In our recent blog on <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/article/5662">selecting software for targeted MS quantitation</a>, we outlined five key criteria labs should evaluate: simplified workflows, flexible access, scalability, regulatory readiness, and MS-native capabilities. These principles increasingly define how labs operate today, where chromatography and mass spectrometry often work hand in hand to deliver confident results— and they are foundational to <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/76">Chromeleon 7.4 software</a>.This release reflects how analytical workflows are changing. Workflows are no longer confined to individual techniques or isolated systems. From development through QA/QC and regulated use, laboratories need consistency in how data is created, processed, reviewed, and governed across instruments, users, and sites.Chromeleon 7.4 software supports this evolution by bringing chromatography and mass spectrometry together within a single enterprise-ready environment, helping reduce variability, strengthen compliance, and scale operations without increasing complexity.<h3>1. Simplified data and workflow management</h3>Quantitative workflows can generate significant volumes of data, but challenges often begin earlier, during method development. In many labs, moving from exploratory method development into validated, routine analysis still requires rebuilding methods, switching systems, or reconfiguring workflows. This adds time, variability and risk.Chromeleon 7.4 software helps eliminate these barriers by supporting the entire analytical lifecycle — from method creation through routine acquisition, processing, and reporting, within a single, cohesive environment. This continuity reduces setup time, preserves consistency as methods evolve, and supports both development and high-throughput analysis.Enhanced visualization tools support confident decision-making. The fragment visualization pane displays MS² and MS³ fragments alongside chromatographic traces, while integrated isotopic pattern simulation enables rapid confirmation of expected results without relying on external tools.Together, these capabilities reduce workflow reconfiguration, enabling laboratories to minimize variability and reduce the risk of errors introduced during method transfer or routine deployment.<blockquote>See this in practice – <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5321">Extending the dynamic range of GLP-1 quantitation using the Thermo Scientific Stellar MS and Chromeleon software</a></blockquote><h3>2. Connected, controlled, and collaborative</h3>Today’s laboratories rarely operate under one roof. Whether across departments or global sites, teams need to collaborate while maintaining data integrity and compliance.With centralized data access and flexible remote control, Chromeleon 7.4 software enables secure collaboration. The Business Continuity Repository enhances existing network failure protection by replicating key files locally, allowing uninterrupted operation even during server outages. Analysts stay productive, and data remains protected.This flexibility supports hybrid work models, multi-site operations, and continuous productivity — all without compromising data control.<blockquote>Learn more in our recent webinar – <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5232">Targeted MS quantitation – controlled and accessed from anywhere</a></blockquote><h3>3. Designed for modern, scalable workflows</h3>As analytical workloads grow and diversify, software must scale seamlessly across instruments, users, and sites.Chromeleon 7.4 software integrates advanced MS workflows into a single platform that also supports multiple separation techniques including LC, GC, IC and CE. This allows laboratories to standardize how data is acquired, processed, reviewed, and managed.Standardizing workflows within one platform reduces reliance on disconnected systems, supporting operational consistency and simplifying oversight for QA and IT teams. Centralized administration supports coordinated updates and uptime, while open integration capabilities enable connection to broader digital ecosystems such as LIMS.<h3>4. Designed with compliance in mind</h3>In regulated environments, compliance can’t be an afterthought — it must be built into the foundation. This Chromeleon release strengthens its already robust compliance framework with features that promote transparency, integrity, and control throughout the analytical lifecycle.Built-in support for system suitability testing and controlled processing helps ensure consistent method performance throughout routine use. Enhanced audit trail policies improve visibility into data changes, while processing visibility controls ensure results are viewable only once saved — reinforcing traceability and data integrity.By embedding quality and control into analytical workflows, Chromeleon software reinforces transparency and confidence across the data lifecycle. These capabilities support alignment with 21 CFR Part 11, EU Annex 11, and GxP guidelines — without relying on external tools or manual workarounds.<blockquote>Discover how – <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5583">Safeguard dataset quality in LC-MS analysis with system suitability testing and intelligent run control</a></blockquote><h3>5. Enterprise-ready platform</h3>As laboratories expand across departments and global sites, consistency becomes as important as capability.Chromeleon software is designed to support enterprise operations through centralized administration, standardized governance across chromatography and MS workflows, data continuity protection via the Business Continuity Repository, and integration readiness with laboratory informatics ecosystems such as LIMS.By consolidating workflows within a single CDS environment, laboratories can coordinate updates, maintain operational consistency, and support growing analytical demands — without relying on disconnected systems.<h3>Why now?</h3>Laboratories are under increasing pressure to manage growing data volumes, support multiple techniques, and meet rising compliance expectations — often with limited resources.As workflows expand across teams and sites, laboratories need software that is reliable, scalable, and flexible enough to support both routine and advanced analysis without adding operational complexity.<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/76">Chromeleon software</a> helps organizations meet these demands by providing a single, enterprise-ready platform for acquiring, managing, reviewing, and trusting analytical data — across chromatography and mass spectrometry alike.<ul><li>To explore how these capabilities come together in real-world workflows, take a look at our recent webinars and experience <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/content/lifetech/global/en/home/industrial/chromatography/chromatography-data-systems-cds/cds-software-built-mass-spectrometry.html">Chromeleon 7.4 software</a> in action. &nbsp;</li><li>Visit us on&nbsp;<a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/showcase/72003132/admin/dashboard/">LinkedIn:</a>&nbsp;#Chromeleon #MS #Chromatography #Compliance</li></ul>

Purpose-Built Software for Quantitation Workflows – Solving Data, Compliance, and Collaboration Challenges

The standard uncertainty arising from random effects is often derived from repeated experiments and is quantified in terms of the standard deviation s of the measured values of the quantity. If it is the standard uncertainty arising from random effects on a single measurement that is required, then the observed standard deviation s is used without change. However, for a result which is the mean x of n measurements the standard uncertainty decreases as n increases, so that:<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Using_repeated_measurements_to_improve_the_standard_uncertainty_equation_1_19f8f07f8f.jpg" alt="Eurachem: Using repeated measurements to improve the standard uncertainty - Equation 1" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Using_repeated_measurements_to_improve_the_standard_uncertainty_equation_1_19f8f07f8f.jpg 245w," sizes="100vw" width="485" height="138">Example 1 shows how Eq (1) applies when estimating the uncertainty of a mean value, but not when considering the uncertainty of individual observations.<blockquote>Example 1 A volumetric pipette is calibrated with 12 measurements; the mean and the standard deviation are calculated. Eq. 1 applies to estimate the standard uncertainty of the mean value. However, when using the pipette to deliver one aliquot, Eq. 1 does not apply and the standard uncertainty due to random variation on this single measurement is the standard deviation s</blockquote>For Eq (1) to be valid, it is a requirement that all the measurements are independent and from a stable test sample under the same measurement conditions. The measurement conditions for all the measurements could be, for example, 1) repeatability conditions, 2) intermediate precision (within laboratory reproducibility) conditions or 3) reproducibility conditions&nbsp;It is very important to be aware that the standard uncertainty given by Eq. 1 only gives the estimated uncertainty due to random variation under the conditions of measurement under which the observations were taken, and is only strictly valid for independent observations.&nbsp;It can be hard to decide whether observations are sufficiently independent for Eq. 1 to apply, as there is no simple, general, rule. The following paragraphs therefore give examples of different circumstances to help identify circumstances when Eq. 1 can safely be used.<h3>Example where Equation (1) applies&nbsp;</h3><h4>Measurement of inhomogeneous samples&nbsp;</h4>If inhomogeneity for test samples is a major part of the uncertainty the analyst may choose to measure more test portions from each test sample in order to reduce the standard uncertainty. If all these measurements are made under repeatability conditions, i.e. the same measurement conditions following the whole procedure, including repeated random sampling from the test sample, the standard deviation of the mean, given by Eq. (1), should be used to estimate the uncertainty arising from variation under repeatability conditions.&nbsp;<h3>Examples where Equation (1) does not apply&nbsp;</h3>The following paragraphs give two examples where neither the standard deviation nor the standard deviation of the mean can be directly applied without further analysis of the data.&nbsp;<h4>Measurements taken in groups&nbsp;</h4>One example is when we have data from internal quality control from a measurement procedure that includes a calibration before analysis each day. We want to calculate the standard uncertainty of the mean value used to set the central line in the QC chart. The data consist of duplicate QC measurements performed on a stable test sample each day over a longer period of time (say, p days), giving a total of 2p observations; that is, p groups of two measurements. Because each pair of duplicate measurements has a single calibration error in common; the duplicates within the data set are not strictly independent and Eq. (1) cannot be directly used for all 2p observations. The uncertainty of the mean can most easily be calculated by taking the standard deviation of the p means for each day and dividing that standard deviation by √p . Analysis of variance can also be useful in similar cases. Similar principles apply to other kinds of grouping, including grouping by operator, instrument etc.&nbsp;<h4>Measurement when the test item or measurement system is not stable over time</h4>Another common example is time dependent data. The time dependence could be due to instrument drift or to actual change in concentration by time. In such cases the error for a given observation is partly random and in part ‘carried over’ from the previous observation. Again the errors affecting each observation are not independent because some part of the error is common to successive observations; Eq. (1) can not be used and more complex statistical techniques, that allow for correlation, must be used to process the data.&nbsp;For further guidance on the treatment of correlated data in uncertainty evaluation, see Eurolab Technical Report 1/2006: Guide to the Evaluation of Measurement Uncertainty for Quantitative Test Results, Appendix A.5

Using repeated measurements to improve the standard uncertainty

Unknown identification by LC-MS/MS has become increasingly challenging as laboratories encounter more compounds, adducts, metabolites, contaminants, and transformation products. NIST26 provides a powerful integrated workflow that combines chromatographic processing, accurate-mass measurements, isotopic fidelity, and one of the world's largest curated <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2462">MS/MS spectral libraries </a>to improve confidence in compound identification. With the V4.0 (2026) release, NIST has integrated chromatogram-level analysis directly into its MS/MS library search program. This is a significant advance that could position MS/MS libraries as central to LC-MS workflows as EI libraries have long been for GC-MS.A very significant increase is found in the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2462">new MS/MS libraries</a>. &nbsp;The library now included over 68,600 compounds, 567,000 precursor ions, and 3.2 million MS/MS spectra.If you are beginning today, NIST26 is the recommended version.However, if your laboratory is using NIST20 or NIST23, these courses remain highly relevant. The core principles of LC-MS/MS unknown identification—including spectral library searching, structure searching, MS Interpreter, and building personal libraries—have remained somewhat consistent across all three releases. Once these concepts are understood, moving to NIST26 is straightforward. &nbsp;This course focuses on the new capabilities introduced in NIST26 while building upon the same proven identification strategies developed in the earlier releases.The workflow now supports XIC-based analysis, enhanced hybrid searching, background MS2 filtering, and combined MS1/MS2 identification, enabling deeper interrogation of LC-MS/MS datasets which initially described in the XIC-reference journal article spectra noted in the Resources. &nbsp;Together, the new LC-MS/MS analysis capabilities and the major expansion of the NIST MS/MS library create a powerful combination for compound identification. &nbsp;In addition, multiple libraries can be searched including free public and user libraries when available in NIST format.Many topics in the documentation (Videos and Handouts) previously written for V3.0 and V2.4 will still be useful to new users of the NIST Search Software. Also, data can still be imported from <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=masshunter">Agilent MassHunter</a> and Thermo FreeStyle, but that process is very ineffective compared to the new integrated approach in NIST V4.0.<blockquote>You can look forward to the first part (Processing LC-MS/MS Data in the NIST26 Chromatogram Window) as early as next week!</blockquote>

NIST26 Advanced Course LC-MS/MS Identifications of Unknowns

Software

Article

Product

Academy

Video

A unique company dedicated to serving science helping our customers drive productivity and accelerate results. Through our premier brands – Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific and Unity Lab Services.

Thermo Fisher Scientific

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

Eurachem

My main interest is the identification of organic compounds by mass spectrometry in organic mixtures.

James Little/Mass Spec Interpretation Services

Metrohm

Milestone

Waters Corporation

In this webinar, Dr Thomas Touzalin introduces analog scan for cyclic voltammetry and how it compares to the more common staircase voltammetry.
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Presenter: Thomas Touzalin, PhD (Product manager, Metrohm Autolab)
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Analog scan

Analog scan for cyclic voltammetry and how it compares to the more common staircase voltammetry.

This webinar covers the basic design and working principle of Li-ion batteries, measureable parameters, and a brief introduction to Electrochemical Impedance Spectroscopy (EIS).
Presented by Deutsche Metrohm Product Manager, Sandro Haug this webinar includes an experiment showing how to measure at two different temperatures.
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Presenter: Sandro Haug (Product manager, Electrochemistry)
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Li-ion batteries

Basic design and working principle of Li-ion batteries, measureable parameters, and a brief introduction to Electrochemical Impedance Spectroscopy (EIS).

In this webinar, Deutsche Metrohm Product Manager, Sandro Haug introduces compliance voltage in two and three electrode setups.
He will discuss the impact of separators and diaphragms on compliance voltage, as well as the requirements for potentiostats used for electrolysis and electrosynthesis applications.
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Presenter: Sandro Haug (Product Manager Electrochemistry)
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Compliance voltage

Impact of separators and diaphragms on compliance voltage, as well as the requirements for potentiostats used for electrolysis.

In this webinar, Larry Tucker and Dr. Julia van Drunen discuss corrosion monitoring, prevention and mitigation as well as the application of electrochemical methods to measure and monitor corrosion in different environments, including the flow conditions encountered in pipes.
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Presenter: Larry Tucker (Director of Norms and Standarts, Metrohm USA)
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Presenter: Julia van Drunen, PhD (Area Sales nad Marketing Manager, Metrohm Autolab)
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Metrohm: Corrosion prevention and analysis

Corrosion prevention and analysis

Corrosion monitoring, prevention and mitigation as well as the application of electrochemical methods to measure and monitor corrosion.

This webinar presents solutions for advanced electrocatalysis (ECAT) research and applications.
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Presenter: Julia van Drunen, PhD (Area Manager, Metrohm Autolab, Nl)
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Presenter: Pietro Lopez, PhD (Staff Scientist Argonne National Lab, USA)
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Metrohm: Electrocatalysis research and applications

Electrocatalysis research and applications

 Solutions for advanced electrocatalysis (ECAT) research and applications.

Watch this webinar to learn more about fast, simple, and sensitive electrochemical biosensing using screen-printed electrodes.
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Presenter: Susana Campuzano, PhD (Asst. Professor, Universidad Complutense de Madrid)
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Presenter: Laura Fernández Llano, PhD (Product Manager, Dropsens)
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Metrohm: Biosensing with screen-printed electrodes

Biosensing with screen-printed electrodes

Learn more about fast, simple, and sensitive electrochemical biosensing using screen-printed electrodes.

Watch this webinar to learn more about common non-destructive electrochemical corrosion techniques.
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Presenter: Julia van Drunen, PhD (Area Manager, Metrohm Autolab B.V.)
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Presenter: Luis F. Garfias, PhD (Consultant, Enviromental and Corrosion Testing of Materials, LLC)
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Metrohm: Corrosion Tests: Non-destructive methods

Corrosion Tests: Non-destructive methods

Learn more about common non-destructive electrochemical corrosion techniques.

Peak Purity analysis is a critical step in your chromatography workflow, but how do you know if you have something coeluting with your peak(s) of interest? &nbsp;When you are developing a method, performing quality control during routine analysis, or monitoring ongoing performance of a method for method lifecycle management you can leverage peak purity, sometimes referred to as spectral purity, to help you. &nbsp;During this live webinar we will explore the usage of both PDA and QDa mass detectors to determine peak purity. &nbsp;Please join us to learn more!<blockquote>Presenter: Neil Lander (Principal Product Manager, Informatics, Waters Corporation)Neil has worked for Waters Corporation since 1994 and has held a variety of positions including Technical Support Specialist, Technical Trainer, Manager Customer Education and currently, Principal Marketing Manager focusing on Informatics solutions. He provides internal support for Empower Chromatography Data System and is focused on developing laboratory software solutions that help organizations achieve their scientific and operational objectives. Prior to joining Waters, he was an analytical chemist where he gained experience in both the cosmetics and specialty chemical industries.</blockquote>

Waters Corporation: Empower Tips: Ask Me Anything About Streamlining Your Peak Purity Workflow with Empower using the PDA and QDa Mass Detector

Empower Tips: Ask Me Anything About Streamlining Your Peak Purity Workflow with Empower using the PDA and QDa Mass Detector

Learn how to assess peak purity using PDA and QDa detectors for method development, QC, and lifecycle management. Join our live webinar to explore the tools.

Empower Peak Purity with PDA & QDa Detectors

R&amp;D groups are involved in the design of novel materials for drug delivery systems, food containers, plastics, and polymers. &nbsp;There is a need to have a highly efficient way to process and interpret the data generated when testing these materials. &nbsp;The Empower GPC/SEC option can streamline the required generation of molecular weights and molecular weight distributions. &nbsp;Adhering to the pre-manufacture notification submission, including low value exemption, is often required. &nbsp;You can leverage the Empower GPC option to automatically report the percentage of the polymer below the specified molecular weight needed for the submission.Please join us for this live discussion to learn more and bring your questions, you can ask us anything related to Empower!<blockquote>Presenter: Neil Lander (Principal Product Manager, Informatics, Waters Corporation)Neil has worked for Waters Corporation since 1994 and has held a variety of positions including Technical Support Specialist, Technical Trainer, Manager Customer Education and currently, Principal Marketing Manager focusing on Informatics solutions. He provides internal support for Empower Chromatography Data System and is focused on developing laboratory software solutions that help organizations achieve their scientific and operational objectives. Prior to joining Waters, he was an analytical chemist where he gained experience in both the cosmetics and specialty chemical industries.</blockquote>

Waters Corporation: Empower Tips: Ask Me Anything About Streamlining your Polymer Workflow using the Empower GPC Option

Empower Tips: Ask Me Anything About Streamlining your Polymer Workflow using the Empower GPC Option

Streamline polymer analysis with Empower GPC/SEC. Automate molecular weight reporting to support R&D and regulatory submissions like low value exemptions.

Streamlining Polymer Workflow using Empower GPC Option

Sample preparation is a routine step in many analyses, but it’s often underestimated. Choosing the right sample preparation step is fundamental, as it can prevent contamination, improve accuracy, and minimize the risk of skewing the results. Despite that, most of the methods applied to fats and oils sample preparation are still tied to traditional, time- and solvent-consuming procedures. The complexity of the food matrices led to challenging sample preparation, for example, the time-consuming saponification. Over the years traditional techniques have been improved, but they are still relying on ancient technologies, so now laboratories are seeking new approaches to ensure fast, rugged, and reproducible analysis of food.Microwave assisted solvent extraction (MASE) and microwave assisted saponification (MAS) offer a reliable and efficient approach to sample preparation. Several processes can take advantages from microwave heating, reducing time and solvent consumption, enabling the lab to have a greener and more cost-effective approach. In this section some examples will be reported ranging from extraction of contaminants (MOAH and MOSH), to saponification and extraction of DAKs and sterols, to fatty acid methyl ester profile determination from foodstuff.<blockquote>Speaker: Dr. Diego Carnaroglio, Business Development &amp; Application Manager at MilestoneSpeaker: Prof. Giorgia Purcaro, Gembloux, Agro-Bio Tech, University of Liège, BelgiumSpeaker: Dr. Roberto Boschini, Product Manager at Milestone</blockquote>

Milestone: Microwave-assisted solvent extraction: A powerful tool to tackle sample preparation challenges

Microwave-assisted solvent extraction: A powerful tool to tackle sample preparation challenges

Learn how microwave-assisted extraction and saponification improve fats and oils sample preparation, cutting time and solvents.