the interplay between heavy metals, gut microbiome, and immune response may guide the creation of novel therapeutic interventions, ultimately enhancing treatment efficacy and providing new avenues for managing MS, thereby alleviating the burden of this chronic condition.

Leveraging Metabolomics and Ionomics to Illuminate Aluminum-Induced Toxicity in Mouse Organs

Aluminum, a widely prevalent environmental pollutant, has been established to exert toxic effects on multiple organs in the human body. To gain a comprehensive understanding of these toxic effects and the mechanisms involved, this study aimed to assess potential correlations between metabolites and ion data through metabolomic and ionomic analyses. We sought to explore the intricate impact of aluminum on various organs in mice. Gas chromatography-mass spectrometry (GC-MS) and inductively coupled plasma-mass spectrometry (ICP-MS) were employed to conduct metabolomic and ionomic analyses on the hippocampus, cortex, heart, liver, spleen, lung, kidney, bone, intestine, stomach, and serum of both control and aluminum-exposed mice. Besides, histological examinations and behavioral experiments were conducted. Multivariate analysis revealed 91 differential metabolites across various organs, primarily encompassing amino acids, fatty acids, and carbohydrates. The implicated abnormal metabolic pathways included amino acid metabolism, arachidonic acid metabolism, and glutathione metabolism. Additionally, alterations in the homeostasis of ions such as manganese, zinc, selenium, iron, copper, phosphorus, magnesium, and calcium were observed in various organs, potentially influencing the activity of critical enzymes. The changes in these potential biomarkers and ions suggest toxic mechanisms of aluminum exposure involving oxidative stress, inflammatory responses, cellular signal dysregulation, disruption of key enzyme activities, and impaired energy metabolism. This study provides a novel perspective on understanding the toxic mechanisms of aluminum exposure, potentially contributing to the prevention and treatment of aluminum toxicity.

Feasibility of using metakaolinite for the treatment of coal-mining acid mine drainage: insights into the interaction behaviour and partitioning of inorganic contaminants

In this novel study, the efficacy of metakaolinite for the treatment of acid mine drainage (AMD) was evaluated. The optimized parameters included the feedstock dosage and contact time. Experimental results were further explored using inductively coupled plasma–mass spectrometry (ICP–MS), ICP–OES (inductively coupled plasma–optical emission spectroscopy), Fourier transform infrared spectroscopy (FTIR), high-resolution–focused ion beam/scanning electron microscopy (HR–FIB/SEM), energy-dispersive x-ray spectroscopy (EDS), x-ray fluorescence (XRF) and x-ray diffraction (XRD). Optimum conditions were observed to be 45 min of mixing time, ≥10 gꞏL−1 of feedstock dosage, i.e., metakaolinite, and ambient temperature and pH. The metal content (Fe, Mn, Cr, Cu, Ni, Pb, Al, and Zn) embedded in AMD matrices were partially removed whilst the level of sulphate was significantly reduced. Chemical species removal efficacies were observed to occur in the following sequence; Cr ≥ Zn ≥ Cu ≥ Pb ≥ Mn ≥ Ni ≥ sulphate ≥ Mg ≥ Fe, with the following removal percentages: 100, 91.7, 74.6, 65, 38.8, 37.5, 32.3, 13.8, and 8.3%, respectively. Thus metakaolinite proved to be partially effective in the treatment of AMD emanating from coal-mining processes. Furthermore, to enhance the performance of this technology, a polishing technique needs to be coupled or integrated to further remove residual inorganic contaminants, as well as other forms of modification such as the addition of alkaline agents to synthesize the nanocomposite and increase its alkalinizing capabilities.

Infants' Exposure to Toxic Trace Elements in Teethers.

Infants are particularly vulnerable to exposure to toxic trace elements due to their developmental stage and behaviors such as mouthing and chewing on toys. Chemical exposure to heavy metals in infants' toys is a significant concern as it poses a threat to their health and well-being. Therefore, quality control measures are essential to prevent infants' exposure to potentially harmful metals. This study aimed to assess the presence of arsenic (As), cadmium (Cd), lead (Pb), and mercury (Hg) in infants' teethers and evaluate potential health risks associated with their use. Eighteen teethers were analyzed for heavy metal content using inductively coupled plasma mass spectrometry (ICPMS). Results showed varying concentrations of As, Cd, Pb, and Hg in the teethers, with none exceeding the safety limits for these heavy metals set by regulatory bodies such as ASTM F-963 and EN 71. Furthermore, calculated exposure levels, including Chronic Daily Intake (CDI) and Lifetime Average Daily Dose (LADD), as well as risk assessments covering Hazard Quotient (HQ), Hazard Index (HI), Margin of Exposure (MOE), and Incremental Lifetime Cancer Risk (ILCR), indicated that the overall health risks associated with teethers' use were non-existent. These findings highlight the importance of stringent regulations and ongoing monitoring of heavy metal levels in infants' products to ensure their safety.

Low Pt Loading on Wolframite-Type NiWO4 to Excel the Electrocatalytic Water Splitting and Ammonia Oxidation Reaction.

Hydrogen production via water-splitting or ammonia electrolysis using transition metal-based electrodes is one of the most cost-effective approaches. Herein, ca. 1-4% of Pt atoms are stuffed into a wolframite-type NiWO4 lattice to improve the electrocatalytic efficiency. The co-existence of atomically dilute quantities of Pt0 and PtIV atoms in the NiWO4 without altering the lattice structure is established via powder X-ray diffraction, inductively coupled plasma mass spectrometry (ICP-MS), core-level X-ray photoelectron spectroscopy, and other spectroscopic studies. While the undoped NiWO4 and a physical mixture of Pt0 (2 wt %) and NiWO4 exhibit poor oxygen evolution reaction (OER), hydrogen evolution reaction (HER), and ammonia oxidation reaction (AOR) activities, 3-4% Pt-enriched NiWO4 depict improved electrocatalytic performances with at least 50 mV overpotential drop for both the OER and HER. The 3%Pt/NiWO4 electrode showcases a long-term (for 110 h) chronoamperometric/chronopotentiometric OER and HER performance, delivering high current at a low working potential. The bifunctional behavior of the material leads to the development of a water-splitting electrolyzer, 3%Pt/NiW/NF(-)/(+)3%Pt/NiW/NF, achieving >90% Faradaic efficiency for H2 production. The onset potential for the AOR is also cathodically shifted for 3%Pt/NiW and 4%Pt/NiW compared to the NiWO4 itself. Electrokinetic study through a rotating ring-disk electrode (RRDE) experiment and the Koutecký-Levich study provides an observed rate constant (kobs) of 1.68 × 10-3 cm s-1 of AOR with a 6e- count from the kinetic current region, highlighting [NO2]- as the major product. The electrolysis of 1 M NH3 using 4%Pt/NiW/NF as a working electrode produces predominantly [NO2]- (FE: 53%) and [NO3]- (FE: 30%). The improved electrocatalytic activity of 3-4% Pt-enriched NiWO4 can be due to the low Tafel slope and charge transfer resistance (Rct). Pt0 being electron-rich induces facile electronic conduction during electrocatalysis and enhances a better binding of the analytes such as H2O, [OH]-, and NH3. At the same time, the PtIV centers present adjacent to the NiII sites can polarize the electron density to stabilize NiIII species and enhance the possibility of OER and AOR. This study demonstrates the effect of hetero-metal doping to tune the electronic structure to improve the electrochemical activity. The low-Pt-doped NiWO4 material is presented here as a multimodal electrocatalyst that can efficiently electrolyze water or ammonia to produce hydrogen.

Speciation of Trace Metals in the Bottom Sediments of the Mozhaisk Reservoir and the Moskva River

The speciation of heavy metaf Geology, ls (Mn, Fe, Co, Ni, Cu, Zn, Cd, and Pb) in the bottom sediments of the Mozhaisk Reservoir and the Moskva River is described. They were characterized using the Tessier sequential selective extraction procedure trace element concentrations determined by inductively coupled plasma–mass spectrometry (ICP-MS). The bottom sediments of the Mozhaisk Reservoir are characterized by higher concentrations of the examined metals compared to the channel alluvium of the Moskva River. In this case, the most widespread metal compounds in the bottom sediments of the Mozhaisk Reservoir are firmly bound (stable form) to the mineral matrix. High concentrations of the firmly bound forms of metals (Co, Ni, Cu, Zn, Cd, Pb, and Fe) in the bottom sediments are due to an increased proportion of the silt fraction (0.1–0.01 mm) entering the reservoir due to abrasion of its shores. The only exceptions are Mn and Cd, which are present in labile compounds with carbonates and hydroxides of iron and manganese. In the bottom sediments of the Moskva River, strongly bound forms prevail for most metals—for Ni, Zn, and Cd, they are complex compounds with Fe and Mn hydroxides; for Co, Cu, Pb, and Fe, they are compounds with stable silicate minerals. The proportion of labile bioavailable forms of metals in the bottom sediments of the Moskva River is higher than in the reservoir due to anthropogenic input. Among the labile forms of the metal compounds, carbonates predominate. The proportion of elements in the most mobile exchange form and in compounds with organic matter is not large and does not exceed 14% for most elements. The only exceptions are Co and Cd, for which the concentration of the exchange form reaches 25%.

Ways to Measure Metals: From ICP-MS to XRF.

This review explores the use of Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and X-ray Fluorescence (XRF) for quantifying metals and metalloids in biological matrices such as hair, nails, blood, bone, and tissue. It provides a comprehensive overview of these methodologies, detailing their technological limitations, application scopes, and practical considerations for selection in both laboratory and field settings. By examining traditional and novel aspects of each method, this review aims to guide researchers and clinical practitioners in choosing the most suitable analytical tool based on their specific needs for sensitivity, precision, speed, and sample preparation. Recent studies highlight enhanced capabilities of both ICP-MS and XRF technologies, making them more adaptable to various analytical needs. ICP-MS is renowned for its unmatched sensitivity and precision in detecting ultra-trace metals and metalloids in complex biological samples, such as lead in plasma or seawater. XRF advancements include lower detection limits and reduced sample preparation time, enabling rapid, non-destructive analyses, ideal for quick field assessments. Portable XRF analyzers have revolutionized on-the-spot testing, providing robust data without traditional wet-lab constraints. Moreover, hybrid techniques combining ICP-MS and XRF features are emerging, offering rapid and precise metal analysis for environmental monitoring, clinical diagnostics, and epidemiological studies. Matching analytical methods to specific research demands is critical. ICP-MS is the gold standard for detailed quantitative analysis in laboratories, while XRF excels in non-destructive, immediate field applications. Selection should consider sample complexity, sensitivity, speed, and cost-efficiency. Integrating ICP-MS and XRF offers a versatile approach to metals analysis, transforming practices in environmental science and healthcare diagnostics. As these technologies evolve, they are promising to expand capabilities in detecting and understanding the roles of metals and metalloids in health and the environment.

Knock-out mouse models and single particle ICP-MS reveal that SP-D and SP-A deficiency reduces agglomeration of inhaled gold nanoparticles in vivo without significant changes to overall lung clearance

The role of surfactant proteins A and D (SP-A and SP-D) in lung clearance and translocation to secondary organs of inhaled nanoparticles was investigated by exposing SP-A and SP-D knockout (AKO and DKO) and wild type (WT) mice nose-only for 3 hours to an aerosol of 20 nm gold nanoparticles (AuNPs). Animals were euthanised at 0-, 1-, 7- and 28-days post-exposure. Analysis by inductively coupled plasma mass spectrometry (ICP-MS) of the liver and kidneys showed that extrapulmonary translocation was below the limits of detection. Imaging of the lungs by laser ablation ICP-MS confirmed the homogenous distribution of AuNPs. Coherent anti-Stokes Raman Scattering, Second Harmonic Generation and Two-Photon Fluorescence imaging were applied for semi-quantitative analysis of the uptake of AuNPs by alveolar macrophages and found uptake increased with time post-exposure, peaking after 7 days, and with the largest increase in uptake being in WT mice. Single particle ICP-MS allowed particle counting and sizing of AuNPs in the lungs showing that particle agglomeration following deposition within the lung was greater for the wildtype than the knockout models, indicating a role for SP-A and SP-D in agglomeration, however, any effect of this on overall lung clearance was minimal. For all groups, the Au (mass) lung burden initial clearance half-time was approximately 20–25 d, however, the AuNP (particle number) lung burden clearance half-time was shorter at approximately 10 days. In general terms, differences between the results for the three models were limited, indicating the preferential clearance of smaller particles from the lung.

A novel method for multi-matrix arsenic speciation analysis by anion-exchange HPLC-ICP-MS in the framework of the third (French) total diet study.

This study presents the development and validation of a precise analytical method for the speciation analysis of arsenic (As) compounds, including inorganic species [As(III) and As(V)] and organic species such as monomethylarsonic acid (MMA) and dimethylarsinic acid (DMA). The method employs anion-exchange high-performance liquid chromatography (AE HPLC) coupled with inductively coupled plasma-mass spectrometry (ICP-MS). To optimize the sample preparation process, microwave-assisted extraction (MAE) and heat-assisted extraction (HAE) techniques were evaluated and compared. Separation of all four arsenic species was achieved with baseline resolution within 10 min, utilizing an anion-exchange column and a mobile phase gradient of 0.5 and 5 mM ammonium carbonate with 3% (v/v) methanol at a pH of 9.3. The method validation followed the accuracy profile approach, employing six different food matrices analyzed in duplicate over six separate days within a 6-week period. The method demonstrated good intermediate reproducibility, with coefficients of variation (CVR) ranging from 4.7% to 5.5%, while the bias was < 3%. The limit of quantification (LOQ) for the four species was 6.25 μg/kg (dry weight, dw), and the limit of detection (LOD) was 1.88 µg/kg (dw). These results confirm the robustness, accuracy, and suitability of the method for routine As speciation analysis across a variety of food matrices. The method is specifically intended to be applied to the analysis of a panel of food samples as part of the ongoing (French) third total diet study.

Ultrasound-Assisted Determination of Selenium in Organic Rice Using Deep Eutectic Solvents Coupled with Inductively Coupled Plasma Mass Spectrometry

As the focus on green chemistry intensifies, researchers are progressively looking to incorporate biodegradable and environmentally friendly solvents. Given the prevalent use of inorganic solvents in conventional methods for detecting selenium content, this study utilized a mixture design approach to create four deep eutectic solvents (DESs). The elements of the DESs consisted of six different compounds: guanidine hydrochloride, fructose, glycerol, citric acid, proline, and choline chloride. The synthesized deep eutectic solvents (DESs) exhibited a uniform and transparent appearance. The ideal ratios for each DES were established based on their density and viscosity measurements, leading to the formulations of DES1 (34% guanidine hydrochloride, 21% fructose, 45% water), DES2 (23% guanidine hydrochloride, 32% glycerol, 45% water), DES3 (27.5% citric acid, 27.5% proline, 45% water), and DES4 (30% choline chloride, 25% citric acid, 45% water). The characterization of the deep eutectic solvents (DESs) was performed using nuclear magnetic resonance (NMR) spectroscopy and infrared (IR) spectroscopy, which confirmed the molecular formation of each DES. Following this, the DESs were applied as extraction solvents in a process involving ultrasonic-assisted microextraction (UAE) combined with inductively coupled plasma mass spectrometry (ICP-MS) to assess the selenium levels in selenium-rich rice. The results were benchmarked against traditional microwave-assisted acid digestion (TM-AD), revealing selenium recovery rates ranging from 85.5% to 106.7%. These results indicate that UAE is an effective method for extracting selenium from selenium-rich rice, thereby establishing a solid data foundation for the environmentally friendly analysis of selenium content in rice.

Flow environment affects nutrient transport in soft plant roots.

This work estimates Michaelis-Menten kinetics parameters for nutrient transport under varying flow rates in the soft roots of Indian mustard (Brassica juncea) using a plant fluidic device. To find the metallic components within the roots, inductively coupled plasma mass spectrometry (ICP-MS) analysis was performed. The flow rate-dependent metabolic changes were examined using Raman spectral analysis. In addition, three-dimensional numerical simulations were conducted to assess mechanical stresses resulting from the concentration difference that enhances osmotic pressure and flow loading at the root-liquid interface. Convection, the primary mode of nutrient transport in flowing media, was observed to reduce nutrient uptake at higher flow rates. In contrast, diffusion became more prevalent in areas where the complex root structure restricted the flow field. The concentration gradient between the upstream and downstream regions of the root caused nutrient diffusion from downstream to upstream. As seen, an increase in flow rate resulted in a decrease in root length due to the reduction of advantageous metabolites, which led to lower average mechanical stress and osmotic pressure loading. Additionally, osmotic pressure at the root-liquid interface was found to increase over time. Numerical simulations revealed that the average internal mechanical stress was substantially greater when osmotic pressure was considered. This emphasizes the importance of accounting for osmotic pressure when assessing mechanical stress in roots. This study uses a fluidic device that replicates hydroponic conditions for the first time in order to evaluate the convection-dependent Michaelis-Menten kinetics of nutrient uptake in plant roots.

The effects of occupational aluminum exposure on blood pressure and blood glucose in workers - A longitudinal study in northern China.

Trace element and metal exposure is closely related to the occurrence of chronic diseases, particularly affecting blood pressure and blood glucose. Current studies suggest that heavy metal exposure is a risk factor for hypertension and diabetes. Aluminum can enter the human body through daily life and occupational exposure from food, environment, drugs, and other sources, affecting the cardiovascular, endocrine, and other systems. Therefore, it is significant to observe the effect of aluminum on blood pressure and blood glucose in workers with high concentration. In this study, electrolytic workers naturally exposed to high concentrations of aluminum were selected. The aim of the 5-year cohort study was to investigate the effects of continuous occupational aluminum exposure on blood pressure and blood glucose in workers and to assess the risk of potential cardiovascular and metabolic diseases due to heavy metal exposure. In 2014, 183 participants from an electrolysis workshop at an aluminum plant in Shanxi were enrolled. Inductively coupled plasma mass spectrometry (ICP-MS) was performed to determine the plasma aluminum (P-Al) concentration of the workers and measured their blood pressure and glucose levels. At the 2019 follow-up, all parameters were measured again in the same workers. The relationship of the P-Al concentration with blood pressure and glucose levels was assessed using generalized linear regression, and risks of developing hypertension and hyperglycemia (diabetes or pre-diabetes) due to Al exposure were assessed using binary logistic regression. Dose-response relationships between average annual rates of change in P-Al and average annual rates of change in blood pressure and blood glucose were analyzed using RCS. The relative risk (RR) and attributable risk (AR) were also calculated. Generalized linear regression showed that the average annual rate of change in P-Al concentration was positively correlated with the annual rates of change in SBP, DBP, and blood glucose levels, with each e-fold increase in P-Al concentration increasing the annual rates of change in SBP and DBP by 3.55 % (P < 0.01) and 3.43 % (P = 0.03), respectively. Binary logistic regression showed that as the average annual rate of change in P-Al concentration (categorical variable) increased, the risk of developing hypertension increased (Ptrend < 0.05). The RCS results showed that the relationship between the average annual rate of change in P-Al and the average annual rate of change in SBP was a showed a dose-response relationship (P for overall association<0.05). RR and AR increased with increasing P-Al concentration in both hypertensive and diabetic patients. Persistent occupational aluminum exposure is associated with elevated blood pressure levels in workers and increases the risk of developing hypertensive disorders.

Seasonal Changes in the Elemental Composition of Five Valuable Fish Species (Sparidae) from Bozcaada, North Aegean Sea: A Health Risk and Nutritional Benefit Assessment.

This study investigates the seasonal variations in the elemental composition of five economically valuable Sparidae fish species from Bozcaada, North Aegean: red seabream (Pagrus major), gilthead seabream (Sparus aurata), saddled seabream (Oblada melanura), white seabream (Diplodus sargus), and common dentex (Dentex dentex), with a focus on both essential minerals and toxic metals. Fish samples (n = 10 per species per season) were collected across four seasons, and their weights and lengths were recorded. The concentrations of elements such as calcium, potassium, magnesium, phosphorus, copper, iron, manganese, zinc, chromium, nickel, selenium, cadmium, and mercury were analyzed using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). The elemental concentrations varied as follows: Ca (11,388.46-55,470.76), K (17,230.83-27,594.86), Mg (1436.02-2326.73), Na (1962.30-7847.41), P (13,112.11-15,516.57), Fe (107.61-282.00), Cu (36.44-59.13), Mn (6.19-19.87), Zn (98.67-256.26), Cr (4.54-11.96), Ni (6.33-13.89), Se (0.82-7.33), Cd (0.08-0.32), and Hg (0.08-1.50) mg/kg. Health risk assessments, including Estimated Weekly Intake (EWI), Target Hazard Quotient (THQ), and Cancer Risk (CR), were calculated for both adult and child consumers. The results showed that while the essential minerals remained within safe limits, seasonal variations in the concentrations of toxic metals could pose potential health risks, particularly with frequent consumption. This research provides valuable insights into balancing the nutritional benefits and safety of fish from Bozcaada, offering recommendations for informed consumption and public health policies aimed at optimizing benefits while minimizing risks.

Use of laser-ablation inductively-coupled mass spectroscopy for analysis of selenosugars bound to proteins.

We previously used high pressure liquid chromatography (HPLC) coupled with Se-specific inductively coupled plasma mass spectrometry (ICP-MS) and molecule specific (ESI Orbitrap MS/MS) detection to study the increase in liver Se in turkeys and rats supplemented as selenite in high-Se (5 µg Se/g diet) and adequate-Se diets. We found that far more Se is present as selenosugar (seleno-N-acetyl galactosamine) than is present as selenocysteine (Sec) in true selenoproteins. In high-Se liver, the increase in liver Se was due to low molecular weight (LMW) selenometabolites as glutathione-, cysteine- and methyl-conjugates of the selenosugar, but also as high molecular weight (HMW) species as selenosugars decorating general proteins via mixed-disulfide bonds. To demonstrate selenosugar binding to proteins, aqueous liver extracts from animals fed Se-adequate and high-Se were subjected to SDS-PAGE and Native-PAGE with and without pretreatment with β-mercaptoethanol (βME). The separated proteins were then electrophoretically transferred to membranes, and the membranes subsequently were subjected to laser-ablation inductively-coupled mass spectroscopy (LA-ICP-MS) analysis of 78Se profiles. Without βME treatment, 78Se was widely distributed across the molecular weight profile for both SDS-PAGE and Native-PAGE, whereas βME pretreatment dramatically reduced 78Se binding, reducing the profile to true Sec-selenoproteins. This reduction was ∼50% for both high-Se rat and turkey extracts. The increased 78Se in non-βME treated samples was distributed across the full profile. The use of LA-ICP-MS indicates that selenosugar residues are bound to protein subunits of multiple sizes, and that targeted attachment of selenosugars to a single or limited number of protein subunits does not occur.

Mo and Sn exposure associated with the increased of bone mineral density.

Bone mineral density (BMD) measured by T-score is strongly associated with bone health, but research on its association with metals in humans body remains limited. To investigate the relationship between metal exposure and BMD, numbers of 159 participants in eastern China were studied. Urine and blood samples were collected and levels of 20 metals in the samples were measured using Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). Binary Logistic Regression model (BLR) and Generalized Linear Models (GLM) were used to explore the relationship between metals and BMD. Bayesian Kernel Machine Regression (BKMR) model was further used to explore the effect of multiple metal interactions on BMD. Six metals (Mn, Co, As, Se, Mo, Cd) were selected and the concentrations in blood and urine were compared using Wilcoxon and Spearman tests. In the single-metal model, BLR and GLM commonly showed positive significant correlations between four metals (As, Mo, Se, Sn) in urine and BMD. Strong correlations between five metals (Mn, Co, As, Se, Mo) in blood and urine were observed (P ≤ 0.05). The BKMR model indicated a predominant synergistic effect of urine Mo and Sn, increased co-exposure to these metals is associated with a higher trend of BMD. These findings suggest that exposure to metals is associated with an increased level of BMD in humans. To better understand the impact of metalson bone health, further investigation into the common roles of these metals and their interactions is needed.

Optimised determination of arsenic and lead in tea samples using microwave-assisted digestion and ICP-MS: method validation and health risk assessment

ABSTRACT Heavy metal contamination in tea poses significant risks to consumer health, necessitating the development of accurate and efficient analytical methods for routine monitoring. This study aimed to optimise and validate a robust process for the simultaneous determination of arsenic (As) and lead (Pb) in dried tea samples using inductively coupled plasma mass spectrometry (ICP-MS) following microwave-assisted digestion. These toxic elements were selected due to their known health risks and their frequent detection in tea. The method was systematically optimised for digestion parameters and validated following EURACHEM guidelines to ensure accuracy and precision. Key validation metrics included linearity (R2 ≥0.9999), limits of quantification (LOQ) of 0.25 µg/kg for As and 1.5 µg/kg for Pb, sufficient for regulatory compliance. The method demonstrated excellent mean recoveries (75%–89%) and relative standard deviations (RSDs) below 15% across all fortification levels. Precision and accuracy were further verified through proficiency testing, yielding acceptable z-scores for both analytes. Application of the validated method to tea samples collected from Egypt revealed arsenic concentrations ranging from 0.018 ± 0.004 to 0.280 ± 0.070 mg/kg and lead concentrations from 0.083 ± 0.021 to 1.630 ± 0.407 mg/kg. Although detection rates were elevated, the calculated target hazard quotient (THQ) values for As and Pb were below the threshold of 1, suggesting no significant non-carcinogenic health risks associated with tea consumption. This study provides a reliable, cost-effective analytical framework for monitoring heavy metal contamination in tea products, supporting consumer safety and public health initiatives.