A Method for the Detection of Tire Wear Microplastics in Zebrafish Guts by Laterally Resolved LA-ICP-MS-Based Elemental Fingerprinting and Chemometrics

This leaflet is intended to help participants in quantitative proficiency testing (PT) schemes to better understand the performance assessment made by the PT provider [1-4].<h3>Performance assessment parameters&nbsp;</h3><h4>Assigned value&nbsp;</h4>In order to assess individual performances, the results reported by participants are compared to the value assigned by the PT provider (xpt). ISO 13528 [1] suggests five different ways to obtain xpt (Figure 1). In this context, the design of the PT scheme must reflect the objectives of the scheme, comparing results either to a predetermined xpt (independent from the participant results), or to a value derived from the reported results. The PT provider is responsible for defining xpt , taking into account the advantages and disadvantages of the various possibilities when establishing metrological traceability or estimating the uncertainty of the assigned value, u(xpt).<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Figure_1_e5ef5d1f9c.jpg" alt="Eurachem - Figure 1 Options for obtaining the assigned value, Xpt" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Figure_1_e5ef5d1f9c.jpg 245w," sizes="100vw" width="640" height="382"><h4>Uncertainty of the assigned value&nbsp;</h4>The uncertainty of the assigned value u(xpt) can be estimated in at least five different ways [1], each corresponding to the value assignment strategy illustrated in Figure 1. The different uncertainty evaluation methods are listed in Figure 2. This uncertainty can be reported as a standard uncertainty (u (xpt)), or as an expanded uncertainty U (xpt) with a coverage factor k, where U (xpt) = k . u (xpt). The choice of k will impact the level of confidence (e.g. approximately 95 % for k = 2).<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Figure_2_f41ebc0c61.jpg" alt="Eurachem: Figure 2 Options for obtaining the uncertainity of the assigned value, u(Xpt)" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Figure_2_f41ebc0c61.jpg 245w," sizes="100vw" width="727" height="378"><h4>Standard deviation for proficiency assessment&nbsp;</h4>Five possibilities are suggested by ISO 13528 to set the standard deviation for proficiency assessment spt (Figure 3). The chosen approach must comply with the objectives of the PT scheme.&nbsp;<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Figure_3_f09cb3969e.jpg" alt="Eurachem: Figure 3 Options for obtaining the standard deviation for proficiency assesment" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Figure_3_f09cb3969e.jpg 245w," sizes="100vw" width="638" height="355">Two approaches for performance assessments use spt as shown in Table 1.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Table_1_Scoring_for_performance_assessment_3dd03aa3fb.jpg" alt="Eurachem: Table 1 - Scoring for performance assessment." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Table_1_Scoring_for_performance_assessment_3dd03aa3fb.jpg 245w," sizes="100vw" width="1390" height="571"><h3>Performance assessment&nbsp;</h3>All performance assessments are based on the difference between the participant’s results (xi) and the assigned value (xpt) divided by a normalisation factor (Table 1).&nbsp;<ul><li>The percent difference D% is the normalised difference expressed as a percentage of xpt , for which a prescribed maximum relative permissible error (dE% = dE / xpt) is defined by the PT provider.&nbsp;</li><li>The z score (unitless) compares the participant’s deviation from the assigned value with the standard deviation for proficiency assessment (spt). When the uncertainty of the assigned value is significant (u(xpt) &gt; 0.3 spt), the z’ score should be used instead, to include the contribution of u(xpt) in the denominator.&nbsp;</li><li>The zeta (ζ) score (unitless) states whether the laboratory’s result agrees with the assigned value within the respective uncertainty. The denominator is the combined (standard) uncertainty of the assigned value u(xpt) and the (standard) measurement uncertainty reported by the laboratory u(xi). An unsatisfactory zeta score can either be caused by an inappropriate estimation of the measured quantity value (e.g. concentration, content), or of its measurement uncertainty, or both.&nbsp;</li><li>The En score (unitless), unlike the zeta score, uses a combination of expanded uncertainties as the normalisation factor. This combination corresponds to a confidence interval of approximately 95 %. En scores are often used in metrology comparisons among calibration laboratories.</li></ul><h3>Interpretation of performance scores&nbsp;</h3>According to ISO 13528:2022 clause 9.4.2, the conventional interpretation of the z, z’ and ζ scores is as follows:&nbsp;<ul><li>A result that gives |score| ≤ 2.0 is considered to be acceptable, indicating satisfactory performance.&nbsp;</li><li>A result that gives 2.0 &lt; |score| &lt; 3.0 is considered to give a warning signal, indicating questionable performance.&nbsp;</li><li>A result that gives |score| ≥ 3.0 is considered to be unacceptable (or action signal), indicating unsatisfactory performance.&nbsp;</li></ul>Similarly, |En| &lt; 1 and |D%| &lt; dE% indicate successful (acceptable) performance.

Understanding PT performance assessment

Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 15th June 2026? Check out new documents from the field of spectroscopy/spectrometry and related techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">LabRulezLCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">LabRulezGCMS</a> libraries.</blockquote>This week we bring you technical note by Agilent Technologies, application note by Shimadzu and other document by Thermo Fisher Scientific!<h3>1. Agilent Technologies: Smooth Migration from Single Quadrupole ICP-MS to the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=9500">Agilent 9500 ICP-QQQ</a></h3>Automated method transfer using the Batch Conversion Tool of Agilent OpenLab ICP-MS software<ul><li>Technical note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/te_batch_conversion_tool_9500_icp_ms_5994_9214en_agilent_0a1bba76e2.pdf">Full PDF for download</a></li></ul>Transitioning from a single quadrupole (SQ) ICP-MS to a triple quadrupole ICP-MS (ICP-QQQ) might appear daunting or disruptive, usually requiring the redevelopment of analytical methods and workflows. Users often wonder if they can reuse existing batches and whether routine processes will be interrupted during this switch.&nbsp;Switching from SQ ICP-MS to the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=9500">Agilent 9500 ICP-QQQ</a> involves minimal disruption. Agilent provides a solution that enables smooth, automated transfer of existing SQ ICP-MS methods to the 9500 ICP-QQQ, all while preserving the current batch logic and analytical purpose.This note explains how the Batch Conversion Tool in Agilent OpenLab ICP-MS software facilitates automated batch conversion. It allows users to seamlessly transition from SQ ICP-MS to the 9500 ICP-QQQ without needing to rebuild methods or alter their existing workflows.&nbsp;Three key aspects of method migration are addressed in this document:&nbsp;<ul><li>The design concept and conversion behavior of the Batch Conversion Tool, detailing which batch elements are preserved or adapted during conversion.&nbsp;</li><li>It also explains the rationale behind the available conversion options and how the advanced cell technologies of the 9500, such as Advanced Helium Mode (AHM) and Air cell mode, support operational continuity and potential performance improvements after migration.&nbsp;</li><li>Additionally, it outlines a typical end-to-end migration workflow, including methods for reviewing the postconversion process and assessing data quality using built-in indicators.&nbsp;</li></ul>These points collectively show that switching from SQ ICP-MS to the 9500 ICP-QQQ can be seamless. They also illustrate how to carry out method transfer in a controlled and transparent manner, providing a practical framework for refining the method when necessary.<h4>What is the Batch Conversion Tool?&nbsp;</h4>The Batch Conversion Tool is a feature of OpenLab ICP-MS software that transforms batches created for Agilent SQ ICP-MS systems into formats compatible with the 9500 ICP-QQQ (see Figure 1).&nbsp;Batches made for <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=7700">Agilent 7700</a>, <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=7800">7800</a>, <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=7850">7850</a>, and <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=7900">7900 </a>ICP-MS instruments using Agilent ICP-MS MassHunter or OpenLab ICP-MS software can be imported and converted. During this process, the tool applies predefined rules to produce a batch suitable for the 9500, all while maintaining the original batch setup.&nbsp;These conversion rules are based on Agilent’s over 10 years of experience in ICP-QQQ development and applications. By harnessing this expertise, the Batch Conversion Tool automatically implements optimal measurement conditions and reaction strategies for each analyte, ensuring strong interference control and consistent analytical performance post-migration.Manually recreating batch components like element selections, isotope settings, and QC configurations can be time-consuming. Alternatively, the Batch Conversion Tool automates this process, usually finishing within seconds.<h4>Conclusion&nbsp;</h4>The Batch Conversion Tool in Agilent OpenLab ICP-MS software allows for easy, automated transfer of existing SQ ICP-MS batches to the Agilent 9500 ICP-QQQ, without affecting current analytical workflows.&nbsp;By maintaining batch structure and analytical intent, users can switch to the 9500 ICP-QQQ without needing to rebuild methods or disrupt daily operations. The tool also offers structured conversion options to help users harness the advanced features of the 9500 platform.&nbsp;Additionally, migration from non-Agilent ICP-MS systems can be streamlined through element list import via the Method Advisor, providing an efficient way to create methods when transitioning to Agilent equipment. Overall, moving from SQ ICP-MS to the 9500 ICP-QQQ is a smooth, controlled process that ensures continuity and offers opportunities for method enhancement.<h3>2. Shimadzu: Static Puncture Strength of Geotextile Products Usinga 50mmProbe</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_07_2603_en_2470aa6ee5.pdf">Full PDF for download</a></li></ul>Geotextiles are permeable geosynthetic materials, typically made from polypropylene or polyester, available in woven and non-woven forms. They provide separation, filtration, drainage, and reinforcement, improving soil stability, load distribution, and the durability of infrastructure such as roads, railways, embankments, landfills, and retaining structures.&nbsp;During transportation, installation, and service geotextiles can be exposed to concentrated loads and sharp objects which can reduce the effectiveness of materials therefore puncture resistance is a critical parameter for evaluating geotextile durability. The puncture resistance of geotextiles are commonly determined as per ASTM D62411) and ISO 122362), which measures the force required to penetrate the fabrics using a standard plunger. Overall, puncture resistance testing plays a vital role in ensuring the long-term durability and reliability of geotextilesin demanding engineering applications.&nbsp;The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=AGS-X2">Shimadzu AGS-X2 series Universal Testing Machine </a>is a high-precision universal testing system designed for accurate evaluation of mechanical properties such as tensile, compression, and puncture resistance. It features advanced control technology, high data acquisition rates, and reliable load measurement, ensuring consistent and reproducible results. The system is operated using TRAPEZIUMX-V software, enabling efficient test control, data acquisition, and analysis that complies with national and international standards.<h4>2. Test Method&nbsp;</h4>The test was conducted on the non-woven geotextile using the AGS-50kNX2D UTM, shown in the Figure 1. Two different samples (1000 and 400 GSM) were procured from the market and five specimens were prepared from various areas of each sample. Table 1 shows testing apparatus and test conditions and Figure 2 shows the typical clamping and loading system.<h4>4. Conclusion</h4>The test results are consistent across multiple specimens and exhibit gradual deformation behavior. This indicates that the material can withstand high penetration forces without sudden failure, demonstrating its ability to effectively resist localized stresses.&nbsp;Geotextiles are available in different GSM values, representing mass per unit area and directly influence their mechanical and physical performance. Lower GSM geotextiles are lighter, flexible and lower thickness making them suitable for applications involving moderate loads. In contrast higher GSM geotextiles are thicker and denser, offering significantly higher puncture resistance and making them suitable for heavy duty applications.&nbsp;The Shimadzu’s universal testing machine AGS-X2 series demonstrated accurate, stable, and repeatable performance for conducting puncture resistance testing in accordance with ASTM D6241 and ISO 12236. The system provided precise control of crosshead speed, reliable load measurement, and clear identification of the initial peak load as required by the standard. The high-resolution load–displacement data acquisition enabled accurate determination of puncture strength and displacement at maximum force. Overall, the Shimadzu system ensures compliance with ASTM D6241 and ISO 12236 requirements and offers a dependable solution for quality control, research, and material comparison of geotextiles.¨<h3>3. Thermo Fisher Scientific: Small parts analysis with the Niton Apollo LIBS Analyzer</h3><ul><li>Other document (Smart note)</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/small_parts_analysis_with_the_niton_apollo_libs_analyzer_sn1608_en_c69d4c0695.pdf">Full PDF for download</a></li></ul>Small parts and precision components are critical to product quality and safety. Their limited surface areas and complex geometries make them some of the most challenging items to analyze accurately. Traditional optical emission spectroscopy (OES) delivers excellent accuracy but often lacks the portability needed for challenging environments.&nbsp;The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2000">Thermo Scientific™ Niton™ Apollo™ Handheld Laser-Induced Breakdown Spectroscopy (LIBS) Analyzer</a> changes the equation by delivering accurate analysis of steel and stainless steel in a portable format.<h4>A lower cost of ownership, with repeatability and reliability you can trust&nbsp;</h4>For industries where a single incorrect part can have significant consequences, consistency is crucial. The Apollo analyzer delivers the dependable features you need, in a unit designed to save users time and money over the long term:&nbsp;<ul><li>Carbon detection – Detects carbon for equivalent carbon content (C.E.) for welding &amp; L/H grade ID of stainless steel&nbsp;</li><li>Efficient argon use – Optimized purge minimizes gas consumption.&nbsp;</li><li>Reduced downtime – Portable OES-like accuracy eliminates long lab lead time.</li><li>Rugged durability – Field-ready build lowers repair and replacement costs.&nbsp;</li><li>Ease of training – Intuitive interface reduces errors and onboarding costs.</li><li>Designed to perform – Reliable data across a wide range of finishes and geometries&nbsp;</li></ul>By combining technical performance with durability and efficiency, the Apollo analyzer delivers the lowest total cost of ownership in its class.&nbsp;<h4>Conclusion&nbsp;</h4>The Niton Apollo LIBS analyzer sets the standard for small parts analysis. With its unique argon seal and updated small nose design, it delivers repeatable, OES-like accuracy unmatched by any other handheld LIBS device for the analysis of steel and stainless-steel including carbon. Add in a lower total cost of ownership, and the Apollo analyzer becomes the clear choice for manufacturers and inspectors who demand precision, reliability, and value.

News from LabRulezICPMS Library - Week 25, 2026

Article

Application

Academy

Scientific article

Science and research

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.

Eurachem

Everything from the world of analytical chemistry in one place. We connect people in solving their problems. At Labrulez you will find all the necessary information easily, quickly and clearly. Stop searching and start finding.

LabRulez

Separation Science

Agilent Technologies

Thermo Fisher Scientific

Extractables and leachables (E&amp;Ls) analysis is challenging and requires complete confidence in the results to ensure regulatory compliance. No single analytical tool can analyze all E&Ls; we offer diverse analytical technologies and expertise for the accurate identification and quantification of potential E&amp;Ls.
In this webinar our experts will discuss current regulatory updates, holistic and comprehensive analytical workflow strategies for quick scouting, profiling &amp; quantification of wide spectrum E&amp;L impurities and answer any questions you may have.
<h3>You would learn:</h3>
<ul>
<li>Regulatory updates on Extractables &amp; Leachables;</li>
<li>Overall comprehensive approach &amp; strategies to screen, detect, identify &amp; quantify Extractable &amp; Leachable compounds in various Pharma &amp; Biopharmaceutical drugs;</li>
<li>Analytical Technologies portfolio &amp; decision making software for complex studies of targeted &amp; non-targeted Extractables &amp; Leachables.</li>
</ul>
<h3>Who should attend:</h3>
<ul>
<li>Extractables &amp; Leachables analysts and laboratory managers; </li>
<li>Researchers interested in Extractables &amp; Leachables studies in Pharma/Biopharma/Medical Device/Polymer Manufacturing/CRO’s/CMO’s and others;</li>
<li>Analysts performing untargeted analyses including drug impurity profiling;</li>
<li>Quality Assurance experts in the above industries.</li>
</ul>
<blockquote>
Presenter: Antonio Chana (Product Specialist Liquid Phase Separation, Agilent Technologies)
</blockquote>
<blockquote>
Antonio Chana, Ph. D. in chemistry and Agilent product specialist in liquid phase separation for Spain and Portugal. He joined Agilent from the pharmaceutical industry where he has held positions of analytical development manager, QC manager and laboratory manager among others.
</blockquote>
<blockquote>
Presenter: Zainul Abid CKV (Product Specialist - Spectroscopy, Agilent Technologies)
</blockquote>
<blockquote>
Dr Zainul Abid is a product specialist with Agilent Technologies India Pvt Ltd based in Bangalore. He has several years of research and application development experience in Molecular spectroscopy domain. His expertise includes infrared spectroscopy and imaging, Raman spectroscopy and imaging, UV-Vis and NIR spectroscopy etc. He actively works with different industry experts to set up high-end spectroscopy laboratories.
</blockquote>
<blockquote>
Presenter: Soma Dasgupta (PhD Application Engineer, GC/GCMS, Agilent Technologies)
</blockquote>
<blockquote>
Soma received her PhD from the University of Pune, India and joined Agilent in 2016 and specializes in areas including multi-residue method development; pesticides and environmental applications and genotoxic impurities in pharmaceuticals. Prior to joining Agilent Technologies, she performed her doctorate research at the University of Pune in conjunction with the National Research Centre for Grapes where she concentrated on developing comprehensive methods for analysis of agro-chemicals in fruits and vegetables. She has worked with Thermo Fisher Scientific as Application Specialist for GC and GC-MS. Once joining Agilent, she is responsible for solutions meet our customers&#39; analytical needs. Her specialties include multi-residue method development; pesticides and environmental applications and genotoxic impurities in pharmaceuticals. She has more than 25 publications in peer-reviewed journals and application notes to her credit and a book chapter as well.
</blockquote>
<blockquote>
Presenter: Prasanth Joseph (Presales Application Engineer- LCMS, Agilent Technologies)
</blockquote>
<blockquote>
Prasanth Joseph is working as Application Engineer at Agilent Center of Excellence, Bangalore. He is having more than 16 years of experience in handling LC-MS/MS for various small molecule applications.His expertise includes MRM based screening and quantitation of various chemical residues in food commodities and pharma applications such as impurity profiling, genotoxic impurity quantitation and analysis of extractables and leachables in various packaging systems.
</blockquote>
<blockquote>
Presenter: Vinay Jain (COE Manager, Agilent Technologies)
</blockquote>
<blockquote>
Dr Vinay Jain, working as COE Manager and ICP-MS Application Scientist at Agilent Technologies India. He is Ph.D. on analytical chemistry. He has more than 30 years of analytical and research experience in spectroscopic techniques (LC-ICPMS, GC-ICPMS, ICP-MS QQQ, ICP-MS, ICP-OES, AAS, XRF, XRD) and expertise in various market segments such as Pharma, Food &amp; Farm products, Packaging, Chemical, Clinical, Environment, Petroleum, Ayurveda &amp; Herbal. His area of specialization includes new analytical method development and validation as per regulatory guidelines. He has completed more than 28 research projects with various research and regulatory organizations, of national and international importance. He is having two patents, six research paper publication; two chapters in various international handbooks and five Agilent application notes in his credit. Received TechInnovation Award in 2020 from Agilent Technologies India.
</blockquote>

Agilent Technologies: Mitigating the Risk of Extractables & Leachables Analysis - Regulatory Updates & Analytical Workflow Strategies

Mitigating the Risk of Extractables & Leachables Analysis - Regulatory Updates & Analytical Workflow Strategies

The rapid growth of the cannabis industry has provided a rare opportunity for scientists to be part of an emerging field. &nbsp;With that expansion, concerns related to the growth, extraction, and chemical analysis of cannabis have also increased. &nbsp;As new jurisdictions allow for cannabis, a disparate and constantly evolving compliance world has been created. &nbsp;Ideas for leveraging the research capabilities of academics to enhance problem solving and workflow optimization when working with the cannabis industry will be presented.Key Learning Objectives:<ul><li>Strategies for building a strong team in a cannabis facility</li><li>Approaches for addressing challenges of cannabis analysis</li><li>Understanding the intersection of product quality and safety</li></ul>Who Should Attend:<ul><li>Future or current cannabis lab managers</li><li>Future or current cannabis testing lab analysts and chemists</li><li>Entrepreneurs considering starting a cannabis testing lab</li></ul>For any questions please contact Jordan Ramesh: <a href="mailto:jramesh@mjhlifesciences.com">jramesh@mjhlifesciences.com</a><blockquote>Presenter: Steven Johnson, Ph.D. (Dean, College of Science and the Environment, Lake Superior State University)Dr. Steven Johnson earned his PhD in chemistry from Michigan Technological University focusing on heterologous expression of proteins. After completing a postdoctoral position working on the use of the botulinum toxin for the delivery of therapeutic cargo to neural cells, he accepted a faculty position at the University of New England. In 2013, Dr. Johnson returned to the Upper Peninsula of Michigan to join the faculty at Lake Superior State University. During his time at LSSU, he has served as co-chair for the School of Physical Science, chair for the School of Science and Medicine, and now, as Dean for the College of Science and the Environment. As Dean, LSSU introduced a bachelor’s degree in Cannabis Chemistry, which prepares graduates for the burgeoning cannabis sector in the State of Michigan and beyond.Presenter:&nbsp;Ryan Ratzloff (CEO/President, Lion Labs)Ryan Ratzloff has been a part of the cannabis industry in Michigan since its early, caregiver-based days. With over 10 years of experience in growing, processing, and marketing cannabis-based products, Ryan and the Lion Labs Ltd organization have established a standard of excellence across several categories with their award-winning and successful brands: Element, Dream, and RISE. Ryan also brings 10+ years of CPG experience from his early career at PepsiCo.Presenter: Anthony Macherone, Ph.D. (Strategic Technical Scientist, Agilent Technologies, Inc.)Dr. Macherone leads a team of scientists for the development and deployment of analytical testing methodologies for cannabis and hemp products. Anthony has written extensively on cannabis testing and contributed several chapters to books about cannabis. In June 2020, Anthony joined Cannabis Science and Technology®’s Editorial Advisory Board.&nbsp;Presenter:&nbsp;Derek Wright, Ph.D. (Associate Professor of Environmental Science, Lake Superior State University)Dr. Derek Wright is an Associate Professor of Environmental Science at Lake Superior State University. Dr. Wright earned his Ph.D. in Environmental Science from Rutgers University in 2008, with an emphasis of the biogeochemical cycles of trace elements in the marine systems. In his more than 20 years of experience with trace element analysis, he has extensive experience in ICP-MS (quadrupole and sector field), ICP-OES, MP-AES, and AAS. He has utilized these techniques for the accurate and precise measurement of challenging sample types such as seawater, hydrothermal vent fluids, atmospheric deposition, biological tissues, soils, foods, and sediments.During his time at LSSU, he has served as chair for the School of Physical Sciences, and taught coursework in Environmental Science, Environmental Chemistry, and Environmental Health. In addition to trace element analysis his research also utilizes microbial source tracking methods.Presenter:&nbsp; Alexander Adams (CEO, Cambium Analytica)Alexander Adams is the Co-Founder and CEO of Cambium Analytica, an analytical laboratory Traverse City, MI that is a full service provider of regulatory compliance testing, product research &amp; development, and quality assurance / quality control services to the cannabis industry. He received a degree in Plant Biology from Michigan State University and has spent the past decade working in many areas of Michigan’s specialty crop agriculture industry.Presenter:&nbsp;Dr. Markus Roggen (President/CSO, Delic Labs)Dr. Markus Roggen is President and Chief Scientific Officer of Delic Labs, a licensed cannabis and psilocybin research laboratory focused on extraction optimization, analytical testing, and process development. Delic Labs is one of a handful of research labs licensed for both cannabis and psilocybin in Canada. Delic Labs was initially founded as Complex Biotech Discovery Ventures by Dr. Roggen and Prof. Dr. Glenn Sammis in 2018, and rebranded after the sale to Delic Corp.Dr. Roggen received his M/Sci degree from Imperial College, London, UK in 2008. He then pursued his graduate degree in organic chemistry at the Federal Institute of Technology in Zürich (ETHZ), where he received his PhD in 2012. Dr. Roggen was awarded an DAAD postdoctoral fellowship to pursue further training in physical organic chemistry at The Scripps Research Institute in La Jolla in 2013-2014. He then entered the cannabis industry in 2014 and since has held executive positions in analytical and production companies. His research into process optimization and analytical methods has been recognized with a number of awards, ElSohley Award of the ACS, Cannabis Scientist Power List 2020 &amp; 2021, 40 under 40 by Marijuana Venture Magazine among others. Dr. Roggen is also a trusted advisor and mentor to multiple startups, startup accelerators and organizations.Presenter:&nbsp;R. Adam Mosey, Ph.D. (Associate Professor of Chemistry, Lake Superior State University)Adam Mosey earned his PhD in Chemistry from Michigan State University and completed a postdoctoral appointment at the University of Pittsburgh before joining Lake Superior State University as an assistant professor in 2012. His research background lies the areas of organic synthesis and drug development. He currently teaches courses in Organic Chemistry, Cannabis Chemistry, and Molecular Spectroscopy, and his current research interests involve reaction development, drug design, NMR method development, and methods of cannabinoid extraction and characterization.Presenter:&nbsp;Jonathan Kane, Ph.D. (Chief Scientific Officer, Lion Labs)Prior to entering the cannabis space, Dr. Kane has a demonstrated history of working in preclinical research with a focus on cancer and stem cell biology and success in biotech sales focusing on preclinical radiation-based research systems. Since leaving the preclinical research space in 2018, Jonathan have taken the role as Co-Founder and Chief Scientific Officer at Lion Labs, a medical and adult-use state licensed cannabis processor located in Michigan. Jonathan received his PhD in Biomedical and Biological Sciences in 2016 from Oakland University.</blockquote>

Agilent Technologies: Agilent Webinars On Demand

Grow Your Skills in the Budding Cannabis Industry 2-Day Symposium (Day 1)

Ideas for leveraging the research capabilities of academics to enhance problem solving and workflow optimization when working with the cannabis industry

Grow Your Skills in the Budding Cannabis Industry (Day 1)

<h5>By attending this webinar, you will learn about:</h5><ul><li>The most common causes of unplanned downtime and inconsistent results, and what you can do to reduce this unplanned downtime.</li><li>New sample introduction components for ICP-OES that improve analytical performance and reduce blockages when analyzing challenging sample matrices.</li><li>Essential operational tips and guidelines that can help you improve the performance of your ICP-OES when analyzing challenging sample matrices.</li></ul><h5>Event Overview</h5>Improving efficiency in routine analyses in your lab is crucial and should be a priority for any lab. Running challenging sample matrices using the ICP-OES technique poses many challenges for your analysts. They risk unplanned downtime from potential nebulizer or injector blockage, or other sample related issues. This sacrifices your sample throughput as your analysts need to first solve the issues – and then re-run samples where the results have been impacted by the loss of sensitivity from the partial or complete blockage. Challenging sample matrices can also increase your cost of ownership as components that wear need more frequent replacement.In this webinar, we'll provide an overview of some new sample introduction components that remove those pain points around running challenging sample matrices by ICP-OES efficiently. We’ll highlight the unique design features that enhance the total dissolved solid and particle handling capabilities, reducing the risk of nebulizer and injector blockage.We’ll demonstrate the capabilities of this robust sample introduction system with two challenging sample matrices, including used lubricating oils, where carbon build-up and larger wear metal particles can create a blockage risk. The second matrix is “black mass” – the material created when lithium-ion batteries are shredded and processed in battery recycling facilities. This complex mixture includes high concentrations of valuable minerals including lithium, which can cause rapid and premature degradation of the injector, combined with insoluble suspended carbon particles, which can also create a blockage risk.<h5>Who Should Attend:</h5>This webinar is recommended for any analyst or lab manager looking to improve efficiency and reduce downtime in their routine analysis workflows when running challenging sample matrices with their ICP-OES analyses, by utilizing a robust sample introduction system.<blockquote>Presenter: James Dellis (ICP-OES Supplies Product Manager, Agilent, Melbourne, Australia)James graduated from Swinburne University of Technology with a Bachelor of Science degree majoring in Chemistry and Biochemistry. Prior to joining Agilent, he worked within the Geochemical and Precious Metal industry. James joined Agilent in 2017 as an R&amp;D Applications Chemist for Supplies Product Development and is now the ICP-OES and Molecular Supplies Product Manager. He has over 13 years' experience in Analytical Chemistry and Atomic Spectroscopy. He is based at Agilent’s Spectroscopy Technology Innovation Centre in Melbourne, Australia.Presenter: Alejandro Amorin (Atomic Spectroscopy Applications Chemist, Agilent, Melbourne, Australia)Alejandro Amorin graduated from Universidad Central de Venezuela in Caracas, Venezuela with a Bachelor of Science degree with Honors, majoring in Chemistry. Prior to joining Agilent, Alejandro worked as a Research Chemist with DCG Partnership, developing new calibration standard blends for GC methods. Alejandro joined Agilent in 2012 as an Applications Chemist. He has worked on development of new spectroscopy consumables and provided applications support for Agilent spectroscopy instrument users around the world. Through his work experience, he has years of hands-on experience in diverse instrumental analysis techniques, including GC, IC, HPLC, AAS &amp; ICP combined with classical wet chemistry techniques. He is based at Agilent’s Spectroscopy Technology Innovation Centre in Melbourne, Australia.Presenter: Eric Vanclay (Marketing Director - Spectroscopy Supplies, Agilent, Melbourne, Australia)Eric Vanclay graduated from Monash University in Melbourne, Australia with a Bachelor of Science degree majoring in Chemistry in 1985, and 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' experience with all of the atomic spectroscopy techniques. He is based at Agilent’s Spectroscopy Technology Innovation Centre in Melbourne, Australia.</blockquote>

Separation Science: Improving Efficiency with Challenging ICP-OES Applications Utilizing a Robust Sample Introduction System

Improving Efficiency with Challenging ICP-OES Applications Utilizing a Robust Sample Introduction System

We'll provide an overview of some new sample introduction components that remove pain points around running challenging sample matrices by ICP-OES efficiently. 

Improving Efficiency with Challenging ICP-OES Applications 

Join our technical showcase for a demonstration of the Thermo Scientific™ iCAP™ PRO Series ICP-OES engineered for industry-leading robustness, efficiency, and maximum productivity.As sample demands increase, laboratories need instrumentation with robust performance and high sensitivity that is easy to use and low maintenance. In this session, our experts highlight how the iCAP PRO ICP-OES meets these needs through streamlined hardware and intelligent software.<h4>Key highlights include:</h4><ul><li>Maximum uptime: Robust design, fast analysis, and simplified maintenance for high-throughput labs.</li><li>Accelerated workflows: AI-driven SemiQuant feature enabling rapid sample insight without calibration.</li><li>Superior performance: Compact optical system and unique CID detector for high sensitivity and low detection limits.</li><li>Ease of use: Simplified sample introduction system and intuitive software with &nbsp; comprehensive QC, and 21 CFR Part 11 compliance features. Future-ready investment: Designed for long-term efficiency and scalability.</li></ul>This session features a technical deep dive with both hardware and software demonstrations, an overview of the upgrade program, and concludes with a live Q&amp;A where application experts will address your specific challenges.<blockquote>Presenter: Marshall Allin (Technical Sales Specialist, Trace Elemental Analysis, Thermo Fisher Scientific)Marshall Allin has over 14 years of experience in elemental analysis, specializing in ICP-MS and ICP-OES instruments. His extensive background includes roles as an Analytical Chemist, Field Service Engineer, and Application Scientist. Currently, he serves as the Technical Sales Specialist for the Trace Elemental product line at Thermo Fisher Scientific, giving him a comprehensive understanding of the technology from every angle.Presenter: Jeff Bown (Sr. Application Scientist, Thermo Fisher Scientific)Jeff Bown is a Senior Lab Scientist at Thermo Fisher Scientific with over 20 years of experience in elemental analysis. His expertise spans a wide range of applications, including environmental, clinical, and aerospace analysis. Throughout his career, Jeff has worked extensively with ICP-OES and ICP-MS instruments, developing a deep understanding of their capabilities and applications. His broad experience allows him to provide valuable insights and solutions across various industries.Presenter: John Schmelzel (Senior Applications Scientist, Thermo Fisher Scientific)John Schmelzel is a Senior Lab Application Specialist for the Trace Elemental Analysis product line at Thermo Fisher Scientific with over 35 years of experience. He earned his degree in Chemistry from the University of Colorado, Boulder. For more than three decades, John has provided extensive support for AA, ICP-OES, and ICP-MS technologies. He is currently focused on leveraging artificial intelligence (AI) to enhance spectral interpretation.Moderator: Sabrina Antonio (Regional Marketing Manager, Trace Elemental Analysis, Thermo Fisher Scientifc)Sabrina Antonio holds a BS in Chemical Engineering and leads the regional marketing strategy, leveraging over 25 years of diverse experience in chemical engineering and analytical instrumentation. Her professional background includes roles as an industrial chemist, US EPA Contract Laboratory Program Lead Auditor, Senior Chemical Engineer and Construction Project Manager at major power utilities, and Product Specialist for atomic spectroscopy instrumentation.</blockquote>

Thermo Fisher Scientific: Time to Go PRO: Discover the future of ICP-OES analysis

Time to Go PRO: Discover the future of ICP-OES analysis

Join this webinar of the Thermo Scientific iCAP PRO ICP-OES featuring AI-driven SemiQuant analysis, robust performance, and advanced automation workflows.