🎤 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

Article

Application

Video

Presentation

Scientific article

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.

CATRIN

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

Shimadzu Corporation

This is the first of a series of webinars on fundamental concepts in gas chromatography.
This first session will cover:
<ul>
<li>Principles of gas chromatography
</li>
<li>Uses of gas chromatography
</li>
<li>Hardware overview
</li>
<li>Carrier gases
</li>
</ul>
This series is perfect for anyone currently using GC, who&#39;d like to understand more about the technique, the hardware and the data produced. It&#39;s also suitable for anyone who is new to GC and who&#39;d like to understand more about it.
<blockquote>
Presenter: Andrew Clissold (GC/GC-MS Business Manager, Shimadzu UK Limited)
</blockquote>

Shimadzu: Introduction to Gas Chromatography - Hardware Overview & Carrier Gases

Introduction to Gas Chromatography - Hardware Overview & Carrier Gases

Principles of gas chromatography. Uses of gas chromatography. Hardware overview. Carrier gases.

Introduction to Gas Chromatography: Hardware & Carrier Gases

Simple good practices for quality data including:
<ul>
<li>Sample prep and key accessories
</li>
<li>Attenuated Reflectance Accessory (ATR)
<ul>
<li>Overview
</li>
<li>Pros and Cons
</li>
<li>Tips for ATR analysis
</li>
</ul>
</li>
<li>Environmental effects - CO2 and H2O
</li>
<li>Library search and precautions
</li>
<li>Micro analysis
<ul>
<li>Application examples</li>
</ul>
</li>
</ul>

FTIR Tips and Tricks Webinar

This webcast will consist of two parts. Part 1 will start off with a basic introduction to UV/Vis/NIR integrating spheres.
We will then consider samples, such as plastic films and colored Spectralon®, that illustrate how sphere diameter can impact spectral accuracy in both reflectance and scatter transmission measurements. This section will conclude with a look at how sample surface texture and sample placement against the sphere’s port, can result in unusual artifacts in the spectra.
Part 2 will discuss two novel integrating sphere applications within the rapidly growing technology field of nanomaterials.
Carbon nanotubes constitute a large arena of products where UV/Vis/NIR spectroscopy, employing an integrating sphere, is functional in both research and quality control. The webcast will conclude with a detailed look at the UV/Vis/NIR spectroscopy of butterfly wings. The colors on most butterfly wings do not arise from either dyes or pigments, but from nanostructures that physically diffract, rather than absorb light. As such, they represent an interesting platform to investigate the potential for spectroscopic materials characterization of nanostructures attached to surfaces.
<blockquote>
Presenter: Jeffrey L. Taylor, Ph.D. (Molecular Spectroscopy Guru, Industry Expert With Over 35 Years of Experience)
</blockquote>
<blockquote>
Dr. Jeffrey L. Taylor received his Bachelor of Science degree from Georgia College and State University with dual majors in Physiology and Organic Chemistry. He obtained a Master of Science degree from the University of Georgia in Toxicology and later a Doctor of Philosophy degree from the same school in Biochemistry and Spectroscopy.
</blockquote>
<blockquote>
He has spent his career of over 35 years with major spectroscopy instruments manufacturers, mainly working as Field Product Specialist and Senior Staff Scientist. Areas of expertise include technical support of sales, customer support/training, applications design and development, software specification/evaluation, and instrumental design and evaluation. He is the author of numerous application notes, conference presentations and webcasts, and holder of several patents.
</blockquote>
<blockquote>
Dr. Taylor, although retired, maintains his desire to contribute to the field. He is currently a consultant for Shimadzu Scientific Instruments to assist with sales support, application support and development of web-based educational resources.
</blockquote>
<blockquote>
Presenter: Sudhir Dahal, Ph.D. (Product Manager - Molecular Spectroscopy, Shimadzu Scientific Instruments)
</blockquote>
<blockquote>
Sudhir Dahal is Product Manager of Molecular Spectroscopy group at Shimadzu Scientific Instruments, USA. He joined the company after obtaining his PhD from University of Maryland Baltimore County (UMBC), where he researched and collaborated on developing novel spectroscopy-based technique for brain tumor cell detection. At Shimadzu Scientific Instruments, he and his group are responsible for overall sales support of molecular spectroscopy products in North America, Central America and parts of South America. The products include UV-Vis-NIR, FTIR, Fluorescence spectrophotometers and accessories.
</blockquote>
<blockquote>
His everyday responsibilities include, but are not limited to, teaching classes to sales/technical support engineers and customers, producing scientific literatures, researching new products and applications, representing Shimadzu at conferences and promoting the products through various marketing campaigns.
</blockquote>

Shimadzu: Plastic Films, Fabrics, Nano Particles, and Butterfly Wings: Novel, “Outside the Box”, Uses For UV/Vis/NIR Integrating Spheres

Plastic Films, Fabrics, Nano Particles, and Butterfly Wings: Novel, “Outside the Box”, Uses For UV/Vis/NIR Integrating Spheres

Basic introduction to UV/Vis/NIR integrating spheres. Two novel integrating sphere applications within the rapidly growing technology field of nanomaterials.

Plastic Films, Fabrics, Nano Particles, and Butterfly Wings

Most people think solutions in a cuvette when referring to spectrophotometers; however, in the world of materials characterization, rarely are solutions the primary sample.
Here the samples can be anything from solid, creams, gels, particle suspensions, films, and in some cases actual human beings (sunscreen characterization). These samples all have one thing in common, they are impossible to dilute. The materials characterization high performance spectrophotometer must have the ability to measure high absorbance values (8 to 10 absorbance units). Instrumental parameters that are crucial to measuring materials characterization samples are stray light, noise, resolution, and scan speed. In this presentation we will address how these inter-related parameters influence measurement success.
Most measurements for the above-mentioned samples are not of the simple transmission type. Reflection, both specular and diffuse, and scatter transmission measurements abound in the world of materials characterization. It is vital that the proper accessory be employed to match the measurement desired. This presentation will address the function of integrating spheres and how they can be used to measure both diffuse reflection and transmission. Also discussed will be the difference between a relative and absolute reflection measurement. Finally, an overview will be given of important accessories related to the materials characterization marketplace. Register now!
<blockquote>
Presenter: Jeffrey L. Taylor, Ph.D. (Molecular Spectroscopy Guru, Industry Expert With Over 35 Years of Experience)
</blockquote>
<blockquote>
Dr. Jeffrey L. Taylor received his Bachelor of Science degree from Georgia College and State University with dual majors in Physiology and Organic Chemistry. He obtained a Master of Science degree from the University of Georgia in Toxicology and later a Doctor of Philosophy degree from the same school in Biochemistry and Spectroscopy.
</blockquote>
<blockquote>
He has spent his career of over 35 years with major spectroscopy instruments manufacturers, mainly working as Field Product Specialist and Senior Staff Scientist. Areas of expertise include technical support of sales, customer support/training, applications design and development, software specification/evaluation, and instrumental design and evaluation. He is the author of numerous application notes, conference presentations and webcasts, and holder of several patents.
</blockquote>
<blockquote>
Dr. Taylor, although retired, maintains his desire to contribute to the field. He is currently a consultant for Shimadzu Scientific Instruments to assist with sales support, application support and development of web-based educational resources.
</blockquote>
<blockquote>
Presenter: Sudhir Dahal, Ph.D. (Product Manager - Molecular Spectroscopy, Shimadzu Scientific Instruments)
</blockquote>
<blockquote>
Sudhir Dahal is Product Manager of Molecular Spectroscopy group at Shimadzu Scientific Instruments, USA. He joined the company after obtaining his PhD from University of Maryland Baltimore County (UMBC), where he researched and collaborated on developing novel spectroscopy-based technique for brain tumor cell detection. At Shimadzu Scientific Instruments, he and his group are responsible for overall sales support of molecular spectroscopy products in North America, Central America and parts of South America. The products include UV-Vis-NIR, FTIR, Fluorescence spectrophotometers and accessories.
</blockquote>
<blockquote>
His everyday responsibilities include, but are not limited to, teaching classes to sales/technical support engineers and customers, producing scientific literatures, researching new products and applications, representing Shimadzu at conferences and promoting the products through various marketing campaigns.
</blockquote>

Shimadzu: UV/Vis/NIR Spectroscopy in the Arena of Materials Characterization Research and Quality Control: How Instrumental Performance and Accessories Define Success

UV/Vis/NIR Spectroscopy in the Arena of Materials Characterization Research and Quality Control: How Instrumental Performance and Accessories Define Success

The function of integrating spheres and how they can be used to measure both diffuse reflection and transmission.

UV/Vis/NIR Spectroscopy in the Arena of Materials

As the world grapples with COVID-19 pandemic and plans for the aftermath, digitalization of laboratory workspace has become more urgent than ever before.
In the future, most scientists will be telecommuting - away from the laboratory – for data analysis and reporting. Time spent in the laboratory itself will be solely for the purpose of analysing samples and pushing data into a secure database to be retrieved remotely. In this 45-min webinar, we will be discussing Shimadzu’s Informatics solutions – how different workflow solutions will facilitate the digitalization of your laboratory workspace by connectng your laboratory instruments, saving the data as well as allowing remote access and control for the users.
Learning Objectives
<ul>
<li>Understand how your team can start preparing your laboratory to the New Normal with Informatics Solutions
</li>
<li>Explore technologies that allows remote access to your laboratory from anywhere
</li>
<li>Implement effective data management and increasing productivity &amp; compliance in laboratories
</li>
</ul>
<blockquote>
Presenter: Sateesh Tummala (Assistant Manager, IT &amp; Informatics, Shimadzu (Asia Pacific) Pte Ltd)
</blockquote>
<blockquote>
Sateesh is associated with Shimadzu since beginning of his career. He started with technical support in India and expanded his scope for supporting ASEAN and South Asian countries. He has wide experience in Pharma domain and well versed with regulatory compliance guidelines. Sateesh is currently leading the informatics team in Shimadzu Asia Pacific, Singapore leading promotion and technical support of Shimadzu Informatics solutions and Caliber LIMS products in the region.
</blockquote>

Shimadzu: Digital Transformation of Laboratory Workspace – Enhancing Workflow with Analytical Intelligence

Digital Transformation of Laboratory Workspace – Enhancing Workflow with Analytical Intelligence

How different workflow solutions will facilitate the digitalization of your laboratory workspace by connectng your laboratory instruments.

Digital Transformation of Laboratory Workspace

There is currently a great deal of regulatory focus on data integrity, especially in the QC Laboratory.
This is causing pharmaceutical (and other) companies to re-examine their practices and processes and their use of analytical instruments and data management systems in order to not only assure data integrity, but to do so in a way that is capable of demonstrating compliance with international regulatory requirements.
This webinar will present on the topic of laboratory data integrity, examining this from the perspective of Laboratory Management, Supervisors and Technicians.
Topics covered will include:
<ul>
<li>What are the risks associated with a lack of data integrity and a background and overview of current and future regulatory trends
</li>
<li>Current regulatory guidance
</li>
<li>How risks to data integrity arise and what to do to address the cultural and technical risks
</li>
<li>How modern laboratory instruments and data management systems can assure technical compliance with data integrity requirements
</li>
<li>Intended Audience: Laboratory Data Owners (Managers) and Data Stewards (Laboratory Supervisors and Technicians).
</li>
</ul>
By viewing this webinar you will learn:
<ul>
<li>Why data integrity is important in assuring product quality and patient safety
</li>
<li>Why there is a significant focus on data integrity amongst international regulators
</li>
<li>Key steps to take to assure data integrity in the laboratory
</li>
</ul>
<blockquote>
Presenter: David Stokes (Principal Consultant and Director, Convalido Consulting Ltd, Newcastle-Upon-Tyne, UK)
</blockquote>

Shimadzu: Assuring Laboratory Data Integrity in a Time of Enhanced Regulatory Oversight

Assuring Laboratory Data Integrity in a Time of Enhanced Regulatory Oversight

Laboratory data integrity, examining this from the perspective of Laboratory Management, Supervisors and Technicians.

Assuring Laboratory Data Integrity

By automating the links between CDS and LIMS, a lab cam increase productivity and reduce errors.
Agilent has multiple ways to help labs do this for Agilent CDS systems as well as non-CDS data sources. This talk will give an overview of tools that help labs achieve bi-directional direct integration of sample information and results from Agilent CDS plus other sources and LIMS.
<blockquote>
Presenter: Dr. Ute Bober (Informatics Division, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Ute Bober is a Product Owner for the Software and Informatics Division at Agilent Technologies, where she focuses on delivering, maintaining and marketing software for effective laboratory workflow management. Ute has more than 20 years of professional experience in informatics. She started her career as an analytical research chemist and soon took the opportunity to develop towards software and informatics by working in field support, product management and product marketing at Hewlett Packard and Agilent Technologies. Since 2013 she is bringing here knowledge into the field of technical marketing where she currently owns the Sample Scheduler for OpenLab.
</blockquote>

Agilent Technologies: Increase Throughput and Reduce Errors by Automating LIMS Connectivity

Increase Throughput and Reduce Errors by Automating LIMS Connectivity

Overview of tools that help labs achieve bi-directional direct integration of sample information and results from Agilent CDS plus other sources and LIMS.

Increase Throughput and Reduce Errors by Automating LIMS

Your quest for a lab system to increase the automation and achieve a higher throughput is now compromised by the requirements for remote working and social distancing.
At the same time, a lab cannot operate without people actually being physically in the lab. So how can we minimize staff presence on premises while maintaining operations? In this session, we will discuss how to balance these two objectives and how to optimize working remotely including discussions around data security and operative aspects. Key Learning Objectives. Learn what it takes to successfully implement an end-to-end solution to manage all content, context, and results in the lab. Discuss aspects to consider to evaluate, implement and operate a remote Lab Workflow solution. Tips for how to make physical and digital processes come together.
<blockquote>
Presenter: Nicolas Louvet (Software Product Manager, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Nicolas Louvet joined Agilent Technologies in 2005 as an ELN Services Consultant in the Software &amp; Informatics Division, became the Product Manager for OpenLab ELN, and currently serves as the Software Product Manager for SLIMS. He has more than 15 years of experience working directly with clients needing to digitalize their laboratory processes. His area of expertise is focused on workflow and content management in the laboratory.
</blockquote>

Agilent Technologies: Laboratory Workflow Solutions: What to expect when you’re away from the lab?

Laboratory Workflow Solutions: What to expect when you’re away from the lab?

How to balance these two objectives and how to optimize working remotely including discussions around data security and operative aspects.

What to expect when you’re away from the lab?

The modern laboratory has data collected and reported from a variety of different instruments and locations.
Agilent’s Enterprise Content Manager can store that data and make metadata available for searching through a variety of data specific filters or customized PDF templates. The Metadata ReUse program can then help query and combine that data into an XML/Excel format for further reporting.
Key Learning Objectives
<ul>
<li>Introduction to the ECM-XT Web Client Interface
</li>
<li>MetaData Reuse tool features overview
</li>
<li>XML/Excel Export function of the the MetaData Reuse Tool
</li>
</ul>
<blockquote>
Presenter: Richard Mutkoski (Laboratory Informatics Application Engineer, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Richard Mutkoski began with Agilent (HP) in 1995. He has been an Application Engineer in Agilent’s Laboratory Informatics for the past 18 years. Prior to his career at Agilent Rich spent 12 years in a variety of small pharmaceutical firms in both R&amp;D and QA/QC capacities affording him first-hand knowledge of those workflows, bottlenecks and challenges.
</blockquote>

Agilent Technologies: The Power of Using Existing Meta-Data for Lab Wide Reporting

The Power of Using Existing Meta-Data for Lab Wide Reporting

Introduction to the ECM-XT Web Client Interface.

The promises of the digital lab are enticing but getting there sometimes seems daunting.
This presentation will discuss how to digitize lab operations from start to finish, which is especially relevant in a world where working remotely is becoming increasingly common. In the course of this journey, how can you realize your aspirations and create sustainable outcomes, all while dealing with varied lab environments? The good news is that you can start today. This talk will show how you can prepare the ground for a digital lab, how to improve efficiency of your lab operations, and what it takes to implement an end-to-end solution to manage all content, context, and results in the lab.
<blockquote>
Presenter: Nicolas Louvet (Software Product Manager, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Nicolas Louvet joined Agilent Technologies in 2005 as an ELN Services Consultant in the Software &amp; Informatics Division, became the Product Manager for OpenLab ELN, and currently serves as the Software Product Manager for SLIMS. He has more than 15 years of experience working directly with clients needing to digitalize their laboratory processes. His area of expertise is focused on workflow and content management in the laboratory.
</blockquote>

Agilent Technologies: How to Achieve a Fully Digital, End-to-End Analytical Workflow with CDS, ELN and LIMS

How to Achieve a Fully Digital, End-to-End Analytical Workflow with CDS, ELN and LIMS

How to digitize lab operations from start to finish, which is especially relevant in a world where working remotely is becoming increasingly common.