<p><strong>Eurachem and CITAC welcome analysts interested in the evaluation of chemical analysis uncertainty and in how to use this information in results interpretation. The Eurachem Week 2026 will begin with a training course on “Evaluation of the measurement uncertainty from in-house precision and recovery data” scheduled for Sunday, 10 May 2026. A two-days workshop on “Quality in Analytical Measurements: Uncertainty Evaluation and Results Interpretation” open to all interested participants will take place from 11 to 12 May 2026. On 13 May 2026, the Eurachem Working Groups will convene, followed by the Eurachem General Assembly, which will bring together the Executive and national delegates on 14 and 15 May. Both Working Group Meetings and the General Assembly are restricted to their members.</strong></p><p>The results of qualitative and quantitative chemical analyses should have an acceptable uncertainty, which should ideally be reported and considered in results interpretation.</p><p>For many analytical applications, simplified uncertainty evaluations can determine uncertainty values that meet the defined requirements for this parameter. The workshop will focus on the key technical challenges involved in practical evaluations of measurement uncertainty based on precision and recovery data gathered during in-house method validation and quality control. There will be a discussion of how to model the variation of the measurement uncertainty within the analytical range and how to handle divergent recovery values from the analysis of various reference materials. A session on the use of measurement uncertainty in conformity assessment will explore how the risk of false conformity decisions can be managed.</p><blockquote><h5><strong>New Eurachem guidance on using in-house precision and recovery data will be discussed at the workshop.</strong></h5></blockquote><p>Topics will also include the validation and uncertainty evaluation for qualitative analyses with particular attention to current accreditation requirements for these types of analysis. The last session of the workshop will be dedicated to the evaluation of measurement uncertainty arising from sampling and using it to judge the fitness for purpose, and hence validation, of measurement procedures that include sampling. Four sessions of the workshop will include engaging breakout sessions where participants will have the chance to share their views about challenging aspects of the analytical work. Participants are invited to propose posters and oral communications on session topics or any other relevant topic for analytical chemists or stakeholders of the analytical work.</p><h3><strong>Registration</strong></h3><blockquote><p class="cke-user_style-important"><strong>👉</strong><a target="_blank" rel="noopener noreferrer" href="https://conferences.chemistry.pt/register/eurachem2026"><strong>Register here for the workshop</strong></a></p></blockquote><h4><strong>Registration Fees</strong></h4><h5><strong>Early bird (EUR) - Until April 15th</strong></h5><ul><li><strong>Workshop: Regular participant (11 &amp; 12 May 2026): </strong>400 EUR</li><li><strong>Workshop: Student (11 &amp; 12 May 2026): </strong>250 EUR</li><li><strong>Eurachem Working Group<sup>1</sup> (13 May 2026):</strong> 75</li><li><strong>General Assembly<sup>2</sup> (14 &amp; 15 May 2026): </strong>250</li><li><strong>Training On Uncertainty Evaluation<sup>3</sup> (10 May 2026):</strong> 150</li></ul><h5><strong>After April 15th</strong></h5><ul><li><strong>Workshop: Regular participant (11 &amp; 12 May 2026): </strong>450 EUR</li><li><strong>Workshop: Student (11 &amp; 12 May 2026):</strong> 300 EUR</li><li><strong>Eurachem Working Group<sup>1</sup> (13 May 2026): </strong>100</li><li><strong>General Assembly<sup>2</sup> (14 &amp; 15 May 2026):</strong> 300</li><li><strong>Training On Uncertainty Evaluation<sup>3</sup> (10 May 2026): </strong>200</li></ul><blockquote><p>§ - <strong>50 EUR reduction for members of Eurachem</strong>, CITAC, SPQ, RELACRE, ForMEQ and SPMet at the workshop.</p><p>10% reduction for organisations that registered more than one participant.</p><p><sup>1 </sup>- Working group members</p><p><sup>2</sup> - Eurachem members</p><p><sup>3</sup> - 50% reduction for workshop participants</p></blockquote><h3><strong>Workshop</strong></h3><h4><strong>Eurachem/CITAC Workshop on Quality in Analytical Measurements:</strong></h4><h5><strong>Uncertainty Evaluation and Results Interpretation</strong></h5><p>The results of qualitative and quantitative chemical analyses should have an acceptable uncertainty, which should ideally be reported and considered in results interpretation. For many analytical applications, simplified uncertainty evaluations can determine uncertainty values meeting defined requirements for this parameter. The workshop will focus on the key technical challenges involved in practical evaluations of measurement uncertainty based on precision and recovery data gathered during in-house method validation. It will be discussed how to model the variation of the measurement uncertainty within the analytical range and how to handle divergent recovery values from the analysis of various reference materials. A session on the use of measurement uncertainty in conformity assessment will explore how the risk of false conformity decisions can be managed.</p><p>Topics will also include the validation and uncertainty evaluation of qualitative analyses with particular attention to current accreditation requirements for these types of analysis. The last session of the workshop will be dedicated to the evaluation of measurement uncertainty arising from sampling and using it to judge the fitness for purpose, and hence validation, of measurement procedures that include sampling.</p><p>Four sessions of the workshop will include engaging breakout sessions where participants will have the chance to share their views about challenging aspects of the analytical work. Participants are invited to propose posters and oral communications on session topics or any other relevant topic for analytical chemists or stakeholders of the analytical work.</p><h3><strong>Training Course</strong></h3><h4><strong>Evaluation of the measurement uncertainty from in-house precision and recovery data</strong></h4><ul><li>10 May 2026</li></ul><p>A course on the fundamentals of the evaluation of the measurement uncertainty from in-house precision and recovery data will be held on Sunday, 10 May 2026. This training is targeted for analysts with a basic understanding of the measurement uncertainty concept, how uncertainty components propagate, and how the combined uncertainty is expanded. Following the morning presentation of the theory of uncertainty evaluation, the afternoon will be dedicated to applying the theory to real-world cases. Trainees should have basic skills in using Microsoft Excel spreadsheets and bring a laptop with Microsoft Excel to complete the exercises. The interaction between trainers and trainees will be promoted to guarantee learning efficiency.</p><h5><strong>Trainers:</strong></h5><ul><li>Ricardo Bettencourt da Silva, Faculdade de Ciências da Universidade de Lisboa, Portugal (rjsilva@ciencias.ulisboa.pt)</li><li>Stephen L. R. Ellison - UK National Measurement Laboratory (NML) hosted at LGC, United Kingdom</li><li>Vicki Barwick - UK National Measurement Laboratory (NML) hosted at LGC, United Kingdom</li></ul><h4><strong>Agenda</strong></h4><h5><strong>8:00 Registration</strong></h5><h5><strong>9:00 Opening</strong></h5><h5><strong>9:05 Identifying, combining, and expanding uncertainty components: Theory and examples</strong></h5><h5><strong>9:45 Precision uncertainty: Theory and examples</strong></h5><h5><strong>10:30 </strong>Coffee break</h5><h5><strong>10:50 Trueness-related uncertainty: Theory and examples</strong></h5><h5><strong>12:00 Additional questions and discussion</strong></h5><h5><strong>12:30 </strong>Lunch</h5><h5><strong>13:30 Application example 1</strong></h5><h5><strong>15:30 </strong>Coffee break</h5><h5><strong>15:50 Application example 2</strong></h5><h5><strong>17:00 Additional questions and discussion</strong></h5><h5><strong>17:30 Closing</strong></h5><h3><strong>Venue</strong></h3><p>The series of Eurachem events will be held in:</p><ul><li>Meliã Lisboa Aeroporto ****</li><li>Rua C,2 1749-125 Lisboa, Portugal&nbsp;</li></ul>

Eurachem/CITAC Workshop on Quality in Analytical Measurements 2026

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 9th February 2026? Check out new documents from the field of spectroscopy/spectrometry and related techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> libraries.</p></blockquote><p>This week we bring you application notes by <strong>Agilent Technologies</strong>, <strong>Metrohm,</strong> <strong>Shimadzu </strong>and<strong> Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies: Black Pepper Origin Differentiation Using Large ICP-MS Datasets and Chemometric Tools</strong></h3><p><strong>Elemental profiling using an </strong><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=1&amp;search=7850+ICP-MS"><strong>Agilent 7850 ICP-MS</strong></a><strong> and Agilent </strong><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=1&amp;search=Mass+Profiler+Professional+software"><strong>Mass Profiler Professional (MPP) software</strong></a></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_black_pepper_origin_7850_icp_ms_5994_8741en_agilent_7c190968ef.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Black pepper’s high value and global demand are drivers for economically motivated adulteration, a fraudulent practice that can pose public health risks. Because black pepper is most often sold in ground, crushed, or mixed forms, its supply chain is difficult to monitor and manage. Also, consumer campaigns against deforestation and the European Union Regulation on Deforestation-free (EUDR) products have increased calls for greater sourcing transparency. Products with a known geographical indication can demand a higher price. Companies do not want to become implicated in false claims about the sourcing of products, and many are keen to have full visibility of their products’ origin. To address this need, the European Commission has established the Protected Geographical Indication (PGI) system to protect regional specific products, thereby promoting their unique characteristics based on geographical origin and traditional competence of production. The PGI scheme has increased the demand for detailed information regarding the geographical source of food products, a trend that is likely to continue as EUDR is implemented across the EU and associated markets. Verifying the geographical origin of black pepper using elemental fingerprints is highly relevant to protecting value chain stakeholders, ensuring both quality and traceability while upholding the principles of food integrity.&nbsp;</p><p>Several analytical methods can be used for profiling certain elements in foods. However, inductively coupled plasma mass spectrometry (ICP-MS) is unique because of its rapid throughput, multi-element capability, ultratrace sensitivity, isotopic analysis, versatility across sample types, low sample volume requirements, compliance with regulatory requirements, and low cost.<sup>3</sup>&nbsp;</p><p>The Agilent 7850 ICP-MS is equipped with an Octopole Reaction System (ORS4 ), a collision/reaction cell (CRC) that uses helium (He) gas and Kinetic Energy Discrimination (KED) to remove polyatomic interferences on key analytes.<sup>4</sup> If left unchecked, these interferences can affect data accuracy in complex food products. The integration of the 7850 with Agilent ICP-MS MassHunter software streamlines data analysis. When integrated with chemometric analysis, ICP-MS demonstrates high precision in multi-elemental profiling of diverse food matrices, effectively distinguishing their geographical origin.<sup>5</sup>&nbsp;</p><p>In this study, 150 black pepper samples from five countries (Brazil, Cambodia, India, Indonesia, Vietnam) were analyzed using the 7850 ICP-MS to obtain elemental fingerprints of the samples. Agilent Mass Profiler Professional (MPP) software was used to process the ICP-MS elemental data and to construct chemometric models for distinguishing the geographical origin of the samples, as adapted from Chilaka et al.<sup>5</sup></p><h4><strong>Experimental&nbsp;</strong></h4><h5><strong>Instrumentation&nbsp;</strong></h5><p>An <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=1&amp;search=7850+ICP-MS"><strong>Agilent 7850 single-quadrupole ICP-MS</strong></a> was used for the analysis of 38 elements in the black pepper samples. Sample introduction was performed via a peristaltic pump connected to an Agilent MicroMist nebulizer and an Agilent SPS 4 autosampler. All elements were measured using helium collision (He KED) mode, except for boron (B), which was analyzed in no gas mode. Instrument control was performed using <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=1&amp;search=MassHunter"><strong>Agilent ICP-MS MassHunter 5.1 software</strong></a>, and data processing was conducted using <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=1&amp;search=Mass+Profiler+Professional+software"><strong>Agilent MPP software</strong></a>, version 15.1. Instrument operating conditions as shown in Table 1.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>This study investigated the potential of ICP-MS elemental profiling coupled with chemometric analysis for geographical origin discrimination of black pepper samples from five countries, including Brazil, Cambodia, India, Indonesia, and Vietnam. A total of 38 elements was measured in 150 black pepper samples using the Agilent 7850 ICP-MS. Chemometric analysis was performed on the ICP-MS elemental data using Agilent Mass Profiler Professional (MPP) software. The PCA analysis exhibited satisfactory reliability and classification rates and demonstrated potential for the authentication of the geographical origin of black pepper. However, the separation of the Cambodian and Vietnamese samples was less distinct than the other groups, revealing potential similarities in elemental profiling between the bordering countries, which share similar climatic, geological, and agricultural conditions. Using LDA and RF classification models on the black pepper test set, we achieved a high overall accuracy in determining the geographical origin of the samples. These findings provide empirical support for the combined use of elementomics and chemometric techniques in black pepper authentication, contributing to fraud prevention. The study also demonstrates the potential of the method for application to other food types.</p><h3><strong>2. Metrohm: Milk powder analysis by near-infrared spectroscopy</strong></h3><p><strong>Determination of moisture, fat, lactose, and protein content</strong></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_nir_128_download_867321cfb0.pdf"><strong>Full PDF for download</strong></a></li></ul><p>For milk powder producers, final product control is essential to meet strict regulatory standards, guarantee comprehensive quality assurance, ensure consistent nutritional quality, and extend shelf life. These are all especially important for infant formula and dairy ingredients used in sensitive applications. Near-infrared spectroscopy (NIRS) is a fast, reagentfree method for measuring key quality parameters such as moisture, protein, lactose, and fat content directly in milk powder. The NIRS solution requires no sample preparation, enabling real-time monitoring either in the lab or directly on the production line. This allows producers to react quickly to process variations, minimize waste, and maintain product integrity batch after batch.</p><h4><strong>EXPERIMENTAL EQUIPMENT&nbsp;</strong></h4><p>More than 600 samples of powdered milk from different suppliers were analyzed on an <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=56&amp;search=OMNIS+NIR"><strong>OMNIS NIR Analyzer</strong></a> (Figure 1). The different milk powders were placed into an OMNIS sample cup and analyzed in diffuse reflection mode. To include sample variety, the sample rotated during measurement to collect spectra from different locations. The automatically averaged spectra were used for model development. Reference values were obtained by official methods, e.g., AOAC 927.05 (moisture), AOAC 939.02 (protein), and AOAC 932.06 (fat). For the lactose content determination, a phenol-sulfuric acid method was used.</p><h4><strong>CONCLUSION</strong></h4><p>This Application Note presented the analysis of milk powder using NIR spectroscopy. Models for several quality parameters (fat, protein, lactose, and moisture content) were created. Independent validation samples confirmed the robustness and reliability of the models, with high correlation coefficients and low prediction errors achieved across all parameters. Notably, the dataset included samples from diverse global origins, capturing a broad range of product variability. This study shows that NIRS can be successfully integrated into the quality control workflow for dairy powder analysis.</p><h3><strong>3. Shimadzu: Analysis of Electrolyte and Electrode in LIB Degraded by Overcharge and High Temperature</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01064_en_b4f9f4330a.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>User Benefits</strong></h4><ul><li>ICP-AES enables accurate quantification of cathode material dissolved in electrolytes.</li><li>GC-MS assesses degradation from components in electrolytes with unknown usage.</li><li>EDXRF easily evaluates transition metals, phosphorus, fluorine, and other elements deposited on electrodes</li></ul><p>When lithium-ion batteries are used in EVs or ESS applications, numerous cells are connected in series and parallel to form modules, and multiple modules are further connected to construct a pack. In such configurations—where many cells are connected in series—the state of charge of individual cells varies, as shown in Figure 1. Moreover, because the cells are densely packed to reduce volume, the ambient temperature experienced by each cell also varies. In this application, we conducted cycle tests under overcharged or high-temperature conditions, disassembled the degraded pouch cells, and analyzed both the electrolytes and the electrodes.</p><h4><strong>Analysis of electrolyte and electrode</strong></h4><p>Electrolytes and electrodes were extracted from the batteries degraded through the cycle tests (hereafter referred to as “degraded cells”) and analyzed using the instruments shown in Figures 3–5. It is known that electrolytesin degraded cells contain transition metals (Ni, Co, Mn) dissolved from the cathode active material1). In addition, electrolyte solvents are known to generate characteristic degradation products as deterioration progresses2). By analyzing these degradation-related elements and compounds, the degradation state of the battery can be assessed. In this article, we propose a multifaceted evaluation of electrolytes using <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=3&amp;search=ICPE-9820"><strong>ICP-AES</strong></a> and GC-MS. On both the cathode and anode, insulating layers known as CEI/SEI form on the electrode surfaces. Under improper charging conditions, excessive formation of these layers can lead to capacity loss. Furthermore, the dissolved metals from the cathode deposit and precipitate on the anode. These deposits can cause internal short circuits, posing risks such as fire hazards. While such electrode conditions are typically evaluated by ICP-AES or XPS to examine elemental content or surface chemical states, this article introduces a simpler evaluation method using <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=3&amp;search=EDX-8100"><strong>EDXRF</strong></a>.</p><h4><strong>Summary</strong></h4><p>Analysis of the electrolytesfrom degraded batteries using ICP-AES and GC-MS revealed dissolution of transition metals as well as the formation of degradation products. Furthermore, EDXRF analysis of the electrodes enabled straightforward detection of changesin elemental composition, including transition metals, fluorine, and phosphorus. These analytical techniques allow for a multifaceted evaluation of battery degradation. In real-world battery operation, fluctuations in charging conditions and ambient temperature introduce variability in degradation states. By assessing degradation mechanisms individually, as demonstrated in thisreport, it is possible to obtain insights that contribute not only to improving intrinsic battery performance but also to optimizing implementation methods and control conditions.</p><h3><strong>4. Thermo Fisher Scientific: Analyzing Spinel refractory MgO-Al2O3 premix using </strong><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=2&amp;search=ARL%E2%84%A2+X%E2%80%99TRA+Companion"><strong>ARL X’TRA Companion XRD</strong></a></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/spinel_refractory_xrd_an41525_en_75f2527e78.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Spinel refractories—primarily magnesia–alumina (MgAl₂O₄)— are the workhorses of high-temperature linings in steel ladles, cement rotary kilns, glass tanks, and non-ferrous smelters. Their appeal lies in a combination of shock resistance, chemical stability against basic slags, and an expansion behavior that mitigates cracking. Depending on the duty, they are used as bricks, castables, or gunned repairs, sometimes with engineered microstructures that blend spinel with periclase, corundum, or zirconia to tune creep, corrosion, and spalling performance.&nbsp;</p><p>X-ray diffraction (XRD) underpins manufacturing control from raw mix to fired product. During synthesis, XRD tracks the solid-state reaction of MgO and Al₂O₃ into spinel, verifying the disappearance of periclase and alumina and quantifying the spinel fraction by Rietveld analysis. Lattice parameters reveal cation stoichiometry and solid-solution effects; peak breadth trends indicate crystallite growth and microstrain, proxies for sintering progress. In finished components, XRD detects secondary phases such as calcium aluminates introduced by binders, slags, impurities, and it provides fingerprinting for batch-to-batch consistency after thermal exposure. Embedded into routine QA/QC, XRD shortens feedback loops, stabilizes recipes, and links processing conditions to the microstructure that governs refractory life.</p><h4><strong>Instrument &amp; software&nbsp;</strong></h4><p>The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?manufacturerItems=2&amp;search=ARL%E2%84%A2+X%E2%80%99TRA+Companion"><strong>Thermo Scientific™ ARL™ X’TRA Companion</strong></a> X-Ray Diffractometer (c.f. Figure 1) is a simple, easy-to-use benchtop instrument for routine phase analysis as well as more advanced applications. The ARL X’TRA Companion uses a θ/θ goniometer (160 mm radius) in Bragg-Brentano geometry coupled with a 600 W X-ray source (Cu or Co). The radial and axial collimation of the beam is controlled by divergence and Soller slits, while air scattering is reduced by a variable beam knife. An integrated water chiller is available as an option. Thanks to the state-of-the art solid state pixel detector (55x55 μm pitch), the ARL X’TRA Companion provides very fast data collection and comes with single-click Rietveld quantification capabilities and automated result transmission to a LIMS (Laboratory Information Management System) seamless integrated into Thermo Scientific™ SolstiX™ Pronto instrument control software.</p><h4><strong>Your benefits&nbsp;</strong></h4><p>The ARL X’TRA Companion XRD workflow delivers answers in minutes, quantifying MgO, α-Al₂O₃, and MgAl₂O₄ while resolving Ca–Si silicates and trace Fe-spinels. Subtle differences between corundum and spinel are cleanly separated, and LOI drivers—carbonates, brucite, and Mg-sulfates—are identified and trended. These insights let you compute spinel potential, anticipate pore-closing expansion, and set the right pre-dry / prefire schedule to avoid spalling. You can clearly distinguish mid-grade, ore-derived feeds from premium low-silica materials, tighten incoming QA, and optimize formulations for cement/lime kilns, tundish linings, and other carbon-free basic applications.</p>

News from LabRulezICPMS Library - Week 07, 2026

<p><strong>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 </strong><a target="_blank" rel="noopener noreferrer" href="https://www.nature.com/articles/s41467-026-68778-6#Abs1"><i><strong>Nature Communications</strong></i></a><strong>.</strong></p><p>“<i>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</i>,” said the article’s first author, <strong>David Panáček</strong> from CATRIN, who worked on the study during his internship at Imperial College London.</p><p><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"></p><p>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. “<i>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</i>,” said one of the corresponding authors, <strong>Michal Otyepka</strong>.</p><p>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"><strong> CEITEC – VUT</strong></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.</p><p>“<i>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,</i>” added another corresponding author, <strong>Nuria De Diego</strong>.</p>

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

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This comprehensive software suite, designed for building automation workflows, caters to your analytical data needs, spanning NMR, LC/GC-MS, and more.

<h3><strong>Mnova Gears | Real-Time &amp; Batch processes</strong></h3><h4><strong>Automation Workflows for All Your Analytical Data Processes</strong></h4><p>Are you tired of the monotony of routine data processing? <strong>Mnova Gears</strong> (also known as <strong>Mgears</strong>) is here to free up your time for innovation and more engaging tasks. This comprehensive software suite, designed for building <strong>automation workflows</strong>, caters to your analytical data needs, spanning <strong>NMR</strong>, <strong>LC/GC-MS</strong>, and <strong>more</strong>. Simply set your analysis samples and SOPs, launch the process, and let Mnova Gears handle the rest. From data retrieval to processing and analysis, Mnova Gears effortlessly applies the methods and formulas you provide, presenting the results in comprehensive reports.</p><p>Experience the flexibility, seamless integration with your existing architecture, and the customizable nature of Mnova Gears. Like Mnova, it remains <strong>vendor-neutral</strong>, adapting to your unique requirements. Elevate your analytical data processes—automate with Mnova Gears!</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_Gears_Design_your_data_workflows_and_let_Mgears_do_the_rest_5771003702.jpg" alt="Mestrelab Research: Mnova Gears - Design your data workflows and let Mgears do the rest!"></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="http://www2.mestrelab.com/l/271522/2024-03-25/3nwsl4"><strong>Visit Mestrelab Research Mnova Gears product page to learn more!</strong></a></h4></blockquote><h4><strong>What’s new in Mnova Gears 2.5?</strong></h4><p><strong>Mnova Gears 2.5 has been released with Mnova 15 introducing a range of new capabilities:</strong></p><ul><li>New file copy option that copies the input files to the output folder without the need to open, process, or analyze them.</li><li>Ability to add chromatogram blind regions.</li><li>Improved data selection and auto-detection.</li><li>Capability to manage input data organized in multiple subfolders and generate sorted reports for each subfolder.</li><li>Heat map data visualization.</li><li>And other improvements that you can check in the complete changelog.</li></ul><p><strong>Upgrade to Mgears 2.5 now to explore these features and to unlock the full potential of data automation.</strong></p><p>Also be sure you check our newest Mgears brick designed for <a target="_blank" rel="noopener noreferrer" href="http://www2.mestrelab.com/l/271522/2024-03-25/3nwskt"><strong>Affinity Selection Mass Spectrometry</strong></a> analyses.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_Gears_Increase_your_efficiency_using_automated_analysis_workflows_c9d3fb13e6.jpg" alt="Mestrelab Research: Mnova Gears - Increase your efficiency using automated analysis workflows!"></p><h3><strong>Mnova Gears products and how they relate to one another!</strong></h3><h4><a target="_blank" rel="noopener noreferrer" href="http://www2.mestrelab.com/l/271522/2024-03-25/3nwsl4"><strong>Mnova Gears</strong></a></h4><ul><li>Automation of multiple sample analysis</li><li>Batch and real time mode to generate documents for analysis</li></ul><h4><a target="_blank" rel="noopener noreferrer" href="http://www2.mestrelab.com/l/271522/2020-10-22/25htxg"><strong>Mnova MyGears</strong></a></h4><ul><li>Automation of single sample analysis</li><li>Automation workflows on an open Mnova document</li></ul><h4><a target="_blank" rel="noopener noreferrer" href="http://www2.mestrelab.com/l/271522/2024-04-10/3p2gsd"><strong>Mnova Gears Bricks</strong></a></h4><ul><li>Build automation workflows using the following Gears bricks</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_Gears_1_b99a72ab8c.jpg" alt="Mestrelab Research: Mnova Gears products and how they relate to one another."></p><blockquote><h4><strong>Want to run a 45-day FREE trial?</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="http://www2.mestrelab.com/l/271522/2024-04-10/3p2gsh"><strong>CONTACT AN EXPERT</strong></a></h4></blockquote><h3><strong>Intuitive 5-Step workflow!</strong></h3><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_Gears_Intuitive_5_Step_workflow_9191e59a96.jpg" alt="Mestrelab Research: Mnova Gears - Intuitive 5-Step workflow."></p><h4><strong>Mnova Gears Benefits</strong></h4><ul><li><strong>Automate</strong> routine <strong>processes and workflows</strong>, saving valuable specialist time.</li><li>Create and manage <strong>end-to-end workflows</strong> seamlessly within a single tool.</li><li>Streamline <strong>multiple analytical workflows</strong> on a common, user-friendly platform.</li><li><strong>Customize workflows</strong> by selecting components tailored to specific needs.</li><li>Enjoy <strong>flexibility and configurability</strong>, allowing seamless integration with existing infrastructure.</li><li>Collaborate with <strong>different systems in an unified environment</strong> due to vendor independence.</li><li>Leverage the familiarity with the <strong>Mnova interface</strong> to deploy and adopt <strong>automation</strong> solutions by your team <strong>without an extensive learning curve</strong>.</li><li>Benefit from <strong>expedited product support and development</strong>, consolidating all your automation analyses in one software suite.</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_Gears_Mnova_Gears_Benefits_3186347cb7.jpg" alt="Mestrelab Research: Mnova Gears - Mnova Gears Benefits"></p><h4><strong>Mnova Gears Features</strong></h4><h5><strong>Powerful Automation Capabilities for Comprehensive Data Tasks</strong></h5><ul><li>A user-friendly platform equipped with all essential controls for customizing data processes, covering input data, processing and analysis methods, design, and output generation.</li><li>A wide array of default features and options is available to maximize adaptation to customer needs.</li><li>Acceptance of templates and scripts for further customization; you can even construct your own automation bricks using scripting.</li><li>Details of your customization are stored in a settings file, easily shareable and importable.</li></ul><h5><strong>Automatic Reporting and Archiving</strong></h5><ul><li>Diverse output formats, including CSV, PDF, HTML, JSON, and Mnova formats.</li><li>Seamless adaptation to data organization standards by specifying requirements for correct data archiving (in a folder, database, ELN, etc.).</li><li>Easy workflows to automatically update historic data to new standards, ensuring consistency across years and sites.</li><li>Continuous support and updates: Contact the support team for specific import/export format requests.</li></ul><h5><strong>A User-Friendly Result Viewer with Graphical Dashboards for Rapid and Easy Data Review</strong></h5><ul><li>Effortless exploration of results with the Mgears Results Viewer, featuring graphical dashboards.</li><li>At-a-glance and by-exception reviews for quick and effective data analysis.</li><li>Smooth navigation through sample lists or well plates, facilitating the review of data and analyzed spectra.</li><li>Identification of samples not meeting specifications using graphics and warning flags, saving time on extensive scrutiny.</li><li>Swift recalculations and result updates.</li></ul><h4><strong>Multi-Technique and Multi-Application Analytical Workflows</strong></h4><ul><li>Multiple techniques supported: NMR, LC-MS, GC-MS, Chromatography, etc.</li><li>Mnova Gears has already proven its prowess with a broad range of applications spanning from discovery, R&amp;D, to manufacturing and quality control.</li><li>Available applications include structure verification, purity determination, mixture analysis, chemical reaction optimization, and affinity selection mass spectrometry analysis. Explore the <a target="_blank" rel="noopener noreferrer" href="http://www2.mestrelab.com/l/271522/2024-04-10/3p2gsd"><strong>full list of applications</strong></a> for comprehensive coverage.</li></ul><h3><strong>Markets</strong></h3><h5><strong>Academic, Government &amp; Industrial</strong></h5><h4><strong>PRACTICAL APPLICATIONS</strong></h4><ul><li>Quality Control (NMR, Mass Spectrometry, etc)</li><li>Natural Product Dereplication by NMR</li><li>Reaction Monitoring by NMR</li><li>Quantitative NMR</li><li>Targeted mixtures analysis by NMR</li><li>Multi-technique reporting</li><li>Protein-ligand Interaction</li><li>Product ID confirmation</li><li>Structure verification</li><li>DNA Profiling by LCMS</li><li>Ligand-based drug screenings</li><li>Reaction Optimization (HTE)</li><li>Determination of solubility, lipophilicity</li><li>System Suitability testing (NMR, LCMS)</li><li>Compound separation and purification workflows</li></ul>

Mestrelab Mnova Verify software

Designed for synthetic and medicinal chemists, which automatically checks a proposed structure against a set of analytical data, LC-MS or GC-MS and/or 1D NMR and/or 2D NMR.

<h4><strong>Automatic confirmation of structure identity based on NMR and/or LC/GC-MS data</strong></h4><p>Designed for synthetic and medicinal chemists, which automatically checks a proposed structure against a set of analytical data, LC-MS or GC-MS and/or 1D NMR and/or 2D NMR.</p><h4><strong data-start="641" data-end="654">Benefits:</strong></h4><ul><li><strong>Solution coupling NMR </strong>(1H, 13C and HSQC) and <strong>MS techniques</strong> in a commercial off-the-shelf software.</li><li><strong>Helps non-expert users </strong>to take decisions while reducing the workload of the experts.</li><li><strong>Fully automatic analysis</strong> for singletons or batch data.</li><li><strong>Mnova Verify checks</strong> whether the proposed compound is correct!</li><li><strong>Flexibly accepts a variety of inputs</strong> and generate automatically fully customized reports.</li><li><strong>Straightforward results</strong> check that warns about inconsistencies.</li></ul><h4><strong>Features:</strong></h4><h5><strong>Powerful algorithm running behind the scenes</strong></h5><p><strong>This powerful algorithm integrates multiple modules to deliver:</strong></p><ul><li>Automated processing and analysis of 1D &amp; 2D NMR (¹H NMR, HSQC) and LC/GC-MS data.</li><li>Generation of theoretical data for proposed structures.</li><li>Prediction of NMR spectra (¹H, ¹³C, HSQC) and MS data (mass ion, isotopic cluster, fragmentation, MS/MS).</li><li>Comparison of experimental and theoretical data.</li><li>Results presentation using an innovative scoring system.</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_Verify_Powerful_algorithm_running_behind_the_scenes_be1dfb5e2f.webp" alt="Mestrelab Research: Mnova Verify - Powerful algorithm running behind the scenes" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_Verify_Powerful_algorithm_running_behind_the_scenes_be1dfb5e2f.webp 245w," sizes="100vw" width="936" height="427"></p><h5><strong>An easy and flexible scoring system</strong></h5><p>Evaluates analytical data to judge the compatibility of proposed structures:</p><ul><li>Provides a quality score (-1.0 to +1.0) for each structure, combining score and significance.</li><li>Displays detailed results for each test applied.</li><li>Ranks structures to quickly identify the best fit with experimental data.</li><li>Allows easy re-working of unclear results in Mnova.</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_Verify_An_easy_and_flexible_scoring_system_da1c07eb98.webp" alt="Mestrelab Research: Mnova Verify - An easy and flexible scoring system" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_Verify_An_easy_and_flexible_scoring_system_da1c07eb98.webp 245w," sizes="100vw" width="936" height="427"></p><h5><strong>Automated batch &amp; real-time operations</strong></h5><p>Provides QA for large data volumes like libraries or registration QC samples:</p><ul><li><strong>Batch Mode: </strong>Verifies libraries and identifies unsuitable samples for assay submission, generating an HTML report.</li><li><strong>Real-Time Analysis Mode: </strong>Performs unassisted verification of individual samples, providing immediate feedback on structure-data compatibility.</li><li>Requires Mnova v10 or higher (NMR, NMRPredict, and/or MS modules). Additional modules like Mnova DB or qNMR can also be used.</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_Verify_Automated_batch_and_real_time_operations_6fa9241b15.webp" alt="Mestrelab Research: Mnova Verify - Automated batch &amp; real-time operations" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_Verify_Automated_batch_and_real_time_operations_6fa9241b15.webp 245w," sizes="100vw" width="936" height="427"></p>

Mestrelab Mnova DB software

A professional database integrated within Mnova for efficiently shared storage of molecular structures, NMR, LC-MS, GC-MS, and other Mnova objects.

<h4><strong>Store, share and search your chemical and analytical data efficiently</strong></h4><p>A professional database integrated within Mnova for efficiently shared storage of molecular structures, NMR, LC-MS, GC-MS, and other Mnova objects.</p><p>Create new databases, save records with a couple of clicks, and run searches by structure, substructure, specific peak positions, multiplets, or mass peaks.</p><h4><strong data-start="641" data-end="654">Benefits:</strong></h4><ul><li><strong>Database enviroment for storing analytical data</strong> (NMR, LC/GC-MS, UV-Vis, IR, etc.) and chemical structures.</li><li><strong>Ranked queries by chemical struture and/or analytical data,</strong> enabling faster and more efficient data retrieval.</li><li><strong>Tools for managing and controlling your databases</strong>, with password protection for security.</li><li><strong>Quickly create new databases</strong> and save your analytical records in seconds, enhancing efficiency and productivity.</li><li><strong>Access and view reports in a variety of formats</strong>, including tables, records, well plates, and HTML views, for versatile data presentation.</li><li><strong>Manage user accounts with different privilege levels-administrator</strong>, power user, and standard user.</li></ul><h4><strong>Features:</strong></h4><h5><strong>Create a database and save your legacy data</strong></h5><ul><li>Companies and research institutes often have large volumes of analytical data spread across various sources, needing better management to make it shareable and searchable.</li><li>Once stored in the DB, chemists can easily access this data using Sample ID, Compound ID, peak, or Retention Time searches, especially for unknowns.</li><li>Mnova provides scripts to upload multiple NMR and/or LC/GC/MS datasets into a database.</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_DB_Create_a_database_and_save_your_legacy_data_7e9ee2e6f7.webp" alt="Mestrelab Research: Mnova DB - Create a database and save your legacy data" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_DB_Create_a_database_and_save_your_legacy_data_7e9ee2e6f7.webp 245w," sizes="100vw" width="1380" height="801"></p><h5><strong>Save your data during the workflow</strong></h5><ul><li>Chemists can save their work to the Database, making it easily accessible to others later.</li><li>Mnova DB integrates with Mnova Suite, allowing you to save or search data seamlessly during your workflow.</li><li>When working with NMR or LC/GC/MS datasets in Mnova, you can save raw data, parameters, analysis results, annotations, and molecular structures to the database with a couple of clicks.</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_DB_Save_your_data_during_the_workflow_169e99f805.webp" alt="Mestrelab Research: Mnova DB - Save your data during the workflow." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_DB_Save_your_data_during_the_workflow_169e99f805.webp 245w," sizes="100vw" width="1472" height="854"></p><h5><strong>Efficient sharing and searching of your analytical data</strong></h5><p>The basic search query can be the following:</p><ul><li>Structure or substructure</li><li>1D or 2D peak locations</li><li>1D multiplets</li><li>m/z values</li><li>Texts or numerics</li><li>Mnova DB allows you to combine any of the queries listed above, using logic and or operators, this is useful when you need to refine your search results iteratively. Mnova DB also save the results into a temporary database and continue to search to refine it.</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_DB_Efficient_sharing_and_searching_of_your_analytical_data_8bde34ce47.webp" alt="Mestrelab Research: Mnova DB - Efficient sharing and searching of your analytical data" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_DB_Efficient_sharing_and_searching_of_your_analytical_data_8bde34ce47.webp 245w," sizes="100vw" width="1472" height="854"></p><h5><strong>Seamlessly deliver data to your organization</strong></h5><ul><li>We can automate the DB setup so data is automatically imported when acquired by your instruments.</li><li>Chemists will no longer need to browse through file folders to review or analyze data. They can retrieve it directly in Mnova using Sample ID, Sample Number, Compound ID, or structure searches.</li><li>This will save your team time and significantly improve productivity.</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_DB_Seamlessly_deliver_data_to_your_organization_b4c354eeb3.webp" alt="Mestrelab Research: Mnova DB - Seamlessly deliver data to your organization" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_DB_Seamlessly_deliver_data_to_your_organization_b4c354eeb3.webp 245w," sizes="100vw" width="1472" height="854"></p>

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