In the week of February 16, the following webinars await you in the field of liquid phase and especially HPLC and LC/MS.<blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://lcms.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. Agilent Technologies: From Complex to Simplicity – Get More Peace of Mind on Your HPLC Workflows with InfinityLab Assist</h5><ul><li>Mo, 16.2.2026 11:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5908">Registration</a></li></ul>Discover how Agilent InfinityLab Assist simplifies LC system control with intuitive multitouch operation, guided troubleshooting, and smart monitoring to boost efficiency and reduce downtime.<h5>2. 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Thermo Fisher Scientific: Single Cell and Immunopeptidomics Explorations on Orbitrap Astral MS</h5><ul><li>Th, 19.2.2026 11:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5932">Registration</a></li></ul>Discover how Orbitrap Astral MS and Vanquish Neo HPLC enable deep single-cell proteomics and immunopeptidomics from ultra-low-input clinical samples.<h5>9. Evosep Biosystems: Experimental Design Considerations for Scalable Proteomics</h5><ul><li>Th, 19.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5836">Registration</a></li></ul>Explore best practices for experimental design in LC-MS–based proteomics to build robust, reproducible, and scalable analytical workflows.<h5>10. Waters Corporation: Ask Me Anything About Managing Computerized System Risks to Data Integrity</h5><ul><li>Th, 19.2.2026 17:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5809">Registration</a></li></ul>Learn practical strategies to manage computerized system risks in regulated laboratories and protect data integrity while ensuring compliance.<h5>11. Shimadzu Corporation: Automating a Comprehensive Amino Acid Panel for Inborn Errors of Metabolism</h5><ul><li>Th, 19.2.2026 20:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/5936">Registration</a></li></ul>Discover how Shimadzu’s CLAM-2040 automates LC-MS/MS sample preparation to standardize workflows, reduce manual handling, and improve consistency in clinical labs.

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Imaging of Protein Assemblies up to 231 kDa in Tissues with Nano-DESI Mass Spectrometry

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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SIELC Alltesta Gradient Automated HPLC Analyzer

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SIELC Alltesta Cromite HPLC Analyzer

The Cromite™ Analyzer represents a new generation of affordable and easy-to-learn HPLC instrumentation for schools, colleges and universities.

With automated single-vial injection, high-pressure flow and UV/Vis detection capabilities, scholars can use this instrument to separate compounds, such as vitamins in juices, food dyes, caffeine and active ingredients in pharmaceutical products. The free cloud-connected software allows you to run tests, analyze results and share data from anywhere and with any device.SIELC Technologies provides a vast library of free methods for a variety of compounds, enabling students to characterize and understand the chemical composition of many different products. The Cromite™ Analyzer comes with a column of your choice and all necessary accessories to perform multiple analyses.<blockquote>We offer a special 40% discount for schools. (From 9 000 Eur excl. VAT)</blockquote><h4>Key Characteristics</h4><ul><li>Miniature size (WHL 115 x 190 x 115 mm / 4.5 x 7.5 x 4.5 in)</li><li>Single auto injection</li><li>Pressure up to 4000 psi</li><li>Columns with 3 and 2 mm ID</li><li>Real-time data streaming</li><li>Optical signal monitoring (up to 4 wavelengths simultaneously)</li><li>Continuous pressure monitoring</li><li>Create, store, and access methods, sample information and analysis results in the cloud</li><li>Build calibration from standards, then analyze and quantitate samples</li><li>Start, stop, and edit your analysis remotely from anywhere in the world</li><li>Access your instrument &amp; data via PC, tablet or mobile phone</li><li>Only 2 cables need – power and Ethernet.</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/SIELC_Alltesta_Cromite_Analyzer_39037f4c54.jpg" alt="SIELC: Alltesta™ Cromite Analyzer."><h4>Examples of Alltesta™-based methods</h4><ul><li><a target="_blank" rel="noopener noreferrer" href="https://chrom.app/share/#/samples/12579/injection/22619?t=3f67e3c308cc479085c836cc682e8f1a">HPLC Method of Analysis of Ascorbic Acid</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://chrom.app/share/#/samples/12533/injection/22589/?t=43cad31c0e924440a18874658565c3db">HPLC Method of Analysis of Theobromine, Theophylline, Caffeine and C7</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://chrom.app/share/#/samples/12411/injection/22415/?t=0c93f4eb855c43aebcfd4c3b1fd55ce9">HPLC Method of Analysys of Aspirine</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/HPLC_Method_for_Analysis_of_Phenylephrine_Hydrochloride_1_in_Equate_Nasal_Spray_on_Primesep_100_Column_02f2983c25.pdf">HPLC Method for Analysis of Phenylephrine Hydrochloride 1% in Equate – Nasal Spray</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/HPLC_Method_for_Analysis_of_Rockstar_Zero_Carbs_Energy_Drink_with_Caffeine_and_Taurine_on_Primesep_100_Column_c87a85a0b4.pdf">HPLC Method for Analysis of Rockstar Zero Carbs Energy Drink with Caffeine and Taurine</a></li></ul><h5>Specifications</h5><ul><li>Power Requirements → 110-250 VAC</li><li>Current Requirements → Up to 0.5 A</li><li>Dimensions (WHL) → 115 x 190 x 115 mm / 4.5 x 7.5 x 4.5 in</li><li>Weight → 1.45 kg / 3.15 lb</li><li>Sampling Rate → 20 Samples per second</li><li>Noise Level → Less than 0.05 mAU</li><li>Sync Time → Chromatogram is synced with HPLC Cloud every second</li><li>Operating Temperature → 0 to 40° C, non-condensing</li></ul><h4>Connectors</h4><ul><li>Standard DC 5V (5521) power plug connector</li><li>CAT5 ethernet connector for communication with the software</li></ul>

SIELC Alltesta Mini HPLC Autosampler

The Alltesta™ Mini Autosampler is an affordable and dependable solution for automated sample handling in various analytical and liquid handling applications, including HPLC.

The Alltesta™ Mini Autosampler is an affordable and dependable solution for automated sample handling in various analytical and liquid handling applications, including HPLC. With its proprietary alpha/beta mechanical design, this compact autosampler offers direct and comprehensive control of its features, making integration quick and easy. Users can tailor the mini autosampler to their needs with customizable valve configurations, tray designs, and syringe volumes and pressures. Additionally, a built-in shaking feature enables sample mixing before injection and/or simple sample extraction within the vial.
This compact autosampler comes designed with original equipment manufacturer (OEM) customization in mind. Custom shape, color, and communication interfaces can be adapted to integrate with any system. Comprehensive software integration support is provided. Other options include metal-free sampling and reagent addition and mixing capabilities.
<ul>
<li>FRACTION COLLECTION CAPABILITY: A simple software modification can quickly convert this small autosampler into a fraction collector.
</li>
<li>REACTOR PROBE SAMPLER CAPABILITY: A simple software modification can quickly convert this small autosampler into a reactor probe sampler.
</li>
</ul>
This miniature autosampler can also be used as a component of our <a href="https://lcms.labrulez.com/products/1242">Alltesta™ Gradient Automated Analyzer</a> and <a href="https://lcms.labrulez.com/products/1243">Alltesta™ Cromite Analyzer</a>.
<blockquote>
<h4>The price of the Alltesta™ Mini Autosampler varies depending on the specific configuration requested.</h4>
</blockquote>
<h4>Specifications</h4>
<ul>
<li>Dimensions (WHL): 160 x 145 x 195 mm / 6.3 x 5.71 x 7.68 in</li>
<li>Weight: 3 kg / 6.6 lb</li>
<li>Power: 24 V</li>
<li>Capacity: 48 vials or 96-well plate</li>
<li>Pressure: 5000 psi</li>
<li>Needle Wash: Inside and outside</li>
<li>Syringe Capacity: 120µL high-pressure / 4000µL low-pressure stainless / 4000µL low-pressure ceramic</li>
<li>Valve options: 6×2, 7×6 and 10×9 (more details here).</li>
<li>Volume Accuracy: 0.1µL</li>
<li>Communication: RS232 Virtual COM port via USB</li>
</ul>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/SIELC_Alltesta_Mini_Autosampler_A_very_simple_schematic_operation_of_the_Alltesta_Autosampler_b79b0ad187.jpg" alt="SIELC: Alltesta™ Mini Autosampler - A very simple schematic operation of the Alltesta™ Autosampler."/>
<h4>Software</h4>
The Alltesta™ Autosampler can be controlled:
<ul>
<li>directly via serial commands (Alltesta™ protocol available upon request, please contact us at support@sielc.com),</li>
<li>directly via our demo software, allowing to learn the whole functionality of the unit (<a href="https://sielc.com/wp-content/uploads/2022/12/Alltesta_Autosampler_Control_Windows_10.zip">Windows 10, 32/64bit</a>, 5Mb; <a href="https://sielc.com/wp-content/uploads/2022/12/Alltesta_Autosampler_Control_Windows_7.zip">Windows 7, 32/64bit</a>, 126Mb).</li>
<li>remotely through our cloud software (as a part of Alltesta™ Analyzer or Alltesta™ Mini Analyzer),</li>
</ul>
Serial communication drivers are available <a href="https://ftdichip.com/drivers/vcp-drivers/">here</a>.

SIELC Alltesta Mini High-Pressure Switching HPLC Valve

The Alltesta™ Mini High-Pressure Switching Valve offers versatility and convenience for laboratory fluid management applications.

The Alltesta™ Mini High-Pressure Switching Valve offers versatility and convenience for laboratory fluid management applications. It features flexible flow switching at varying flow rates and can be used independently or as part of the <a href="https://lcms.labrulez.com/products/124">Alltesta™ Analyzer</a> or <a href="https://lcms.labrulez.com/products/1244">Alltesta™ Autosampler</a>.
With customizable options, including up to 10 available ports on the stator, the valve can be tailored to specific needs. It is built to handle pressures up to 5000 psi (350 bar) and boasts a fast 60 degree switch time of 200 milliseconds.
<h4>Specifications</h4>
<ul>
<li>Power requirements: USB type B</li>
<li>Dimensions (WHL): 63 x 46 x 128 mm / 2.48 x 1.81 x 5.04 in</li>
<li>Weight: 0.45 kg / 0.95 lb</li>
<li>Switching speed for 60 degree: 200 ms</li>
<li>Max pressure: 350 bar (5000 psi)</li>
<li>Ports style: 10-32 thread with conical 1/16″ tube compression type seal</li>
<li>Materials in contact with liquid: coated SS316, Vespel® or PEEK or PTFE</li>
</ul>
<h4>Available Configurations</h4>
<ul>
<li>6x2 Valve</li>
<li>7x6 Valve</li>
<li>10x9 Valve</li>
</ul>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/SIELC_SIELC_Alltesta_Mini_High_Pressure_Switching_Valve_Available_Configurations_72e3b13ea2.jpg" alt="SIELC: SIELC Alltesta™ Mini High-Pressure Switching Valve - Available Configurations."/>
<h4>Software</h4>
The Alltesta™ High-Pressure Switching Valve can be controlled:
<ul>
<li>directly via serial commands (option with greatest flexibility, Alltesta™ protocol available upon request, please contact us at support@sielc.com),</li>
<li>directly via our software, allowing to use the whole functionality of the unit without the need for automation (<a href="https://sielc.com/wp-content/uploads/2022/12/Alltesta_Valve_Control_Windows_10.zip">Windows 10, 32/64bit</a>, 6 Mb, <a href="https://sielc.com/wp-content/uploads/2022/12/Alltesta_Valve_Control_Windows_7.zip">Windows 7, 32/64 bit</a>, 127 Mb),</li>
<li>remotely through our cloud software (as a part of <a href="https://lcms.labrulez.com/products/1242">Alltesta™ Analyzer</a>)</li>
<li>operator may also simply press the button on the front of the device to switch it to the next position</li>
</ul>
Serial Communication Drivers are available <a href="https://ftdichip.com/drivers/vcp-drivers/">here</a>.
<h4>Available Custom Options</h4>
<ul>
<li>A High-flow version of the valve (preparative) is available</li>
<li>A metal-free version of the valve is also available.</li>
</ul>
<h4>Valve Rotor Position Indication</h4>
LED color indicates the valve’s rotor position. By pressing the LED, the rotor can be advanced by one position. Depending on the valve configuration, the second press will either advance the rotor forward or backward. Position 1 – LED Green Position 2 – LED Navy Position 3 – LED Purple Position 4 – LED Blue Position 5 – LED Red Position 6 – LED White
<h4>Applications</h4>
<ul>
<li>Column Switching</li>
<li>Solvent Selection</li>
<li>Sample Injection</li>
<li>Sample Cleaning</li>
</ul>

SIELC Alltesta™ Mini LHS (Liquid Handling Station)

The Alltesta™ Mini Liquid Handling Station serves as an affordable, reliable solution for automated sample handling.

The Alltesta™ Mini Liquid Handling Station serves as an affordable, reliable solution for automated sample handling. With its compact design, proprietary alpha/beta mechanical structure, and adjustable operation speeds, it offers comprehensive control for quick and seamless integration with other equipment. The station comes equipped with a built-in sample shaking feature for in-vial sample mixing and extraction, and a needle washing station capable of accommodating up to four solvents.
Designed with Original Equipment Manufacturer (OEM) customization in mind, the Alltesta™ Mini Liquid Handling Station can be tailored to fit any system’s requirements. Custom needle lengths and trays enable the device to accommodate various types of vials. An array of integrated valves and a measuring syringe can be added to the device. Additional customization options, such as metal-free flow paths and customer-specified enclosure colors, are also available.
Comprehensive software integration support is provided to ensure smooth operation and functionality.
<h4>Specifications</h4>
<ul>
<li>Dimensions (WHL): 160 x 145 x 195 mm / 6.3 x 5.71 x 7.68 in</li>
<li>Weight: 2.25 kg / 5 lb</li>
<li>Power: 24 V</li>
<li>Capacity: 48-vial tray or 96-well plate</li>
<li>Needle Wash: Inside and Outside</li>
<li>Communication: RS232 Virtual COM port via USB</li>
</ul>
<h4>Software</h4>
The Alltesta™ LHS can be fully controlled via serial commands. Alltesta™ protocol available upon request, please contact us at support@sielc.com. Serial communication drivers are available <a href="https://ftdichip.com/drivers/vcp-drivers/">here</a>.

SIELC Alltesta Mini Syringe Pump

Alltesta™ Ultra High Pressure Mini Syringe Pump is designed to produce a steady, high pressure, pulsation-free flow, so there is no need for bulky dampeners, mixers, and precision check valve arrangements.

Alltesta™ Ultra High Pressure Mini Syringe Pump is designed to produce a steady, high pressure, pulsation-free flow, so there is no need for bulky dampeners, mixers, and precision check valve arrangements. It can refill prior to each run in less than a minute, and can produce flow rates from as low 1 μL/min to as fast as 4000 μL/min with pressure up to 4000 psi (285 bar).
The Mini Syringe Pump allows for several communication options via its USB/Serial port. Just like the rest of our Alltesta™ line of devices, our serial protocol allows to control and automate every function of the device. We also provide free Windows-based software allowing full control of the device.
<h4>Specifications</h4>
<ul>
<li>Syringe volume: 5.8 mL</li>
<li>Power Requirements 24 VDC</li>
<li>Current Requirements Up to 1.5 A</li>
<li>Dimensions (WHL) 63x167x128 mm / 2.48×6.57×5.04 in</li>
<li>Weight 1.65 kg / 3.7 lb</li>
<li>Flow Rate Range 0.001 to 4 mL/min</li>
<li>Speed Accuracy 1% of full-scale</li>
<li>Linearity Full Range 0.001 to 4.0 mL/min</li>
<li>Pressure 4000 psi (285 bar) continuous</li>
<li>Pressure accuracy ±1 psi</li>
<li>Operating Temperature 0 to 40° C, non-condensing</li>
<li>Inlet/Outlet Thread 10-32 UNF compression type</li>
<li>Materials in contact with liquid SS316, PTFE, PEEK</li>
<li>Communication USB virtual serial port</li>
</ul>
<h4>Software</h4>
The Mini Syringe Pump can be controlled:
<ul>
<li>directly through your software via serial commands (Alltesta™ protocol available upon request, please contact us at support@sielc.com),</li>
<li>remotely through our cloud software (as a part of <a href="https://lcms.labrulez.com/products/1242">Alltesta™ Gradient Automated Analyzer</a> and <a href="https://lcms.labrulez.com/products/1243">Alltesta™ Cromite Analyzer</a>.),</li>
<li>directly via our demo software, allowing to learn the whole functionality of the unit (<a href="https://sielc.com/wp-content/uploads/2022/12/Alltesta_Pump_Control_Windows_10.zip">Windows 10, 32/64bit</a>, 5Mb; <a href="https://sielc.com/wp-content/uploads/2022/12/Alltesta_Pump_Control_Windows_7.zip">Windows 7, 32/64bit</a>, 126Mb)</li>
</ul>
Serial Communication Drivers are available <a href="https://ftdichip.com/drivers/vcp-drivers/">here</a>.
<h4>Available Custom Options</h4>
Metal-free version of the pump includes no metal contact pump head and can be operated up to 4000 psi.

SIELC Alltesta Mini UV-Vis Detector

The Alltesta™ UV-Vis Multi-wavelength Mini Detector is a compact and versatile device that can continuously monitor the optical properties of solutions flowing through it.

The Alltesta™ UV-Vis Multi-wavelength Mini Detector is a compact and versatile device that can continuously monitor the optical properties of solutions flowing through it. The Mini Detector is ideal for use in HPLC, Flow Injection Analysis (FIA), and preparative and flash chromatography.
The device comes standard with four different wavelength channels, including 470 nm (Blue), 520 nm (Green), 630 nm (Red), and a choice between 255 nm or 275 nm for the UV channel. The Mini Detector features a simple setup process with a USB interface that allows it to communicate with the <a href="https://lcms.labrulez.com/products/1242">Alltesta™ Gradient Automated Analyzer</a> or <a href="https://lcms.labrulez.com/products/1243">Alltesta™ Cromite Analyzer</a> or integrate with other instrumentation.
Powered solely by its USB port, this mini detector is capable of monitoring multiple analytes simultaneously. It has a low optical cell volume of &lt; 3 µL, which results in minimal dispersion even at low flow rates, and can collect data at rates of up to 20 sps for all four channels, making it suitable for demanding applications. The Mini Detector boasts low noise and linearity over more than 4 orders of magnitude.
In addition to its compact size and versatility, the Mini Detector also has zero warm-up time and exceptional durability. The detector cell volume is available in two sizes: 3 μL and 10 μL.
<h4>Specifications</h4>
<ul>
<li>Dimensions (WHL): 63 x 46 x 116 mm / 2.48 x 1.81 x 4.57 in</li>
<li>Weight: 0.25 kg / 0.55 lb</li>
<li>Sample Cell Volume: &lt; 3µL</li>
<li>Cell Optical Path: 7.0mm</li>
<li>Liquid Ports: 10-32 UNF</li>
<li>Wavelength Range: 250nm &amp; up</li>
<li>Simultaneous Wavelengths: Up to 4</li>
<li>Data Rate: 20 sps</li>
<li>Noise Level: 0.03 mAU</li>
<li>Power: USB Type B</li>
</ul>
<h4>Software</h4>
The Multi-wavelength Detector can be controlled:
<ul>
<li>directly via serial commands (Alltesta™ protocol available upon request, please contact us at support@sielc.com),</li>
<li>directly via our demo software, allowing to learn the whole functionality of the unit (<a href="https://sielc.com/wp-content/uploads/2022/12/Alltesta_Detector_Control_Windows_10.zip">Windows 10, 32/64bit</a>, 5Mb, <a href="https://sielc.com/wp-content/uploads/2022/12/Alltesta_Detector_Control_Windows_7.zip">Windows 7, 32/64bit</a>, 127Mb)</li>
<li>remotely through our cloud software (as a part of <a href="https://lcms.labrulez.com/products/1242">Alltesta™ Gradient Automated Analyzer</a> and <a href="https://lcms.labrulez.com/products/1243">Alltesta™ Cromite Analyzer</a>).</li>
</ul>
Serial Communication Drivers are available <a href="https://ftdichip.com/drivers/vcp-drivers/">here</a>.

SIELC Alltesta Power Tower for HPLC Alltesta

The Alltesta™ Power Tower acts as a power supply and chromatography data acquisition device, connecting, controlling, and streaming your Alltesta™ devices to our free cloud software at hplc.cloud.

The Alltesta™ Power Tower acts as a power supply and chromatography data acquisition device, connecting, controlling, and streaming your Alltesta™ devices to our free <a href="https://lcms.labrulez.com/products/1250">cloud software</a> at <a href="https://hplc.cloud/">hplc.cloud</a>. It serves as a bridge between your laboratory and a centralized data storage hub. With the Power Tower and your free HPLC.cloud subscription, you can access your equipment and experiment results from anywhere, on any device, at any time, using any interface!
<h4>Specifications</h4>
<ul>
<li>Voltage Range: 80 ~ 264VAC</li>
<li>Rated Power: 140W</li>
<li>Dimensions (WHL) - 61 x 115 x 255 mm / 2.4 x 4.53 x 10.04 in</li>
<li>Weight: 1.05 kg / 2.3 lb</li>
<li>Sampling Rate: 20 Samples per second</li>
<li>Resolution: -1 to 2.5V that corresponds to -1000 to 2500mAU</li>
<li>Noise Level: Less than 0.05mAU</li>
<li>Sync Time: Chromatogram is synced with HPLC Cloud every second</li>
<li>Operating Temperature: 0 to 40° C, non-condensing</li>
</ul>
<h4>Ports</h4>
<ul>
<li>4 USB-A</li>
<li>4 Power outputs 24V, 2A</li>
<li>1 CAT5 ethernet connector</li>
<li>1 Galvanic isolated analog input -1V to +2.5V</li>
</ul>
<h4>Key Functionality</h4>
Start &amp; stop injections; analyze chromatograms; control the detector, valve, autosampler, and pump via HPLC.cloud
<ul>
<li>Real-time chromatogram streaming</li>
<li>Connect up to 4 Alltesta™ units via 4 USB ports</li>
<li>Build and record sequences</li>
<li>Create and store methods</li>
<li>Keep your sample information and analysis results in the cloud, never lose your data</li>
<li>Build calibrations from standards, then analyze and quantitate samples</li>
<li>Start, stop, and edit your analysis remotely from anywhere in the world</li>
<li>Access your data via PC, tablet, or mobile phone</li>
<li>Search your results online</li>
</ul>

Products focused on HPLC from SIELC - page 1

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