🎤 Presenter: Christopher Freye (Los Alamos National Laboratory)💾 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/O_1_Freye_10783a9cf3.pdf">PDF presentation</a><h3>Abstract</h3>Two-dimensional gas chromatography (<a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?instrumentationItems=2">GC×GC</a>) when coupled with mass spectrometry (MS) especially high-resolution mass spectrometry (HRMS) provides the ideal technique to discover minute chemical changes. However, GC×GC analyses result in extremely large datasets (GBs of information) wherein the statistically significant chemical changes are buried within the background chemical matrix. To combat these issues, many chemometric techniques have been developed or applied. Recently we introduced a new chemometric technique for GC-MS termed alteration analysis (ALA) and two-dimensional correlation (2DCOR) which can be used to discover statistically significant chemical changes across a series of chromatograms and understand the relationship between the statistically relevant changes. ALA generates three sets of information, the basic alteration map (BAM) which is the magnitude of the change, the synchronous alteration map (SAM) which describes the linear change, and the asynchronous alteration map (AAM) which describes the non-linear change. 2DCOR can then be used to understand the relationship between the chemical changes but 2DCOR can also resolve the sequence of the changes. A workflow for GC×GC-MS will be demonstrated. Special attention will be given to what differentiates the GC×GC work flow from GC for both the ALA and 2DCOR.<h3>Video Transcription</h3>The presentation focuses on how advanced mathematical and chemometric methods can be used to extract meaningful information from highly complex chromatographic data, especially in multidimensional chromatography coupled with mass spectrometry (GC×GC-MS, LC-MS).<h4>Why traditional data analysis falls short</h4>Modern multidimensional chromatography generates extremely large datasets, often containing billions of data points. Visual inspection, peak tables, or classical identification-based workflows are impractical—especially when:<ul><li>Samples are highly complex (e.g. petroleum, metabolomics, high explosives)</li><li>Most compounds are unknown unknowns</li><li>The key question is not what the compounds are, but whether samples differ and how</li></ul>Program managers and decision-makers are primarily interested in detecting statistically significant changes, not exhaustive compound identification.<h4>Introduction of Alteration Analysis (ALA)</h4>To address subtle, trend-based changes across series of chromatograms, the speaker introduces Alteration Analysis (ALA), a chemometric approach adapted from spectroscopy and applied to chromatography.ALA quantitatively evaluates how individual data points change across multiple samples, allowing detection of:<ul><li>Extremely subtle trends</li><li>Overlapping peaks</li><li>Changes hidden in noise or baseline interference</li></ul>Key ALA outputs include:<ul><li>BAM (Basic Alteration Map): magnitude of change</li><li>SAM (Systematic Alteration Map): linear changes</li><li>AM (Alteration Map): nonlinear changes</li></ul>Even changes as small as 1% per sample can be detected reliably, including peaks that are heavily overlapped.<h4>Beyond detection: understanding relationships with 2D Correlation</h4>Once statistically significant changes are identified, two-dimensional correlation analysis (2D-COR) is used to understand relationships between changing compounds, including:<ul><li>Whether compounds are correlated or anti-correlated</li><li>The sequence of changes over time (which changes happen first)</li></ul>This is especially critical for degradation and aging studies, where intermediate species may appear and disappear before the final state—information that traditional methods like Fisher ratio or PCA often miss.<h4>Solving GC×GC challenges with tiling</h4>GC×GC data introduces additional challenges due to:<ul><li>Peak misalignment</li><li>Exponential data growth during correlation calculations</li></ul>The presenter explains how tile-based approaches reduce data dimensionality, overcome alignment issues, and make ALA and 2D correlation computationally feasible—even for massive GC×GC-MS datasets.<h4>Real-world application: explosive aging studies</h4>The methodology was applied to aging and decomposition of high explosives, where:<ul><li>Over 250 chemical changes were identified</li><li>Many intermediate species would have been missed using traditional comparisons</li><li>ALA combined with 2D correlation enabled reconstruction of degradation pathways</li><li>The most significant change was not necessarily the first change, a critical insight for risk assessment and stability studies</li></ul><h4>Key takeaway</h4>By combining Alteration Analysis and 2D correlation, the approach:<ul><li>Detects statistically guaranteed chemical changes</li><li>Handles subtle, overlapped, and noisy signals</li><li>Determines magnitude, type, interrelationships, and order of changes</li><li>Shifts chromatographic data analysis from identification-driven to decision-driven</li></ul>This math-driven workflow enables faster, more reliable interpretation of complex chromatographic datasets and provides actionable insights for applications such as explosive aging, pharmaceutical degradation, and complex mixture analysis.<blockquote>This text has been automatically transcribed from a video presentation using AI technology. It may contain inaccuracies and is not guaranteed to be 100% correct.</blockquote>

Discovery analysis for GCxGC trends using alteration and 2D correlation (Chris Freye, MDCW 2026)

Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 9th February 2026? Check out new documents from the field of the gas phase, especially GC and GC/MS techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND 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://icpms.labrulez.com/library">LabRulezICPMS</a> libraries.</blockquote>This week we bring you technical note by Agilent Technologies, presentation by MDCW / University of Copenhagen and application notes by Shimadzu and Thermo Fisher Scientific!<h3>1. Agilent Technologies: What Causes Spots on <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?instrumentationItems=19&amp;manufacturerItems=1&amp;search=PLOT">PLOT Columns</a>? Will It Affect the Performance of the Column?</h3><ul><li>Technical note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/te_what_causes_spots_plot_columns_affecting_performance_5994_8775en_agilent_3b7180512a.pdf">Full PDF for download</a></li></ul>Spots on porous layer open tubular (PLOT) columns are caused by small voids in the stationary phase coating inside the tube. These spots are areas where there is an uneven coating or lack of phase. It is normal to find some voids in the phase coating of PLOT columns. The stationary phase in PLOT columns is an opaque, solid, and porous material. In many Agilent PLOT columns such as the GS-Alumina phases, molecular sieves, porous polymers (Q and U), and the GS-OxyPLOT, the stationary phase is visible as a white powder. For many PLOT columns, the stationary phase fill solution is a viscous suspension of particles that are less than 10 microns in diameter. The phase is coated using a dynamic process in which a plug of fill solution is pushed through the tubing, and the plug’s speed and viscosity determines the thickness of the stationary phase layer. Once the PLOT’s stationary phase is deposited, it is held in place by electrostatic charge, chemical interactions between particles, and/or binding agents. In wall‑coated open tubular (WCOT) columns, stationary phases such as polysiloxanes or polyethylene glycols are immobilized by chemical bonding to the glass surface and cross-linking between polymer strands. Because this type of bonding and cross‑linking is not possible with PLOT phases, the result is a stationary phase layer that is both fundamentally different and inherently less stable in PLOT columns than in WCOT&nbsp;columns.<h3>2. MDCW / University of Copenhagen: One-shot tensor decomposition of full-scale GC×GC-VUV datasets for resolving petrochemical groups</h3><ul><li>Presentation</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/O_17_Schneide_67c8ff7866.pdf">Full PDF for download</a></li></ul>The presentation introduces a novel all-samples-at-once, shift-invariant tri-linear tensor decomposition approach for the analysis of full-scale <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?search=GC%C3%97GC-VUV">GC×GC-VUV</a> datasets, aimed at resolving and quantifying petrochemical groups. Traditional template-based or pixel-based methods struggle with retention-time shifts and co-eluting compounds, often requiring manual intervention and prior chemical knowledge. The proposed approach leverages the intrinsic low-rank structure of GC×GC-VUV data to enable robust, automated group-level analysis across multiple samples simultaneously.At the core of the method is a shift-invariant tri-linear model, conceptually related to PARAFAC and multivariate curve resolution, but extended using frequency-domain (FFT-based) modeling to explicitly account for chromatographic peak shifts. By decomposing the entire dataset in one step, the model provides accurate estimates of peak landscapes, VUV spectra, and relative peak areas, while remaining agnostic to retention-time variability. Importantly, the approach requires only a small number of tunable parameters, making it practical for routine use.The method was demonstrated on a case study involving 14 petrochemical gas-oil samples, including straight-run, hydrotreated, hydroconverted, coker, and light cycle oils. Extracted VUV spectra showed excellent agreement with reference spectra from a VUV spectral database, enabling confident assignment of components to chemical groups such as saturates, olefins, and mono- to poly-aromatics. Quantitative results exhibited high repeatability (RSD typically 3–9%) and strong correlation with established template-based reference methods.Overall, the work demonstrates that one-shot, shift-invariant tensor decomposition provides a powerful and scalable alternative to conventional GC×GC data-analysis strategies. By combining chemical interpretability, robustness to chromatographic shifts, and strong quantitative performance, the approach opens new opportunities for automated, high-confidence group-level analysis of complex petrochemical samples and beyond.<h3>3. Shimadzu: Py-Screener Ver. 3: Simultaneously Test for Substances Regulated Under RoHS, TSCA, and POPs</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00949_en_4754e50164.pdf">Full PDF for download</a></li></ul><h5>User Benefits</h5><ul><li>In just one analysis, <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=3&amp;search=Py-Screener">Py-Screener</a> Ver. 3 can determine levels of phthalate esters, brominated flame retardants (PBBs, PBDEs), PIP (3:1), UV-328, dechlorane plus (DP), short-chain chlorinated paraffins (SCCPs), and medium-chain chlorinated paraffins (MCCPs).&nbsp;</li><li>It can also test for SCCPs and MCCPs by electron ionization (EI) instead of negative chemical ionization (NCI).&nbsp;</li><li>PIP (3:1), UV-328, DP, and SCCPs and MCCPs can be screened without the need for corresponding reference materials.</li></ul>Countries and regulatory bodies worldwide are introducing increasingly stringent regulations on the chemical substances used in electronic devices and industrial products. The RoHS Directive and REACH regulations in the EU, the Toxic Substances Control Act (TSCA) in the USA, and the Stockholm Convention on Persistent Organic Pollutants (POPs) are also targeting an increasingly broad range of substances. Therefore, manufacturers are required to accurately identify regulated substances in their products and comply with each regulation. While Py-Screener Ver. 2 can screen for seven phthalate esters and brominated flame retardants, including substances regulated under the RoHS Directive, version 3 can also screen for PIP (3:1), which is regulated under the TSCA, as well as UV328, DP, and SCCPs and MCCPs , which are regulated under the Stockholm Convention on POPs. A list of supported substances isshown in Table 1. This article introduces the simultaneous analysis of multiple regulated substances and a case study of testing specific regulated substances in samples, using Py-Screener Ver. 3.<h4>Analysis Process</h4>Py-Screener Ver. 3 can determine levels of phthalate esters and brominated flame retardants contained in products in accordance with the international analytical standards IEC62321-8 and IEC62321-3-3. It can also test for specific regulated substances (Table 1) under the same conditions and in the same analysis. In this test, background intensity and instrument sensitivity (S/N) were verified before analyzing samples. These parameters are prescribed by IEC62321-8 to ensure the accuracy of the methods used. Background intensity and instrument sensitivity were determined using a reference material (PN: 225-31003- 91) *1 that consisted of a plastic sheet that was spiked with seven phthalate esters. The results met the criteria for both parameters.The testing workflow is shown in Fig. 1. Before testing samples, calibration curves were prepared by analyzing the 1000 mg/kg phthalate ester reference material and polypropylene spiked with brominated flame retardants (ERM-EC591). A hole puncher was used to punch out two discs at a time of the phthalate ester reference material, and a cutter was used to obtain pieces of the other materials. Each material was weighed in a sample cup for analysis. During the analysis of samples, phthalate esters and some of the regulated brominated flame retardants were quantitated using a one-point calibration curve. The remaining brominated flame retardants and specific regulated substances were quantitated using the correction factor database*2 that is included with Py-Screener Ver. 3.<h4>Conclusion</h4>Py-Screener Ver. 3 successfully determined in samples the concentrations of the regulated substances PIP (3:1), UV-328, DP, and SCCPs and MCCPs. Normally, SCCP and MCCP levels are tested using NCI, but Py-Screener Ver. 3 uses EI. This enables it to test for not only SCCPs and MCCPs but also phthalate esters, brominated flame retardants, and other regulated substances in just one analysis. In addition, by using the relative correction factors linked to DEHP in the phthalate ester reference material, the levels of these regulated substances were determined without the need for the corresponding reference materials. Py-Screener Ver. 3 can also create a screening program that addresses substance restrictions under the RoHS Directive, the US TSCA, and the POPs Convention.<h3>4. Thermo Fisher Scientific: Improving low carbon steel production in specialty steel processes</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/prima_pro_process_mass_spectrometer_an1626_7fc840235f.pdf">Full PDF for download</a></li></ul>World crude steel production reached 1,691 million tonnes in 2017, up by 5.3% compared to 2016.1 While much of this capacity is still produced in primary steel processes such as basic oxygen furnaces and electric arc furnaces, the need for refined steel with greater durability and resistance to heat and corrosion has led to the increased use of vacuum degassing processes, such as VOD and RH, in secondary steel production. These processes are able to achieve ultra-low levels of residual carbon, while at the same time retaining desired levels of other alloy materials. If these processes are to achieve the required level of steel product quality, they need fast, continuous gas analysis of the furnace exhaust gas. Without accurate information on the composition of the gas leaving the furnace, any variations in the decarburization process are only detected after the event, resulting in the production of out-of-specification steel.<h4>Advantages of mass spectrometry&nbsp;</h4>Traditional Non-Dispersive Infra-Red (NDIR) analyzers are used in many conventional steelmaking processes to measure CO and CO2 , but they can only sample at atmospheric pressure. In vacuum steelmaking the process pressure changes dramatically, typically from atmospheric pressure down to less than 1 mbar, over the 20-30 minutes of the melt. So NDIR analyzers have to sample some distance downstream from the process. Analytical data is updated several minutes after the gas leaves the melt and the control system is forced to operate on historic rather than real-time data.&nbsp;Paramagnetic analyzers can be used to measure O2 , while thermal conductivity analyzers can be used to measure H2 . These analyzers also suffer from slow response, while the need to operate three different types of analyzers adds to the plant maintenance burden. Moreover, the three analyzers cannot analyze inert gases, so N2 is calculated by difference, a result that suffers from the sum of the errors of the three analytical techniques.&nbsp;Mass spectrometry operates at high vacuum so it is ideal for monitoring vacuum processes. It is also able to monitor all seven components in Table 1 in seconds rather than minutes, ensuring the plant control model is frequently updated with accurate compositional data.<h4>Precision of analysis&nbsp;</h4>At the heart of the <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?manufacturerItems=2&amp;search=Prima+PRO+Mass+Spectrometer">Thermo Scientific™ Prima PRO Mass Spectrometer</a> (MS) is a magnetic sector analyzer which offers unrivalled precision and accuracy compared with other mass spectrometers. Thermo Fisher Scientific manufactures both quadrupole and magnetic sector mass spectrometers; over thirty years of industrial experience have shown the magnetic sector based analyzer offers the best performance for industrial on-line gas analysis.&nbsp;Key advantages of magnetic sector analyzers include improved precision, accuracy, long intervals between calibrations, and resistance to contamination. Typically, analytical precision is between 2 and 10 times better than a quadrupole analyzer, depending on the gases analyzed and complexity of the mixture.&nbsp;A unique feature of the Prima PRO magnet is that it is laminated. Its analysis times are similar to a quadrupole analyzer, offering the unique combination of rapid analysis and high stability. This allows the rapid and extremely stable analysis of an unlimited number of user-defined gases. The scanning magnetic sector is controlled with 24-bit precision using a magnetic flux measuring device for extremely stable mass alignment.&nbsp;The ion source is an enclosed type for high sensitivity, minimum background interference, and maximum contamination resistance. This is a high-energy (1000 eV) analyzer that offers extremely rugged performance in the presence of gases and vapors that have the potential for contaminating the analyzer. Typical performance specifications for the Prima PRO MS are shown in Table 1. Analytical performance is demonstrated by analyzing the calibration bottle over 1 hour following calibration, with an analysis time of just 6 seconds. Standard deviations measured on the calibration cylinder will be equal to or better than the stated values.

News from LabRulezGCMS Library - Week 07, 2026

Although modern agriculture needs to be based on accurate real-time data on soil, plant, and environmental conditions, affordable, sufficiently sensitive, and robust monitoring devices for this purpose are currently missing. According to scientists, low-cost sensors based on new smart materials and printing technologies offer a suitable solution. The results of multidisciplinary research thus far and proposals for the development of these devices have been presented by researchers from Czechia, Great Britain, Spain, and the USA in a review article in the prestigious journal <a target="_blank" rel="noopener noreferrer" href="https://www.nature.com/articles/s41467-026-68778-6#Abs1">Nature Communications</a>.“Sensor technologies for monitoring plant health are still in their infancy. Only simple sensors capable of monitoring basic parameters such as pH, soil moisture, or temperature are commonly available on the market. However, if farmers are to face current challenges, including climate change, and ensure sufficient food for humanity, they need much more effective tools that will enable them to monitor, for example, various pathogens, including bacteria and fungi. In our opinion, a suitable solution is a combination of new smart materials and printing for the production of inexpensive, durable, and scalable materials,” said the article’s first author, David Panáček from CATRIN, who worked on the study during his internship at Imperial College London.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Soucasne_senzory_nestaci_Vedci_navrhuji_novou_cestu_ke_sledovani_zdravi_rostlin_b4014952a3.jpg" alt="CATRIN: David Panáček" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Soucasne_senzory_nestaci_Vedci_navrhuji_novou_cestu_ke_sledovani_zdravi_rostlin_b4014952a3.jpg 208w," sizes="100vw" width="1536" height="1152">Sensors for monitoring plant health, for example, lag behind similar devices used in human medicine. According to the authors, advances in materials science, which will enable the development of scalable sensor technologies, play a key role in this potential shift. “Printing techniques, including inkjet printing, screen printing, aerosol printing, 3D printing, and direct laser writing, offer flexible ways to produce flexible sensors, large-area sensors, and sensors integrated directly into plants. The review article summarizes recent advances in printable low-dimensional materials for agricultural sensors, analyzes their physico-chemical properties in relation to sensor performance, and discusses key challenges and future opportunities requiring interdisciplinary integration,” said one of the corresponding authors, Michal Otyepka.The research brought together materials scientists, chemists, biologists, sensing experts, and printing technology specialists. Materials research and the use of graphene-based smart materials were led by scientists from CATRIN at Palacký University and VŠB-Technical University of Ostrava. Plant biologists from CATRIN contributed their knowledge of plant development, their responses to stress conditions, and the monitoring of their properties. Researchers from Imperial College London took care of the electronics, while representatives from<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/companies/36"> CEITEC – VUT</a> focused on printing technologies. The team also included leading experts in sensing from the Catalan Institute of Nanoscience and Nanotechnology in Barcelona, and Joseph Wang of the University of California San Diego, the “father of sensing and electrochemistry,” also contributed his extensive knowledge.“This is a groundbreaking study on this topic, which has managed to attract some truly big names in their respective fields. Last but not least, the study demonstrates that interdisciplinarity at CATRIN gives rise to completely new and promising research topics, such as plant sensing and its use for studying plant-environment interactions and smart agriculture,” added another corresponding author, Nuria De Diego.

Current sensors are not good enough. Scientists propose a new way to monitor plant health

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Science and research

The Multidimensional Chromatography (MDC) Workshop draws experts in this exciting field to share and discuss their research.

The Multidimensional Chromatography Workshop

The Czech Advanced Technology and Research Institute (CATRIN) at Palacký University is a cutting-edge scientific hub dedicated to advancing research in the fields of nanotechnology, biotechnology, and biomedicine. At its core, CATRIN boasts outstanding scientific teams, featuring international researchers. We emphasize interdisciplinarity, foster global collaborations, and work to translate our research findings into practical applications.

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<h5>Session 1: Recent Advances in Sample Prep for POPs</h5>
Sample prep for POPs analysis has to be one of the biggest bottlenecks in the analytical workflow. With such diverse matrices and compounds of potential interference, the sample preparation process can be very manual and therefore prone to introducing errors.
What if there was a way to automate this process, to extract your analyte of interest, whether a pesticide, dioxin or organic pollutant in a way that is robust, reproducible and enables your lab to become more efficient by handling multiple samples and extractions at the same time.
This webinar will show you how.
<h5>Session2: Persistent organic pollutants</h5>
are found everywhere around the globe. Since they are ubiquitous, they are a major issue in food analysis. GC-MS/MS can improve your sensitivity and the security of your results. Learn about the future in GC-MS/MS.
<h3>Who should attend:</h3>
<ul>
<li>Lab managers and analysts that have analytical challenges when testing food and beverages</li>
<li>QA/QC and research laboratories that want to keep up to date and also be ready for future challenges</li>
<li>Lab leaders who want to leverage the full analytical potential of their analytical instrumentation</li>
</ul>
<blockquote>
Presenter: Kjell Hope (Technical research chemist, Pacific Rim Laboratories)
</blockquote>
<blockquote>
Kjell Hope is a technical research chemist at Pacific Rim Laboratories. He graduated with a Master of Science degree in Chemistry from Örebro University, Sweden and has been working in chemical analysis for 14 years. He has contributed to many projects in private industry and academia, including looking at PCBs in various foodstuffs and analyzing water for PFAS levels off the east coast of Africa. He contributed to characterizing the status of POPs, including OCPs, PCBs, and PAHs in the Campania region of Italy in collaboration with Istituto Zooprofilattico Sperimentale del Mezzogiorno, Italy. Through his work experience, he has gained vast knowledge of wet chemistry, primarily separation methods and instrumentation. He looks to incorporate new and emerging technologies into analytical processes at Pacific Rim Laboratories.
</blockquote>
<blockquote>
**Presenter:**Chris Shevlin (Scientific and Educational Affairs Manager, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Chris Shevlin is the Scientific and Educational Affairs Manager for Ion Chromatography and Automated Sample Preparation systems at Thermo Fisher Scientific. After graduating from the University of Buffalo, he started working in a pharmaceutical laboratory running HPLC, LC-MS and other chromatographic methods in a technical services and QC laboratory. After earning an MBA in 2004, Chris has worked in sales, product management and marketing with a few of the major analytical instrument manufacturers since then.
</blockquote>
<blockquote>
In 2015, Chris joined Thermo Scientific working with their chromatography and mass spectrometry systems and in 2019 moved into a product marketing role for Ion Chromatography and Automated Sample Preparation business unit. In his current role, he is partnering with scientists on new applications through collaborations, developing scientific and educational content, and working with new products and innovations.
</blockquote>
<blockquote>
Chris’s entire professional career has been focused on chromatography and sample preparation. First as a chemist in the lab, then to sales and product and marketing management. This experience has helped Chris to have an in depth understanding of the challenges faced by analytical laboratories and how to improve their workflows and processes.
</blockquote>
<blockquote>
Presenter: Petra Gerhards (Regional Marketing Manager EMEA GC, GC-MS, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Her background is over 30 years of experience in the field of GCMS, SPE and LCMS. Joined the EMEA Regional Marketing Team in 2016. She has been involved in a lot of workflow solutions combining Vials and Closures with SPE solutions, GCMS and LCMS. She works with KOL`s on data for regional specific marketing campaigns, organizes inhouse seminars and works on customer specific solutions. Her main expertise is in the field of Doping and Drugs of Abuse analysis.
</blockquote>

Thermo Fisher Scientific: Emerging Topics in Food Safety

Contaminants in food - Sample preparation and POPs

Webinar will cover topics like Sample preparation in food analysis or Persistent organic pollutants analysis by GC-MS/MS.

Emerging Topics in Food Safety is a new quarterly event series for 2022, designed to showcase food safety issues that are important in the European, Middle East and Africa regions. Each session will highlight different food safety topics covering those that are more familiar or emerging or hot topics.
<h5>Session 1: Microplastics analysis in food by µFTIR and chemical images</h5>
The vast array of different plastic types available on today’s consumer market makes the qualitative or quantitative analysis of microplastics extremely challenging and there are no officially recognized methods available by now. During our speech, we will present the high adaptability of our developed and validated method for the microplastics detection and identification in different food matrices.
<blockquote>
Presenter: Federico Benetti (Ecsin LAB Director - part of Mérieux NutriSciences Group)
</blockquote>
<blockquote>
Federico Benetti has a degree in Biology and a PhD in molecular physiology and structural biology, both obtained at the University of Padua. He later joined the Laboratory of prion biology at SISSA (International School for Advanced Studies, Trieste).
</blockquote>
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Since 2011, he focused his research on the sustainable development of nanotechnologies at ECSIN (European Centre for the Sustainable Impact of Nanotechnology), where he currently hold the position of Laboratory Executive Director.
</blockquote>
<h5>Session 2: Food packaging and microplastics analyses via automated FTIR Microscopy</h5>
We will present the workflow, spectra, and analyses for a food packaging multi-layer film and for microplastics. Using modern hardware and software tools, these can now be done quickly and simply by any level of user, giving far greater analytical utility to busy laboratories.
<blockquote>
Presenter: Dr. Michael Bradley (Senior Product Manager, FTIR and FTIR microscopy, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Dr. Michael Bradley taught graduate and undergraduate chemistry for 15 years, prior to becoming a field applications scientist with Thermo Fisher Scientific. He worked with teams to develop and launch the Thermo Scientific™ Nicolet™ iN10 FTIR Microscope and NicoletV iS10 FTIR spectrometers. He then led the development of the Thermo Scientific™ Nicolet™ iS50 FT-IR spectrometer and, most recently, the Thermo Scientific™ Nicolet™ RaptIR™ FTIR microscope. He is now Senior Product Manager, FTIR and FTIR microscopy with additional roles in FT-IR and Raman training and ongoing product development, helping customers utilize the spectroscopy tools and ensuring customer feedback reaches into next-generation tools. He also sits on the Editorial Advisory Board for Spectroscopy Magazine.
</blockquote>
<h5>Session 3: Pyrolysis/GC/MS for microplastic identification - benefits of high resolution Orbitrap mass spectrometry</h5>
Today, microplastics are present in the terrestrial and aquatic environment. They may consist of not only the pure synthetic polymer but also include residuals of the monomer, plasticizers, flame retardants, and many other toxic additives that can have a negative impact on human health. Pyrolysis gas chromatography-mass spectrometry (py-GC-MS) presents a promising alternative for identification and quantification of microplastics where throughput is critical. Application of Orbitrap mass spectrometry improves considerably the selectivity of the analysis and brings new opportunities of the pyrolysis products identification. Furthermore, this analytical approach enables time-saving detection of bulk amounts of micro- and nanoplastics below the lower size limit of the microscopy techniques.
<blockquote>
Presenter: Lukasz Rajski (Product Specialist, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Łukasz Rajski works as product application specialist at Thermo Fisher Scientific. He holds a Ph.D. in analytical chemistry. Łukasz has over 10 years of experience in pesticide residue analysis. He is an expert in the development and validation of analytical methods. Dr. Rajski works with advanced mass spectrometry techniques (both high-resolution and triple quadrupole) coupled to ultra-high performance liquid chromatography, high-performance ion chromatography, and gas chromatography. Łukasz Rajski is a co-author of numerous articles published in scientific journals.
</blockquote>
<h3>Who should attend:</h3>
<ul>
<li>Lab managers and analysts that have analytical challenges when testing food and beverages</li>
<li>QA/QC and research laboratories that want to keep up to date and also be ready for future challenges</li>
<li>Lab leaders who want to leverage the full analytical potential of their analytical instrumentation</li>
</ul>

Contaminants in food - Microplastics

Microplastics in food by µFTIR and chemical images, Food packaging and microplastics, Pyrolysis/GC/MS for microplastic identification - HR Orbitrap MS.

Contaminants in the sample matrix can create chromatography issues, system down time, and unreliable test results. There are many options for sample cleanup. The ultimate technique that provides the cleanest sample is Solid Phase Extraction (SPE). In addition to providing a clean sample, SPE can increase the concentration of analytes if needed.
In this talk, we will discuss tips for selecting, developing, and implementing simple and successful solid phase extraction methods.
<blockquote>
Presenter: Golnar Javadi (Application Engineer, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Golnar Javadi is an applications engineer providing online applications assistance and technical support for LC columns and supplies, Sample Preparation products, and Spectroscopy supplies.
</blockquote>
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Before joining Varian and then Agilent, Golnar worked in the pharmaceutical and nutraceutical industries on method development and quality control. She also taught college level chemistry courses for a few years.
</blockquote>
<blockquote>
Golnar then joined Varian as a technical support specialist, providing customers with method development assistance and technical support on Sample Preparation (SPE, SLE, and Filtration), HPLC, GC, ToxiLab and DAT. After the Varian-Agilent merger, Golnar joined Agilent Technologies as an Applications Engineer. She provides technical support to customers on Sample Preparation products, Liquid Chromatography columns, and Spectroscopy supplies.
</blockquote>

Agilent Technologies: Tips for Developing Successful Solid Phase Extraction Methods

Tips for Developing Successful Solid Phase Extraction Methods

In this talk, we will discuss tips for selecting, developing, and implementing simple and successful solid phase extraction methods.

Tips for Developing Solid Phase Extraction Methods

The lab is running smoothly, but you are getting pressured to increase efficiency. You have hesitated to upgrade the lab data system; you fear it will be expensive and time consuming, and you know it will require additional funding. Getting management approval to make the change will require answers to questions that you can’t easily get. Or can you?
This webinar can prepare you for this important conversation with your manager. We interviewed two senior Agilent support and service personnel to answer questions that are frequently asked by lab managers and informatics specialists – following their recommendations will help you reduce the cost to change and focus on increasing your efficiency and security.
<h5>Key Learning Objectives:</h5>
<ul>
<li>See how updating software will improve the lab throughput</li>
<li>Learn the importance of replacing workstations with distributed systems</li>
<li>Understand the steps to reduce the overall project time·</li>
</ul>
<h5>Who Should Attend:</h5>
<ul>
<li>Lab managers and those planning migrations</li>
<li>Laboratory IT</li>
<li>Informatics specialists</li>
<li>All industries</li>
</ul>
<blockquote>
Presenter: Christopher Prater (Product Support Specialist &amp; Informatics Support Specialist, Agilent Technologies)
</blockquote>
<blockquote>
Presenter: Ryan O’Boyle (Laboratory Informatics Product Support Engineer, Agilent Technologies)
</blockquote>
<blockquote>
Presenter: Kelly McSweeney (Contributing Editor, C&amp;EN Media Group)
</blockquote>

C&EN: Three Winning Arguments to Get Management Approval for a CDS Upgrade

Three Winning Arguments to Get Management Approval for a CDS Upgrade

We interviewed two senior Agilent support and service personnel to answer questions that are frequently asked by lab managers and informatics specialists.

Three Winning Arguments to Get Approval for a CDS Upgrade

Given the differences in physicochemical properties and concentrations of metabolites in biological systems, getting a broad metabolite coverage in untargeted metabolomics is always challenging in terms of the instrumental techniques that are necessary.
<h5>Two approaches are currently in use:</h5>
<ol>
<li>Using LC/Q-TOF MS for lipidomics; GC/MS for small metabolites that can be made volatile by derivatization and CE/MS for polar and ionic compounds.</li>
<li>LC/Q-TOF MS for lipidomics and LC/QQQ MS for polar and semipolar compounds.</li>
</ol>
Even a third approach with LC/Q-TOF MS using either C18 column for lipids or HILIC for more polar compounds could be used.
Advantages and limitations of these analytical platforms will be discussed with some examples from our laboratory.
<blockquote>
Presenter: Coral Barbas (Full Professor of Analytical Chemistry at Pharmacy Faculty and Director for the CEMBIO, Universidad San Pablo CEU)
</blockquote>
<blockquote>
She is currently Full Professor of Analytical Chemistry at Pharmacy Faculty, Universidad San Pablo CEU, Madrid (Spain) and Director for the “Centre for Metabolomics and Bioanalysis” (CEMBIO). She is also Director for CEU International School of Doctorate (CEINDO); Visiting Professor at Imperial College London.
</blockquote>
<blockquote>
She is the author of more than 300 papers, with current research interests in all the steps of multiplatform metabolomics (GC-MS, LC-MS and CE-MS) in all kind of biological samples.
</blockquote>
<blockquote>
Her awards include: Tswett - Nernst European Award of the European Society for Separation Sciences (EuSSS) (2022); the award of the Belgian Society of Pharmaceutical Sciences (BSPS 2018); Angel Herrera Research and Teaching Award and the medal of Bialystok Medical University. She has received a Honoris causa doctorate in Bialystok Medical University.
</blockquote>
<blockquote>
She is in the “world’s top 2% scientists list” of Stanford University. Member of different boards of international Committees and Editor for Journal of Pharmaceutical and Biomedical Analysis till 2021.
</blockquote>

Agilent Technologies: Multiplatform Untargeted Metabolomics (LC/MS, GC/MS, CE/MS) vs Semitargeted LC/MS for Lipids and Polar Compounds

Multiplatform Untargeted Metabolomics (LC/MS, GC/MS, CE/MS) vs Semitargeted LC/MS for Lipids and Polar Compounds

Advantages and limitations of these analytical platforms will be discussed with some examples from our laboratory.

Multiplatform Untargeted Metabolomics (LC/MS, GC/MS, CE/MS)

In this webinar we will discuss possibilities to save on helium costs or to possible completely move away from helium as a carrier gas. The advantages and disadvantages of switching to a different carrier gas are discussed, as well as what the implications are. A recent addition to the Agilent portfolio offers opportunities to equip GC-MS systems in such a way that working with hydrogen as a carrier gas leads to better results than was ever possible before.
<h5>The key learning objectives are:</h5>
<ul>
<li>What are the options to save on Helium carrier gas costs</li>
<li>Learning the implications of moving away from Helium as a carrier gas</li>
<li>Implementing alternatives for Helium carrier gas</li>
</ul>
<h5>Who should attend:</h5>
Everyone using Helium as a carrier gas for GC application and who want to save on Helium costs or forced to move away from Helium for a different reason.
<blockquote>
Presenter: Jan-Willem Marinissen (Consumables Support, Agilent)
</blockquote>
<blockquote>
Jan Willem Marinissen is a technical support engineer within the organization for the consumable sand supplies division in the EMEA region.
</blockquote>
<blockquote>
His working experience in the last decades has been in the field of chromatography including HPLC, sample prep and GC techniques.
</blockquote>

Agilent Technologies: Considerations when changing over from Helium to alternative carrier gases in GC

Considerations when changing over from Helium to alternative carrier gases in GC

The advantages and disadvantages of switching to a different carrier gas are discussed, as well as what the implications are.

From Helium to alternative carrier gases in GC

Electrolyte plays a key role in transporting the positive lithium ions between the cathode and anode, and consequently the charging and discharging performance of the battery. Therefore, electrolyte composition needs to be checked for potential impurities to ensure high quality and performance of a battery. At the same time the electrolyte is also a sample type that allows the investigation of ageing processes, as degradation products from all components of the battery can accumulate within it over time. Depending on analytical challenge different analytical techniques can be applied to investigate the chemical compounds in the electrolyte, as for instance salts, ionic species, organic solvents, metals, and others.
Different analytical techniques can be applied for electrolyte analysis and testing. For instance, anions of lithium salts can be determined by ion chromatography (IC) to ensure that the solutions have been prepared at the proper concentrations. Gas chromatography (GC) or gas chromatography–mass spectrometry (GC-MS) can be used to provide the qualitative and quantitative composition of organic solvents in the electrolyte and aging byproducts. The inductively coupled plasma optical emission spectrometry (ICP-OES) or mass spectrometry (ICP-MS) provides robust and sensitive measurement of trace element impurities.
This webinar we are going to present how some of those techniques can be used for lithium-ion battery electrolyte analysis and quality testing.
<h5>Learning points:</h5>
<ul>
<li>Learn about analytical solutions for lithium-ion battery material and structural analysis</li>
<li>Learn how IC, GC-MS, ICP-OES, and SEM support battery value chain from raw materials to recycling</li>
<li>Learn about different applications and performance demonstrated with selected analysis examples</li>
</ul>
<h5>Who should attend:</h5>
<ul>
<li>Battery material analysis laboratory managers and analysts</li>
<li>Battery cell manufacturers and their QA/QC personnel</li>
<li>Scientists working in battery research and development</li>
</ul>
<blockquote>
Presenter: Sukanya Sengupta (Application Specialist, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Sukanya Sengupta completed her master’s in Geosciences in Kolkata, India in 2011. She moved to Göttingen, Germany in 2012 for her PhD and Post-Doctoral research on understanding early Earth processes using oxygen isotopes. After that Sukanya joined Thermo Fisher Scientific in Bremen in 2020 as Application Specialist for ICP-OES and ICP-MS where she assists customers in their daily laboratory routines for trace elemental analysis. She is engaged in developing new methods and applications, on a variety of different sample types, that fulfil industry as well as research requirements.
</blockquote>
<blockquote>
Presenter: Paul Voelker (Product Marketing Manager, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Paul Voelker is an expert in environmental and industrial applications for the ion chromatography and mass spectrometry division at Thermo Fisher Scientific. Paul has more than 25 years of experience in business, marketing, and product marketing management in environmental, industrial, and pharma/biopharma markets. He holds a Bachelor of Science degree in Chemistry from California State University at Hayward, and a Master of Science in Chemistry from the University of California at Davis, and has eight publications and seven patents to his credit.
</blockquote>
<blockquote>
Presenter: Nicholas Warner (Product Specialist, Thermo Fisher Scientific)
</blockquote>
<blockquote>
Nicholas is a product specialist with a strong scientific background in GC and GC-MS applications. He is originally from Halifax, Nova Scotia (Canada). After working as an environmental researcher for 14 years within Tromsø, Norway, he recently moved to Germany to work for Thermo Fisher Scientific. With a background in Environmental/Analytical chemistry, he is a specialist in the analysis of emerging harmful substances in the environment using gas chromatography mass spectrometry and high-resolution mass spectrometry.
</blockquote>

Thermo Scientific: PowerUp: Solutions for lithium-ion battery material analysis and testing

Analysis of battery electrolytes

Learn how IC, GC-MS, ICP-OES, and SEM support battery value chain from raw materials to recycling.

SelectScience invites you to join fellow food scientists, manufacturers, and technology providers from across the globe for this unique event in the scientific calendar.
Join us online, in real-time, to discuss the very latest developments in food analysis, with a diverse range of topics including food safety analysis, food legislation and quality control, food pathogens, pesticides, mycotoxins, and more.
<ul>
<li>Keep up-to-date with major developments in food analysis</li>
<li>Access application notes, infographics, posters, and more</li>
<li>Network with scientists globally</li>
<li>Discover the latest technology launches</li>
</ul>
<h3>Agenda</h3>
<h5>13:30 (CEST) Opening address &amp; Poster session</h5>
<h5>14:00 (CEST) KEYNOTE SPEECH: Title tbc</h5>
<ul>
<li>Prof. Jana Hajšlová, UCT Prague</li>
</ul>
<h5>14:00 (CEST) KEYNOTE SPEECH: Characterization of Food and Drink by Atmospheric Solids Analysis Probe (ASAP) Mass Spectrometry</h5>
<ul>
<li>Prof. Gene Hall, Rutgers University</li>
</ul>
<h5>14:45 (CEST) Can AI make our food safer?</h5>
<ul>
<li>Dr. Bert Popping, FOCOS Food Consulting</li>
</ul>
<h5>14:45 (CEST) Mycotoxins in plant-based meat alternatives: A safety issue or not?</h5>
<ul>
<li>Prof. Chiara Dall&#39;Asta, University of Parma</li>
</ul>
<h5>15:30 (CEST) Emerging trends and future directions in food testing: Measuring migration from food contact materials</h5>
<ul>
<li>Dr. Yelena Sapozhnikova, USDA-ARS; Cristina Nerín, University of Zaragoza; Tim Stratton, Thermo Fisher Scientific</li>
</ul>
<h5>15:30 (CEST) Pesticide residue analysis in cannabis: Method fundamentals and confirmation strategies</h5>
<ul>
<li>Dr. Julie Kowalski, JA Kowalski Science Support, LLC</li>
</ul>
<h5>16:30 (CEST) The food packaging synergy: Advantages, safety and integrity risks, and possible solutions</h5>
<ul>
<li>Prof. Salvatore Parisi, Lourdes Matha Institute of Hotel Management and Catering Technology (IHMCT)</li>
</ul>
<h5>16:30 (CEST) From the lab to the table – food analysis with Raman microscopy</h5>
<ul>
<li>Andrea Richter, Witec</li>
</ul>
<h5>17:15 (CEST) Getting out of the weeds: Food pesticide analysis with Agilent GC/MS/MS</h5>
<ul>
<li>Joel Ferrer, Agilent</li>
</ul>
<h5>17:15 (CEST) Automated sample preparation for pesticides using QuEChERS extraction and cleanup</h5>
<ul>
<li>Dr. Hans-Joachim Huebschmann; Chiew Mei Chong, CTC Analytics AG; Gwen Lim, CTC Analytics – session sponsored by Pal System</li>
</ul>
<h5>18:00 (CEST) Utilizing new and unique GC column selectivities for optimal separation of dioxins, PCBs, and PAHs in environmental and food matrices</h5>
<ul>
<li>Dr. Ramkumar Dhandapani, Phenomenex</li>
</ul>
<h5>18:00 (CEST) LC-MS/MS: The key to analyzing PFAS in milk, infant formula, and related food ingredients</h5>
<ul>
<li>Dr. Lukas Vaclavik, Eurofins Food Integrity &amp; Innovation</li>
</ul>
<h5>18:45 (CEST) The wonderful gift of good water</h5>
<ul>
<li>Rex Simcox, Chattanooga Coca-Cola Co.</li>
</ul>
<h5>19:15 (CEST) Poster session</h5>

SelectScience: Virtual Food Analysis Summit 2022

Virtual Food Analysis Summit 2022

Join us to discuss the very latest developments in food safety analysis, food legislation and quality control, food pathogens, pesticides, mycotoxins, and more.

<h4>Session 1: NIAS in packaging and PFAS</h4>
A non-intentionally added substance or NIAS, in packaging is an issue of growing concern. First mentioned in EU Regulation 10/2011, predictable and unpredictable NIAS, in the form of degradation products and impurities, were found not only in plastic but also in paper and in newly developed materials, such as recycled and biobased packaging.
In the case of recycled materials, there is a new type of NIAS, which comes from recycling cycles: an accumulation of different mixture of chemicals might occur when materials are recycled many times. The prediction, identification and control of NIAS in recycled materials is therefore challenging because of the difficulty tracing their origin.
Due to the complex identification of the contamination pathway, chemicals like PFAS can be considered to be both intentionally and non-intentionally added. Some PFAS molecules are included for use and find market applications in food contact materials due to their grease- and water-proof properties. In this case they are intentionally added. This is frequent in paper packaging; and when this also has a recycled content, PFAS can be present as NIAS, originating from the intentionally added PFAS in the recycled paper fibres, or from inks, for example. 
Environmental contamination should also not be ignored, where PFAS can be introduced in paper packaging from water used during the recycling or manufacturing process or from the atmosphere. 
Distinguishing between these sources is important: new instrumental technologies and approaches are needed, not only for analytical efficiency and for performance, but also to open up the identification and quantification of what is predictable and what is not.
<blockquote>
Presenter: Andrea Vittadello (Mérieux NutriSciences Food Science Center)
</blockquote>
<blockquote>
Andrea Vittadello co-ordinates the group of Project Managers in Mérieux NutriSciences Food Science Center and is himself Project Manager for the Sustainability area. He has been part of this laboratory since 2002 and has been involved almost immediately in biodegradability studies. He is a member of the European Bioplastics Technical Committee and the BPI Committee on Standards and Procedures. He is also currently Convenor at two CEN groups for Specific and Global Migrations, and of a UNI committee on Food Contact Materials.
</blockquote>
<h4>Session 2: A GC- and LC-MS workflow for determining NIAS in food packaging</h4>
In addition to known intentionally added substances, food packaging can contain degradation products, impurities, and contaminants from production processes or recycled materials, i.e., non-intentionally added substances (NIAS). These components can potentially migrate into food, thus requiring studies that screen for NIAS and characterize food safety more accurately. This process is complicated, however, by the need to use a non-target analysis workflow for unknown identification. 
This talk will discuss development, validation, and application of non-target analysis workflows for NIAS identification in food packaging for both GC-HRMS and LC-HRMS platforms. Results from plastic and paper food packaging studies will also be presented, where intentionally and non-intentionally added substances, including PFAS, are identified.
<blockquote>
Presenter: Dr. Yelena Sapozhnikova (Agricultural Research Service, USDA)
</blockquote>
<blockquote>
Dr. Yelena Sapozhnikova is a Research Chemist at the Agricultural Research Service, United States Department of Agriculture (USDA) in Wyndmoor, PA, USA. Her research focuses on the development of new methods for the residual analysis of chemical contaminants, including pesticides, environmental and emerging contaminants, and food packaging chemicals using gas and liquid chromatography with mass spectrometry. Dr. Sapozhnikova has over 20 years of experience in the analysis of chemical contaminants in food and environmental samples.
</blockquote>
<blockquote>
Presenter: Dr. Raegyn Taylor (Agricultural Research Service, USDA)
</blockquote>
<blockquote>
In 2021, Raegyn earned her PhD in analytical chemistry from Baylor University where her primary focus was analysis of pesticides, harmful algal bloom toxins, and pharmaceuticals in aquatic systems. Her current research efforts focus on assessing potential human exposure to emerging contaminants in food and food packaging with targeted and non-targeted LC-MS based approaches.
</blockquote>

Contaminants in food - NIAS in packaging and PFAS

NIAS in packaging and PFAS, A GC- and LC-MS workflow for determining NIAS in food packaging.

Tired of manual sample preparation procedures for SPE and the challenges of transferring these methods? SPE methods can be cumbersome and require constant monitoring. These protocols also have many manual intervention steps that can be prone to error due to the touch points involved - from accurate pipetting to ideal pressure settings and consumable changes.
What if there was a fully automated solution that would remove manual interventions for SPE altogether while documenting the method to ensure easy and seamless method transfer? How great would it be if programming that solution was as easy as dragging and dropping and intuitively selecting key parameters?
<h5>We will be discussing:</h5>
<ul>
<li>The challenges of manual SPE methods
</li>
<li>Software solutions designed to overcome common SPE method parameters that often make method transfer trickey
</li>
<li>How intuitive software programming can work seamlessly with cutting edge hardware solutions for fully automated and intuitive SPE
</li>
</ul>
<blockquote>
Presenter: Jasper Eaton (Senior Product Marketing Manager, Waters Corporation)
</blockquote>
<blockquote>
Jasper has a Bachelor’s degree in General Biology and obtained a Masters Degree in Molecular and Cellular Biology from the University of Grenoble-Alpes. He was previously the EU Sales Manager at Andrew Alliance since 2017, and is now a Senior Product Marketing Manager at Waters Corporation. His experience has made him well versed in the challenges faced by customers looking to automate their lab workflows.
</blockquote>
<blockquote>
Presenter: Guillaume Mignard (OneLab Product Manager, Waters Corporation)
</blockquote>
<blockquote>
Guillaume started his career as a User Experience and Interface Designer for business software when it was primarily a trend for web marketing websites.
</blockquote>
<blockquote>
After joining the Andrew Alliance Software team in 2017, he became Product Designer and product owner of OneLab, a cloud-native software platform for making lab automation accessible to every scientist. He is responsible of the strategic direction of OneLab, the design and implementation of every feature as well as the diffusion of what it is released to stakeholders and customers.
</blockquote>

Waters Corporation: Extraction+ Live Deminar: Fully Automated SPE, Made Easy

Extraction+ Live Deminar: Fully Automated SPE, Made Easy

The challenges of manual SPE methods. Software solutions. How intuitive software programming can work seamlessly.