Metabolomic and Proteomic Analysis of ApoE4-Carrying H4 Neuroglioma Cells in Alzheimer’s Disease Using OrbiSIMS and LC-MS/MS

Our Library never stops expanding. What are the most recent contributions to LabRulezLCMS Library in the week of 30th September 2024? Check out new documents from the field of liquid phase, especially HPLC and LC/MS techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT LCMS AND RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">LabRulezGCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">LabRulezICPMS</a> libraries.</blockquote>This week we bring to you applications by Shimadzu, Thermo Fisher Scientific, Waters Corporation, and Metrohm and a tech nical note by Agilent Technologies!<h4>1. Agilent Technologies: <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/te_openlab_oligo_analysis_accelerator_5994_7798en_agilent_d8503d3d3c.pdf">Purity, Assay, and Impurity Profiling of Single-Stranded Oligonucleotides Using Agilent Oligo Analysis Accelerator for OpenLab CDS</a></h4><ul><li>Technical note</li></ul>IntroductionChallenges with therapeutic synthetic oligonucleotides include determining the sample purity, label claim or assay, and quantitation of impurities. Traditional HPLC methods that rely on 260 nm UV detection may not have the necessary sensitivity or specificity for quality control (QC) testing. Using a more selective detector such as a mass spectrometer is a viable approach for QC testing needs. Although LC/MS methods are a mainstay for characterization of oligos, many high-resolution accurate mass detectors may not have the robustness needed in a routine testing environment such as QC. Additionally, a high level of technical expertise is often required for MS operation, data analysis, and data interpretation.A more practical approach uses a single quadrupole detector that is both sufficiently selective and sensitive enough for purity, assay, and impurity profiling of oligos. Given its relatively high mass range and sensitivity in full scan mode, the Agilent InfinityLab LC/MSD XT can meet the demands for LC/MS QC.As demonstrated by Rentel et al.,1 the LC/MSD XT can be used and validated for the QC lot release of oligos. However, one challenge that remains is the complex, multistep data analysis which requires the extraction of several extracted ion chromatograms and manual integrations. Performing these operations in a chromatography data system (CDS) while meeting compliance requirements can be time consuming. Manual transcriptions by the analyst may lead to a high margin of error, further delaying decision making.This technical overview will address the Oligo Analysis Accelerator (OAA) for Agilent OpenLab CDS. This software add-on acts as the data analysis front end to OpenLab CDS, leveraging built-in technical controls that help meet data integrity and compliance requirements. By performing overlays, integrations, and calculations in a fit-for-purpose user interface, data analysis is significantly streamlined. This not only saves time-on-task but also improves data quality.SummaryThe final step in the workflow is to review the results. This includes the SST results shown in previous steps, as well as purity and identity results. Assay results may vary depending on which formulation was selected for the sample.It is important to note that the summary itself is not the report. An OpenLab CDS report template must still be used to report the results for review. Further, any electronic signatures and approvals occur within OpenLab CDS, not in OAA. Again, this is because OAA leverages the already existing data compliance engine within the OpenLab CDS platform.Future considerationsLC/MS data analytical workflows have been confined to data systems either used to interpret spectra or chromatograms. However, the need for more user-friendly, fit-for-purpose data analysis is becoming increasingly important for the development of complex therapeutics such as oligonucleotides.&nbsp;Agilent Oligo Analysis Accelerator for OpenLab CDS is a paradigm shift in the way software is being developed.<h4>2. Waters Corporation: <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720008495_en_8ac74493e3.pdf">Repeatability and Reproducibility of the Oasis™ WAX/GCB for PFAS Analysis Cartridges in Aqueous Samples for EPA Method 1633</a></h4><ul><li>Application</li></ul>AbstractIn January 2024, EPA Method 1633 was finalized. EPA Method 1633 is the first method to incorporate the determination of 40 PFAS compounds across many challenging environmental sample matrices outside of drinking water, including non-potable waters (ground water, surface water, and wastewater) as well as soil, biosolids, and tissue by LC-MS/MS analysis. EPA Method 1633 requires use of both weak anion exchange (WAX) solid phase extraction with graphitized carbon black (GCB) cleanup and is a performance-based method allowing for modifications as long as acceptance criteria for recoveries and %RSDs are met.This application note highlights the sample extraction for non-potable aqueous samples in EPA Method 1633 using a dual-phase, or bilayer cartridge: Oasis WAX/GCB for PFAS Analysis meeting the method acceptance criteria and displays reproducibility of the cartridges.Benefits<ul><li>Oasis WAX/GCB for PFAS Analysis, a dual-phase cartridge is reproducible and repeatable for EPA Method 1633 aqueous samples in both inter- and intra-batch assays</li><li>Reduction of manual steps, overall sample preparation time by use of the dual-phase SPE cartridge</li><li>Acceptance criteria for recoveries and %RSDs are met for EPA Method 1633 for aqueous samples</li></ul>ConclusionThis study demonstrates the reproducibility of the dual-phase Oasis WAX/GCB for PFAS Analysis cartridges for determination of 40 PFAS and standards using the ACQUITY UPLC I-Class System and Xevo TQ-XS Mass Spectrometer. The cartridges are suitable for PFAS analysis in accordance with EPA 1633 guidelines for recovery and %RSD. The WAX/GCB cartridges show excellent repeatability across multiple product lots and within multiple replicates of each lot across non-potable water samples. The data demonstrates Oasis WAX/GCB for PFAS Analysis cartridges are ideally suited for PFAS analysis from complex matrices, such as non-potable waters like those described in EPA Method 1633. Out of the box performance is expected lot to lot and within a lot for SPE when using Oasis WAX/GCB for PFAS Analysis.<h4>3. Thermo Fisher Scientific: <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/ab_003164_en_dllme_triplus_pfas_15478b8469.pdf">Dispersive liquid-liquid micro-extraction for the automated sample preparation of PFAS in drinking water</a></h4><ul><li>Application</li></ul>Application benefits<ul><li>Improved sensitivity: DLLME provides high enrichment factors, which can improve the detection sensitivity of PFAS in drinking water samples, down to challenging regulatory detection and reporting limits.</li><li>Cost-effective: DLLME uses a small volume of solvent, which not only reduces the cost but also makes the method more environmentally friendly.</li><li>Versatility: DLLME can be employed for the analysis of a wide range of PFAS classes, followed by either high performance liquid chromatography or gas chromatography as a separation technique, coupled to tandem mass spectrometry or high-resolution accurate mass as detection method.</li></ul>GoalTo demonstrate a comprehensive method for the analysis of per- and polyfluoroalkyl substances (PFAS) by harnessing the potential of automated sample preparation on the Thermo Scientific™ TriPlus™ RSH SMART liquid handling station, with dispersive liquid-liquid micro extraction (DLLME) as a simple, cost-effective, and versatile extraction and pre-concentration technique. This was performed on LC-MS, but the same workflow can be also applied to GC-MS.Keywords: DLLME, PFAS, sample preparation, automation, liquid handling, drinking waterConclusionsThe DLLME method presented in this work is a promising technique for the extraction and pre-concentration of PFAS from drinking water samples. Thanks to the described careful optimization and validation of the method, it provides an automated, fast, efficient, and green alternative to traditional and manual extraction methods. As compared to SPE procedures, the only manual steps consist in adding internal standards and an acidic solution to the sample, and then the TriPlus RSH SMART instrument will perform the extraction automatically, while for SPE procedures, the rest of the steps are mostly manual. This workflow allows laboratories to overcome the challenges associated with this analysis, providing high enrichment factors for all the different compound classes studied, as well as good reproducibility and robustness of the extraction process. In summary, the presented automated DLLME sample preparation has the following advantages:<ul><li>Reduced sample volume (15 mL) for easy sample handling, transportation, and storage.</li><li>Cost reduced by low solvent usage and no need for filters or SPE cartridges.</li><li>Automation enables reproducible and accurate results, with low inner- and cross-contamination.</li><li>Short runtime and automated process managed by Chromeleon software saves time and allows staff to perform more profitable activities.</li><li>The short runtime of the TriPlus RSH SMART instrument opens the possibility to feed one or more analytical instruments, including HPLC-MS or GC-MS technologies.</li><li>The extraction protocol without using filters and based on the use of low-density solvent for extraction can open the way for the extraction of other matrices such as wastewater.</li></ul><h4>4. Shimadzu: <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00658_en_79d68e6421.pdf">Efficient Data Analysis with Peakintelligence - Application for Analyzing Per- and Polyfluoroalkyl Substances (PFAS)</a></h4><ul><li>Application</li></ul>User Benefits<ul><li>Peakintelligence peak integration software substantially reduces the time and effort required for data analysis in PFAS analysis.</li><li>Since it does not require parameter settings, Peakintelligence allows even inexperienced users to perform peak integration and achieve results on par with experienced workers.</li></ul>IntroductionPer- and polyfluoroalkyl substances (PFAS) are lyophobic, heat resistant, and chemically resistant compounds used extensively as coatings, surface treatment agents, emulsifiers, and fire-extinguishing agents. Concerns about PFAS and their persistence in the environment, accumulation in living organisms, toxicity to living organisms, and ability to travel long distances have recently led to fact-finding studies on PFAS and the introduction of regulations. As of October 2023, only three PFAS are subject to regulatory restrictions in Japan (PFOS, PFOA, and PFHxS), but more are subject to restrictions in the USA and Europe. Throughout the world, an increasing number of PFAS are expected to require analysis. These changes will create more analytical data that will have to be processed, creating a need for more efficient methods of data analysis.Peakintelligence is a peak integration software equipped with peak-finding algorithms that have been developed with the help of artificial intelligence (AI). This Application News describes a case example in which it was used to process chromatogram data of PFAS analysis and reduce the effort required and increase the efficiency of the analysis.ConclusionUsing Peakintelligence to process peaks in PFAS analysis substantially reduced the number of false detections and falsely identified peaks. It also significantly reduced the number of peaks that required manual processing, and it did not need pre-analysis adjustment of parameters. These improvements enable substantial reductions in the time and effort required to perform data analysis. Avoiding parameter settings by the user also eliminates variability in the results between users, which helps eliminate dependency on specific personnel. As the number of PFAS requiring analysis increases throughout the world, a more efficient method of analyzing peaks will be needed; Peakintelligence is an effective solution for this need.<h4>5. Metrohm: <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_v_239_download_6884b899af.pdf">Iron speciation in LiFePO4 batteries</a></h4><ul><li>Application</li></ul><h5>Simultaneous determination of Fe(II) and Fe(III) in lithium iron phosphate with the Multi-Mode Electrode pro</h5>Lithium iron phosphate (also known as LiFePO4 or lfp) batteries last for over 2000 charges and are safer because of their lower risk of overheating. LiFePO4 batteries have a slightly lower energy density compared to lithium-ion batteries. However, high discharge rates of lfp batteries make them ideal for electric vehicles, renewable energy storage, and backup power systems. Lithium iron(II) phosphate is used as a cathode material in lithium iron phosphate batteries. Characterization of lfp and monitoring the oxidation state of iron in lfp batteries is relevant to battery performance in terms of durability, capacity, and safety. Additionally, analyzing chemical composition can be useful for battery research and can aid eco-friendly recycling practices. This is essential for driving battery technology forward and promoting clean energy solutions.Polarographic speciation of Fe(II) and Fe(III) can be used to evaluate the purity of LiFePO4 and its usability as a cathode material in lithium iron phosphate batteries. It can further be used to study the concentrations of Fe(II) and Fe(III) in the cathode material after several charging and discharging cycles to evaluate the aging behavior.

News from LabRulezLCMS Library - Week 40, 2024

What chemicals are we exposed to on a daily basis? That is the central question of ‘non-targeted analysis’ or NTA, an emerging field of analytical science that aims to identify all chemicals around us. A daunting task, because how can you be sure to detect everything if you don’t know exactly what you’re looking for? In a paper in Environmental Science and Technology, researchers at the Universities of Amsterdam (UvA, the Netherlands) and Queensland (UQ, Australia) assess this problem. In a meta-analysis of NTA results published over the past six years, they estimate that less than 2% of all chemicals have been identified.According to Viktoriia Turkina who performed the research as a PhD student with Dr Saer Samanipour&nbsp; at the UvA’s Van ‘t Hoff Institute for Molecular Sciences, this limitation underscores the urgent need for a more proactive approach to chemical monitoring and management. “We need to incorporate more data-driven strategies into our studies to be able to effectively protect the human and environmental health”, she says.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/University_of_Amsterdam_HIMS_There_is_much_to_improve_in_identifying_all_the_chemicals_around_us_Viktoriia_Turkina_de5a1652e1.jpg" alt="University of Amsterdam / HIMS: Viktoriia Turkina." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_University_of_Amsterdam_HIMS_There_is_much_to_improve_in_identifying_all_the_chemicals_around_us_Viktoriia_Turkina_de5a1652e1.jpg 164w," sizes="100vw" width="700" height="665">Samanipour explains that current monitoring of chemicals is rather limited since it’s expensive, time consuming, and requires specialized experts. “As an example, in the Netherlands we have one of the most sophisticated monitoring programs for chemicals known to be of concern to human health. Yet we target less than 1000 chemicals. There are far more chemicals out there that we don't know about.”<h4>A vast chemical space</h4>To deal with those chemicals, some 15 to 20 years ago the concept of non-targeted analysis was introduced to look at possible exposure in an unbiased manner. The idea is to take a sample from the environment (air, water, soil, sewer sludge) or the human body (hair, blood, etc ) and analyse it using well-established analytical techniques such as chromatography coupled with high resolution mass spectroscopy. The challenge then is to trace the obtained signal back to the structures of chemicals that may be present in the sample. This will include already known&nbsp; chemicals, but also chemicals of which the potential presence in the environment is yet unknown.In theory, this ‘chemical space’ includes as many as 1060 compounds, an incomprehensible number that exceeds the number of stars in the universe by far. On the other hand, the number of organic and inorganic substances published in the scientific literature and public databases is estimated at around 180 million. To make their research even more manageable, Turkina, Samanipour and co-workers focused on a subset of 60.000 well-described compounds from the NORMAN database. Turkina: “This served as the reference to establish what is covered in NTA studies, and more importantly, to develop an idea about what is being overlooked.”<blockquote>The vast ‘exposome’ of chemicals that humans are exposed to on a daily basis is a sign of our times, according to Samanipour. “These days we are soaking in a giant ocean of chemicals. The chemical industry is part of that, but also nature is running all a whole bunch of reactions that result in exposure. And we expose ourselves to chemicals by the stuff we use - think for instance of the problem of microplastics. To solve all this we have to be able to go beyond pointing fingers. With our research, we hope to contribute to finding a solution together. Because we all are in the same boat.”</blockquote><div><div><div><div><h4>Much room for improvement</h4>The meta analysis, which included 57 NTA papers, revealed that only around 2% of the estimated chemical space was covered. This can indicate that the actual exposure to chemicals is indeed quite low, however, it can also point to shortcomings in the applied analyses. According to Turkina and Samanipour, the latter is indeed the case. They focused on NTA studies applying liquid chromatography coupled with high resolution mass spectrometry (LC-HRMS) -one of the most comprehensive methods for the analysis of complex environmental and biological samples.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/University_of_Amsterdam_HIMS_There_is_much_to_improve_in_identifying_all_the_chemicals_around_us_Saer_Samanipour_5c78a79b5b.jpg" alt="University of Amsterdam / HIMS: Saer Samanipour." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_University_of_Amsterdam_HIMS_There_is_much_to_improve_in_identifying_all_the_chemicals_around_us_Saer_Samanipour_5c78a79b5b.jpg 180w," sizes="100vw" width="700" height="606"><div>It turned out that there was much room for improvement. For instance in sample preparation, they observed a bias towards specific compounds rather than capturing a more diverse set of chemicals. They also observed poor selection and inconsistent reporting of LC-HRMS parameters and data acquisition methods. “In general”, Samanipour says, “the chemical analysis community is to a great extent driven by the available technology that vendors have developed for specific analysis purposes. Thus the instrumental set-up and data processing methods are rather limited when it comes to non-targeted analysis.”To Samanipour, the NTA approach is definitely worth pursuing. “But we need to develop it further and push it forward. Together with vendors we can develop new powerful and more versatile analytical technologies, as well as effective data analysis protocols.” He also advocates a data-driven approach were the theoretical chemical space is ‘back calculated’&nbsp; towards a subset of chemicals that are highly likely to be present in our environment. “Basically we have to better understand what is the true chemical space of exposure. And once those boundaries are defined, then it becomes a lot easier to assess that number of 2% we have determined.”<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/University_of_Amsterdam_HIMS_EST_There_is_much_to_improve_in_identifying_all_the_chemicals_around_us_Distribution_of_all_chemicals_found_in_the_reviewed_articles_orange_overlaid_on_top_6a16bff0b0.jpg" alt="University of Amsterdam / HIMS / EST: Distribution of all chemicals found in the reviewed articles (orange), overlaid on top." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_University_of_Amsterdam_HIMS_EST_There_is_much_to_improve_in_identifying_all_the_chemicals_around_us_Distribution_of_all_chemicals_found_in_the_reviewed_articles_orange_overlaid_on_top_6a16bff0b0.jpg 245w," sizes="100vw" width="777" height="441"></div></div></div></div></div>

There is much to improve in identifying all the chemicals around us 

Article

Application

Health

Scientific article

Science and research

Video

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

The University of Amsterdam is one of the largest comprehensive universities in Europe. With some 40,000 students, 6,000 staff, 3,000 PhD candidates, and an annual budget of more than 850 million euros, it is also one of Amsterdam’s biggest employers.

There is an inseparable link between the university and its host city. The freedom and creativity with which Amsterdam has long been associated have worked their way into the fabric of the university. This is a place where individuality, authenticity and diversity are celebrated as sources of stimulation, inspiration and innovation.

Professional and personal development, challenges and collaboration are undertaken in a versatile and multidimensional (inter)national ecosystem with leading stakeholders. Staff at the UvA make a meaningful contribution to uncovering solutions to some of the world’s most significant problems and to developing the next generation of talent.

University of Amsterdam

Agilent Technologies

Waters Corporation

<h4>European Free Educational Webinar Series</h4>
Let&#39;s go back to the basics of Chromatography, Mass Spectrometry, Data Analysis and Trouble-shooting: understanding the importance of the basics will enable you to be more effective in your daily laboratory life.
<h4>EPISODE 6</h4>
The importance of Compliance
What will you learn?
<ul>
<li>Data Integrity Matters - A short Overview</li>
<li>What is important in your Lab Environment</li>
</ul>
<blockquote>
Prezenter: Arjan Timmerman (Pharma Market Development Manager EMEA, Waters Corporation)
</blockquote>
<blockquote>
Arjan Timmerman is a market development manager at Waters working in EMEA. Prior to joining Waters in 2014 he worked for 17 years as an Analytical Scientist in the Small Molecule Pharmaceutical industry in various Chemical and Pharmaceutical late-stage development labs.
</blockquote>
<blockquote>
Since 2023 he became QA/QC market development manager for EMEA working in a dedicated team and focuses on Pharmaceutical workflows, AQbD, Impurities, LC Chromatography and Compliance.
</blockquote>
<h4>What&#39;s next?</h4>
Full Webinar Series Episodes List is available <a href="https://event.on24.com/wcc/r/4551012/F69479929A905500D8B21508527807E5/5385652">here</a>
Back to Basics - Sample Preparation: Theory and Overview
<ul>
<li>Tuesday, May 07, 2024, 11:00 AM CEST</li>
</ul>
Back to Basics - Sample Preparation: Tips &amp; Tricks to make it simple
<ul>
<li>Wednesday, June 05, 2024, 11:00 AM CEST</li>
</ul>
Back to Basics - Theory of Liquid Chromatography
<ul>
<li>Wednesday, July 03, 2024, 11:00 AM CEST</li>
</ul>
Back to Basics - Basics of Liquid Chromatography
<ul>
<li>Tuesday, September 10, 2024, 11:00 AM CEST</li>
</ul>
Back to Basics - Analytical Method Development
<ul>
<li>Wednesday, October 02, 2024, 11:00 AM CEST</li>
</ul>
Back to Basics - The importance of Compliance
<ul>
<li>Tuesday, October 22, 2024, 11:00 AM CEST</li>
</ul>
Back to Basics - Introduction to Mass Spectrometry
<ul>
<li>Wednesday, November 13, 2024, 11:00 AM CET</li>
</ul>
Back to Basics - Troubleshooting your LC and MS Systems
<ul>
<li>Tuesday, December 10, 2024, 11:00 AM CET</li>
</ul>
Not sure to be able to attend live sessions?
Register today and watch the webinars on-demand

Waters Corporation: Back to Bacisc Free Educational Webinar Serries

The importance of Compliance

Why data integrity matters and what is important in your lab environment.

This webinar is about single quad mass detectors. We will look at the development of single quads together and highlight the possibilities offered by today's single quads and how they support the user.The aim of the webinar is to show users how they can easily add mass-selective confirmation to their HPLC-UV methods. In other words: achieve greater security without more complexity.<blockquote>Presenter: Shaun Pritchard (Product Specialist Liquid Phase Separations, Agilent Technologies)Shaun Pritchard is a Product Specialist for separation products at Agilent Technologies covering the UK and Ireland. He started his career in 1989 working at a large Pharmaceutical company holding a number of roles, this is where he became passionate about HPLC finally in 1998 he took the leap to leave the lab and move to the commercial side of things and has had a number of roles within the industry until 2017 he joined Agilent.</blockquote>

Agilent Technologies: HPLC Beginner Webinar Series

Single Quad mass detection for Chromatographers

We will look at the development of single quads together and highlight the possibilities offered by today's single quads and how they support the user.

Single Quad mass detection II

This session will explore detectors commonly used in polymer analysis (RID, UV, MALS, Viscometer), emphasizing their specific applications based on polymer types (Branched, Linear, high Mw, low Mw).We will discuss their roles in Mw determination, Quantitation, Viscosity measurement, and size and shape determination etc.&nbsp;<blockquote>Presenter: Ansuman Mahato (Product Specialist Liquid Phase Separations, Agilent Technologies)Ansuman has been a Product Specialist at Agilent Technologies for 14 years, working with the pharmaceuticals, biopharmaceuticals, food, and chemicals industries. Based in Waldbronn, Germany, the manufacturing site for Agilent’s chromatography solutions, he helps make labs more efficient and compliant and has rich experience with techniques like HPLC, UHPLC, GPC/SEC, Prep LC, and 2D-LC.Ansuman is also skilled in polymer analysis using advanced tools like viscometry and MALS. He has published many papers in international journals and is a popular speaker for his practical insights and innovative solutions.</blockquote>

GPC/SEC Detector Selection

This session will explore detectors commonly used in polymer analysis (RID, UV, MALS, Viscometer).

In this part of the course we will deal with sample preparation: why, how and which sample preparation is the most suitable for the target analyte?SPE, LLSE, or syringe filter?&nbsp;<blockquote>Presenter: Shaun Pritchard (Product Specialist Liquid Phase Separations, Agilent Technologies)Shaun Pritchard is a Product Specialist for separation products at Agilent Technologies covering the UK and Ireland. He started his career in 1989 working at a large Pharmaceutical company holding a number of roles, this is where he became passionate about HPLC finally in 1998 he took the leap to leave the lab and move to the commercial side of things and has had a number of roles within the industry until 2017 he joined Agilent.</blockquote>

Sample Preparation in HPLC

Why, how and which sample preparation is the most suitable for the target analyte?

When developing an LC method, there are various factors that can be tested to achieve the desired resolution and symmetry of the analytes.In this webinar we will discuss the various factors and give tips on developing a robust method.<blockquote>Presenter: Laura Montis (Product Specialist Liquid Phase Separations, Agilent)Laura began her carrier in the Liquid Chromatography over 15 years ago. After experiencing the pharmaceutical world in an analytical development lab, she went on to work with preparative chromatography and gained experience with Supercritical Fluid Chromatography prior to moving onto special HPLC applications, like 2DLC and Online LC.Throughout her career, Laura has held several positions, including application chemist, trainer, sales specialist, and marketing business development. She is currently Product Specialist for liquid phase chromatography systems within the International Distributor Organization in EMEA at Agilent Technologies.Laura studied analytical chemistry and holds a master’s degree from University of Lyon in France.</blockquote>

Method Development in HPLC

In this webinar we will discuss the various factors and give tips on developing a robust HPLC method.

This webinar will guide you through optimizing your Q-TOF for superior data quality by selecting the most suitable tune mode for your samples.We will delve into various MS acquisition modes, including MS only, All Ions (QRAI), Auto MS/MS (directed MS/MS; targeted MS/MS), and PRM mode.Learn how to fine-tune method settings to enhance your data quality and achieve the best analytical results. Whether you’re a seasoned user or new to QTOF, this session will provide valuable insights to elevate your mass spectrometry.<blockquote>Presenter: &nbsp;Stefan Schaebler (Application Specialist LC/MS, Agilent Technologies)Stefan completed his PhD in Biology, specializing in LC-MS-based lipidomics and metabolomics. Following his doctoral studies, he joined Agilent Technologies as an LC/MS Application Specialist. In this role, Stefan focuses on small molecule applications using LC-QTOF, with a strong emphasis on software tools and data interpretation.</blockquote>

Agilent Technologies: MassHunter Masterclass Months

MassHunter Acquisition Q-TOF Part II – Advance Settings

Join us for an in-depth exploration of advanced settings in MassHunter Acquisition for Q-TOF systems.

This webinar will guide you through optimizing your Q-TOF for superior data quality by selecting the most suitable tune mode for your samples.You will learn about the different optimisation workflows available within MassHunter Acquisition, including how to optimise Multiple Reaction Monitoring (MRM) methods for new compounds. We will also review key tools for creating and editing worklists, and discuss the benefits of Intelligent Reflex tools, demonstrating how they can be effectively implemented in your workflows.This webinar is designed to enhance your understanding and application of MassHunter Acquisition, ensuring you can achieve optimal performance in your analytical processes.<blockquote>Presenter: Day Powell (Field Application Specialist, Agilent Technologies)Day has worked for Agilent as an Environmental Application Specialist for over a year, before this he worked for United Utilities (UU) as a Technical Specialist responsible for developing new methodologies for both LC/MS and GC/MS applications. Day has worked with PFAS for several years and helped UU to UKAS accredit a novel method for 47 PFAS in drinking water using direct injection to address the latest DWI regulations. Presenter: Jonathan Spencer (Application Specialist, Agilent Technologies)Jonathan studied BSc Natural Sciences at the University of Nottingham and later went on to Sheffield Hallam University to study a MSc in Forensic Science.Following graduation, he spent 2 years as a Confirmatory Analyst in an anti-doping and forensic toxicology lab, before joining Agilent as an LC/MS Applications Scientist. At Agilent, he focuses on small molecule applications using LC/TQ and LC/Q-TOF in fields of like food, forensic and environmental analysis.</blockquote>

MassHunter Acquisition for LC/TQ and MRM Method Optimisation

This session will provide a comprehensive overview of the various aspects of MassHunter Acquisition for Liquid Chromatography/Triple Quadrupole (LC/TQ) systems.

We’ll explore how outlier setup can help you focus on samples and compounds that require your attention, ensuring accurate and reliable results.Additionally, you’ll learn how viewing compounds and calibration at a glance can expedite data review, making the process faster and more intuitive.Finally, we’ll demonstrate how easily you can summarize your results in comprehensive reports or export them to Excel, streamlining your workflow and enhancing productivity.Don’t miss this opportunity to enhance your data analysis skills with MassHunter Quant!<blockquote>Presenter: Peter Kornas (LC/MS Applikationsspezialist, Agilent Technologies)Peter Kornas has more than 10 years of experience in the development and validation of analytical methods for the determination of pesticides, mycotoxins and contaminants using LC/MS/MS. Before joining Agilent as an LC/MS application specialist in 2018, he worked as an analytical chemist in the food industry. During this time, he was responsible for the development and validation of analytical methods and worked in close coordination with Regulatory Affairs to ensure compliance with the legal requirements of the LC/MS method portfolio.</blockquote>

MassHunter Quant – A Fast and Easy Way from Data to Results

Join us and discover how quickly a quantitation method can be set up, enabling efficient data processing.

Join us for an insightful webinar where we will explore the critical aspects of differentiating good from bad data and how this distinction can significantly influence your results. From screening to quantification, discover the value of targeted data analysis workflows using non-targeted data with our innovative software and hardware.Find by Formula algorithm. Learn to identify the most suitable MS/MS approach for your experiments, initiate quantitation for your compounds of interest, and incorporate retention times (RTs) and MS/MS spectra into a custom database and library.This session is designed to enhance your understanding and application of Q-TOF data analysis, ensuring robust and reliable outcomes.<blockquote>Presenter: Hannah Florance (Agilent Technologies)Hannah has had multiple roles in the life sciences, starting as a protein chemist, before moving into proteomics and then metabolomics. A major part of her time working in academia involved running LC and GCMS core facilities supporting projects ranging from synthetic biology to cancer research. She is currently an LCMS applications specialist for Agilent. Presenter: Stefan Schaebler (Application Specialist LC/MS, Agilent Technologies)Stefan completed his PhD in Biology, specializing in LC-MS-based lipidomics and metabolomics. Following his doctoral studies, he joined Agilent Technologies as an LC/MS Application Specialist. In this role, Stefan focuses on small molecule applications using LC-QTOF, with a strong emphasis on software tools and data interpretation.</blockquote>

MassHunter Qual – The Solid Pillar in Q-TOF Data Analysis

We will explore the critical aspects of differentiating good from bad data and how this distinction can significantly influence your results.

LCMS webinars focusing on Academy/Principles | LabRulez LCMS