This study investigates the concentrations and bioaccessibility of essential trace elements (Co, Cu, Fe, Mn, Zn) in commonly consumed edible plants. Using multiple physiologically relevant extraction methods, the work assesses both total and bioaccessible fractions to better estimate dietary intake.Monte Carlo simulations revealed variability in nutrient exposure, with most intake levels within recommended ranges but some cases indicating potential deficiencies or excess. The results highlight the importance of incorporating bioaccessibility and realistic exposure modeling into nutritional assessments and dietary risk evaluations.<blockquote><h4>The original article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.jafc.5c10365">Essential Trace Elements in Edible Plants: Balancing Nutritional Benefits and Potential Health Risks</a></h4>Agata Stolecka*, Pilar Ortiz Sandoval, and Agnieszka Gruszecka-KosowskaJ. Agric. Food Chem. 2026, 74, 8, 7084–7097<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.jafc.5c10365">https://doi.org/10.1021/acs.jafc.5c10365</a><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.<div>Many trace elements are essential micronutrients required in minute amounts, yet they are indispensable for the structural and functional integrity of living organisms. <a href="javascript:void(0);">(1)</a> As a subgroup of micronutrients, alongside vitamins and antioxidants, they play vital roles in supporting regenerative processes, defending against oxidative stress, and maintaining immune function in metabolically active tissues. <a href="javascript:void(0);">(2)</a> Despite their low concentrations in biological systems, they serve as cofactors for numerous enzymatic reactions and contribute to essential physiological processes such as oxygen transport, redox balance, and cellular metabolism. <a href="javascript:void(0);">(3−5)</a> In line with the WHO <a href="javascript:void(0);">(6)</a> and Frieden <a href="javascript:void(0);">(7)</a> classifications, this study focuses on the essential trace elements (ETEs), namely cobalt (Co), copper (Cu), iron (Fe), manganese (Mn), and zinc (Zn), all of which have well-established roles in human nutrition and are integral to maintaining both general and oral health. <a href="javascript:void(0);">(8)</a> Deficiency in the aforementioned elements can lead to a range of health problems. Co, as a component of vitamin B12, is critical for red blood cell formation and neurological function; its deficiency may result in megaloblastic anemia and neurological impairments. <a href="javascript:void(0);">(9)</a> Cu is essential for iron metabolism, antioxidant defense, and connective tissue synthesis; inadequate intake can lead to anemia, weakened immunity, impaired growth and development (especially in children), osteoporosis, abnormal cholesterol metabolism, and neurological disturbances. <a href="javascript:void(0);">(10)</a> Fe deficiency remains one of the most widespread nutritional problems globally and is the leading cause of anemia, fatigue, and impaired cognitive and immune function. <a href="javascript:void(0);">(11)</a> Mn is involved in bone development, metabolism, and antioxidant enzyme activity; low levels can impair growth, fertility, and glucose regulation. <a href="javascript:void(0);">(12)</a> Zn is vital for immune response, wound healing, and DNA synthesis; deficiency can cause growth retardation, delayed sexual maturation, and increased susceptibility to infections. <a href="javascript:void(0);">(13)</a> While maintaining adequate levels of these trace elements is crucial for overall health and physiological functioning, excessive intake may also pose health risks. <a href="javascript:void(0);">(14,15)</a> The margin between beneficial and toxic doses is broad for some bioelements but narrow for others, highlighting the need for careful monitoring of their concentrations in the food supply. <a href="javascript:void(0);">(16)</a>The mineral content of edible plants, a major dietary source of essential elements, is influenced by numerous factors, including plant genotype (cultivar), soil properties, weather conditions, and agricultural practices such as fertilizer application during fruiting and maturation stages. <a href="javascript:void(0);">(17)</a> Consequently, the concentration of trace elements in plant-based foods can vary widely, affecting both their nutritional value and their potential to contribute to dietary exposure risks. <a href="javascript:void(0);">(18)</a> Customarily, the assessment of ETEs in edible plants has relied on total concentration (TC) measurements, which assume complete gastrointestinal absorption. <a href="javascript:void(0);">(19−21)</a> While this approach is commonly used to estimate nutritional contributions, it does not account for the fact that only a fraction of the ingested element may be bioaccessible and available for absorption during digestion. As a result, it may lead to either over- or underestimation of both health benefits and potential adverse effects. To better reflect human exposure, a range of in vitro extraction methods have been developed to simulate the bioaccessibility of elements under gastric and/or intestinal conditions. <a href="javascript:void(0);">(22,23)</a> These methods vary in terms of chemical reagents, pH levels, and complexity. For example, the BCR 3-step extraction targets chemical elements associated with different binding forms, <a href="javascript:void(0);">(24)</a> while the USEPA 1340 simulates acidic gastric conditions relevant to lead bioaccessibility. <a href="javascript:void(0);">(25)</a> More advanced protocols, like ISO 17924:2018 and the BARGE Unified Bioaccessibility Method (UBM), replicate digestive phases using physiologically relevant fluids. <a href="javascript:void(0);">(22,26)</a> Simpler methods, such as SBET and PBET, aim to simulate one or both digestion phases under controlled laboratory conditions. <a href="javascript:void(0);">(27,28)</a> In the context of ETEs such as Co, Cu, Fe, Mn, and Zn, evaluating bioaccessibility is crucial for accurate dietary intake estimates. These elements play key roles in numerous physiological functions, and both deficiencies and excess intake can affect human health. However, limited data exist on how the choice of extraction method affects estimates of their dietary contribution and associated noncarcinogenic risks.To address this gap, the present study evaluates Co, Cu, Fe, Mn, and Zn concentrations in vegetables, fruits, and cereals using seven extraction methods. The results are used to estimate both the nutritional contribution and the potential health risks from dietary intake. To incorporate variability and uncertainty in dietary exposure, such as metal concentrations, consumption patterns, and body weight, Monte Carlo simulations were applied. This probabilistic approach enables a more robust evaluation of nutrient intake and safety, providing insights that can inform dietary guidelines and regulatory decisions. The main objective of the study was to investigate how different extraction methods, simulating gastrointestinal bioaccessibility, may impact the estimation of both nutritional contribution and potential risks. In this study, the contribution of five ETEs, namely Co, Cu, Fe, Mn, and Zn, to a healthy diet and the potential health risks associated with their intake were evaluated. The detailed objectives of the study were to 1) investigate concentrations of Co, Cu, Fe, Mn, and Zn in three plant categories, namely vegetables, fruits, and cereals, using the following seven extraction methods: Total Content (TC), three-step extraction procedure (BCR), USEPA SW-846 Test Method 1340: In Vitro Bioaccessibility Assay for Lead in Soil (USEPA), ISO 17924:2018 Soil quality─Assessment of human exposure from ingestion of soil and soil material─procedure for the estimation of the human bioaccessibility/bioavailability of metals in soil (ISO), the BARGE (Bioaccessibility Research Group of Europe) unified bioaccessibility method (UBM), Simple Bioavailability Test (SBET), and Physiologically Based Extraction Test (PBET); 2) use Monte Carlo simulations to estimate the nutritional contribution and noncarcinogenic risk from dietary intake of these ETEs, based on Polish food consumption data; and 3) address variability and uncertainty in dietary exposure through probabilistic modeling with Monte Carlo simulations.<h4>2. Materials and Methods</h4><h5>2.3. Instrumental Analysis</h5>The concentrations of investigated ETEs were determined by inductively coupled plasma-mass spectrometry (ICP-MS) (ELAN 6100; PerkinElmer, Waltham, MA, USA) in the case of Co or inductively coupled plasma optical emission spectrometry (ICP-OES) (OPTIMA 7300DV; PerkinElmer, Waltham, MA, USA) in the case of Cu, Fe, Mn, and Zn according to the United States Environmental Protection Agency (USEPA) 6020B and ISO 17294-2:2003 protocols.<h4>4. Results and Discussion</h4><h5>4.2. Estimated Nutrient Intake (ENI)</h5>Estimated Nutrient Intake of ETEs (50th percentile) from all edible plants intake from Monte Carlo simulations is shown in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.jafc.5c10365#fig2">Figure 2</a>.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/J_Agric_Food_Chem_2026_74_8_7084_7097_Figure_2_Estimated_Nutrient_Intake_ENI_of_ET_Es_based_on_the_50th_percentile_of_all_investigated_edible_plant_intake_from_Monte_Carlo_simulations_7ad01eb189.jpg" alt="Anal. Chem. 2026, 98, 9, 6589–6597: Figure 2. Evaluation of CoD screening prediction performance of LCMS-Net in comparison to benchmark models. The prediction performance of a classifier is measured by accuracy, macro F1-score, macro sensitivity, and macro specificity over five model runs. The error bars represent the standard deviations between model runs." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_J_Agric_Food_Chem_2026_74_8_7084_7097_Figure_2_Estimated_Nutrient_Intake_ENI_of_ET_Es_based_on_the_50th_percentile_of_all_investigated_edible_plant_intake_from_Monte_Carlo_simulations_7ad01eb189.jpg 245w," sizes="100vw" width="2092" height="852"><h5>4.3. Human Health Risk Assessment</h5>Noncarcinogenic risk (HQ) values for 5th, 50th, and 95th percentiles of the determined concentrations of investigated ETEs in vegetables, fruits, and cereals calculated using Monte Carlo simulations are presented in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.jafc.5c10365#fig3">Figure 3</a>, and the same values for the sum of edible plants consumed are presented in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.jafc.5c10365#fig4">Figure 4</a>.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/J_Agric_Food_Chem_2026_74_8_7084_7097_Figure_3_Noncarcinogenic_HQ_risk_values_for_investigated_trace_elements_from_various_extraction_methods_4f2d9ee942.jpg" alt="J. Agric. Food Chem. 2026, 74, 8, 7084–7097: Figure 3. Noncarcinogenic (HQ) risk values for investigated trace elements from various extraction methods according to Polish statistical consumption of edible plants, vegetables, fruits, and cereals separately." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_J_Agric_Food_Chem_2026_74_8_7084_7097_Figure_3_Noncarcinogenic_HQ_risk_values_for_investigated_trace_elements_from_various_extraction_methods_4f2d9ee942.jpg 110w," sizes="100vw" width="1822" height="2583"><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/JAGRIC_2_76102decb2.jpg" alt="J. Agric. Food Chem. 2026, 74, 8, 7084–7097: Figure 4. Noncarcinogenic (HQ) risk values for investigated trace elements from various extraction methods according to Polish statistical consumption of the sum of edible plants." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_JAGRIC_2_76102decb2.jpg 245w," sizes="100vw" width="1877" height="896">Due to concentrations below the LOQ, HQ values could not be calculated for several ETEs in vegetables, fruits, and cereals across the different extraction methods. For instance, Co in cereals yielded measurable concentrations only under the TC method, whereas Fe in vegetables was consistently above the LOQ for all extraction methods, allowing HQ estimation in each case. These results indicate that the efficiency of element recovery is both element- and matrix-dependent and that no single extraction protocol is universally optimal for all ETE–matrix combinations.Considering HQs that were successfully simulated across most elements (particularly Co, Cu, and Fe), the TC method produced the highest HQ values, exceeding the risk threshold (HQ = 1) at the 95th percentile for Co and Cu. The 95th percentile HQ for Co under TC reached 1.05 in vegetables and 2.77 in fruits, staying below the safety threshold for cereals, while for Cu it reached 4.30 in vegetables, 1.83 in fruits, and 1.08 in cereals, indicating potential overestimation if full bioavailability is assumed. For Fe the risk was lower, staying below the threshold in all cases, but TC still displayed the highest values in most cases with the 95th percentile HQ reaching 0.66 in vegetables, 0.39 in fruits, and 0.43 in cereals. The only exception to this trend was the 95th percentile risk for Fe in vegetables, where the ISO intestinal yielded 0.87.In contrast, bioaccessibility-based methods (e.g., UBM, PBET, SBET, and BCR) generally generated lower HQs, often falling below the threshold. For example, 95th percentile Co HQ values under UBM gastric and intestinal extractions were ∼0.75 in vegetables, while USEPA was 0.56 and SBET, PBET, and BCR yielded &lt;0.50. A similar trend was observed for Cu, where UBM intestinal yielded 0.58 vs 4.30 under TC.However, Mn and Zn showed distinctively different patterns. For Mn in cereals, the USEPA method produced a median HQ of 5.18 and 15.7 at the 95th percentile, far higher than all the other methods, including the TC method (median 0.32). For Zn in vegetables, ISO gastric (0.39) and intestinal (0.37) extractions gave median HQs higher than that of TC (0.27).<h5>4.7. Implications</h5>This study shows that the extraction method choice greatly affects Estimated Nutrient Intake (ENI) and dietary exposure assessments of essential trace elements in edible plants. Simulated gastrointestinal methods, reflecting human physiology, generally report lower concentrations than the TC method, indicating that relying on total concentrations alone can overestimate intake by ignoring bioaccessibility, a key factor in accurate risk assessment.ENI assessments help evaluate nutrient over- or underexposure but may miss health risks. Monte Carlo-based Hazard Quotient (HQ) analysis provides a more precise dietary risk estimate by accounting for bioavailability and intake variability. This combined approach is crucial for essential elements, balancing deficiency and toxicity concerns.For most elements, ENI values matched recommended intakes, but variations occurred by element, food group, and extraction method. Some simulations indicated possible insufficient intake risks (e.g., Co and Fe in certain plants), while others showed overexposure risks (notably, Cu and Mn) when assuming full bioavailability from total concentrations. These results highlight the need to include realistic bioaccessibility in dietary nutrient assessments.Comparing HQ values across plant types and elements, the study highlights how vegetables, fruits, and cereals contribute differently to nutritional risk. This comprehensive approach offers a clearer picture of dietary exposure than analyses based on only total concentrations or single foods. While most essential trace elements posed no immediate risk under realistic bioaccessibility assumptions, Co and Cu results indicate a potential for excessive intake.Our results revealed that UBM, ISO, PBET1, and BCR1 methods provide the most reliable estimates of ETE bioaccessibility in edible plants, while TC tends to overestimate and simpler methods (SBET, PBET2) may underestimate exposure. Incorporating bioaccessibility-corrected data and considering food matrix-specific factors are essential for accurate dietary risk assessments and effective public health management.In conclusion, these findings highlight the importance of incorporating physiologically relevant extraction methods into dietary risk assessment to complement the total concentration data in food safety and nutrition research. The results may inform future regulatory frameworks, dietary guidance, and fortification strategies. Further research should focus on validating in vitro bioaccessibility with in vivo evidence, exploring nutrient–contaminant interactions, and expanding assessments across diverse diets and populations to strengthen the evidence base for nutrition policy development.</div>

Essential Trace Elements in Edible Plants: Balancing Nutritional Benefits and Potential Health Risks

In the week from April 20, the following webinars await you in the field of atomic and molecular spectroscopy and spectrometry<blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinars">👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</a></h4>👉 Search and filter in the largest global database with over 5 500 GC, LC, MS and spectroscopy webinars.</blockquote><h5>1. Metrohm: Copper deposition baths: Advanced analytical solutions for development and monitoring</h5><ul><li>Tu, 21.4.2026 09:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6123">Registration</a></li></ul>Discover a multi-method approach to copper plating bath analysis combining titration, CVS, XRF, and pH measurement for improved process control, data reliability, and production quality.<h5>2. Thermo Fisher Scientific: Lunch and Learn Tips and Tricks Series: Qtegra Part 2</h5><ul><li>Tu, 21.4.2026 12:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5976">Registration</a></li></ul>Part two explores efficient Qtegra ISDS workflows and integrated tools designed to improve laboratory productivity and enhance trace elemental analysis quality.<h5>3. C&amp;EN: NMR-augmented Workflows: Most Modern Integration into Laboratories</h5><ul><li>Tu, 21.4.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6107">Registration</a></li></ul>From high resolution instruments in smaller footprints to smarter software that enhances data quality and streamlines analysis.<h5>4. Agilent Technologies: Accurate Determination of Chlorine Isotope Ratio Analysis by 8900 ICP-MS</h5><ul><li>Tu, 21.4.2026 20:30 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6047">Registration</a></li></ul>This session discusses techniques for low level chlorine analysis and isotope ratio on the 8900 QQQ-ICPMS.<h5>5. SelectScience: What’s in your hydrogen? Analytical toolkits for fuel purity analysis</h5><ul><li>We, 22.4.2026 10:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6055">Registration</a></li></ul>Join this dual-session webinar on hydrogen impurity testing and ISO 14687 fuel quality. Learn how GC, GC-MS, IC, and FTIR workflows support safe, compliant hydrogen production and fuel-cell applications.<h5>6. Bruker: Introduction to Photothermal AFM-IR for Infrared Spectroscopists</h5><ul><li>We, 22.4.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6109">Registration</a></li></ul>With photothermal atomic force microscope infrared spectroscopy (AFM-IR), chemical identification at the nanoscale is achieved by measuring local IR spectra directly at the AFM tip.<h5>7. Mettler-Toledo: How to Determine Specific Heat Capacity by DSC</h5><ul><li>Th, 23.4.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5736">Registration</a></li></ul>Explore six DSC techniques for measuring specific heat capacity and understand its importance in material performance, processing, and safety. Join the live webinar.<h5>8. Bruker: EDS Analysis of Fibers, Polymers, and Ceramics – Best Practices</h5><ul><li>Th, 23.4.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6111">Registration</a></li></ul>Different EDS measurement approaches using conventional geometry and an annular approach (QUANTAX FlatQUAD) making the best choice for challenging analytical tasks.

Webinars LabRulezICPMS Week 17/2026

Proficiency testing (PT) is applicable to quantitative, qualitative and interpretative assessments, but this leaflet will concentrate on PTs for quantitative tests. Participation in PT is an essential part of the quality assurance in analytical laboratories and provides them with many benefits. In PT the provider evaluates the performance of participants against pre-established criteria defined in the design of the PT scheme.<h4>Performance evaluation&nbsp;</h4>The majority of PT schemes involve some form of performance score, such as the z or similar scores1 , and corresponding assessment criteria. An assigned value (xpt) and a standard deviation for proficiency assessment (spt) are determined and used to calculate the performance score of the laboratory result (xi), e.g. the z score with z = (xi - xpt ) / spt<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_How_can_proficiency_testing_help_my_laboratory_2_c1bf0b596f.jpg" alt="Eurachem: How can proficiency testing help my laboratory?" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_How_can_proficiency_testing_help_my_laboratory_2_c1bf0b596f.jpg 195w," sizes="100vw" width="952" height="761">Assessment of z scores is based on the following criteria:&nbsp;<ul><li>|z| ≤ 2.0 is regarded as satisfactory;&nbsp;</li><li>2.0 &lt; |z| &lt; 3.0 is regarded as questionable (‘warning signal’);&nbsp;</li><li>|z| ≥ 3.0 is regarded as unsatisfactory (‘action signal’).&nbsp;</li></ul>This is based on the concept that normally distributed analytical results lie within two standard deviations with a probability of ca. 95 %, and within three standard deviations with a probability of 99.7 %.&nbsp;PT providers have several options to determine spt such as prescribed/perceived desirable analytical performance or the observed distribution of data. The spt used by the PT provider may not be appropriate for all laboratories. If justified, the participants may then calculate their own z score using an alternative spt value which is fit for their purpose.&nbsp;<h4>Corrective actions</h4>Unsatisfactory performance scores (‘action signal’) indicate possible problems in the analysis undertaken. The laboratory must investigate this (e.g. by checking for transcription/calculation errors, trueness and precision) and, if necessary, address the problems through appropriate corrective actions. Participation in the PT provides very limited benefits to the laboratory, if unsatisfactory performance scores are not acted upon.<h4>Evaluation of results over time&nbsp;</h4>In addition to internal quality control, regular participation in PT enables laboratories to monitor their performance over time and to identify trends before these become problems. Performance scores obtained from subsequent PT rounds can be plotted in a control chart.&nbsp;<h4>Method comparisons&nbsp;</h4>Where PT schemes require participants to report details of the method used, the PT report may enable the participant to compare the performance of their method with that of other methods used.&nbsp;<h4>Use of PT data to estimate bias&nbsp;</h4>The bias of a method should be established using certified reference materials (CRMs) or comparison with a reference method. However, these may not be available for all matrices, analytes and levels, or CRMs may not be fully representative of the real test samples. Participation in PT provides the opportunity to check the bias taking into account the effects of matrix and concentration variation, provided that a reliable estimate of the “true value” is assigned in the PT. Participation in several PT rounds also provides information on the bias variability which can be used as a contribution in the laboratory evaluation of the measurement uncertainty.&nbsp;<h4>Use of PT to check measurement uncertainties&nbsp;</h4>The ζ (zeta) score can help to check the plausibility of the laboratory’s measurement uncertainty estimate. It is calculated as follows:<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_zeta_score_calculation_b70d8b1187.jpg" alt="Eurachem: Zeta score calculation" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_zeta_score_calculation_b70d8b1187.jpg 245w," sizes="100vw" width="423" height="188">where xi is the laboratory’s result, xpt the assigned value, and u(xi) and u(xpt) are their respective standard uncertainties.&nbsp;The assessment criteria for satisfactory, questionable and unsatisfactory results are the same as for the z score. The uncertainty reported by a laboratory for its measurement result is an estimate of the accuracy that the laboratory claims to reach. If ζ scores are outside the acceptable range, this shows that the laboratory is not able to fulfill its own requirements. In other words the measurement uncertainty is underestimated.&nbsp;Additionally, the standard measurement uncertainty of a laboratory result can be expected to be lower than the reproducibility observed in the proficiency test. If the measurement uncertainty is much lower the uncertainty estimate should be reviewed.&nbsp;<h4>Demonstration of competence&nbsp;</h4>Successful participation in PT (| z | ≤ 2.0) is often seen as a proof of competence to customers, accreditation bodies and regulatory authorities. PT can also provide a valuable educational element to the laboratory, for example it can indicate the success of staff training or where additional training is required.&nbsp;<h4>More information / further reading&nbsp;</h4>B. Brookman and I. Mann (eds.) Eurachem Guide: Selection, Use and Interpretation of Proficiency Testing (PT) Schemes (3rd ed. 2021). Information about PT providers and schemes can be obtained from your national accreditation body, from the EPTIS website (www.eptis.org) or from other national or international organisations.

How can proficiency testing help my laboratory?

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Eurachem is a European network promoting international traceability of chemical measurements and good analytical practice. It provides expert guidance, supports method validation, uncertainty evaluation, proficiency testing, and facilitates discussion on technical and policy issues in analytical quality.

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Agilent Technologies

Thermo Fisher Scientific

Shimadzu Corporation

Three-day virtual workshop covering 200.7 and 6010 methods from sample preparation to report generation, all in an environment where you can interact with peers and application experts from Agilent, who will be there to answer all your analytical questions.
You will Learn:
<ul>
<li>EPA Drinking Water, Waste Water, and Soil Analysis
</li>
<li>QC Parameter Setup
</li>
<li>Requirements and Techniques for Measuring Tough Samples
</li>
<li>Tips to Achieve the Highest Sensitivity
</li>
<li>Sample Preparation and Digestion Techniques
</li>
<li>Standard and QC Preparation for Trace Metal Analysis
</li>
<li>Data Analysis &amp; Processing
</li>
<li>Report Generation and Customization
</li>
</ul>
<blockquote>
Presenter: Greg Gilleland (Application Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Greg began his spectroscopy career in 1987 in Colorado, working at a series of environmental labs. After 14 years working in the world of commercial environmental labs, he moved on to a spectroscopy instrument manufacturer where he performed service and sales functions over the course of 11 years. He has been with Agilent Technologies, Inc., since 2012 in the role of Application Scientist for ICP-OES, MP-AES and AA products.
</blockquote>
<blockquote>
Presenter: Sima Singha, PhD (ICP-OES Application Scientist, Atomic Spectroscopy, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Sima has over fifteen years of hands on experience as an applications scientist in the field of atomic spectroscopy. Before joining Agilent in 2017, managed an agricultural chemistry laboratory for the analysis of water, soil, and plant tissue digests using ICP-OES for various EPA methods. She received a Ph.D. degree in Chemistry from the University of Illinois at Chicago with numerous peer-reviewed publications.
</blockquote>
<blockquote>
Presenter: Ana García González (Atomic Spectroscopy Application Scientist, Agilent Technologies)
</blockquote>
<blockquote>
Ana Garcia is the Atomic Spectroscopy Application Scientist at Agilent Technologies. Ana has a broad background in atomic spectroscopy technologies, including international experience developing and validating analytical spectroscopy methods for the geochemical industry. She has also published in the fields of molecular spectroscopy and chemometrics. Ana holds a MSc in plant Biotechnology at CINVESTAV, México, and a Bachelor of Science in Biotechnology Engineering.
</blockquote>

Agilent Technologies: Exploring QC Parameter Setup as well as Tips and Tricks for Measuring Tough Samples while Achieving the High Sensitivity

Exploring QC Parameter Setup as well as Tips and Tricks for Measuring Tough Samples while Achieving the High Sensitivity

200.7 and 6010 methods from sample preparation to report generation.

Exploring QC Parameter Setup as well as Tips and Tricks

Agilent Technologies: Bring it all together with Data Analysis & Processing as well as Report Generation and Customization

Bring it all together with Data Analysis & Processing as well as Report Generation and Customization

Bring it all together with Data Analysis & Processing

Agilent Technologies: A dive into Sample Preparation and Digestion Techniques as well as Calibration Standard and QC Preparation for Trace Metal Analysis

A dive into Sample Preparation and Digestion Techniques as well as Calibration Standard and QC Preparation for Trace Metal Analysis

A dive into Sample Preparation and Digestion Techniques

Innovations in ICP-MS instrumentation improve robustness, performance, and ease of use, however, obtaining accurate results and addressing sample failures are challenges that cannot be addressed through innovation alone.
Reducing systematic errors and streamlining workflow processes are part of the equation in figuring out how to obtain accuracy and achieving productivity goals. The other part of the equation is developing an optimized analytical method and analyzing data to identify troubleshooting and maintenance measures.
In Part 4 of this webinar series, tips and tricks for method development and daily operation will be discussed including the following topics for successful day-to-day operation of the ICP-MS:
<ul>
<li>Instrument tuning, performance report analysis, and measures to address failed performance specifications
</li>
<li>Pre-analysis inspection routines
</li>
<li>Method optimization with example applications for environmental and industrial samples
</li>
<li>Data analysis and troubleshooting failed results
</li>
<li>Preventive and routine maintenance
</li>
</ul>
Key learning objectives
<ul>
<li>Learn about new software features for easy instrument tuning according to the sample matrices.
</li>
<li>How to address failures in performance report specifications prior to analysis to avoid sample failures.
</li>
<li>Pre-analysis inspection routines to ensure successful analysis.
</li>
<li>How to develop an optimized method including operating parameters, QC protocol, and interference correction techniques.
</li>
<li>Troubleshoot failed sample results and performing routine and preventive maintenance.
</li>
</ul>
Who should attend
<ul>
<li>Laboratories performing trace elemental analyses by ICP-MS, ICP-OES, and AAS.
</li>
<li>Laboratories starting up or looking to bring ICP-MS analysis in-house.
</li>
<li>Analysts seeking information on method development, optimizing instrument configuration and operating parameters.
</li>
<li>Analysts evaluating data and seeking measures to troubleshoot failed sample results.
</li>
<li>Analysts seeking tips and tricks for routine and preemptive maintenance to prevent sample failures and reruns.
</li>
</ul>
<blockquote>
Presenter: Sabrina Antonio (Regional Marketing Manager, Trace Elemental Analysis and Inorganic Mass Spectrometry, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Sabrina’s extensive background includes senior chemical engineer and project manager at electric utilities, application specialist for atomic spectroscopy, and lead auditor for the US EPA Contract Laboratory Program (CLP) inorganic statement of work. She joined Thermo Fisher Scientific in 2015 as a technical sales specialist before becoming regional marketing manager for the trace elemental analysis product line in 2018.
</blockquote>
<blockquote>
Presenter: John Schmelzel (Staff Scienticist, Trace Elemental Analysis, Thermo Fisher Scientific)
</blockquote>
<blockquote>
John Schmelzel is a Staff Scientist at Thermo Fisher Scientific responsible for ICP-OES ICP-MS and Atomic Absorption. He graduated from the University of Colorado Boulder and has been with Thermo Fisher Scientific for nearly 35 years supporting customers and developing the technology.
</blockquote>

Thermo Scientific: Success in ICP-MS analysis: Method optimization, maintenance, and troubleshooting tips and tricks

Success in ICP-MS analysis: Method optimization, maintenance, and troubleshooting tips and tricks

Tips and tricks for method development and daily operation (tuning, inspection, method optimization, data analysis and troubleshooting, maintenance)

ICP-MS analysis: optimization, maintenance, troubleshooting

Maximizing efficiency in routine analyses is crucial and should be a priority for any lab. Maintaining an efficient lab workplace means you can generate accurate and timely results with high throughput, saving time, energy, and money without sacrificing the quality of your results. Achieving and maintaining that efficiency and doing more with less can help you optimize your workflow and ensure you maintain your reliability, safety, and compliance goals.
In this webinar, we&#39;ll provide some vital tips that can help you improve efficiency in your lab for your ICP-OES and ICP-MS analyses without shortcuts that may otherwise sacrifice quality. We’ll highlight some AI-based software tools that can simplify method development and reduce errors during analysis by avoiding reporting results that have been affected by an interference. These tools can also provide real-time warning of unpredictable events such as nebulizer leaks and blockages, which can help the analyst avoid collecting potentially erroneous data. We’ll also provide some essential maintenance tips and guidelines to help ICP-OES and ICP-MS users identify and overcome the most common causes of unplanned downtime and inconsistent results.
By attending this presentation, you will learn about:
<ul>
<li>New software tools that can help you simplify method development and reduce errors during analysis
</li>
<li>AI-based software tools that provide real-time warning of unpredictable events such as nebulizer leaks and blockage so you can avoid problems before they occur
</li>
<li>Essential maintenance tips and routines that can help you overcome the most common causes of unplanned downtime and inconsistent results.
</li>
</ul>
Who Should Attend:
This webinar is recommended for any analyst or lab manager looking to improve efficiency and reduce errors in their routine analysis workflows with their ICP-OES and ICP-MS analyses.
<blockquote>
Presenter: Eric Vanclay (Spectroscopy Supplies Marketing Manager, Agilent, Melbourne, Australia)
</blockquote>
<blockquote>
Eric Vanclay graduated from Monash University in Melbourne, Australia, with a Bachelor of Science degree majoring in Chemistry in 1985. He has since completed further postgraduate studies in Marketing. He joined Varian in 1988 and has worked in a number of roles, including Atomic Absorption Product Specialist, Atomic Absorption Product Manager, Export Marketing Manager, European Field Sales/Applications Specialist (atomic spectroscopy), ICP-OES Product Manager, and MP-AES Product Manager. After the acquisition of Varian by Agilent, Eric took on the role of Spectroscopy Supplies Marketing Manager, with responsibility for field sales support, customer support, product development, and marketing of the spectroscopy supplies. He has over 30 years of experience with all of the atomic spectroscopy techniques. He is based at Agilent’s Spectroscopy Technology Innovation Centre in Melbourne, Australia.
</blockquote>
<blockquote>
Presenter: Alain Desprez (ICP-MS Supplies Product Manager, Agilent, Les Ulis, France)
</blockquote>
<blockquote>
Alain Desprez completed his PhD, which focused on “The characterization of petroleum product using ICP-MS and High-Resolution Mass Spectrometry” at the University of Pau in 2014. The same year, he joined Agilent as an ICP-MS Application Engineer in France. In this role, he has been able to develop his applications knowledge and skills related to atomic spectroscopy by supporting Agilent’s ICP-MS, ICP-OES, MP-AES, and AAS instrumentation in the France Demo Centre. After nine years as an Application Engineer, Alain took on the role of Global ICP-MS Supplies Product Manager and still works from the France Demo Centre in Les Ulis.
</blockquote>

Separation Science: Improving Efficiency in the Lab with ICP-OES and ICP-MS Analyses

Improving Efficiency in the Lab with ICP-OES and ICP-MS Analyses

Discover tips that can help you improve efficiency for your ICP-OES and ICP-MS analyses without shortcuts that may otherwise sacrifice quality.

Efficiency in the Lab with ICP-OES and ICP-MS Analyses

AA or ICP-OES/MS is often viewed as the golden standard to analyze elements during the pharmaceutical manufacturing process, from drug discovery to the QA/QC of final formulations.
While extremely accurate, these techniques have the downside of requiring the sample to be in liquid form when analyzing, resulting in a very arduous sample-preparation process and long analysis time.
In this seminar, we would introduce Energy-Dispersive X-Ray Fluoroscopy (EDX) as an alternative technique to perform elemental analysis that requires little sample preparation, is easy to use and can provide results quickly; and how it could be used in various areas of the pharmaceutical industry.
Learning Objectives:
<ul>
<li>Understanding how EDX can be used to perform elemental analysis
</li>
<li>Understanding how EDX can be used in the Pharma Industry
</li>
<li>Advantages of using EDX for elemental analysis
</li>
</ul>
<blockquote>
Presenter: Tan Teck Beng (Senior Product Specialist, Shimadzu (Asia Pacific) Pte. Ltd.)
</blockquote>
<blockquote>
Tan Teck Beng has been providing application support for XRF, XRD, EPMA, SPM and ESCA for the past 19 years in Shimadzu (Asia Pacific). He has conducted numerous Application Seminars and Workshops on Materials Characterization/Failure Analysis/Restriction of Hazardous Substances in many countries in the region, including Malaysia, Indonesia, Thailand, India, Philippines, Myanmar, Vietnam and Singapore.
</blockquote>
<blockquote>
He is currently providing Application and Technical Support for Shimadzu&#39;s Scientific Instruments for more than 200 companies in Asia Pacific Region.
</blockquote>
<blockquote>
Presenter: Mizuno Motohisa (Deputy General Manager, Scientific Sales, Shimadzu (Asia Pacific) Pte. Ltd.)
</blockquote>
<blockquote>
Mizuno-san has worked for Sales for the past 20 years in Shimadzu Japan. He has worked at Shimadzu’s Tokyo and Kyushu and Kansai branch offices and has extensive experience in catering to customers belonging to pharma, academia, food and chemical, among others. Before moving to Shimadzu (Asia Pacific), he served as a Sales Manager in the Kansai branch for the past 3 years, where he was in-charge of pharma customers as part of the Analytical &amp; Measuring Instruments Division.
</blockquote>

Shimadzu: EDX: A Fast & Simple Technique for Pharmaceutical Elemental Analysis

EDX: A Fast & Simple Technique for Pharmaceutical Elemental Analysis

Energy-Dispersive X-Ray Fluoroscopy (EDX) as an alternative technique to perform elemental analysis that requires little sample preparation.

EDX: A Fast & Simple Technique

In this two-part webinar series, the sources of interferences in ICP-OES and ICP-MS and how to identify them will be described.
Software approaches for correcting interfered results which each technique will be presented and the latest instrumental developments for minimizing interference problems will also be discussed.
Interferences are a well-known problem in both inductively coupled plasma–optical emission spectroscopy (ICP-OES) and ICP–mass spectrometry (ICP-MS). They can be subdivided into three main types: chemical, physical, and spectral.
<ul>
<li>Chemical interferences are caused by differences in the way sample and calibration solution matrices behave in the plasma, resulting in changes in atomization and ionization that are dependent on the matrix composition of the sample. An example of this type of interference is the enhancement effect (which causes falsely high results) observed on both atom and ion signals for elements such as arsenic and selenium, when carbon is present in the samples but not the calibration solutions.
</li>
<li>Physical interferences are also caused by matrix differences between samples and calibration solutions. Examples of this type of interference include signal suppression (due to high amounts of easily ionized elements, such as sodium, in the samples), drift and signal variability from sample to sample caused by, for example, changes in nebulization efficiency as a result of viscosity differences between samples. These interferences can cause reported results to be either too high or too low if they are not properly corrected for.
</li>
<li>The last, and most challenging, type of interference is spectral interference. For ICP-OES, these are observed as either direct or partial emission wavelength overlaps on the signals of target analytes from other elements or molecular species in the sample. For ICP-MS, spectral interferences from other elements in the sample appear as either direct (from singly charged ions) or half-mass (from doubly charged ions) overlaps on the target ion isotope signals. With ICP-OES, spectral interferences, like physical interferences, can cause falsely high or falsely low results. With ICP-MS, the overlaps caused by interfering signals generate false positive signals, but if incorrect mathematical corrections are applied to the data, falsely low results can also be reported.
</li>
</ul>
Key learning objectives
<ul>
<li>Understand what types of interferences exist in ICP-OES and ICP-MS and how they affect your results.
</li>
<li>Learn strategies for identifying and managing these interferences.
</li>
<li>Find out how innovations in hardware help reduce interferences, improve accuracy, and remove the need to re-run samples.
</li>
<li>Discover how intelligent software tools enable easier, interference-free method development.
</li>
</ul>
Part 1
<blockquote>
Presenter: Matthew Cassap (Product Marketing Manager (AAS and ICP-OES) Thermo Fisher Scientific)
</blockquote>
<blockquote>
Presenter: Dr. Sukanya Sengupta (Application Specialist Trace Elemental Analysis Thermo Fisher Scientific)
</blockquote>
Part 2
<blockquote>
Presenter: Dr. Daniel Kutscher (Product Marketing Specialist Thermo Fisher Scientific)
</blockquote>
<blockquote>
Presenter: Dr. Simon Nelms (Product Marketing Manager Thermo Fisher Scientific)
</blockquote>

Thermo Scientific: ICP-OES and ICP-MS Interferences explained

ICP-OES and ICP-MS Interferences explained

The sources of interferences in ICP-OES and ICP-MS and how to identify them.

Inductively coupled plasma–optical emission spectroscopy (ICP-OES) is one of the major techniques used for trace elemental analysis.
However, the technique is not without its limitations, which include:
<ul>
<li>The ability to analyze high matrix samples restricted to radial only instruments
</li>
<li>Speed is typically achieved by a compromise in sensitivity
</li>
<li>Improvements in sensitivity are achieved through the use of accessories, which add complexity
</li>
</ul>
This webcast will focus on the most recent advances in ICP-OES that address these challenges and ensure that they are no longer barriers to your elemental analysis.
Key learning objectives
<ul>
<li>Understand how to analyze high-matrix samples on both radial and duo ICP-OES systems without compromising data
</li>
<li>Learn how simultaneous ICP-OES systems coupled with advanced CID detections can achieve high sample throughput without effecting sensitivity
</li>
<li>Explore options for increasing sensitivity without the need the for additional accessories
</li>
</ul>
Who should attend
<ul>
<li>Lab managers and analysts that have specific analytical challenges with interferences
</li>
<li>Researchers that want to be ready for future challenges in trace elemental analysis
</li>
<li>Lab leaders who want to leverage the full potential of their instrument
</li>
</ul>
<blockquote>
Presenter: Sebastian Weyermann (Product Manager ICP-OES, Thermo Fisher Scientific Inc.)
</blockquote>
<blockquote>
After graduating with a degree in chemistry and economics in 2012, Sebastian joined Honeywell as a procurement specialist. One year later he moved into the role of a product manager for bulk fine chemicals and later he took over the role as product manager for the new Honeywell Lab chemical business unit. In 2018, he moved to Thermo Fisher as product manager for AA and ICP-OES instruments.
</blockquote>
<blockquote>
Presenter: Nora Bartsch (Product Specialist ICP-OES, Thermo Fisher Scientific Inc.)
</blockquote>
<blockquote>
After finishing her education as a chemical technical assistant, Nora joined Thermo Fisher Scientific in Bremen in 2010. In 2016 she became an application specialist for ICP-OES, where she supports the customer with the development and implementation of new methods and regulations in their laboratory routines.
</blockquote>

Thermo Scientific: Perform Like a PRO: Fast ICP-OES Analysis with the Latest Advances

Perform Like a PRO: Fast ICP-OES Analysis with the Latest Advances

Most recent advances in ICP-OES that address these challenges and ensure that they are no longer barriers to your elemental analysis.

Perform Like a PRO: Fast ICP-OES Analysis

Join us for an insightful webinar in which we&#39;ll focus exclusively on the advancements and applications of inductively coupled plasma mass spectrometry (ICP-MS) and ADS 2 technologies. Gain in-depth knowledge on how these cutting-edge solutions can enhance the workflow efficiency of the analysis of environmental samples (including water, sediment, and soil) in your laboratory. Don&#39;t miss this opportunity to stay ahead in quality management for environmental testing with the latest innovations.
By attending this webinar, you will learn how:
<ul>
<li>To utilize features of autocalibration, prescriptive dilution, and reactive dilution on ADS 2 during method development</li>
<li>To use different application methods according to sample type, for example, wastewater and soil sample</li>
<li>The ADS 2 can help in the reduction of re-work, human error, and contamination from manual preparation</li>
</ul>
Benefit from:
<ul>
<li>Automated calibration preparation eliminating labour work and human error</li>
<li>Prescriptive dilution and reactive dilution for unknown samples improving lab productivity</li>
<li>Wide coverage across low to high sample matrix with the combination of ADS 2 and UHMI in a single method</li>
</ul>
What is covered?
<ul>
<li>Participants will gain a comprehensive understanding of how the integrated ICP-MS with ADS 2 system can perform the automated workflow by eliminating tedious labor work and reducing human error to ensure high throughput and exceptional quality of results. This webinar will equip attendees with the knowledge to make informed decisions on improving their laboratory’s efficiency and accuracy, ultimately leading to more reliable environmental testing processes.</li>
<li>This webinar will share two application examples using ICP-MS with ADS 2, demonstrating the excellent analytical performance for different types of matrices and offering automated solutions to users who need to improve their lab productivity.</li>
</ul>
Who should attend?
<ul>
<li>Laboratory managers seeking to enhance operational efficiency</li>
<li>Analytical chemists and technicians from testing fields</li>
<li>Quality assurance and control specialists focusing on improving analytical accuracy</li>
<li>Environmental scientists interested in cutting-edge laboratory technologies</li>
</ul>
What you need to know:
Date: 24 July, 2024
Start times:
Broadcast #1: 24 July - 10 am BST (London) / 11 am CEST (Paris/Berlin) / 2:30 pm IST (New Delhi) / 5 pm SGT (Singapore)
Broadcast #2: 24 July - 10 am PDT (Los Angeles) / 12 pm CDT (Chicago) / 1 pm EDT (New York)
Duration: Approximately 60 minutes
<blockquote>
Presenter: Rentaro Yamashita (Application Chemist – Agilent Technologies)
</blockquote>
<blockquote>
Rentaro has been with Agilent since 2022 and is currently working as an application chemist in the Atomic Spectroscopy Division. Before joining Agilent, Rentaro earned a master’s degree in pharmacy and studied analytical chemistry in graduate school, where he focused primarily on developing LC-MS/MS methods.
</blockquote>
<blockquote>
Presenter: Dr. Aimei Zou (Solution Scientist – Agilent Technologies)
</blockquote>
<blockquote>
Aimei joined Agilent in 2018 as a Solution Scientist based in Singapore. She received her PhD in Analytical Chemistry in 2008. Aimei has over 16 years of experience in method development covering a dynamic range of technology from atomic spectroscopy, including ICP-MS, ICP-OES and AAS, to LC/GC mass spectrometry. In her current role with the Global Solution Development Center, Aimei focuses on developing integrated workflow solutions for food, environmental, and emerging markets.
</blockquote>

Separation Science: Next-Gen Automation Solutions: Boosting Lab Productivity with ICP-MS and ADS 2

Next-Gen Automation Solutions: Boosting Lab Productivity with ICP-MS and ADS 2

We'll focus exclusively on the advancements and applications of inductively coupled plasma mass spectrometry (ICP-MS) and ADS 2 technologies.

Boosting Lab Productivity with ICP-MS and ADS 2

Join us for an insightful webinar in which we'll focus exclusively on the advancements and applications of ICP-OES. Gain in-depth knowledge of how this technique can enhance the workflow efficiency of the analysis of advanced materials samples (including plastic and solid electrolyte) in your laboratory. Don't miss this opportunity to stay ahead in the restriction of hazardous substances (RoHS) compliance and electrolyte testing with the latest innovations.In the first presentation, we will explore the European Union's &nbsp;RoHS directive limits on specific hazardous materials in electrical and electronic equipment (EEE). Compliance with RoHS regulations, especially in testing complex materials, such as plastics, poses challenges for manufacturers, importers, and distributors. ICP-OES provides a robust solution for RoHS compliance testing in terms of measurement of Cd, Cr, Pb, and Hg. The presentation highlights the detailed sample preparation and precise element analysis by ICP-OES, featuring Intelligent Rinse technology.In the second presentation, we will go on to explore solid-state batteries as an emerging battery technology that uses a solid superionic electrolyte material instead of traditional liquid-phase electrolytes. Learn more about this emerging technology as well as how ICP-OES can provide a simple way to accurately determine contaminants and ensure the quality of the final battery.<h5>By attending this presentation, you will learn:</h5><ul><li>Gain a comprehensive understanding of how inductively coupled plasma optical emission spectrometry (ICP-OES) can perform accurate analysis of hazardous substances in EEE for RoHS compliance testing and in electronic waste (e-waste) for monitoring and research purposes, while improving your laboratory’s efficiency and productivity.</li><li>Gain an understanding of solid-state battery technology and discover how to overcome hurdles while analyzing solid electrolyte using ICP-OES.</li></ul><h5>Who should attend:</h5><ul><li>Analytical chemists working in elemental analysis, materials scientists and engineers working with solid-state electrolytes or batteries, environmental scientists interested in RoHS compliance testing, quality assurance, and regulatory compliance, personnel involved in ensuring products meet RoHS or other regulatory standards, researchers in academia, and laboratory technicians and managers.&nbsp;</li></ul><blockquote>Presenter: Aimei Zou, Ph.D (Solution Scientist, Agilent Technologies, Singapore)Aimei joined Agilent in 2018 as a solution scientist based in Singapore. She received her Ph.D in Analytical Chemistry in 2008. Aimei has over 17 years of experience in method development, covering dynamic technologies from atomic spectroscopy, including ICP-MS, ICP-OES, and AAS, to LC and GC mass spectrometry. In her current role with the Global Solution Development Center, Aimei focuses on developing integrated workflow solutions for food, environmental, and emerging markets.Presenter:&nbsp;Ruby Bradford (Application Chemist, Agilent Technologies, Melbourne, Australia)Ruby is an application chemist at Agilent Technologies, having worked in the Atomic Spectroscopy Division since 2020. She works frequently on the analysis of fine chemicals using techniques such as ICP-OES and is experienced in method development and sample preparation techniques in the advanced materials sector. She has a particular passion for the booming lithium-ion battery market and promoting a sustainable future through electrification.</blockquote>

SeparationScience: Advanced ICP-OES Applications: From RoHS Compliance to Solid Electrolyte Analysis

Advanced ICP-OES Applications: From RoHS Compliance to Solid Electrolyte Analysis

Gain insights into how ICP-OES can optimize workflows for the analysis of complex materials.