<h5>Why compromise between performance and price when you can have both?</h5>With Thermo Scientific factory-certified, pre-owned <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products?category=5&amp;manufacturerItems=3">mass spectrometers</a>, you can access legendary LC-MS technology—trusted around the world—at a fraction of the cost of buying new. Our refurb program delivers the quality, precision, and reliability you expect from Thermo Fisher Scientific, while helping you stay within budget and on top of your analytical goals.<h3>Factory-Certified for confidence</h3>Every certified pre-owned system goes through a rigorous factory reconditioning process. 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That’s why Thermo Fisher offers multiple paths to help you acquire the right mass spectrometry solution, when you need it.<h4>1. <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/content/lifetech/global/en/home/industrial/mass-spectrometry/mass-spectrometer-price-affordability-programs/factory-certified-refurbished-mass-spectrometers.html">Factory-certified refurbished systems</a></h4>Already covered above, this option gives you fully reconditioned, factory-tested LC-MS instruments at a lower price point—without compromising performance or support.View our brochure for a comprehensive overview.<h4>2. <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/content/lifetech/global/en/home/industrial/mass-spectrometry/mass-spectrometer-price-affordability-programs/mass-spectrometer-trade-upgrade.html">Trade-in and trade-up</a>: Turn your old into increased productivity</h4>Already own a system—Thermo Fisher or otherwise? 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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

<h3><a target="_blank" rel="noopener noreferrer" href="https://www.isc2026.org/">ISC 2026</a></h3>The <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/companies/314">International Symposium on Chromatography (ISC)</a> represents the oldest conference series on separation science. ISC symposia have been organised since 1956 in each even year. ISC is one of the premier meetings series for discussion of all modes of chromatography and separation science with a broad coverage of techniques and applications.The major focus of the symposium will be on the impact of chromatography and separation science to meet the needs of the pharmaceutical, environmental, food and health industry, as well as science and medicine. The symposium programme will reflect these themes and highlight new challenges and emerging opportunities for the science and marketing of separation and detection systems and methods.As an integral part of the scientific programme of lectures and poster sessions, an international exhibition and vendor seminars on instrumentation and services for chromatography, separation science and mass spectrometry will be organised. 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This chromatographic mode is more and more widely used in pharmaceutical analysis, biopharmaceutical characterization, and, above all, metabolomics, where enhanced retention, improved MS sensitivity, and complementary selectivity are indispensable. Despite its power, HILIC remains perceived as complex due to its mixed retention mechanisms, sensitivity to experimental conditions, and limited repeatability. A dedicated short course is therefore required to help users understand this technique in a robust and efficient way.This course will provide an in-depth and practical overview of HILIC fundamentals, starting with a discussion of the relatively complex retention mechanism. Particular emphasis will be placed on critical operational parameters such as sample diluent effects, which can drastically impact peak shape and retention, and on achieving good repeatability in gradient mode.Participants will also learn how coupling HILIC with MS can maximize sensitivity, and how to select both mobile phase components and stationary phases to obtain reliable and reproducible separations. Numerous applications will be covered, including typical small-molecule analyses, comprehensive metabolomic workflows, and the characterization of large biopolymers such as oligonucleotides, peptides, and proteins.In the end, this short course will help participants to confidently implement and troubleshoot HILIC in modern analytical laboratories.<h4>Lecturers</h4><h5><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/articles?search=Davy+Guillarme">Davy Guillarme</a></h5><ul><li>Davy Guillarme currently serves as an associate professor at the University of Geneva in Switzerland. With over 350 published journal his expertise spans various techniques, including UHPLC, HILIC, LC−MS, SFC, SFC-MS, multidimensional LC, and application to the characterization of biopharmaceuticals.</li><li>He is an editor of the Journal of Chromatography A and serves on the editorial advisory board of various other journals.</li><li>Davy Guillarme has been honored with the LC-GC Emerging Leader Award in Chromatography (2013), the Jubilee Medal from the Chromatographic Society (2018), the International Award of the Belgian Society of Pharmaceutical Sciences (2022) and the Csaba Horvath memorial award (2025).</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ISC_2026_Davy_Guillarme_c54bb7dd40.jpg" alt="ISC 2026: Davy Guillarme" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ISC_2026_Davy_Guillarme_c54bb7dd40.jpg 156w," sizes="100vw" width="500" height="500">

ISC 2026 Short Course 4 - Hydrophilic Interaction Liquid Chromatography

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The International Symposium on Chromatography (ISC) represents the oldest conference series focussing on separation science. ISC symposia have been organised since 1956 in each even year. ISC is internationally recognised as one of the premier meeting series for discussion of all modes of chromatography and separation science with a broad coverage of techniques and applications.

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 KNAUER offers about 6,000 columns for analytical HPLC and UHPLC applications as well as for purification tasks in the preparative scale. 

Columns for analytical HPLC, UHPLC, preparative HPLC and GPCIn the field of analytical HPLC columns we can offer a solution for nearly any analytical separation task. KNAUER offers about 6,000 columns for analytical HPLC and UHPLC applications as well as for purification tasks in the preparative scale.<h3>Which column do you need?</h3><h4>(U)HPLC of small molecules</h4>Silica gel based KNAUER columns for HPLC and UHPLC in the most often used separation modes:&nbsp;<ul><li>Reversed Phase (RP)</li><li>Normal Phase (NP)</li><li>Hydrophilic Interaction Liquid Chromatography (HILIC)</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Knauer_LC_Columns_1_b84b390b6b.jpg" alt="Knauer: LC RP Columns " srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Knauer_LC_Columns_1_b84b390b6b.jpg 245w," sizes="100vw" width="779" height="466"><h4>Enantioseparation of racemates</h4>Chiral HPLC columns - Available in a wide range of dimensions for analytical, preparative and SMB (simulated moving bed) applications, Eurospher II Chiral columns are the perfect choice for even the most challenging enantioseparation tasks.As chiral separations are not very well predictable, KNAUER offers a chiral screening service for your Samples.&nbsp;<h4>HPLC of sugars, organic acids and alcohols</h4>Ion exclusion and ligand exchange columns - Based on a sulfonated cross-linked styrenedivinylbenzene copolymer and available in several ionic forms (H, Ca, Pb and Ag). This particular cation exchanger is characterized by an outstanding density of functional groups, making it the ideal choice for your ion exclusion, size exclusion and ligand exchange chromatography.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Knauer_LC_Columns_4_with_precolumn_short_aaee66b110.jpg" alt="Knauer: LC Columns - 4 with precolumn-short" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Knauer_LC_Columns_4_with_precolumn_short_aaee66b110.jpg 245w," sizes="100vw" width="1330" height="580"><h4>HPLC of Biomolecules</h4>Analytical wide pore HPLC columns - The use of larger pore silica-based bonded phases leads to improvements in resolution, capacity and recovery of proteins and other biomolecules, due to a reduction in size exclusion mechanism and enhanced molecular diffusion rates. A pore size of 300 Å has become the accepted standard for wide pore silica gels because it has been found to be suitable for a broad range of molecular weight proteins, peptides and oligonucleotides. In general, peptides exceeding approximately 50 amino acids and oligonucleotides greater than 25 residues are preferentially analyzed on 300 Å materials.<h4>GPC/SEC columns</h4><ul><li>AppliChrom® GPC/SEC columns for biopolymers and aqueous&nbsp;polymers</li><li>AppliChrom® GPC columns for GPC analysis of organic molecules using THF, toluene, chloroform</li><li>AppliChrom GPC columns for GPC analysis organic (DMAc or DMF)</li><li>Optimized for DMSO-GPC applications</li><li>Special GPC/SEC-columns for aqueous analysis of neutral, anionic and additional cationic polymers</li></ul><h4>Preparative HPLC Column hardware</h4>Preparative HPLC columns can be offered with two different hardware types:<ul><li>Versatile standard flanged hardware for nearly any application task in batch chromatography</li><li>dAX Hardware with static and dynamic axial compression for an extended lifetime and multi-column chromatography like SMB processes</li></ul><h4>Analytical HPLC Column hardware</h4>Available analytical HPLC column dimensions - Analytical KNAUER columns with ID 3, 4 and 4.6 mm are available with and without integrated precolumn.Every KNAUER column is tested separately to guarantee highest quality. We highly recommend using a precolumn to protect the valuable main column and extend the lifetime significantly.&nbsp;Afraid that a precolumn adds volume to your system and deteriorates your results?KNAUER columns that are delivered with an integrated precolumn are also tested in this configuration so that the user can be sure about the function and quality. The same quality standards as for columns without integrated precolumn apply. KNAUER guarantees that there is no loss in performance when a precolumn is integrated properly.Exchanging the precolumn is very easy! Klick the button below to get an instruction.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Knauer_LC_Columns_available_dimensions_chart_0c73a3271d.jpg" alt="Knauer: LC Columns - available dimensions chart" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Knauer_LC_Columns_available_dimensions_chart_0c73a3271d.jpg 218w," sizes="100vw" width="755" height="541"><h4>FPLC columns</h4>Agarose nad dextran-based FPLC columns fo protein prurificationHigh-quality FPLC columns to reach your purification goal - KNAUER Sepapure® FPLC columns&nbsp;Sepapure® FPLC columns and resins for all common protein purification tasks: size exclusion chromatography (SEC), affinity chromatography (AC) and ion-exchange chromatography (IEX)<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Knauer_LC_Columns_SEPAPURE_Q_FF_2f1fef3613.jpg" alt="Knauer: LC Columns - SEPAPURE Q FF" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Knauer_LC_Columns_SEPAPURE_Q_FF_2f1fef3613.jpg 240w," sizes="100vw" width="947" height="616"><h3>KNAUER LC column brands</h3><h4>Eurospher I</h4><ul><li>HPLC columns for every day</li><li>Suited for a wide range of analytical, semi-preparative and process scale separations in normal phase and reversed phase mode.</li></ul><h4>Eurospher II:&nbsp;</h4><ul><li>Advanced HPLC / UHPLC columns</li><li>Eurospher II is introduced as the new workhorse for an even wider range of application areas, suitable for analytical, semi-preparative and process-scale separations.</li><li>The logical choice to take on routine analyses as well as the most ambitious chromatoraphy tasks.</li></ul><h4>Eurospher II Chiral</h4><ul><li>Enantioseparation of racemates</li><li>The chiral stationary phases (CSPs) of KNAUER’s Eurospher® II Chiral HPLC columns were designed to tackle a wide range of chiral separation tasks.</li></ul><h4>Eurosil Bioselect</h4><ul><li>HPLC columns for bioanalytics</li><li>Eurosil Bioselect columns feature a wide-pore stationary phase and were specifically designed to separate large biomolecules such as proteins and peptides.</li></ul><h4>Eurokat</h4><ul><li>HPLC columns for food analysis</li><li>Eurokat columns are valuable for food analysis and especially developed for the separation of organic acids, carbonhydrates, alcohols and even complex mixtures of these compounds.</li></ul>

KNAUER Eurospher II 100 C8 & C8A (U)HPLC Columns (USP L7)

C8 is a silica gel based stationary phase in reversed phase mode with alternative selectivity compared to C18 phases. 

Classical and hydrophilic/aqueous C8 columns for HPLC and UHPLC (USP L7)C8 is a silica gel based stationary phase in reversed phase mode with alternative selectivity compared to C18 phases. Compared to C18 phases, these columns show less retention due to the lower hydrophobicity.<ul><li>Ultra pure, spherical high performance HPLC phase based on silica gel</li><li>Monomeric C8 (Octyl) modification, standard endcapping, with 10 % carbon content (~ 50 % endcapping)</li></ul><h5>Properties</h5><ul><li>Separation mechanism: Hydrophobic interaction(lower compared to C18 phases)</li></ul><h5>Key features</h5><ul><li>Classical C8 phase, standard 50 % endcapping and 10 % carbon load, outstanding mechanical and chemical stability, suited for analytical as well as semi preparative and preparative applications.</li></ul><h5>Recommended application areas</h5><ul><li>Similar selectivity to C18 phase but less retention due to the lower hydrophobicity; useful for determination of:<ul><li>Water soluble vitamins</li><li>Steroids</li><li>Catecholamines</li><li>Sedatives</li></ul></li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/KNAUER_C8_rp_non_endcapped_3f7727d3fd.webp" alt="KNAUER: C8 RP Non-endcapped" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_KNAUER_C8_rp_non_endcapped_3f7727d3fd.webp 148w," sizes="100vw" width="304" height="321">Hydrophilic C8A phase offers an alternative, more polar selectivity. It is suited for highly polar reversed phase applications with up to 100 % aqueous mobile phases.&nbsp;<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/KNAUER_C8_A_e1f371165e.webp" alt="KNAUER: C8A" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_KNAUER_C8_A_e1f371165e.webp 198w," sizes="100vw" width="473" height="373"><blockquote>Tip: Caution! Even for short term storage all buffer solutions have to be rinsed from the column to prevent crystallization effects.</blockquote>Stationary phases Eurospher II 100 C8 and C8A are provided in these column types: analytical, semi-preparative and preparative.Eurospher II 100 C8 and C8A Analytical Columns are available with these parameters:<ul><li>Column length (mm): 50, 100, 150, 250</li><li>Column ID (mm): 2, 3, 4, 4.6</li><li>Particle size (µm): 2, 3, 5</li></ul>Eurospher II 100 C8 and C8A Semi-Preparative Standard Columns are available with these parameters:<ul><li>Column length (mm): 30, 50, 125, 150, 250</li><li>Column ID (mm): 8, 16</li><li>Particle size (µm): 5, 10</li></ul><h3>KNAUER (U)HPLC Columns</h3>Widest range of HPLC and UHPLC columns for all separation modes and applications.<ul><li>Safe Investment: Robust and reliable columns for attractive price&nbsp;</li><li>Separation Mode: Reversed Phase, HILIC, Normale</li><li>Simplicity: Easy purchase via our online store with fast delivery</li><li>Application: All-rounder for research or highly specialised for high-throughput analysis? We have the best column for your requirements.</li><li>Flexibility: Wide selection of column and particle sizes, for (U)HPLC applications up to 1000 bar</li></ul>KNAUER offers the perfect column for any small molecule separation. No matter which separation mode, molecule and the mobile phase, we offer a suitable (U)HPLC stationary phase. Choose from a wide range of modifications, particle sizes and column dimensions to suit your application. To elongate the lifetime of your column, you can choose to use a suitable precolumn.<figure class="image"><img style="aspect-ratio:787/674;" src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/KNAUER_KNAUER_U_HPLC_C8_and_C8_A_Columns_083c60f401.webp" alt="KNAUER: KNAUER (U)HPLC Columns" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_KNAUER_KNAUER_U_HPLC_C8_and_C8_A_Columns_083c60f401.webp 182w," sizes="100vw" width="787" height="674"></figure>

Products focused on Consumables distributed by KNAUER - page 6

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