Although modern agriculture needs to be based on accurate real-time data on soil, plant, and environmental conditions, affordable, sufficiently sensitive, and robust monitoring devices for this purpose are currently missing. According to scientists, low-cost sensors based on new smart materials and printing technologies offer a suitable solution. The results of multidisciplinary research thus far and proposals for the development of these devices have been presented by researchers from Czechia, Great Britain, Spain, and the USA in a review article in the prestigious journal <a target="_blank" rel="noopener noreferrer" href="https://www.nature.com/articles/s41467-026-68778-6#Abs1">Nature Communications</a>.“Sensor technologies for monitoring plant health are still in their infancy. Only simple sensors capable of monitoring basic parameters such as pH, soil moisture, or temperature are commonly available on the market. However, if farmers are to face current challenges, including climate change, and ensure sufficient food for humanity, they need much more effective tools that will enable them to monitor, for example, various pathogens, including bacteria and fungi. In our opinion, a suitable solution is a combination of new smart materials and printing for the production of inexpensive, durable, and scalable materials,” said the article’s first author, David Panáček from CATRIN, who worked on the study during his internship at Imperial College London.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Soucasne_senzory_nestaci_Vedci_navrhuji_novou_cestu_ke_sledovani_zdravi_rostlin_b4014952a3.jpg" alt="CATRIN: David Panáček" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Soucasne_senzory_nestaci_Vedci_navrhuji_novou_cestu_ke_sledovani_zdravi_rostlin_b4014952a3.jpg 208w," sizes="100vw" width="1536" height="1152">Sensors for monitoring plant health, for example, lag behind similar devices used in human medicine. According to the authors, advances in materials science, which will enable the development of scalable sensor technologies, play a key role in this potential shift. “Printing techniques, including inkjet printing, screen printing, aerosol printing, 3D printing, and direct laser writing, offer flexible ways to produce flexible sensors, large-area sensors, and sensors integrated directly into plants. The review article summarizes recent advances in printable low-dimensional materials for agricultural sensors, analyzes their physico-chemical properties in relation to sensor performance, and discusses key challenges and future opportunities requiring interdisciplinary integration,” said one of the corresponding authors, Michal Otyepka.The research brought together materials scientists, chemists, biologists, sensing experts, and printing technology specialists. Materials research and the use of graphene-based smart materials were led by scientists from CATRIN at Palacký University and VŠB-Technical University of Ostrava. Plant biologists from CATRIN contributed their knowledge of plant development, their responses to stress conditions, and the monitoring of their properties. Researchers from Imperial College London took care of the electronics, while representatives from<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/companies/36"> CEITEC – VUT</a> focused on printing technologies. The team also included leading experts in sensing from the Catalan Institute of Nanoscience and Nanotechnology in Barcelona, and Joseph Wang of the University of California San Diego, the “father of sensing and electrochemistry,” also contributed his extensive knowledge.“This is a groundbreaking study on this topic, which has managed to attract some truly big names in their respective fields. Last but not least, the study demonstrates that interdisciplinarity at CATRIN gives rise to completely new and promising research topics, such as plant sensing and its use for studying plant-environment interactions and smart agriculture,” added another corresponding author, Nuria De Diego.

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

In the week from February 16, the following webinars await you in the field of atomic and molecular spectroscopy and spectrometry<blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinars">👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</a></h4>👉 Search and filter in the largest global database with over 5 000 GC, LC, MS and spectroscopy webinars.</blockquote><h5>1. Thermo Fisher Scientific: The Perfect Pair for GMP Compliance – IonicX and TruScan for Raw Material Identification and Verification</h5><ul><li>Tu, 17.2.2026 20:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5835">Registration</a></li></ul>Learn how the IonicX™ Portable XRF Analyzer enables rapid, at-line identification of ionic salts in GMP manufacturing, delivering real-time PASS/FAIL results and streamlined raw material verification.<h5>2. Milestone: Reliable Mercury Analysis in Environmental Samples – Tools, Techniques, and Best Practices</h5><ul><li>Th, 19.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5804">Registration</a></li></ul>Episode 3 focuses on reliable mercury analysis in environmental samples, demonstrating how direct analysis simplifies workflows, reduces contamination risks, and delivers accurate results without digestion.<h5>3. Agilent Technologies: Learn How to Confirm Your Data on ICP-OES – Are You Getting the Right Result?</h5><ul><li>Th, 19.2.2026 20:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/2785">Registration</a></li></ul>This webinar discusses accuracy and precision in ICP-OES analysis and practical strategies to ensure reliable and defensible results.

Webinars LabRulezICPMS Week 08/2026

Metalloproteins play essential roles in marine phytoplankton, yet their metalloproteomes remain poorly characterized. This study combines protein modeling, quantitative proteomics, and ICP-MS measurements to assess metal requirements across several phytoplankton species, including chlorophytes, a haptophyte, and a cyanobacterium.Results show strong agreement between proteome-inferred metal demands and measured cellular metal quotas, while providing deeper insight into biological functions. Mg-containing proteins were most abundant overall, with Zn, Fe, and Mn as dominant trace cofactors. Distinct differences between prokaryotic and eukaryotic phytoplankton were observed, and strain-level analysis demonstrated how metalloproteomes reflect environmental adaptation and metal limitation strategies.<blockquote><h4>The original article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233">Unlocking Phytoplankton Metallomes with Comparative Analysis of Metal Quotas, Quantitative Proteomics, and Inferred Metalloproteomes</a></h4>Qiong Zhang*, Jiayou Ge, Fengjie Liu, Shabaz Mohammed, Kedong Yin, and Rosalind E. M. RickabyEnviron. Sci. Technol. 2025, 59, 50, 27367–27377<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.est.5c11233">https://doi.org/10.1021/acs.est.5c11233</a><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.Many important biological processes of phytoplankton, including photosynthesis, carbon fixation, and nitrogen reduction, rely on enzymes that have metals as cofactors. <a href="javascript:void(0);">(1)</a> It has been estimated that half of all enzymes must be associated with a particular metal to function. <a href="javascript:void(0);">(2)</a> The availability of metals in the environment has changed over geological time and, given imperfections in the selectivity of metal transport systems, proteins have evolved to make the best use of metals that are more available. <a href="javascript:void(0);">(3−5)</a> Depending on their evolutionary histories, different groups of marine phytoplankton may have differences in their metalloprotein compositions and metal transport strategies. The evolving trace metal availability in the environment, thus, may provide a selective pressure to promote the proliferation of different phytoplankton groups in the oceanic environment, affecting the phytoplankton community structure with knock-on effects on the marine food web and carbon sequestration. <a href="javascript:void(0);">(5)</a> It is crucial to understand the utilization of trace metals by different groups of marine phytoplankton that inhabit contrasting niches in the modern ocean, not only by assessing the accumulation of trace metals in cells but also examining the functions of trace metals in different biological pathways.In previous studies, the utilization or requirements of trace metals by marine phytoplankton were mostly determined by measuring the elemental stoichiometry in cells (metallome or quota of trace metals). <a href="javascript:void(0);">(6−8)</a> In the field, attempts have also been made to investigate the elements in phytoplankton <a href="javascript:void(0);">(9,10)</a> which have then been compared with profiles in the abiotic environment to understand their relationships. <a href="javascript:void(0);">(11)</a> The discovery of various metal storage proteins and the plasticity in elemental quotas under different environmental conditions raise the question of whether intracellular trace metal quotas reflect true differences in trace metal usage by phytoplankton. <a href="javascript:void(0);">(12,13)</a> In the past few decades, more and more studies have focused on metal–protein partnerships, using approaches such as genome-wide analysis to identify homologues of known metalloproteins and other deduced metal-binding motifs encoded within sequenced genomes. <a href="javascript:void(0);">(5,14)</a> However, this approach has limitations in estimating metal abundance in cells because not all genes predicted in the genome would be translated and expressed as proteins under all environments, and a single gene for a metalloprotein could be highly expressed, such that a translation from genetic presence to a required concentration is not linear and could be environment-dependent. To obtain in situ metal abundance in metalloproteins in cells, native separation of proteins by HPLC or PAGE followed by the detection of metals using ICP-MS <a href="javascript:void(0);">(15,16)</a> has been used. This approach also has limitations in that, without bioinformatics, it cannot identify the function of proteins within which the metals are found, and it may also depend on the composition of the media to which the organism has been exposed and in which it has been growing. An ideal way to solve the problem would be to separate and purify each of the proteins and then identify both the associated metal (e.g., by ICP-MS) and the protein sequence (e.g., by mass spectrometry). However, this approach is constrained by the resolution of chromatographic or electrophoretic techniques, making it challenging to establish the metal–protein associations unambiguously; many proteins often co-occur in metal-containing fractions. Additionally, this method requires huge volumes of biomass and is both time-consuming and complex, complicating the reconstruction of the expressed metalloproteome in cells. The techniques and challenges for metalloproteomics have been discussed in detail in previously published review articles (and the references therein). <a href="javascript:void(0);">(17)</a>In this study, we determined the trace metal utilization (the metallome) of different phytoplankton from their expressed proteome via a protein modeling and homologue identification approach, and then compared the resulting metallome with the metal quota data measured by the traditional inductively coupled plasma mass spectrometry (ICP-MS). This approach allows the building of a link between the truly used trace elements and their biological functions in phytoplankton. We aim to fill the gap between an estimation of metals encoded in the genome and metal analysis by ICP-MS in phytoplankton, which may be more broadly applicable to infer cellular metallomes.<h3>Materials and Methods</h3><h4>ICP-MS Analysis</h4>All preparation of samples for ICP-MS measurement was undertaken using trace metal clean methods. All plasticware used in this study, including culture flasks, pipette tips, and centrifuge tubes, was precleaned in 10% quartz-distilled HCl and thoroughly rinsed with 18 MΩ cm water in a clean laboratory. Trace elements in the filtered lysates of G. huxleyi (OA1, OA4, OA8, OA15, OA16, OA23, and RCC 1242) and Synechocystis (FACHB898) strains were measured using an ICP-MS. The detailed ICP-MS method and instrumental settings are described in Zhang et al. (2018). <a href="javascript:void(0);">(31)</a><h4>Protein Mass Spectrometry</h4>The peptides were resuspended in 5% formic acid and 5% DMSO prior to mass spectrometry. They were separated on an <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=3&amp;search=Ultimate+3000+UHPLC">Ultimate 3000 UHPLC </a>system (Thermo Fisher Scientific) and electrosprayed directly into a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/559">Q-Exactive Mass Spectrometer</a> (Thermo Fisher Scientific) through an EASY-Spray nanoelectrospray ion source (Thermo Fisher Scientific). The peptides were trapped on a C18 PepMap100 precolumn (300 μm i.d. × 5 mm, 100 Å, Thermo Fisher Scientific) using solvent A (0.1% formic acid in water) at a pressure of 500 bar. The peptides were separated on an in-house packed analytical column (75 μm i.d. × 50 cm packed with ReproSil-Pur 120 C18-AQ, 1.9 μm, 120 Å, Dr. Maisch GmbH) using a linear gradient (length: 65 min, 15% to 35% solvent B [0.1% formic acid in acetonitrile], flow rate: 200 nL/min). The raw data were acquired on the mass spectrometer in a data-dependent mode (DDA). Full scan MS spectra were acquired in the Orbitrap (scan range 350–1500 m/z, resolution 70000, AGC target 3e6, maximum injection time 50 ms). After the MS scans, the 10 most intense peaks were selected for HCD fragmentation at 30% of normalized collision energy. HCD spectra were also acquired in the Orbitrap (resolution 17500, AGC target 5e4, maximum injection time 120 ms, isolation window 1.5 m/z) with the first fixed mass at 180 m/z. Charge exclusion was selected for unassigned and 1+ ions. The dynamic exclusion was set to 20 s.<h3>Results and Discussion</h3><h4>Trace Elements Determined from the Expressed Proteomes of Different Phytoplankton</h4>Based on the expressed proteome sequences, we predicted metal-binding proteins and compared their distribution among various phytoplankton species (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233#fig2">Figure 2</a>). The inference revealed 28 different metals in G. huxleyi, 31 different metals in C. reinhardtii, and 30 different metals in Synechocystis. Although only 6 different metals were identified in O. tauri proteins, it has to be noted that the analysis for O. tauri was only based on the 40 most abundant proteins reported in this organism <a href="javascript:void(0);">(21)</a> and, hence, the listed elements, including Mg, Fe, Mn, Ca, Zn, and Cu, may represent the most essential metals for the species.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Environ_Sci_Technol_2025_59_50_27367_27377_Figure_2_The_number_of_metal_binding_proteins_identified_in_the_expressed_proteome_of_the_haptophyte_G_9b8ac0f004.jpeg" alt="Environ. Sci. Technol. 2025, 59, 50, 27367–27377: Figure 2. The number of metal-binding proteins identified in the expressed proteome of the haptophyte G. huxleyi (a), the chlorophyte C. reinhardtii (b) and O. tauri(c), and the cyanobacteria Synechocystis (d). Pie charts show the percentages of metalloproteins containing specific metals. Original proteome data for G. huxleyi are from Mckew et al. (2013) (24) for C. reinhardtii are from Hsieh et al. (2013) (77) for O.tauriare from Martin et al. (2012) (21) for Synechocystisare from Chen et al. (2018). (22) *Noted that for O. tauri, only the 40 most abundant proteins were included in this analysis. ND: no metal binding was found in the proteins." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Environ_Sci_Technol_2025_59_50_27367_27377_Figure_2_The_number_of_metal_binding_proteins_identified_in_the_expressed_proteome_of_the_haptophyte_G_9b8ac0f004.jpeg 123w," sizes="100vw" width="934" height="1181">The number of proteins that bind with different metals varies dramatically in phytoplankton. For metalloproteins, there are variations in the binding affinities of different metals to organic molecules. For example, the affinities of divalent metals to proteins have a tendency to follow a universal order of preference, namely the Irving-Williams series (Mg2+ and Ca2+ [weakest binding] &lt; Mn2+ &lt; Fe2+ &lt; Co2+ &lt; Ni2+ &lt; Cu2+ &gt; Zn2+). <a href="javascript:void(0);">(43)</a> Cells can simultaneously contain proteins having high-affinity-binding metals, such as Cu and Zn, and others that require uncompetitive metals, such as Mg and Ca. One of the least competitive metals for binding with biological chelators, Mg, is even found to be the most widely distributed metal in the metalloproteomes of various phytoplankton species in this study, supporting the observations of high concentrations in the protein fraction of cells (at millimolar concentrations <a href="javascript:void(0);">(31)</a>).In all phytoplankton species in our analysis, the Mg-containing proteins are found to have the highest proportion in all metalloproteins identified. About 30% of the metalloproteins in different strains of phytoplankton are found to contain Mg or depend on it for function (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233#fig2">Figure 2</a>), suggesting the important role of Mg in phytoplankton cells. It is generally coordinated in protein complexes by ATP or ADP and has also been found to be largely distributed in the chloroplasts or thylakoids in G. huxleyi and Synechocystis. <a href="javascript:void(0);">(22,24)</a> The essential roles of Mg in plants have been reported in various studies. Mg2+ is known to be the central atom of the chlorophyll molecule, and its levels in the chloroplast regulate the activity of key photosynthetic enzymes. <a href="javascript:void(0);">(44)</a> It was reported that approximately 15–35% of total Mg is in the chloroplasts of a plant, <a href="javascript:void(0);">(45)</a> and it also serves as an osmotically active ion in the regulation of cells <a href="javascript:void(0);">(46)</a><h4>Comparison Between Metallome Measured Directly and Reconstructed from Proteins</h4>A large proportion of metals, such as Fe, Mn, and Cu, are found in membrane proteins,and may contribute significantly to total cellular quotas. <a href="javascript:void(0);">(54,55)</a> However, for method development purpose, we endeavored to remove the cell membranes from our samples to focus mostly on the analysis of intracellular metal quotas and metalloproteins in the cytosol fraction in this study. We note that our analysis includes some membrane-bound proteins likely derived from organelles or surface membranes disrupted during sonication.The derivation of cellular metal composition, as determined by two different methods, is compared in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233#fig3">Figure 3</a>. The abundance of metal in the proteins is determined as the relative abundance of the protein multiplied by the number of metal ions needed for the specific protein. The abundance of the proteins was normalized to ensure that the total intensities from each replicate measurement for the same species were similar. Since the proteomic data used here were generated from different studies using different instruments, we cannot quantify or compare the absolute biomass of proteins used for each species. Therefore, we cannot compare the absolute trace metal abundance between species solely from metal inferences of expressed proteomes. Nevertheless, we can estimate the relative abundance of different metals in the same species. For the elements that are both measured by the ICP-MS and identified in the proteome, there are generally good correlations (r2 = 0.81 in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233#fig3">Figure 3</a>a and r2 = 0.74 in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233#fig3">Figure 3</a>b) between the two approaches. This indicates that the metal compositions determined from the protein modeling may be reliable and, therefore, can reflect the metal usage in different phytoplankton. This would provide a level of assurance to further investigate the metal binding associated with various proteins, thereby deepening our understanding of the roles that different metals play in phytoplankton.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Environ_Sci_Technol_2025_59_50_27367_27377_Figure_3_Relationship_between_the_abundance_of_metals_determined_by_ICP_MS_analysis_e7b259e376.jpeg" alt="Environ. Sci. Technol. 2025, 59, 50, 27367–27377: Figure 3. Relationship between the abundance of metals determined by ICP-MS analysis (normalized to C, mmol/mol C) and metal abundance determined from the metalloproteome analysis (the unit is arbitrary). To account for strain variations, the ICP-MS data for the cellular metal content of G. huxleyi are average values from 7 G. huxleyi strains isolated from different areas of the ocean, and the proteome-derived metal composition data are average values calculated from 2 of those G. huxleyi strains (OA1 and OA16) isolated previously, and data from Mckew et al., 2013. (24) The ICP-MS data for Synechocystis are from Synechocystis sp. FACHB898 measured in this study, and the proteome data are calculated from Chen et al., 2018. (22) Noted that the abundance of metals from each proteome was calculated by using the metal stoichiometry multiplied by the relative abundance of proteins, which provides only a relative relationship of different trace metals, not absolute abundance. The symbols represent the mean values, and the error bars indicate standard deviations." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Environ_Sci_Technol_2025_59_50_27367_27377_Figure_3_Relationship_between_the_abundance_of_metals_determined_by_ICP_MS_analysis_e7b259e376.jpeg 245w," sizes="100vw" width="1384" height="641">Compared to the other metals investigated in this study, Ca and Mg appear to have a much higher relative abundance in the ICP-MS analysis than in the proteomic analysis of G. huxleyi and Synechocystis (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233#fig3">Figure 3</a>). These two elements are essential macronutrients for phytoplankton and plants. Ca is the most prominent secondary messenger that plays a crucial role in response to extracellular stimuli in all eukaryotes. Ca2+ fluxes are transported via Ca channels and transporters, such as Ca-ATPase, regulating a series of important biological functions, including mineral uptake and utilization, K+ homeostasis adjustment, and regulatory network activity in response to P or N deficiency. <a href="javascript:void(0);">(56)</a> Ca is not always incorporated into protein structures. The Ca abundance determined from the proteins in this study, therefore, is much lower than the actual Ca needed intracellularly. Similarly, the intracellular Mg2+ and K+ abundances should also be higher than those determined from the protein structures. Free Mg2+ and K+ are known to regulate cation–anion balance and serve as osmotically active ions in the regulation of cells <a href="javascript:void(0);">(46)</a> but free metal ion concentrations cannot be determined through the approach used in this study. Thus, it is not surprising to see much higher relative abundances of Ca and Mg in ICP-MS analysis than in proteomic analysis (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.est.5c11233#fig3">Figure 3</a>).

Unlocking Phytoplankton Metallomes with Comparative Analysis of Metal Quotas, Quantitative Proteomics, and Inferred Metalloproteomes

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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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Thermo Scientific™ picoSpin™ 80 Series II NMR Spectrometer

Benchtop 82 MHz NMR spectrometer with high resolution and no cryogens. Ideal for teaching, reaction monitoring, and small-molecule analysis in any lab.

<div><h4>Compact, high-resolution benchtop NMR for education, research, and process control</h4>The picoSpin™ 80 Series II NMR spectrometer brings the power of Nuclear Magnetic Resonance (NMR) to laboratories of any size. With a compact footprint, temperature-stabilized 2 Tesla permanent magnet, and proton Larmor frequency of 82 MHz, the instrument delivers chemical shift resolution below 20 ppb—unmatched among benchtop NMR systems.Designed for users of all experience levels, the picoSpin 80 is ideal for structural analysis, compound identification, reaction monitoring, and education. It operates without cryogens or deuterated solvents and requires only 40 µL of liquid sample, introduced via a replaceable capillary cartridge.<h3>Key Benefits</h3><ul><li>High-resolution performance for routine small molecule applications</li><li>Compact and portable—placeable on bench or near reactors</li><li>Low operating cost—no cryogens, no consumables, standard power supply</li><li>Easy to use—automatic shimming, minimal training required</li><li>Fast data acquisition—NMR spectrum delivered in minutes</li></ul></div><h3>Applications</h3>Pharmaceutical &amp; Chemical Research Gain rapid insight into reaction progress and sample composition without relying on centralized NMR facilities. The 82 MHz field strength ensures better signal dispersion and structural clarity than lower-frequency desktop systems.Education Provide hands-on experience with real NMR spectra. The intuitive web interface and included Mnova™ software allow students to operate the instrument and analyze data independently, with no re-shimming required between measurements.Process Analysis &amp; QA/QC Built for rugged environments, the instrument fits easily into production labs or fume hoods. Monitor reactions in real time and ensure reproducibility through a stable magnetic field and network-based remote access.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_pico_Spin_80_Series_II_NMR_Spectrometer_7_7a843b395f.jpg" alt="Thermo Scientific™ picoSpin™ 80 Series II NMR Spectrometer: 82MHz spectrum of Oil of Wintergreen resolves neighboring multiplets and reveals small couplings." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_pico_Spin_80_Series_II_NMR_Spectrometer_7_7a843b395f.jpg 200w," sizes="100vw" width="1056" height="825"><h3>Interface &amp; Data Handling</h3><ul><li>Web-based control from PC, tablet, or smartphone</li><li>Data export in JCAMP-DX format, compatible with most NMR software</li><li>Mnova™ software license included (1 year) for advanced analysis</li><li>Ethernet connectivity for remote monitoring and control</li></ul><h3>Technical Specifications</h3><ul><li>Magnet: 2 Tesla rare earth permanent, temperature stabilized</li><li>Larmor Frequency: 82 ± 2 MHz (proton)</li><li>Spectral Resolution: ≤ 20 ppb FWHM</li><li>Sample Volume: 40 µL (injected via syringe)</li><li>Capillary Cartridge: 400 µm ID, 1/16 in. fittings, user replaceable</li><li>Power Supply: 100–230 V AC, 50/60 Hz, 150 W</li><li>Environmental Requirements: Standard lab environment, no cryogens or compressed gases</li><li>Dimensions: 43 × 35.6 × 25.4 cm</li><li>Weight: 19 kg (43 lb)</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_pico_Spin_80_Series_II_NMR_Spectrometer_4_267f669007.jpg" alt="Thermo Scientific™ picoSpin™ 80 Series II NMR Spectrometer: Easily operate your system through a web-browser for remote access, automatic shimming and single-click data collection." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_pico_Spin_80_Series_II_NMR_Spectrometer_4_267f669007.jpg 222w," sizes="100vw" width="1053" height="739">

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<div><div>Enhance your nuclear magnetic resonance (NMR) spectroscopy analysis with a complete set of accessories designed to help you get the most from your Thermo Scientific™ picoSpin™ NMR Spectrometer. Whether in the classroom or in a chemical manufacturing QA/QC lab, valuable picoSpin accessories will help you achieve the progress that only personal NMR can offer for your research, teaching or process applications.</div><div><h3>Choose from these picoSpin accessories:</h3><h4>Benchtop NMR Reaction Monitoring Accessory</h4>Adding a reaction monitoring accessory to the Thermo Scientific™ &nbsp;picoSpin™ 45 or the picoSpin 80 NMR spectrometer gives organic chemistry students valuable hands-on experience of chemical reaction mechanisms, kinetics, &nbsp;thermodynamics, and other physical organic properties to complement the core of your undergraduate chemistry curriculum.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_pico_Spin_Accessories_16_4378eed143.jpg" alt="Thermo Scientific™ picoSpin™ Accessories: Benchtop NMR Reaction Monitoring Accessory" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_pico_Spin_Accessories_16_4378eed143.jpg 198w," sizes="100vw" width="650" height="513">The new reaction monitoring accessory for high-resolution benchtop picoSpin spectrometers uses a pump and computer-actuated valve operator to quickly and automatically direct samples from a chemical reaction to the spectrometer for data acquisition. The instrument generates real-time, information-rich images about the state of the chemical reaction as each NMR spectrum is automatically processed and analyzed.&nbsp;The picoSpin NMR spectrometer’s fluid capillary system is perfectly suited to an online flow configuration; eliminates the need for fragile NMR tubes and messy preparation when the time comes for the next timed sampling of the reaction mixture.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_pico_Spin_Accessories_17_10838af3e0.jpg" alt="Thermo Scientific™ picoSpin™ Accessories: Benchtop NMR Reaction Monitoring Accessory" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_pico_Spin_Accessories_17_10838af3e0.jpg 245w," sizes="100vw" width="650" height="296"><ul><li>Reaction Monitoring lesson plan for teaching</li><li>Low-maintenance NMR accessory</li><li>Real time operation</li><li>Enhance chemistry curriculums</li><li>Provide a richer experience in spectroscopy</li><li>Integrated into an installed picoSpin instrument</li><li>Included as part of a new instrument purchase</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_pico_Spin_Accessories_18_b8591d5e7e.jpg" alt="Thermo Scientific™ picoSpin™ Accessories: Benchtop NMR Reaction Monitoring Accessory" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_pico_Spin_Accessories_18_b8591d5e7e.jpg 245w," sizes="100vw" width="650" height="373"><h4>Thermo Scientific™&nbsp;picoSpin™&nbsp;NMR Classroom Kit for 1/16-inch and 1/32-inch Fittings</h4>Each kit provides sample injection accessories for use with the picoSpin NMR spectrometer. The kits include polypropylene syringes, syringe filters, inlet and outlet port plugs, inline filters, and drain tubes. Also included are easy to use instructions describing sample injection into the picoSpin NMR spectrometer using accessories in this kit.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_pico_Spin_Accessories_5_a6ea2283b8.jpg" alt="Thermo Scientific™ picoSpin™ Accessories: Thermo Scientific™&nbsp;picoSpin™&nbsp;NMR Classroom Kit for 1/16-inch and 1/32-inch Fittings" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_pico_Spin_Accessories_5_a6ea2283b8.jpg 245w," sizes="100vw" width="650" height="321"><h4>Thermo Scientific™&nbsp;picoSpin™ NMR Laboratory Kit for 1/16-inch and 1/32-inch Fittings</h4>Each kit provides sample injection accessories for use with the picoSpin NMR spectrometer. The kits include a 100 μL Hamilton Gastight™ syringe, a 22 gauge blunt-tip needle with inlet port adapter (for 1/16-inch fittings), &nbsp;a 26s gauge blunt-tip needle with inlet port adapter (for 1/32-inch fittings), inline filter, drain tube assembly, and a pair of inlet and outlet port plugs. Instructions describing sample injection into the picoSpin NMR spectrometer using accessories are included.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_pico_Spin_Accessories_7_8a97301229.jpg" alt="Thermo Scientific™ picoSpin™ Accessories: Thermo Scientific™&nbsp;picoSpin™ NMR Laboratory Kit for 1/16-inch and 1/32-inch Fittings" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_pico_Spin_Accessories_7_8a97301229.jpg 245w," sizes="100vw" width="650" height="351"><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_pico_Spin_Accessories_15_0f8ec6822c.jpg" alt="Thermo Scientific™ picoSpin™ Accessories: Thermo Scientific™&nbsp;picoSpin™ NMR Laboratory Kit for 1/16-inch and 1/32-inch Fittings" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_pico_Spin_Accessories_15_0f8ec6822c.jpg 245w," sizes="100vw" width="650" height="292"><h4>Thermo Scientific™&nbsp;picoSpin™ Inline Filter Kit</h4>This kit provides inlet filters for use with the picoSpin NMR spectrometer. The kit includes a 5 replacement, 2 μm stainless steel mesh inlet filters for 1/16-inch fittings.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_pico_Spin_Accessories_4_f203223c20.jpg" alt="Thermo Scientific™ picoSpin™ Accessories: Thermo Scientific™&nbsp;picoSpin™ Inline Filter Kit" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_pico_Spin_Accessories_4_f203223c20.jpg 245w," sizes="100vw" width="650" height="400"><h4>Mnova™ NMR&nbsp;</h4>The Mnova NMR plugin is ideal both for the non-expert NMR user looking for an easy to learn software which delivers quick, high quality results, and for the expert user looking for extensive advanced functionality.<h4>Mnova™&nbsp;NMRPredict Desktop</h4>NMRPredict Desktop allows Prediction of 1D (1H, 13C, 15N, 19F, 31P, 17O, 29Si) and HSQC from molecular structure (mol file, ChemDraw, IsisDraw, ChemSketch) within Mnova. Easily combine and compare experimental and predicted data as part of your workflow and leverage your company’s unique knowledge.<h4>Travel Case for the&nbsp;Thermo Scientific™&nbsp;picoSpin™ 80 NMR</h4>Make the most of system portability with a handy travel case.<h4>Replacement Capillary Cartridge</h4>The replacement Capillary Cartridge includes the fluid sub-panel assembly, the sample capillary, the NMR RF coil and the NMR shim coils. Replacement of the Capillary Cartridge is necessary when the 300 μm ID sample delivery tubing becomes clogged or contaminated. &nbsp;To minimize downtime it is advisable to keep a spare cartridge in stock. &nbsp;The picoSpin Capillary Cartridge comes complete with the tools needed for installation and removal. Capillary cartridges come standard with 1/16-inch fittings. Cartridges with 1/32-inch fittings are available by special order.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_pico_Spin_Accessories_11_c087685ee3.jpg" alt="Thermo Scientific™ picoSpin™ Accessories: Replacement Capillary Cartridge" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_pico_Spin_Accessories_11_c087685ee3.jpg 245w," sizes="100vw" width="650" height="206"><h4>Thermo Scientific™&nbsp;picoSpin™ Cartridge Maintenance Kit for 1/32-inch Fittings</h4>This kit provides accessory items needed to perform maintenance on the capillary inlet filter of the picoSpin NMR spectrometer. &nbsp;The kit includes 1/4” and 3/16” inch open-end box wrenches, 10 replacement 2 μm frit filters, and 2 short pieces of wire to help with the removal of frit. &nbsp;Instructions are included describing how to ‘back-flush’ clean the existing frit filter and how to replace a frit filter.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_pico_Spin_Accessories_14_8f72ac1f3b.jpg" alt="Thermo Scientific™ picoSpin™ Accessories: Thermo Scientific™&nbsp;picoSpin™ Cartridge Maintenance Kit for 1/32-inch Fittings" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_pico_Spin_Accessories_14_8f72ac1f3b.jpg 241w," sizes="100vw" width="650" height="421"></div></div>

Thermo Scientific™ picoSpin™ 45 Series II NMR Spectrometer

Affordable, compact NMR spectrometer for research, education, or QC. 30 μL sample volume, web GUI, auto shimming, replaceable capillary, and 1-year Mnova™ software license included.

<div><div>Get a dedicated NMR spectrometer for your research, manufacturing process, or classroom with the affordable Thermo Scientific™ picoSpin™ 45 Series II NMR Spectrometer. A true breakthrough in chemical instrumentation, the picoSpin 45 occupies only a fraction of the space of a conventional NMR system and requires no specialized training to operate. Simply inject 30 microliters of liquid sample into the internal capillary via front-panel fittings to obtain a high-quality spectrum.The Series II model offers streamlined workflows, a modern web-based interface, automatic shimming, and customizable methods — ideal for both novice and experienced users.A temperature-stabilized permanent magnet ensures consistent, maintenance-free performance with no need for cryogens. NMR data is generated in the industry-standard JCAMP-DX format, compatible with common NMR analysis software. The internal capillary is housed in a replaceable cartridge, allowing users to easily swap it out if blocked or contaminated.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_pico_Spin_80_Series_II_NMR_Spectrometer_0b279c7ee9.jpg" alt="Thermo Scientific™ picoSpin™ 45 Series II NMR Spectrometer" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_pico_Spin_80_Series_II_NMR_Spectrometer_0b279c7ee9.jpg 245w," sizes="100vw" width="2505" height="1157"><h3>Key Features:</h3><ul><li>High-performance, high-resolution, compact, and portable design</li><li>Easy to use — no specialized training required</li><li>Replaceable capillary cartridge</li><li>Microcoil capillary probe</li><li>Fully programmable pulse sequencer</li><li>Ethernet connectivity</li><li>Web-based graphical user interface</li><li>Includes a one-year license for Mnova™ NMR software</li><li>Sample volume: 30 μL</li></ul><h3>Specifications:</h3><ul><li>Capillary Cartridge: 400 µm ID, 30 µL volume, 1/16 in. fittings, user-replaceable</li><li>Electrical Requirements: 100/230 V, 50/60 Hz, 150 W</li><li>Environment: No cryogens or compressed gases required; standard lab environment</li><li>Magnet: Rare earth permanent magnet, 1.1 Tesla, temperature stabilized</li><li>Performance: Larmor Frequency 45 ± 1 MHz (proton), chemical shift resolution ≤ 40 ppb (FWHM)</li><li>Data Output: JCAMP-DX format, compatible with standard NMR programs</li><li>Sample Introduction: Syringe injection</li><li>Dimensions (W × D × H): 14.6 × 17.8 × 29.2 cm (5.75 × 7 × 11.5 in.)</li><li>Weight: 4.8 kg (10.5 lb)</li><li>Unit Size: Each</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Scientific_pico_Spin_45_Series_II_NMR_Spectrometer_34cde1c4c1.jpg" alt="Thermo Scientific™ picoSpin™ 45 Series II NMR Spectrometer" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Scientific_pico_Spin_45_Series_II_NMR_Spectrometer_34cde1c4c1.jpg 245w," sizes="100vw" width="650" height="365"></div></div>

Products focused on NMR from Thermo Fisher Scientific distributed by Thermo Fisher Scientific (EMEA) - page 1

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