<p><strong>A nitrogen-enriched graphene nanomaterial (GN3) for energy storage in supercapacitors, developed by researchers at the Czech Advanced Technology and Research Institute (CATRIN) of Palacký University Olomouc, has been included in the European Commission’s </strong><a target="_blank" rel="noopener noreferrer" href="https://innovation-radar.ec.europa.eu/innovation/66621"><strong>Innovation Radar database as a technology with strong commercial potential</strong></a><strong>. The material has been assessed as highly market-ready, with significant potential to create new markets. Palacký University, which coordinated the prestigious European Innovation Council project TRANS2DCHEM, has also been recognised among the project’s key innovators.</strong></p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Grafenovy_material_z_Olomouce_se_dostal_mezi_perspektivni_evropske_inovace_0d2a178219.jpg" alt="CATRIN: Graphene nanomaterial developed in Olomouc recognised among Europe’s most promising innovations" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Grafenovy_material_z_Olomouce_se_dostal_mezi_perspektivni_evropske_inovace_0d2a178219.jpg 156w," sizes="100vw" width="480" height="480"></p><p>Innovation Radar is a European platform that identifies promising innovations and key innovators emerging from research and innovation projects funded by the European Union.</p><p>“This is a great honour and recognition of our work. The excellent assessment within the Innovation Radar platform demonstrates the potential of CATRIN—and of Palacký University as a whole—to transform scientific discoveries into products with strong commercial potential. Recognition by independent experts highlights the technology’s high level of market readiness, which is exceptional even in the context of other outstanding projects supported by the European Innovation Council,” said <strong>Jiří Navrátil, Technology Transfer Coordinator at CATRIN</strong>.</p><p>The nitrogen-enriched graphene electrode material, based on graphene—a two-dimensional material consisting of a single layer of carbon atoms—was developed by researchers in Olomouc seven years ago. It originated from <strong>Michal Otyepka’s</strong> prestigious European Research Council project focused on the <strong>2D chemistry of fluorographene</strong>.</p><p>In the following years, researchers demonstrated the material’s significant potential for electrical energy storage, particularly in supercapacitors, which represent a promising alternative to today’s widely used lithium-ion batteries. Development of prototype supercapacitors with unique properties began under the prestigious European Innovation Council project <strong>TRANS2DCHEM</strong>, in collaboration with partners from<strong> Bar-Ilan University in Israel</strong> and the<strong> Italian company ITELCOND</strong>. The next logical step was the establishment of the spin-off company <strong>Atomiver</strong>, which has been operating since 2024.</p><p>“The continuous growth in global energy consumption and the rapid expansion of electronic devices are driving strong demand for high-performance, stable energy storage components. Our electrode material is unique because it pushes the current limits of commercially available technologies, particularly in terms of volumetric energy density—the amount of electrical energy that can be stored within a given volume. Compared with existing technologies, our material enables several-fold higher energy density. Its inclusion in the Innovation Radar database encourages us to continue developing the technology and bring it closer to commercial production,” said <strong>Michal Otyepka</strong>, one of the inventors of the technology and co-owner of the spin-out company.</p><p>The material is protected by <strong>several international patents</strong>, which have been licensed by Atomiver from Palacký University.</p><p>“Supercapacitors incorporating our graphene material could one day help ensure the safe operation of large data centres, Internet of Things (IoT) networks, transport systems, grid-scale energy storage, electronics for space applications and implantable medical devices,” added<strong> Veronika Šedajová</strong>, one of the inventors of the technology.</p><p>The significance of the technology was previously recognised when Atomiver was selected for the<strong> NATO DIANA </strong>accelerator programme, one of only<strong> 74 companies chosen from more than 2,600 applicants</strong>. The company has also received support from CzechInvest through its Technology Incubation programme.</p><p>“We are currently in intensive discussions with investors, who have shown strong interest in the technology, not least because the electrode material we have developed also has considerable potential for applications in other industries,” said<strong> Andrew Hladký, Director of Atomiver</strong>.</p><p><a target="_blank" rel="noopener noreferrer" href="https://innovation-radar.ec.europa.eu/innovation/66621"><strong>Innovation Radar</strong></a> serves as a platform for investors, entrepreneurs and the wider public to discover emerging technologies.</p>

Graphene nanomaterial developed in Olomouc recognised among Europe’s most promising innovations

<p><strong>Comprehensive two-dimensional gas chromatography (GC×GC) has emerged as a transformative technique in analytical chemistry. While one-dimensional </strong><a target="_blank" rel="noopener noreferrer" href="https://www.phenomenex.com/gas-chromatography"><strong>gas chromatography</strong></a><strong> (1D-GC) provides effective separation for simpler mixtures, it often struggles with highly complex samples where hundreds to thousands of compounds may be present. In environmental, petrochemical, biological, and food-related analyses, hundreds to thousands of compounds may be present, many of which co-elute in one-dimensional systems. This limits the ability of 1D-GC to fully resolve such mixtures.</strong></p><p>To address these limitations, GC×GC introduces an additional dimension of separation. It combines complementary (ideally orthogonal) separation mechanisms with advanced modulation processes, thereby expanding the chromatographic separation space. This enables the resolution of compounds that would otherwise remain co-eluted or undetectable. As a result, GC×GC offers enhanced peak capacity, improved selectivity, and improved detectability through the signal-focusing effects of modulation. Readers new to the subject may benefit from first reviewing the <a target="_blank" rel="noopener noreferrer" href="https://www.phenomenex.com/resources/knowledge-center/gc-knowledge-center/basic-principles-of-gas-chromatography-separation-and-analysis"><strong>principles of gas chromatography</strong></a>, which provide the foundation for understanding multidimensional methods such as GC×GC.</p><p>The technique has gained increasing importance over the past two decades in fields such as environmental monitoring, petroleum refining, <a target="_blank" rel="noopener noreferrer" href="https://www.phenomenex.com/resources/knowledge-center/gc-knowledge-center/role-gas-chromatography-forensics"><strong>forensic toxicology</strong></a>, metabolomics, and food science. Its ability to detect trace compounds and group-related analytes makes it invaluable for both research and industry.</p><p>This article explores what GC×GC is, how it works, its advantages and applications, the challenges faced, and future innovations. Whether you are an analytical scientist, a laboratory professional, or someone seeking to understand advanced separation science, GC×GC demonstrates why 2D gas chromatography (2D-GC) is considered a true game-changer.</p><h3><strong>What is Comprehensive Two-Dimensional Gas Chromatography (GC×GC)?</strong></h3><p>Two-Dimensional gas chromatography is an advanced analytical technique that separates complex mixtures using two columns with different stationary phases. Unlike 1D-GC, which relies on a single separation mechanism, GC×GC applies two complementary, often orthogonal, mechanisms in sequence, drastically <strong>improving resolution</strong>.</p><p>In 1D-GC, compounds that share similar chemical properties often co-elute, making it difficult to identify or quantify them accurately. GC×GC resolves this by employing a primary column, typically non-polar, followed by a secondary column, usually polar or semi-polar. A modulator periodically collects and re-injects fractions from the first column into the second, ensuring comprehensive analysis. By integrating two separation dimensions, 2D gas chromatography boosts peak capacity, enabling clearer resolution and identification of <strong>hundreds to thousands of compounds</strong>, depending on the sample matrix.</p><p>The primary goal of GC×GC is to maximize separation efficiency while maintaining sensitivity. Its advantages include increased peak capacity, reduced overlap, and structured chromatograms, where similar compounds group together. This structured output simplifies interpretation and enhances the reliability of results.</p><p>GC×GC is not just an incremental improvement over 1D-GC but a significant leap in analyte separation. GC×GC is a cornerstone technique in modern analytical laboratories for the resolution of highly complex samples such as crude oil fractions or biological fluids. By expanding both separation space and sensitivity, GC×GC provides clearer insights into mixtures once thought unresolvable. Proper setup and <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/article/5541"><strong>gas chromatography column installation</strong></a> are critical to ensuring reproducibility and maximizing the benefits of two-dimensional separations.</p><h3><strong>Principle and Working Mechanism of GC×GC</strong></h3><p>The principle of GC×GC chromatography lies in <strong>orthogonality</strong>, which employs two different separation mechanisms to enhance resolution. In the first dimension, compounds are typically separated by volatility in the first dimension (non-polar column), followed by polarity or another property in the second dimension (polar or semi-polar column). In the second dimension, a column with a contrasting phase provides additional separation based on different chemical properties.</p><p>At the heart of the process is the <strong>modulator</strong>. Thermal modulators are most common and work by trapping effluent from the first column in a cryogenic or heated zone, then releasing it in sharp, timed pulses into the second column. This ensures narrow injection bands, which improve peak capacity and resolution.</p><p>The combined effect is a marked increase in separation space. Instead of a simple one-dimensional chromatogram, GC×GC produces a two-dimensional plane where peaks are distributed across retention times from both columns. Data visualization typically uses contour plots or color-coded maps, which allow easy identification of compound groups.</p><p>GC×GC analysis also enhances detectability due to peak compression, making trace analytes more prominent. The result is a powerful technique that captures both the breadth and depth of chemical diversity within a sample. This dual-dimension approach underpins GC×GC’s reputation as a breakthrough in chromatographic science.</p><h3><strong>Key Advantages of GC×GC</strong></h3><p>Comprehensive two-dimensional gas chromatography provides several important advantages that make it an essential technique for analyzing complex mixtures across diverse research areas.</p><ol><li><strong>Improved peak capacity and resolution:</strong> By combining two orthogonal separations, GC×GC significantly increases the number of compounds that can be resolved compared to 1D-GC. This enhanced separation is especially useful in petrochemicals and environmental samples, where pollutants often overlap in simpler chromatograms.</li><li><strong>Enhanced separation of complex mixtures:</strong> 2D gas chromatography easily separates hundreds or thousands of analytes from a complex mixture. Its structured separation allows co-eluting compounds to be clearly distinguished that would otherwise remain unresolved in 1D-GC.</li><li><strong>Improved detectability of trace compounds due to modulation-induced peak focusing:</strong> The modulation process compresses analyte peaks, leading to sharper signals and improved signal-to-noise ratios. This makes it possible to detect trace-level compounds, which is critical in applications such as environmental pollution monitoring or biomarker discovery in biological samples.</li><li><strong>Structured chromatograms for compound grouping:</strong> GC×GC produces organized chromatograms where chemically similar compounds cluster into recognizable patterns. For example, hydrocarbons align in diagonal bands, simplifying pattern recognition and aiding identification.</li></ol><p>Together, these advantages help transform GC×GC chromatographic analysis from a linear process into a comprehensive two-dimensional mapping of chemical diversity, providing insights that were previously inaccessible.</p><h3><strong>Common Applications of GC×GC</strong></h3><p>Comprehensive two-dimensional gas chromatography has become an essential tool across many industries for the analysis of highly complex compounds. Its wide range of applications demonstrates its capabilities beyond those of 1D-GC methods.</p><h4><strong>Environmental analysis</strong></h4><p>GC×GC is widely used to monitor pollutants such as polycyclic aromatic hydrocarbons (PAHs), pesticides, and volatile organic compounds (VOCs) in air, soil, and water. Its enhanced separation capacity allows for reliable detection of trace contaminants even in highly complex environmental matrices.</p><h4><strong>Petrochemical and fuel analysis</strong></h4><p>In petroleum refining and petrochemical industries, GC×GC plays a key role in characterizing crude oil fractions, fuels, and lubricants. It provides detailed hydrocarbon fingerprints, helping optimize refining processes and assess product quality.</p><h4><strong>Food and flavor profiling</strong></h4><p>Food chemistry benefits from GC×GC in profiling flavors, aromas, and contaminants. For instance, it can distinguish subtle differences in coffee volatiles or detect adulterants in essential oils.</p><h4><strong>Forensic and toxicology screening</strong></h4><p>In forensic science, GC×GC helps identify drugs, explosives, and poisons from complex biological and environmental samples. Its high sensitivity is particularly valuable for toxicology screenings where minute concentrations must be quantified.</p><h4><strong>Metabolomics and biological samples</strong></h4><p>GC×GC enables comprehensive profiling of metabolites in biological fluids and tissues. Its ability to reveal biomarker patterns supports research in personalized medicine, disease diagnostics, and systems biology.</p><h3><strong>Challenges and Limitations of GC×GC</strong></h3><p>Despite its remarkable capabilities, comprehensive two-dimensional gas chromatography presents several challenges that can limit its widespread use.</p><ul><li>One major barrier is <strong>instrumentation cost</strong>. GC×GC systems are considerably more expensive than conventional one-dimensional GC setups, as they require advanced modulators, specialized detectors, and robust temperature control. This makes adoption difficult for smaller laboratories with limited budgets.</li><li>Another issue is <strong>technical complexity.</strong> The method demands precise control of operating parameters such as flow rates, temperature programming, and modulation timing. Small variations can affect reproducibility, meaning that highly trained personnel are essential for reliable operation.</li><li><strong>Data analysis</strong> represents a further challenge. The large two-dimensional datasets generated by GC×GC require sophisticated software tools for visualization and interpretation. Without advanced contour plotting and peak-processing capabilities, researchers may struggle to extract meaningful insights.</li><li>While GC×GC improves separation, unambiguous structural isomer identification often requires hyphenation with <strong>mass spectrometry</strong> (GC×GC–MS). While GC×GC effectively separates complex mixtures, distinguishing structural isomers often requires coupling with detectors such as mass spectrometry (GC×GC–MS). In addition, <strong>sample preparation</strong> can be labor-intensive, particularly with biological or environmental samples that need cleanup to prevent interferences.</li></ul><p>Although these hurdles exist, improvements in software, automation, and instrument design are steadily reducing these limitations, paving the way for broader adoption of GC×GC across industries.</p><h3><strong>Future Trends and Innovations in GC×GC</strong></h3><p>The field of comprehensive two-dimensional gas chromatography is advancing rapidly, with several innovations shaping its future role in analytical science. These developments aim to make the technique more powerful, user-friendly, and accessible to a broader range of laboratories.</p><p>One promising direction is the rise of <strong>miniaturized and portable GC×GC systems</strong>, which bring advanced separation capabilities to field settings such as environmental monitoring or on-site forensic testing. At the same time, <strong>integration with high-resolution mass spectrometry (HRMS)</strong> is enabling more precise compound identification, particularly for complex isomeric mixtures.</p><p>Another key trend is <strong>automation in data analysis.</strong> The use of artificial intelligence and machine learning is simplifying the interpretation of large, multidimensional datasets, reducing the need for extensive manual processing. <strong>Enhanced modulators</strong> are also being developed, improving sensitivity, minimizing sample loss, and ensuring robust performance across varied applications.</p><p>In addition, there is a growing emphasis on <strong>green analytical chemistry</strong>. Efforts to lower energy consumption, reduce solvent use, and create more sustainable workflows are aligning GC×GC with environmentally responsible laboratory practices.</p><p>Finally, <strong>broader clinical applications</strong> are emerging for 2D-GC, from breathomics to biomarker discovery in precision medicine. Collectively, these innovations indicate that GC×GC is evolving from a niche technique into a widely adopted analytical platform with significant scientific and industrial impact.</p>

Comprehensive Two-Dimensional Gas Chromatography

News from LabRulezGCMS Library - Week 33, 2026

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

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Phenomenex Zebron ZB-1 GC Columns

Zebron ZB-1 is a low polarity phase suited for true boiling point compounds

<h5><strong>Low Polarity For a Wide Range of Applications</strong></h5><ul><li><strong>Low polarity</strong> phase suited for true boiling point compounds</li><li><strong>Low bleed</strong> (MS Certified), low activity, and high efficiency</li><li><strong>Excellent resolving power </strong>of critical pairs in complex petrochemical samples</li><li>Used for “<strong>fingerprinting</strong>” and <strong>routine quality control</strong> analyses (e.g., citrus oils)</li><li>Equivalent to USP Phase G2</li><li><strong>Temperature Limits</strong>: 60 to 360/370 ˚C (Isothermal/TPGC)</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Phenomenex_Zebron_ZB_1_PLUS_86c4e49f06.jpg" alt="Phenomenex: Zebron ZB-1" width="235" height="150"></p><h5><strong>Recommended Use</strong></h5><ul><li>Excellent resolving power of critical pairs in complex petrochemical samples and used for “fingerprinting” and routine quality control analyses</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Phenomenex_Zebron_ZB_1_a0ba5c177e.jpg" alt="Phenomenex: Zebron ZB-1" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Phenomenex_Zebron_ZB_1_a0ba5c177e.jpg 145w," sizes="100vw" width="947" height="1019"></p>

Phenomenex Zebron ZB-1701 GC Columns

Zebron ZB-1701 Provides alternate selectivity to phenyl phases with similar polarity

<p><strong>Alternate Selectivity for Mid-Polarity Analyses</strong></p><ul><li>Fast run and re equilibration times for enhanced sample throughput and productivity</li><li>Provides alternate selectivity to phenyl phases with similar polarity</li><li>Good peak shape for active analytes</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Phenomenex_Zebron_ZB_1701_75b9286de0.webp" alt="Phenomenex: Zebron ZB-1701" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Phenomenex_Zebron_ZB_1701_75b9286de0.webp 245w," sizes="100vw" width="500" height="150"></p><h5><strong>Recommended Use</strong></h5><ul><li>Alcohols, Amines, Aromatic Hydrocarbons, Drugs, Esters, PAHs, PCBs, Pharmaceutical Intermediates, Phenols, Solvents, Steroids, TMS Sugars, Tranquilizers</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Phenomenex_Zebron_ZB_1701_c2a6145780.jpg" alt="Phenomenex: Zebron ZB-1701" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Phenomenex_Zebron_ZB_1701_c2a6145780.jpg 143w," sizes="100vw" width="634" height="694"></p><p><strong>Upgrade to Zebron from any 14 % cyanopropylphenyl / 86 % dimethylpolysiloxane phase:</strong></p><h5><strong>Agilent®</strong></h5><ul><li>DB®-1701&nbsp;</li><li>CP-Sil 19 CB</li></ul><h5><strong>Restek®</strong></h5><ul><li>Rtx®-1701&nbsp;</li><li>Rtx-VMS&nbsp;</li></ul><h5><strong>SGE®</strong></h5><ul><li>&nbsp;BP10&nbsp;&nbsp;</li></ul><h5><strong>Supelco®</strong></h5><ul><li>SPB®-1701&nbsp;&nbsp;</li><li>Equity®-1701&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li></ul><h5><strong>OV®</strong></h5><ul><li>OV-1701<br>&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;</li></ul>

Phenomenex Zebron ZB-1701P GC Columns

Zebron ZB-1701P is a guaranteed column for pesticide analysis

<p><strong>Enhanced Response for DDT and Endrin</strong></p><ul><li>Specially tested to ensure response of DDT, Endrin, Endrin Aldehyde, and Endrin Ketone</li><li>Guaranteed column for pesticide analysis</li><li>EPA Method 8081 Certified</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Phenomenex_Zebron_ZB_1701_75b9286de0.webp" alt="Phenomenex: Zebron ZB-1701P" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Phenomenex_Zebron_ZB_1701_75b9286de0.webp 245w," sizes="100vw" width="500" height="150"></p><h5><strong>Recommended Use</strong></h5><ul><li>Aroclors, nitrogen containing pesticides, organochlorine pesticides, organophosphorous pesticides</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Phenomenex_Zebron_ZB_1701_P_c4ccee1802.jpg" alt="Phenomenex: Zebron ZB-1701P" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Phenomenex_Zebron_ZB_1701_P_c4ccee1802.jpg 138w," sizes="100vw" width="657" height="740"></p><p><strong>Upgrade to Zebron from any 14 % cyanopropylphenyl / 86 % dimethylpolysiloxane phase:</strong></p><h5><strong>Agilent®</strong></h5><ul><li>DB®-1701&nbsp;</li><li>DB-1701P</li><li>CP-Sil 19 CB</li></ul><h5><strong>Restek®</strong></h5><ul><li>Rtx®-1701&nbsp;</li><li>Rtx-VMS&nbsp;</li></ul><h5><strong>SGE®</strong></h5><ul><li>&nbsp;BP10&nbsp;&nbsp;</li></ul><h5><strong>Supelco®</strong></h5><ul><li>SPB®-1701&nbsp;&nbsp;</li><li>Equity®-1701&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</li></ul><h5><strong>OV®</strong></h5><ul><li>OV-1701<br>&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;</li></ul>

Phenomenex Zebron ZB-1MS GC Columns

Zebron ZB-1MS is a very low bleed (MS Certified) especially suited to high sensitivity GC-MS

<p><strong>Low Bleed Performance for GC-MS</strong></p><ul><li>Very low bleed (MS Certified) especially suited to high sensitivity GC-MS</li><li>Improved signal-to-noise ratio for better sensitivity and mass spectral integrity</li><li>Extremely inert for active compounds such as drugs, pesticides, acids, and bases</li></ul><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Phenomenex_Zebron_ZB_1_PLUS_86c4e49f06.jpg" alt="Phenomenex: Zebron ZB-1MS" width="235" height="150"></p><h5><strong>Recommended Use</strong></h5><ul><li>Acids, Amines, Diesel Fuel, Drugs, Flavors &amp; Fragrances, PCBs, (EPA Method 1668), Pesticides, Solvent Impurities, Sulfur Compounds</li></ul><p><strong>Alternative to Any MS-Certified 100 % Dimethylpolysiloxane Phase:</strong></p><ul><li>DB®-1ms</li><li>MDN-1</li><li>SOLGEL-1ms™</li><li>HP-1ms</li><li>Rtx®-1MS</li><li>Equity®-1</li><li>AT-1ms</li><li>VF-1ms</li><li>P-Sil 5 CB</li></ul>

Mestrelab Mnova Hub software

Mnova Hub is a data browser that connects to various data providers and allows you to seamlessly retrieve, modify, and store data from within Mnova.

<p><strong>Streamlining Data Access and Exploration through Seamless Integration</strong></p><p>Spectral data is often scattered across diverse file systems and cloud-based repositories and is difficult to access. Mnova Hub is a data browser that connects to various data providers and allows you to seamlessly retrieve, modify, and store data from within Mnova, offering a centralized platform for exploration and analysis.</p><h4><strong data-start="641" data-end="654">Benefits:</strong></h4><ul><li>Seamlessly push and pull data from various providers using our unique data browser tool.</li><li>Cut out the middleman! Forget about manually downloading data; open and view it directly within Mnova.</li><li>Do not compromise security for easy data browsing; enjoy the ‘best of both worlds’ by effortlessly navigating secure data platforms.</li></ul><h4><strong>Features:</strong></h4><h5><strong data-start="1039" data-end="1108">Connection to various data providers</strong></h5><p>Mnova Hub provides easy and safe connections to various data sources, including databases (SQL and MnDB), Scientific Data Management Systems and data hubs (LOGS, ZONTAL), TopSpin (part of the Bruker Chemist Suite), and file systems. Each provider has a unique setup dialog that allows for customized configuration. Its flexible design ensures that integrating new providers is easily achievable.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mestrelab_Mnova_Hub_Connection_to_various_data_providers_ecc1b930ce.webp" alt="Mestrelab Research: Mestrelab Mnova Hub - Connection to various data providers." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mestrelab_Mnova_Hub_Connection_to_various_data_providers_ecc1b930ce.webp 245w," sizes="100vw" width="1104" height="641"></p><h5><strong data-start="1546" data-end="1659">Data searches and filtering</strong></h5><p>Mnova Hub has a configurable results display table that adapts to your preferences, allowing you to preview data, sort and filter results using available metadata filters, and fine-tune your search. This enables you to quickly and efficiently identify relevant datasets.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mestrelab_Mnova_Hub_Data_searches_and_filtering_fd7c371f66.webp" alt="Mestrelab Research: Mestrelab Mnova Hub - Data searches and filtering" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mestrelab_Mnova_Hub_Data_searches_and_filtering_fd7c371f66.webp 245w," sizes="100vw" width="1196" height="694"></p><h5><strong data-start="2113" data-end="2150">Seamless Data Management with Cloud Advantages</strong></h5><p>Mnova Hub offers a seamless experience for opening and saving data with just one step, akin to managing files on a local file system. With Mnova Hub, you no longer need to compromise between the convenience of local file handling and the advanced security, accessibility, and searchability features of cloud storage.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mestrelab_Mnova_Hub_Seamless_Data_Management_with_Cloud_Advantages_8b8effce32.webp" alt="Mestrelab Research: Mestrelab Mnova Hub - Seamless Data Management with Cloud Advantages." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mestrelab_Mnova_Hub_Seamless_Data_Management_with_Cloud_Advantages_8b8effce32.webp 245w," sizes="100vw" width="1104" height="640"></p>

Mestrelab Mnova ElViS software

By integrating Mnova ElViS into your analytical workflows, you can enhance the efficiency and accuracy of your spectroscopic data analysis across a wide range of techniques.

<h4><strong>Visualize, process, analyze and report various electronic and vibrational spectroscopic techniques</strong></h4><p>Carry out the analysis of various optical spectroscopy data including ultraviolet and visible (UV/Vis), near and mid infrared (NIR/MIR), Raman, fluorescence, and other spectroscopic methods operating in the whole region of wavelength from 100 nm to 100 µm.</p><h4><strong data-start="641" data-end="654">Benefits:</strong></h4><ul><li>Spectroscopic processing and analysis of ultraviolet and visible (UV/Vis), near and mid infrared (NIR/MIR), Raman, fluorescence methods.</li><li>Vendor and Operating System agnostic, supports most data file formats.</li><li>Wide range of processing functions, including a dynamic processing template.</li><li>Manual and automatic peak picking analysis.</li><li>Data Analysis of stacked/arrayed spectra.&nbsp;</li></ul><h4><strong>Features:</strong></h4><h5><strong data-start="1039" data-end="1108">PLS-Based Baseline Correction Tool (IarPLS)</strong></h5><p>To improve the processing of electronic and vibrational spectroscopy data, Mnova 15 introduces an enhanced PLS-based baseline correction tool, IarPLS (penalized-least-squares based). It now features an automatic button to compute the near-optimal asymmetry parameter.&nbsp;</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_PLS_Based_Baseline_Correction_Tool_Iar_PLS_f3180f6927.webp" alt="Mestrelab Research: Mnova EIVis - PLS-Based Baseline Correction Tool (IarPLS)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_PLS_Based_Baseline_Correction_Tool_Iar_PLS_f3180f6927.webp 245w," sizes="100vw" width="1500" height="845"></p><h5><strong>Normalization Processing Modes</strong></h5><p>Three Normalization Processing modes, namely Largest Peak, Integral and Vector Length are available in Mnova 15. These three features aim to simplify the baseline correction process, streamline your workflow, and provide a rapid method for normalizing data to address quantitative issues.&nbsp;</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_Normalization_Processing_Modes_675cb7c407.webp" alt="Mestrelab Research: Mnova EIVis - Normalization Processing Modes" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_Normalization_Processing_Modes_675cb7c407.webp 245w," sizes="100vw" width="1500" height="844"></p><h5><strong>Electronic and Vibrational Spectroscopies supported file formats</strong></h5><p>Mnova ElViS supports the most frequently used data file formats for these analytical techniques, including import and export of single and multi-column matrix-like spectra (i.e., ASCII XY and XYY, as .txt or .csv files). Supported formats include SPC (Galactic), JCAMP-DX, OPUS (Bruker), SPA and SPG (Omnic), Perkin Elmer's .sp files, and ASCII (XY and XYY).</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_Electronic_and_Vibrational_Spectroscopies_supported_file_formats_bb6afc3eab.webp" alt="Mestrelab Research: Mnova EIVis - Electronic and Vibrational Spectroscopies supported file formats" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_Electronic_and_Vibrational_Spectroscopies_supported_file_formats_bb6afc3eab.webp 245w," sizes="100vw" width="1500" height="910"></p><h5><strong>Manual &amp; automatic spectral analysis</strong></h5><p>Mnova ElViS provides both manual and automatic peak picking, offering flexibility and convenience in your spectral analysis. It also features advanced tools for the analysis of stacked or arrayed spectra, ensuring thorough data evaluation and interpretation for all your spectral needs.&nbsp;</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_Manual_and_automatic_spectral_analysis_e24a19a151.webp" alt="Mestrelab Research: Mnova EIVis - Manual &amp; automatic spectral analysis" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_Manual_and_automatic_spectral_analysis_e24a19a151.webp 240w," sizes="100vw" width="940" height="611"></p><h5><strong>Main processing features</strong></h5><p>Mnova ElViS comes with a range of useful processing features, including Multiplicative Scatter Correction, Probabilistic Quotient Normalization, Baseline correction (both automatic IarPLS and tailored Multipoint Baseline Correction), several smoothing techniques (such as Savitzky-Golay, Nonlocal Means, Exponential), normalization and Standard Normal Variate (SNV), derivatives, and units conversion between absorbance and transmittance.<br><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_EI_Vis_Main_processing_features_bc6eb64b99.webp" alt="Mestrelab Research: Mnova EIVis - Main processing features" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_EI_Vis_Main_processing_features_bc6eb64b99.webp 245w," sizes="100vw" width="1074" height="581"></p>

Mestrelab Mnova IUPAC Name software

Mnova IUPAC Name quickly generates IUPAC names for molecular structures within Mnova documents

<h4><strong>Generate the IUPAC name for your molecular structures</strong></h4><p><strong>Mnova IUPAC</strong> Name quickly generates IUPAC names for molecular structures within Mnova documents, making it an essential tool for organic chemists. With just one click, you can name any molecular structure. The tool also supports full automation, allowing entire compound libraries to be named in minutes. For more details, explore the Mnova Gears IUPAC Name solution.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_IUPAC_8e9ddfe661.webp" alt="Mestrelab Research: Mnova IUPAC Name" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_IUPAC_8e9ddfe661.webp 228w," sizes="100vw" width="1244" height="853"></p><p><strong>What’s IUPAC Name?</strong></p><p>The International Union of Pure and Applied Chemistry (<strong>IUPAC</strong>) is the world authority on chemical nomenclature and terminology, including the naming of new elements in the periodic table; on standardized methods for measurement; and on atomic weights, and many other critically-evaluated data.</p><p>IUPAC is the universally-recognized authority on chemical nomenclature and terminology and two IUPAC bodies take leading roles in this activity: Division VIII – Chemical Nomenclature and Structure Representation and the Inter-divisional Committee on Terminology, Nomenclature, and Symbols.</p><p><a target="_blank" rel="noopener noreferrer" href="https://iupac.org/"><strong>Read more about IUPAC here.</strong></a></p><h4><strong data-start="641" data-end="654">Benefits:</strong></h4><ul><li>One-click generation of IUPAC names within Mnova software.</li><li>Phane nomenclature for precise naming of complex molecular structures.</li><li>Generates Preferred IUPAC Names (PIN) for all classes of parent hydrides, including acyclic, monocyclic, polyalicyclic, spiro, fused, and bridged ring systems.</li><li>Works with a smaller library of functional groups and advanced algorithms for correct IUPAC combination.&nbsp;</li></ul>

Mestrelab Mnova Advanced Chemometrics software

Leverage sophisticated multivariate analysis tools such as PCA, PLS, and SIMCA for in-depth data exploration, regression, and classification.

<h4><strong>Advanced Chemometrics for Enhanced Data Analysis</strong></h4><p>Leverage sophisticated multivariate analysis tools such as <strong>PCA, PLS, and SIMCA</strong> for in-depth data exploration, regression, and classification. The user-friendly interface ensures seamless integration of spectral data with analysis results, making it ideal for advanced users seeking powerful chemometric techniques for comprehensive data analysis.</p><h4><strong data-start="641" data-end="654">Benefits:</strong></h4><ul><li><strong>All-in-One Solution</strong>: Offers seamless spectral processing, binning, and analysis with just a few clicks, simplifying workflows and managing complex data efficiently in a single platform.</li><li><strong>Incorporates Recognized Methods:</strong> Includes PCA, PLS, and SIMCA for advanced data analysis and unsupervised chemometrics.</li><li><strong>Powerful and Intuitive Interface:</strong> Provides a user-friendly design for a streamlined analysis experience.</li><li><strong>Improved Classification and Prediction</strong>: Classifies samples with SIMCA and builds predictive models using PLS.</li><li><strong>Noise and Outlier Reduction</strong>: Effectively reduces noise and detects outliers, ensuring accurate and reliable results.</li><li><strong>Expandable Plugin:</strong> Features Higher Order Structure (HOS) capabilities, powered by Mnova BioHOS.&nbsp;</li></ul><h4><strong>Features:</strong></h4><h5><strong>New MCR Tool for Peak Purity Assessment in LCMS Data</strong></h5><p>Introduces an MCR tool based on the MCR-ALS algorithm for peak purity assessment, providing comprehensive tables and plots to streamline LCMS data analysis and enhance decision-making. This tool is available with the Advanced Chemometrics or BioHOS plugins and requires an MSChrom plugin license.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_Advanced_Chemometrics_New_MCR_Tool_for_Peak_Purity_Assessment_in_LCMS_Data_94993e71c3.webp" alt="Mestrelab Research: Mnova Advanced Chemometrics - New MCR Tool for Peak Purity Assessment in LCMS Data" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_Advanced_Chemometrics_New_MCR_Tool_for_Peak_Purity_Assessment_in_LCMS_Data_94993e71c3.webp 245w," sizes="100vw" width="1920" height="1200"></p><h5><strong>Enhanced Data Analysis with Partial Least Squares (PLS) Regression</strong></h5><p>Facilitates comprehensive analysis and accurate prediction of dependent variables from independent variables (such as binned spectra), while also providing intuitive graphical evaluation tools for deeper insights.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_Advanced_Chemometrics_Enhanced_Data_Analysis_with_Partial_Least_Squares_PLS_Regression_7363eca35a.webp" alt="Mestrelab Research: Mnova Advanced Chemometrics - Enhanced Data Analysis with Partial Least Squares (PLS) Regression" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_Advanced_Chemometrics_Enhanced_Data_Analysis_with_Partial_Least_Squares_PLS_Regression_7363eca35a.webp 211w," sizes="100vw" width="1175" height="870"></p><h5><strong>Advanced Data Classification with SIMCA Modeling</strong></h5><p>Offers a powerful statistical method for supervised classification of data, allowing researchers to categorize and analyze complex datasets with precision.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_Advanced_Chemometrics_Advanced_Data_Classification_with_SIMCA_Modeling_830f63d8a0.webp" alt="Mestrelab Research: Mnova Advanced Chemometrics - Advanced Data Classification with SIMCA Modeling" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_Advanced_Chemometrics_Advanced_Data_Classification_with_SIMCA_Modeling_830f63d8a0.webp 195w," sizes="100vw" width="1026" height="820"></p><h5><strong>Advanced PCA Analysis for In-Depth Data Insights</strong></h5><p>Provides features for comprehensive data exploration and visualization, including quantile plots (1D NMR), comparison tools, plot labels display, enhanced selection and interactivity in scores and loadings plots, and additional distance. calculation options in scores plots. These enhancements enable precise, interactive analysis for deeper data insights.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Mestrelab_Research_Mnova_Advanced_Chemometrics_Advanced_PCA_Analysis_for_In_Depth_Data_Insights_32b2644333.webp" alt="Mestrelab Research: Mnova Advanced Chemometrics - Advanced PCA Analysis for In-Depth Data Insights" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Mestrelab_Research_Mnova_Advanced_Chemometrics_Advanced_PCA_Analysis_for_In_Depth_Data_Insights_32b2644333.webp 245w," sizes="100vw" width="1026" height="647"></p>

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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