<h3><strong>How are PFAS regulations changing, and what role will ion chromatography play in the future of environmental testing?</strong></h3><p>In this episode, &nbsp;David interviews <strong>Jay Gandhi, PhD, </strong>Vertical Markets Manager at <strong>Metrohm USA</strong>, for an in-depth discussion on PFAS analysis, the rise of AOF (Adsorbable Organic Fluorine) testing, and the development of EPA 1621 and ISO 18127 standards.</p><p>With more than 30 years of experience in ion chromatography, Jay shares valuable perspective on how the field has evolved—from early applications and NASA water recovery projects to today’s challenges involving PFAS, TFA, and emerging contaminants.</p><h4><strong>Topics covered in this episode include:</strong></h4><ul><li>What PFAS are and why they matter</li><li>The difference between targeted PFAS methods and AOF analysis</li><li>How combustion ion chromatography works</li><li>Behind the scenes of EPA 1621 and ISO 18127 method development</li><li>Regulatory trends in water, textiles, and food packaging</li><li>TFA analysis using IC-MS and IC-MS/MS</li><li>The future of ion chromatography in environmental labs</li></ul><h3><strong>Video Transcription</strong></h3><p>For more than three decades, Jay Gandhi has worked with ion chromatography (IC), watching the technique expand from a specialized tool for water analysis into an analytical platform used across environmental testing, food and beverage analysis, semiconductor manufacturing, battery applications, and, increasingly, PFAS analysis.</p><p>In an interview for <i>Concentrating on Chromatography</i>, Gandhi discusses his introduction to IC during his work on a NASA Mars exploration project, the emergence of PFAS as a major analytical challenge, and why techniques such as adsorbable organic fluorine (AOF) determination and combustion ion chromatography (CIC) can provide information that targeted LC-MS analysis alone cannot deliver. He also examines the development of standardized methods, sample preparation challenges, and the future role of IC-MS and total fluorine approaches in PFAS monitoring.</p><h4><strong>From NASA to ion chromatography</strong></h4><p>Gandhi's introduction to ion chromatography came through his work as a principal scientist on a NASA Mars exploration project focused on water recovery under zero-gravity conditions. IC played an important role because it enabled researchers to establish the ionic balance of anions and cations in water.</p><p>The technology was used both to investigate micronutrients relevant to agricultural applications and to evaluate water purity for potential astronaut consumption. During approximately three years of this work, Gandhi gained extensive experience with ion chromatography. This ultimately led him deeper into IC instrumentation and, 24 years ago, to joining Metrohm.</p><p>At the beginning of his career, IC was strongly associated with relatively straightforward anion and cation analysis in water. The technique itself had been used for water analysis since the 1970s, but Gandhi has seen its application range expand dramatically.</p><p>Food and beverage testing and environmental analysis became important fields, supported by both direct and indirect detection strategies. More recently, IC has also found applications in areas such as the semiconductor industry and battery recycling.</p><p>In Gandhi's words, ion chromatography has effectively "bloomed" into numerous application areas.</p><h4><strong>PFAS changes the analytical challenge</strong></h4><p>PFAS represent a particularly important chapter in this development. These chemicals have been used for decades in numerous consumer and industrial products, including non-stick materials, firefighting foams, water-resistant textiles and other applications.</p><p>Gandhi recalls work on PFOA and PFOS using ion chromatography with conductivity detection as early as 2008. However, the achievable detection limits were insufficient for the extremely low concentrations that later became important in PFAS analysis.</p><p>A major turning point for him came in 2015, when he encountered research from Sweden using <strong>combustion ion chromatography to investigate total fluorine</strong>. Subsequent collaboration with researchers at Clarkson University and Harvard University, particularly on aqueous film-forming foam (AFFF), further demonstrated the importance of looking beyond individual targeted PFAS compounds.</p><h4><strong>Why targeted LC-MS does not tell the whole story</strong></h4><p>Targeted LC-MS is highly sensitive and selective and can provide detailed information about individual PFAS compounds. However, according to Gandhi, the number of possible PFAS structures in the environment is vastly greater than the number routinely included in targeted methods.</p><p>A targeted method may monitor dozens or perhaps around one hundred compounds, while the overall PFAS universe can include thousands of chemical structures. Consequently, targeted analysis may characterize only a small fraction of the total PFAS burden.</p><p>There are other practical considerations. LC-MS measurements can be affected by matrix-dependent ion suppression, while accurate quantification frequently relies on isotope-labelled internal standards. Such standards are available for only a limited number of compounds and can be expensive.</p><p>This is where measurements of total or adsorbable organic fluorine can provide complementary information. Rather than asking <i>which specific PFAS compounds are present?</i>, these approaches can help answer a broader question: <i>how much fluorine associated with this chemical space is present in the sample?</i></p><h4><strong>AOF as a complementary approach</strong></h4><p>Adsorbable organic fluorine analysis provides a different perspective from targeted LC-MS. In the workflow discussed by Gandhi, organic fluorine compounds are captured during sample preparation and subsequently measured using combustion ion chromatography.</p><p>The principle of CIC builds upon older total organic halogen analysis. The sample is combusted at temperatures above approximately 1,000 °C, breaking carbon-halogen bonds. In PFAS-related analysis, carbon-fluorine bonds are broken and the resulting fluoride is collected in an absorption solution.</p><p>Ion chromatography is then used to separate and quantify the fluoride.</p><p>Replacing older detection approaches with IC provides both sensitivity and selectivity for the halogens being measured. Effective combustion is critical: oxygen supports the combustion process, while a carrier gas transports the products into the absorption solution for subsequent IC analysis.</p><h4><strong>The challenge of inorganic fluoride</strong></h4><p>The broad response of CIC is simultaneously one of its strengths and one of its analytical challenges. Combustion does not distinguish fluorine originating from PFAS from fluorine present in inorganic compounds such as fluoride salts.</p><p>This becomes particularly important when analyzing water containing relatively high concentrations of inorganic fluoride while attempting to quantify organic fluorine at very low levels.</p><p>Sample preparation therefore has a critical role. Inorganic fluoride must be effectively separated from the fraction of interest, while materials used during sample preparation must themselves have sufficiently low fluoride backgrounds.</p><p>Contamination can come from unexpected sources. Gandhi points out that background fluoride may originate not only from reagents and sample preparation materials but potentially from the laboratory environment. Careful blank control, appropriate materials and rigorous evaluation of interferences are therefore essential when moving toward increasingly low detection limits.</p><h4><strong>From research method to international standardization</strong></h4><p>The development of standardized AOF methods illustrates the importance of collaboration between academia, industry, regulatory organizations and analytical laboratories.</p><p>Gandhi describes work that began in Europe around 2015 and subsequently progressed through German standardization activities, ISO development, ASTM-related collaboration and the U.S. EPA. The process eventually contributed to methods such as <strong>EPA Method 1621</strong>.</p><p>He emphasizes that this was not the work of a single scientist or organization. Developing a robust method required years of experiments, discussions and sometimes difficult technical debates among numerous stakeholders.</p><p>For Gandhi, the essential principle was that experimental evidence ultimately had to determine the outcome. Collaboration becomes possible when scientists focus on the data rather than the organizations they represent.</p><h4><strong>PFAS monitoring is moving beyond drinking water</strong></h4><p>Regulatory attention to PFAS is also expanding beyond drinking water. Gandhi describes a broader strategy that begins with reducing the manufacture and use of PFAS-containing materials and continues with removing existing contamination from the environment.</p><p>Wastewater represents an important part of this picture because PFAS can enter it from numerous sources. Historical contamination from landfills and contaminated sites can also migrate into groundwater and ultimately affect drinking-water supplies.</p><p>Consumer products are another area of increasing attention. Food packaging, disposable containers, automotive fabrics, outdoor clothing and water-repellent textiles have historically used fluorinated substances to provide properties such as grease, water or stain resistance.</p><p>Reducing PFAS use in such products could therefore gradually decrease the amount entering waste streams and the wider environment.</p><h4><strong>Screening first, regulation later?</strong></h4><p>Gandhi expects AOF to be particularly valuable as a <strong>screening tool</strong>, providing an estimate of broader fluorine contamination before laboratories proceed to more specific analyses.</p><p>Its importance becomes clear when AOF results are compared with targeted PFAS measurements. Gandhi reports that laboratories working with EPA Method 1621 have observed differences between targeted PFAS results and broader AOF measurements ranging from approximately <strong>300- to 4,000-fold in the total fluorine mass balance</strong>.</p><p>Such discrepancies suggest that targeted methods can leave a substantial portion of fluorine unexplained.</p><p>Rather than competing with LC-MS, AOF and CIC therefore provide complementary information. A broad screening method can reveal the magnitude of total contamination, while targeted mass spectrometry identifies and quantifies specific compounds of interest.</p><h4><strong>Where IC-MS fits into the PFAS toolbox</strong></h4><p>No single technique can cover the entire PFAS problem. Gandhi highlights very short-chain, highly polar fluorinated compounds as another analytical challenge.</p><p>Compounds such as trifluoroacetic acid (TFA) are highly water-soluble and may not be quantitatively retained by the carbon materials used for AOF sample preparation. Direct ion chromatography can provide an alternative route for separating such compounds from common inorganic anions.</p><p>Coupling IC with mass spectrometry adds another level of sensitivity and selectivity. Gandhi therefore sees <strong>IC-MS and IC-MS/MS</strong> as increasingly important tools for highly polar fluorinated compounds. Similar approaches can also be useful beyond PFAS, including the determination of polar pesticides such as glyphosate and glufosinate.</p><h4><strong>Toward lower detection limits and more complete PFAS analysis</strong></h4><p>For Gandhi, current standardized methods represent a beginning rather than an endpoint. Improvements in instrumentation and particularly sample preparation could push total fluorine analysis to substantially lower concentrations.</p><p>He notes that current combustion IC configurations can reach approximately <strong>0.5 ppb</strong>, or 500 parts per trillion, and believes that improvements in sample volume, preparation procedures and mitigation of inorganic fluoride backgrounds could eventually move detection below 100 ppt and potentially toward 50 ppt.</p><p>Extractable organic fluorine workflows could provide another bridge between broad fluorine screening and targeted LC-MS methods. Combining improved extraction with CIC could allow samples to be screened for organic fluorine before more detailed compound-specific characterization.</p><p>The broader message from Gandhi's career is that PFAS analysis is unlikely to be solved by a single analytical technique. <strong>Targeted LC-MS provides compound-specific sensitivity and selectivity; AOF and combustion IC reveal a broader fluorine picture; and IC-MS can address highly polar compounds that are difficult to capture using conventional workflows.</strong> Used together, these techniques can provide laboratories with a much more complete understanding of PFAS contamination than any one approach alone.</p><blockquote><p><strong>This text has been automatically transcribed from a video presentation using AI technology. It may contain inaccuracies and is not guaranteed to be 100% correct.</strong></p></blockquote><blockquote><h4><strong>Concentrating on Chromatography Podcast</strong></h4><p>Dive into the frontiers of chromatography, mass spectrometry, and sample preparation with host David Oliva. Each episode features candid conversations with leading researchers, industry innovators, and passionate scientists who are shaping the future of analytical chemistry. From decoding PFAS detection challenges to exploring the latest in AI-assisted liquid chromatography, this show uncovers practical workflows, sustainability breakthroughs, and the real-world impact of separation science. Whether you’re a chromatographer, lab professional, or researcher you'll discover inspiring content!</p><p>You can find <strong>Concentrating on Chromatography Podcast </strong>in podcast apps:</p><ul><li><a target="_blank" rel="noopener noreferrer" href="https://open.spotify.com/show/1wZg67rCjoGju4yhqxI3tL"><strong>Spotify</strong></a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podcasts.apple.com/tz/podcast/concentrating-on-chromatography/id1788429185"><strong>Apple podcast</strong></a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podscan.fm/podcasts/concentrating-on-chromatography"><strong>podscan</strong></a></li></ul><p>and on <a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/@ChromatographyTalk/videos"><strong>YouTube channel</strong></a></p></blockquote>

The Future of Ion Chromatography | PFAS Testing, EPA 1621 & AOF Explained

<p><strong>In late February 2025, a train carrying benzene derailed in Hustopeče nad Bečvou, and within hours, a race was on to save the groundwater and surface water. One of the most toxic industrial substances began seeping into the gravel-sand subsoil. While fieldwork was underway to prevent the spread of contamination, decisions were already being made in the CXI TUL laboratories regarding how to subsequently clean up the contaminated rock environment.</strong></p><p>The accident ranks among the <strong>most serious environmental incidents in the Czech Republic in recent years</strong>. After a tanker train derailed, hundreds of<strong> metric tons of benzene leaked</strong>; due to the highly permeable geological subsoil, it quickly seeped into deeper soil layers and into the groundwater. The combination of the substance’s high toxicity and local conditions complicated both the emergency response and the subsequent remediation. The key was to stop further spread, determine the extent of the contamination, and establish a remediation strategy for the entire site.</p><p>It was at this stage that CXI TUL became involved in the solution. At the request of the renowned remediation company DEKONTA, a.s., a team led by <strong>RNDr. Jan Němeček, Ph.D.</strong>, began testing the feasibility of the<strong> in situ chemical oxidation (ISCO) method</strong>. This technology is designed to<strong> break down benzene directly within the rock matrix</strong>, without the need for extensive excavation of contaminated soil or the pumping out of large volumes of groundwater. The goal was simple: to find a method that would work quickly, safely, and under the actual conditions of the affected site.</p><h4><strong>Benzene Remediation: Technically Simple, Complicated in Practice</strong></h4><p>Benzene is a highly toxic and carcinogenic substance that rapidly penetrates into groundwater in permeable subsoil, where it dissolves and spreads further as the water flows toward surface water bodies. Benzene also binds to rock particles and migrates in the form of vapors into overlying unconsolidated layers.</p><p>Scientists in Liberec therefore tested <i>in situ </i>chemical oxidation (ISCO) technology under laboratory conditions. The goal was to find an oxidant capable of breaking down benzene directly underground into less hazardous substances.</p><p>The tests evaluated two main options:<strong> activated hydrogen peroxide and sodium peroxodisulfate</strong>. Both substances removed up to<strong> 99.99% of the benzene</strong>, but there was a difference in their kinetics and impacts on the natural environment. Activated hydrogen peroxide achieved nearly complete degradation of the contaminant within a single day. Activated sodium peroxodisulfate was slower and also significantly altered the chemistry of the water; it acidified the environment and increased the sulfate content in the water, which poses an additional environmental burden.</p><p>For field applications, the researchers therefore unequivocally recommended <strong>activated hydrogen peroxide</strong>.</p><h4><strong>Dosage Matters</strong></h4><p>It was not just the oxidant’s effectiveness that was key. It was equally important to determine how the chemical reaction would behave in a real geological environment. The team of scientists therefore also analyzed what is known as <strong>soil oxidant consumption (SOD)</strong>. It turned out that a significant portion of the oxidizing agent does not react solely with benzene but is also consumed to a significant extent by the rock environment itself, particularly by natural organic substances present in the fine-grained fraction of the soil.</p><p>An oxidant consumption value was determined specifically for the local composition of the aquifers, which is essential for the correct dosing of chemicals in the field so that the remediation is not only effective but also economically viable and safe for surrounding ecosystems.</p><h4><strong>One Year After the Accident: Research Turns into Real-World Assistance</strong></h4><p>While the public often perceives university science as a distant world of laboratories and grant projects, it is precisely situations like this that demonstrate its practical impact. The results of the work by researchers at CXI TUL did not remain confined to academic studies but directly influenced decisions regarding the technology used to clean up one of the largest environmental accidents in recent years.</p>

Science on the Front Lines: Cleanup of a Benzene Spill

<p><strong>This study uses ultra-high-performance liquid chromatography–tandem mass spectrometry (UHPLC-MS/MS) lipidomics to characterize plasma lipid alterations associated with long-term aromatase inhibitor therapy in postmenopausal breast cancer patients. A total of 649 lipid species across 23 classes and subclasses were relatively quantified, revealing significant differences in phosphatidylcholines, sphingomyelins, ceramides, hexosylceramides, and other lipid groups.</strong></p><p>Multivariate analysis showed clear group separation, while a Naive Bayes model based on lipid-class profiles achieved an AUC of 0.79. The results indicate that aromatase inhibitor therapy is associated with systematic lipidomic changes linked to estrogen deprivation and sphingolipid metabolism, providing potential mechanistic insight into long-term metabolic effects of treatment.</p><blockquote><h4><strong>The original article</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926"><strong>Aromatase Inhibitor Therapy Is Associated with Distinct Plasma Lipidomic Profiles in Postmenopausal Breast Cancer Patients&nbsp;</strong></a></h4><div><span>Aleksandra Arsic, Ales Kvasnicka</span><a target="_blank" rel="noopener noreferrer" href="https://orcid.org/0000-0001-5973-316X"><span><img></span></a><span>, David Friedecky</span><a target="_blank" rel="noopener noreferrer" href="https://orcid.org/0000-0002-3448-9073"><span><img></span></a><span>, Nebojsa Ivanovic, Maja Milosevic</span><a target="_blank" rel="noopener noreferrer" href="https://orcid.org/0000-0002-0985-0728"><span><img></span></a><span> and Vesna Vucic</span></div><p>Int. J. Mol. Sci. <strong>2026</strong>, 27(4), 1926</p><p><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.3390/ijms27041926">https://doi.org/10.3390/ijms27041926</a></p><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/"><strong>CC-BY 4.0</strong></a></h6></blockquote><p><strong>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.</strong></p><div><div><p>Breast cancer (BRC) is the most common malignancy among women, with over 2.2 million new cases diagnosed globally in 2022 [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B1-ijms-27-01926">1</a>]. A substantial proportion of breast cancers are estrogen receptor-positive (ER+) and/or progesterone receptor-positive (PR+) [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B2-ijms-27-01926">2</a>], necessitating multimodal treatment approaches, including surgery, chemotherapy, radiotherapy, and endocrine therapy. Aromatase inhibitors (AIs) represent the gold-standard adjuvant endocrine treatment for postmenopausal women, as they improve disease control and reduce the risk of distant metastasis by inhibiting peripheral aromatase activity [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B3-ijms-27-01926">3</a>]. This inhibition prevents the conversion of androgenic precursors into estrogens in peripheral tissues, resulting in a marked reduction in systemic estrogen levels. For postmenopausal women with ER+ and PR+ breast tumors, a five-year course of AI therapy, often extended beyond this duration, is recommended to reduce the risk of disease recurrence [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B4-ijms-27-01926">4</a>].</p><p>AIs decrease plasma and tissue concentrations of endogenous estrogens by inhibiting aromatase (cytochrome P450), the rate-limiting enzyme responsible for estrogen biosynthesis from testosterone and adrenal androgens [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B5-ijms-27-01926">5</a>]. Because estrogen plays a protective role in lipid metabolism, AI therapy is frequently associated with dyslipidemia. Increased levels of triglycerides (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL) have been reported in patients receiving AIs [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B6-ijms-27-01926">6</a>], thereby increasing the risk of cardiovascular disease (CVD) in postmenopausal women with BRC [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B7-ijms-27-01926">7</a>].</p><p>Disturbances in lipid metabolism are recognized as a hallmark of cancer, leading to increasing interest in lipidomic profiling as a tool for characterizing tumor-associated metabolic alterations [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B8-ijms-27-01926">8</a>]. In recent years, clinical lipidomics studies have been conducted across multiple malignancies, including lung [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B9-ijms-27-01926">9</a>], pancreatic [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B10-ijms-27-01926">10</a>], renal cell carcinoma [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B11-ijms-27-01926">11</a>], colorectal [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B12-ijms-27-01926">12</a>], and BRC [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B13-ijms-27-01926">13</a>], highlighting cancer-specific lipidomic signatures and the growing relevance of lipid metabolism in oncology. Lipidomic reprogramming is now recognized as a defining feature of BRC. To date, elevated levels of phosphatidylcholine (PC 32:1), stearic acid, and ceramide (Cer 43:1), along with reduced levels of diacylglycerol (DG 34:2), have been reported in BRC patients compared with healthy women [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B14-ijms-27-01926">14</a>]. These lipid species, together with phosphatidylinositol (PI 16:0/16:1) and PI (18:0/20:4), have been proposed as potential biomarkers for BRC [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B14-ijms-27-01926">14</a>].</p><p>Despite these advances, there remains a paucity of studies investigating the lipidomic profiles in BRC patients in relation to endocrine therapy. The present cross-sectional study aims to address this gap by conducting mass spectrometry-based profiling of lipid classes and comparing profiles between postmenopausal BRC patients receiving AI therapy and another cohort assessed before this treatment. This approach aims to characterize associations between AI therapy status and plasma lipidomic patterns.</p><h4><strong>2. Results</strong></h4><h5><strong>2.3. Lipidomic Analysis</strong></h5><p>Plasma lipid profiling identified 649 lipids across 23 lipid classes and subclasses, covering the major structural families of the circulating lipidome, including neutral lipids (triacylglycerols, diacylglycerols, cholesteryl esters, and cholesterol), glycerophospholipids (phosphatidylcholines, phosphatidylethanolamines, phosphatidylinositols, phosphatidylglycerols, phosphatidylserines, and their lysophospholipid counterparts), sphingolipids (sphingomyelins, ceramides, monohexosylceramides, and dihexosylceramides), and free fatty acids. In addition to diacyl phospholipids, the dataset included ether-linked and plasmalogen species (denoted as O- and P-), most prominently within PC, PE, and LPC and LPE classes. An overview of the plasma lipidome is shown as a global lipid network (<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#fig_body_display_ijms-27-01926-f001">Figure 1</a>). To assess whether the observed lipid changes reflect coordinated remodeling rather than isolated signals, we performed Fisher’s combined probability test at the lipid-class level. This analysis revealed significant cumulative differences in several lipid classes, including Cer, LPC, ether/plasmalogen LPC, LPE, and SM (<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#fig_body_display_ijms-27-01926-f001">Figure 1</a>), supporting systematic class-level alterations despite limited power at the single-species level.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Int_J_Mol_Sci_2026_27_4_1926_Figure_1_Global_lipid_network_analysis_of_plasma_lipidomic_differences_between_breast_cancer_patients_BRC_prior_to_initiation_of_the_aromatase_inhibitor_6f82827773.jpg" alt="Int. J. Mol. Sci. 2026, 27(4), 1926: Figure 1. Global lipid network analysis of plasma lipidomic differences between breast cancer patients (BRC) prior to initiation of the aromatase inhibitor (AI) therapy and patients receiving AI. Cytoscape-based network visualization illustrates lipid species grouped according to structural similarity and lipid class. Each node represents an individual lipid species, while edges indicate class-based relationships. Node size corresponds to the −log10 p-value from the Mann–Whitney U test, reflecting the statistical significance (−log p-Value &gt; 1.3) of differences between groups. Node color indicates the direction and magnitude of change, based on log2 fold change, with red representing higher abundance in AI-treated patients and blue representing higher abundance in patients before AI therapy. Major lipid classes, including glycerophospholipids (GPL), sphingolipids (SP), glycerolipids (GL), fatty acids (FA), and cholesteryl esters (CE), are shown to highlight coordinated class- and species-level lipidomic alterations. Fisher’s combined p-value for individual lipid classes is shown at the bottom (significant p-Value &lt; 0.05). " srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Int_J_Mol_Sci_2026_27_4_1926_Figure_1_Global_lipid_network_analysis_of_plasma_lipidomic_differences_between_breast_cancer_patients_BRC_prior_to_initiation_of_the_aromatase_inhibitor_6f82827773.jpg 245w," sizes="100vw" width="1600" height="847"></p><h5><strong>2.4. Multivariate Analysis of Plasma Lipidomic Profiles</strong></h5><p>Principal component analysis (PCA) and partial least squares discriminant analysis (OPLS-DA) were applied to the lipidomic dataset to assess global variation and group separation between the BRC and AI groups (<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#fig_body_display_ijms-27-01926-f002">Figure 2</a>). PCA was performed as an unsupervised analysis, including all samples and quality control (QC) samples. The first two principal components explained 37.9% (PC1) and 15.6% (PC2) of the total variance, accounting for 53.5% of the cumulative variance. QC samples clustered tightly near the center of the PCA score plot, indicating analytical stability and reproducibility of the LC–MS measurements. In the PCA score plot, samples from the BRC and AI groups showed partial overlap, with no complete separation observed along the first two principal components. To further evaluate group discrimination, a supervised OPLS-DA model was constructed using the same dataset. The OPLS-DA score plot demonstrated improved separation between the BRC and AI groups along the first latent variable, with group-specific clustering highlighted by confidence ellipses. Permutation testing confirmed that the supervised OPLS-DA model was not overfitted, with a negative Q<sup>2</sup> intercept (Q<sup>2</sup> = −0.55), indicating that permuted models lacked predictive ability compared with the original model (<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#app1-ijms-27-01926">Supplementary Figure S1</a>). Together, these multivariate analyses indicate differences in lipidomic profiles between the BRC and AI groups, while also demonstrating acceptable analytical performance as evidenced by the clustering of QC samples.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Int_J_Mol_Sci_2026_27_4_1926_Figure_2_Multivariate_analysis_of_plasma_lipidomic_profiles_in_breast_cancer_patients_BRC_56f65f265b.jpg" alt="Int. J. Mol. Sci. 2026, 27(4), 1926: Figure 2. Multivariate analysis of plasma lipidomic profiles in breast cancer patients (BRC) prior to initiation of the aromatase inhibitor (AI) therapy and patients receiving AI. Principal component analysis (PCA) score plot (a) shows the distribution of plasma lipidomic profiles from patients before AI therapy (BRC, blue), patients receiving AI therapy (AI, red), and quality control samples (QC, gray). Orthogonal partial least squares–discriminant analysis (OPLS-DA) score plot (b) demonstrates improved separation between BRC and AI groups. The ellipse represents the 95% Hotelling’s T2 confidence interval. " srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Int_J_Mol_Sci_2026_27_4_1926_Figure_2_Multivariate_analysis_of_plasma_lipidomic_profiles_in_breast_cancer_patients_BRC_56f65f265b.jpg 245w," sizes="100vw" width="1600" height="652"></p><h4><strong>4. Materials and Methods</strong></h4><h5><strong>4.5. Lipidomic Analysis</strong></h5><p>Chromatographic separation was performed using an ultra-high-performance liquid chromatography (UHPLC) <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=55&amp;search=ExionLC"><strong>ExionLC system</strong></a> (SCIEX, Framingham, MA, USA) coupled to a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=55&amp;search=6500"><strong>QTRAP<sup>®</sup> 6500+ mass spectrometer </strong></a>(SCIEX, Framingham, MA, USA). Lipids were separated on an <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1953"><strong>ACQUITY Premier BEH C8 column</strong></a> (100 × 2.1 mm, 1.7 μm; Waters Corporation, Wilmslow, UK). The column temperature was kept at 55 °C, and the autosampler was set to 10 °C. The mobile phases consisted of solvent A (acetonitrile/water, 6:4, <span>v</span>/<span>v</span>, containing 10 mM ammonium acetate) and solvent B (isopropanol/acetonitrile, 9:1, <span>v</span>/<span>v</span>, containing 10 mM ammonium acetate), delivered at a flow rate of 0.4 mL/min. The total analytical run time was 20 min per sample. Data acquisition was carried out using Analyst software (version 1.6.2), and data processing and semiautomatic peak integration were performed with MultiQuant software (version 3.0; SCIEX, Framingham, MA, USA). Samples were analyzed in a randomized sequence with continuous monitoring of quality control samples. Raw peak areas were QC-normalized by LOESS [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B48-ijms-27-01926">48</a>] and IS-normalized by the corresponding IS class for each lipid.</p><h5><strong>4.6. Statistical Analysis</strong></h5><p>The data were processed using the Metabol package [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B48-ijms-27-01926">48</a>] in R program (v 3.6.3). Preprocessing of the data included locally estimated scatterplot smoothing (LOESS), Pareto scaling, filtering of analytes (coefficients of variation in the QC above 30%), mean centering, and the lnPQN normalization (<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#app1-ijms-27-01926">Supplementary Table S1</a>) [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B49-ijms-27-01926">49</a>]. Univariate statistical analysis (based on the non-parametric non-paired Mann–Whitney U test (<span>p</span>-values shown as −log) together with the log2 fold-change in medians) was performed and visualized using GraphPad Prism (version 9.0, GraphPad Software, LLC, Boston, MA, USA). Data were also evaluated using multivariate statistical analysis, namely the principal component analysis (PCA) and orthogonal discriminant analysis by partial least squares (OPLS-DA) and validated by permutation using SIMCA software (version 18.0, Sartorius Umetrics, Umeå, Sweden). Benjamini–Hochberg correction was used for false discovery rate correction. Detected lipid species were mapped to standardized lipid classes and subclasses according to accepted lipidomics nomenclature, enabling consistent grouping of lipid species for downstream statistical, class-level, and network analyses. LipidOne 2.4 was further used to support lipid-centric data integration and visualization prior to multivariate and pathway-based analyses (such as heatmaps, ROC analyses using a Naive-Bayesian model and Logistic Regression model, and protein–protein interaction network based on lipidomics data) [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B50-ijms-27-01926">50</a>]. Lipid network visualization was performed using Cytoscape software (v 3.8.2) [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B51-ijms-27-01926">51</a>]. Differentially abundant lipid species were organized according to lipid class and structural similarity. Node size reflected the −log10 <span>p</span>-value from univariate analysis, while node color represented log2 fold change between groups. Calculation of Fisher’s combined probability test for assessing systematic lipid class-level differences was performed (<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#app1-ijms-27-01926">Supplementary Table S2</a>) and calculated following procedures described previously [<a target="_blank" rel="noopener noreferrer" href="https://www.mdpi.com/1422-0067/27/4/1926#B52-ijms-27-01926">52</a>].</p><h4><strong>5. Conclusions</strong></h4><p>In conclusion, our findings demonstrate significant alterations in lipid metabolism in BRC patients undergoing AI therapy, with pronounced changes in Cer, SM, DG, TG, PC, PI, and PE lipids and lipid classes. However, the precise mechanisms underlying the differences in lipid metabolism between patients before and during AI treatment remain to be fully elucidated. Future longitudinal studies with paired pre- and post-treatment samples from the same individuals leveraging comprehensive lipidomic profiling are needed to deepen our understanding of AI-induced metabolic alterations and to inform the development of targeted interventions aimed at mitigating adverse effects, ultimately improving long-term outcomes and quality of life for these patients.</p></div></div>

Aromatase Inhibitor Therapy Is Associated with Distinct Plasma Lipidomic Profiles in Postmenopausal Breast Cancer Patients

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Organomation, founded in 1959, designs and manufactures high-quality nitrogen evaporators and extraction systems. Known for innovation and durability, their lab instruments are used globally for efficient sample preparation with strong customer support.

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KNAUER AZURA Autosampler AS 6.1L

KNAUER AZURA AS 6.1L autosampler with up to 768 samples, ultra-low carryover, and fast injection cycles for HPLC/UHPLC workflows.

<p><strong>The KNAUER AZURA® AS 6.1L is a high-performance autosampler designed for automated sample injection in HPLC/UHPLC systems, offering high capacity, precision, and flexibility for both routine and high-throughput applications.</strong></p><p>The <strong>autosampler supports:</strong></p><ul><li>up to <strong>768 sample positions (microtiter plates)</strong></li><li>up to <strong>108 standard 1.5 mL vials</strong></li></ul><p>A highly effective <strong>internal and external needle wash system</strong> minimizes carryover to extremely low levels. The system is also fast, with a <strong>complete injection cycle taking less than one minute</strong>, including needle washing.</p><p>Three <strong>injection modes</strong> are supported:</p><ul><li><strong>full loop filling</strong> (highest precision)</li><li><strong>partial loop filling</strong> (variable volumes)</li><li><strong>µl pickup</strong> (loss-free injection of small volumes)</li></ul><p>The integrated <strong>ILD™ (Intermediate Loop Decompression) valve</strong> ensures accurate high-pressure injections without sample dilution and reduces pressure spikes, protecting the column.</p><h4><span><strong>Key Features</strong></span></h4><ul><li><strong>Autosampler for HPLC/UHPLC</strong> systems</li><li><strong>Up to 768 sample positions</strong></li><li><strong>Up to 108 vials </strong>(1.5 mL)</li><li>Ultra-low <strong>carryover (&lt; 0.0003%)</strong></li><li><strong>Fast injection</strong> cycle (<strong>&lt; 1 min</strong>)</li><li><strong>3 injection modes</strong> (full loop, partial loop, µl pickup)</li><li>ILD™ technology for high-pressure injection</li><li>PASA™ (pressure-assisted sample aspiration)</li><li>Optional <strong>sample cooling (4–40 °C)</strong></li><li>Missing vial/plate detection</li><li>Supports precolumn derivatization</li></ul><h3><span><strong>Technical Specifications</strong></span></h3><h4><span><strong>Sample Injection</strong></span></h4><ul><li><strong>Injection volume range:</strong> 0.1 µl – 10 mL</li><li><strong>Precision:</strong><ul><li><strong>Full loop:</strong> &lt; 0.3% RSD</li><li><strong>Partial loop:</strong> &lt; 0.5% RSD</li><li><strong>µl pickup:</strong> &lt; 1.0% RSD</li></ul></li><li><strong>Accuracy:</strong> 0.2 µl (250 µl syringe)</li></ul><h4><span><strong>Performance</strong></span></h4><ul><li><strong>Carryover:</strong><ul><li>&lt; 0.0015% (standard)</li><li>&lt; 0.0003% (extended wash)</li></ul></li><li><strong>Injections per vial:</strong> <strong>max. 9</strong></li><li><strong>Cycle time:</strong><ul><li>7 s (same vial)</li><li>14 s (different vials)</li><li>&lt; 60 s total</li></ul></li></ul><h4><span><strong>Capacity &amp; Compatibility</strong></span></h4><ul><li><strong>Microtiter plates:</strong> ANSI SLAS standard</li><li><strong>Max vial/plate height:</strong> <strong>47 mm</strong></li></ul><h4><span><strong>Additional Features</strong></span></h4><ul><li>Headspace pressure (bubble prevention)</li><li>Precolumn derivatization</li><li>Sample tray cooling (optional, 4–40 °C)</li><li>Vial detection sensor</li></ul><h4><span><strong>Materials</strong></span></h4><ul><li>ETFE, PTFE, stainless steel, glass, Vespel</li><li>Wide chemical compatibility</li></ul><h4><span><strong>Control &amp; Communication</strong></span></h4><ul><li>LAN / Ethernet</li><li>Analog inputs</li><li>TTL inputs (start, stop, freeze)</li><li>Relay output (alarm, marker)</li></ul><h4><span><strong>Operating Conditions</strong></span></h4><ul><li><strong>Temperature:</strong> 10–40 °C</li><li><strong>Humidity:</strong> 20–80%</li></ul>

KNAUER AZURA Valve Unifier VU 4.1

KNAUER AZURA VU 4.1 valve drive enables fast automated valve switching with RFID identification for HPLC/UHPLC systems.

<p><strong>The KNAUER AZURA VU 4.1 Valve Unifier is a compact valve drive unit designed for automated valve switching in HPLC/UHPLC systems. It enables precise and fast control of liquid flow paths, which is essential for applications such as column switching, sample injection, eluent selection, and fractionation.</strong></p><p>Due to its <strong>ultra-fast switching speed</strong>, the flow path is interrupted only briefly, significantly <strong>reducing pressure spikes</strong> and improving system stability.</p><p>The device uses <strong>RFID technology for automatic valve identification</strong>, ensuring <strong>easy and error-free valve exchange</strong>. Integrated <strong>GLP data monitoring</strong> simplifies maintenance tasks such as rotor seal replacement.</p><p>The unit can be operated:</p><ul><li><strong>stand-alone via display</strong></li><li><strong>via software</strong></li><li><strong>through LAN or analog I/O</strong></li></ul><p>This makes it easy to integrate into almost any LC system.</p><h4><span><strong>Key Features</strong></span></h4><ul><li>Universal <strong>valve drive for &gt;40 valve types</strong></li><li>Ultra-fast switching (minimal pressure spikes)</li><li><strong>RFID valve identification</strong></li><li>GLP data monitoring for maintenance</li><li>Standalone operation via display</li><li><strong>Integration into LC systems </strong>(LAN, analog, software)</li><li>Compact design</li><li>Easy maintenance and valve exchange</li><li>Flexible use in LC and industrial applications</li></ul><h3><span><strong>Technical Specifications</strong></span></h3><h4><span><strong>Communication &amp; Control</strong></span></h4><ul><li><strong>Interfaces:</strong> <strong>LAN, display, terminal strip</strong></li><li><strong>Control:</strong><ul><li>display (stand-alone)</li><li>software</li><li>event control</li></ul></li><li><strong>Inputs:</strong><ul><li>Home</li><li>Backward/Inject</li><li>Forward/Load</li><li>Start</li></ul></li><li><strong>Outputs:</strong><ul><li>Trigger out</li><li>Event output</li></ul></li></ul><h4><span><strong>Performance &amp; Features</strong></span></h4><ul><li>Ultra-fast valve switching</li><li>Reduced pressure peaks</li><li>Supports &gt;40 valve types</li><li>RFID valve recognition</li><li>GLP maintenance tracking</li></ul><h4><span><strong>Operating Conditions</strong></span></h4><ul><li><strong>Temperature:</strong> 4–40 °C</li><li><strong>Humidity:</strong> &lt; 90% non-condensing</li></ul><h4><span><strong>Power &amp; Dimensions</strong></span></h4><ul><li><strong>Power supply:</strong> external 24 V DC</li><li><strong>Power consumption:</strong> 65 W</li><li><strong>Dimensions:</strong> 80 × 123 × 192 mm</li><li><strong>Weight:</strong> 1.9 kg</li></ul><h4><span><strong>Typical Applications</strong></span></h4><ul><li>Column switching</li><li>Eluent selection</li><li>Sample injection</li><li>Fraction collection</li><li>LC workflow automation</li><li>Dosing systems in chemical industry</li></ul>

KNAUER AZURA DAD 2.1L Diode Array Detector

KNAUER AZURA® DAD 2.1L is a high-performance diode array detector for HPLC/UHPLC featuring 190–700 nm coverage, LightGuide technology, low drift, and up to 100 Hz data acquisition.

<p><strong>The KNAUER AZURA® DAD 2.1L is a high-performance diode array detector designed for analytical, semi-preparative, and preparative liquid chromatography applications. Combining advanced optical technology, excellent sensitivity, and intuitive operation, the detector offers an affordable solution for demanding HPLC and UHPLC workflows.</strong></p><p>The detector features a newly developed optical system and intelligent temperature management that ensure maximum sensitivity while minimizing baseline drift. Optional LightGuide flow cells based on total internal reflection technology maximize light throughput and minimize peak dispersion, resulting in superior signal-to-noise performance. An optional fiber-optic adapter allows physical separation of the flow cell from the detector, enhancing safety when handling hazardous, explosive, or toxic compounds.</p><h3><strong>Key Features</strong></h3><ul><li>High-performance diode array detector <strong>for HPLC and UHPLC</strong></li><li>Wavelength range <strong>from 190 to 700 nm</strong></li><li><strong>256-diode array</strong> with <strong>2 nm pixel pitch</strong></li><li>Advanced optical system with optimized temperature management</li><li><strong>LightGuide flow cell technology</strong> for enhanced signal-to-noise ratio</li><li>Wide selection of interchangeable analytical, semi-preparative, and preparative flow cells</li><li>Optional fiber-optic adapter for remote flow cell positioning</li><li>Internal holmium filter for wavelength verification</li><li>Integrated leak sensor</li><li>Front-access, tool-free lamp replacement</li><li>Compatible with <strong>ClarityChrom®, OpenLAB®, Chromeleon™, PurityChrom®, and Mobile Control</strong></li><li>LAN and analog connectivity for easy integration into virtually any LC system</li></ul><h3><strong>Technical Specifications</strong></h3><h4><strong>Detection System</strong></h4><ul><li><strong>Detector type:</strong> Diode Array Detector (DAD)</li><li><strong>Number of diodes: </strong>256</li><li><strong>Pixel pitch:</strong> 2 nm per diode</li><li><strong>Detection channels:</strong><ul><li>8 digital channels</li><li>4 analog channels</li></ul></li><li><strong>Light source: </strong>Deuterium lamp with integrated GLP chip</li><li><strong>Wavelength range: </strong>190–700 nm</li><li><strong>Spectral resolution: </strong>&lt;10 nm (FWHM)</li><li><strong>Slit width:</strong> 7.0 nm</li><li><strong>Wavelength accuracy: </strong>±1 nm</li><li><strong>Wavelength repeatability:</strong> ±0.1 nm</li></ul><h4><strong>Performance</strong></h4><ul><li><strong>Noise:</strong> ±5 µAU at 254 nm</li><li><strong>Drift:</strong> 400 µAU/h at 254 nm</li><li><strong>Linearity</strong>: &gt;2.0 AU at 274 nm</li><li><strong>Maximum data rate:</strong><ul><li>100 Hz via LAN</li><li>12.5 Hz via analog output</li></ul></li></ul><h4><strong>Flow Cells</strong></h4><ul><li>Flow cells are not included and must be ordered separately</li><li>Stainless steel and bio-inert configurations available</li><li>Optional LightGuide total-reflection technology</li></ul><h4><strong>Control and Communication</strong></h4><ul><li>LAN (RJ-45)</li><li>USB service interface</li><li>Analog inputs and outputs</li><li>Mobile Control stand-alone operation</li><li>Full software control through chromatography data systems</li></ul><h4><strong>GLP Functions</strong></h4><ul><li>Lamp identification</li><li>Lamp operating hours</li><li>Lamp ignition count</li><li>Comprehensive GLP reporting</li></ul><h4><strong>Power and Dimensions</strong></h4><ul><li><strong>Power supply:</strong> 100–240 V, 50–60 Hz</li><li><strong>Power consumption: </strong>75 W</li><li><strong>Dimensions (W × H × D):</strong> 361 × 158 × 523 mm</li><li><strong>Weight: </strong>12.2 kg</li></ul>

KNAUER AZURA DAD 6.1L Diode Array Detector

KNAUER AZURA® DAD 6.1L is a premium diode array detector with 190–1000 nm coverage, 1024-diode array, Polka-Dot optics, and LightGuide technology for maximum sensitivity.

<p><strong>The KNAUER AZURA® DAD 6.1L is a high-end diode array detector designed for analytical, semi-preparative, preparative, and process liquid chromatography applications. Featuring an extended wavelength range of 190–1000 nm, KNAUER Polka-Dot optical technology, and a 1024-diode array, it delivers exceptional sensitivity, spectral resolution, and baseline stability.</strong></p><p>The detector combines a high-brightness deuterium lamp and tungsten-halogen lamp to provide seamless UV and visible light detection. Optional LightGuide flow cells based on total internal reflection technology maximize light throughput while minimizing peak dispersion. An optional fiber-optic adapter enables physical separation of the flow cell from the detector, increasing safety when working with hazardous, explosive, or toxic compounds and protecting the detector from potential leaks at high flow rates.</p><h3><strong>Key Features</strong></h3><ul><li>High-end diode array detector<strong> for HPLC, UHPLC, and process chromatography</strong></li><li>Extended wavelength range <strong>from 190 to 1000 nm</strong></li><li>1024-diode array with <strong>0.8 nm pixel pitch</strong></li><li><strong>KNAUER</strong> <strong>Polka-Dot optical technology</strong> for maximum sensitivity</li><li><strong>LightGuide flow cell technology </strong>for superior signal-to-noise ratio</li><li>Wide range of analytical, semi-preparative, and preparative flow cells</li><li>Optional fiber-optic adapter for remote flow cell positioning</li><li>High-brightness deuterium and halogen lamps</li><li>Internal holmium filter for wavelength verification</li><li>Integrated leak sensor</li><li>Front-access lamp replacement</li><li>Compatible with <strong>ClarityChrom®, OpenLAB®, Chromeleon™, PurityChrom®</strong>, and <strong>Mobile Control</strong></li><li>Suitable for both laboratory and process applications</li></ul><h3><strong>Technical Specifications</strong></h3><h4><strong>Detection System</strong></h4><ul><li><strong>Detector type:</strong> Diode Array Detector (DAD)</li><li><strong>Number of diodes:</strong> 1024</li><li><strong>Pixel pitch: </strong>0.8 nm per diode</li><li><strong>Detection channels:</strong><ul><li>8 digital channels</li><li>4 analog channels</li></ul></li><li><strong>Light source:</strong><ul><li>High-brightness deuterium lamp</li><li>Tungsten-halogen lamp</li></ul></li><li><strong>Wavelength range:</strong> 190–1000 nm</li><li><strong>Spectral resolution: </strong>&lt;3.5 nm (FWHM)</li><li><strong>Slit width: </strong>2.5 nm</li><li><strong>Wavelength accuracy: </strong>±1 nm</li><li><strong>Wavelength repeatability:</strong> ±0.1 nm</li></ul><h4><strong>Performance</strong></h4><ul><li><strong>Noise:</strong> ±3.5 µAU at 254 nm</li><li><strong>Drift:</strong> 300 µAU/h at 254 nm</li><li><strong>Linearity: </strong>&gt;2.5 AU at 274 nm</li><li><strong>Maximum data rate:</strong><ul><li>100 Hz via LAN</li><li>12.5 Hz via analog output</li></ul></li></ul><h4><strong>Flow Cells</strong></h4><ul><li>Flow cells sold separately</li><li>Stainless-steel and bio-inert configurations available</li><li>Optional LightGuide total-reflection technology</li></ul><h4><strong>Control and Communication</strong></h4><ul><li>LAN (RJ-45)</li><li>USB service interface</li><li>Analog inputs and outputs</li><li>Mobile Control stand-alone operation</li><li>Full software integration with chromatography data systems</li></ul><h4><strong>GLP Functions</strong></h4><ul><li>Lamp identification</li><li>Lamp operating hours</li><li>Lamp ignition count</li><li>Comprehensive GLP reporting</li></ul><h4><strong>Power and Dimensions</strong></h4><ul><li><strong>Power supply: </strong>100–240 V, 50–60 Hz</li><li><strong>Power consumption: </strong>75 W</li><li><strong>Dimensions (W × H × D): </strong>361 × 158 × 523 mm</li><li><strong>Weight:</strong> 13.8 kg</li></ul>

KNAUER AZURA MWD 2.1L Multiwavelength Detector

KNAUER AZURA® MWD 2.1L is an 8-channel UV/VIS detector with 190–700 nm coverage, LightGuide technology, high sensitivity, and upgradeability to a DAD system.

<p><strong>The KNAUER AZURA® MWD 2.1L is a sensitive 8-channel UV/VIS multiwavelength detector designed for analytical, semi-preparative, and preparative liquid chromatography. Combining excellent performance, user-friendly operation, and affordability, it provides a versatile solution for routine and advanced LC applications.</strong></p><p>The detector features a newly developed optical unit and intelligent temperature management to ensure maximum sensitivity with minimal baseline drift. Optional LightGuide flow cells based on total internal reflection technology maximize light throughput and minimize peak dispersion, resulting in an optimized signal-to-noise ratio. An optional fiber-optic adapter allows physical separation of the flow cell from the detector, increasing safety when handling hazardous, explosive, or toxic materials.</p><p>The <strong>AZURA® MWD 2.1L</strong> can also be upgraded to a full <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2423"><strong>AZURA® DAD 2.1L diode array detector</strong></a>, protecting future investments and enabling greater analytical flexibility.</p><h3><strong>Key Features</strong></h3><ul><li>Sensitive <strong>8-channel UV/VIS multiwavelength detector</strong></li><li>Wavelength range<strong> from 190 to 700 nm</strong></li><li>Simultaneous monitoring of <strong>up to 8 digital channels</strong></li><li>LightGuide flow cell technology for improved sensitivity and signal-to-noise ratio</li><li>Intelligent temperature management for minimal baseline drift</li><li>Wide selection of analytical, semi-preparative, and preparative flow cells</li><li>Optional fiber-optic adapter for remote flow cell positioning</li><li>Internal holmium filter for wavelength verification</li><li>Integrated leak sensor</li><li>Front-access lamp replacement</li><li>Upgradeable to the AZURA® DAD 2.1L diode array detector</li><li>Compatible with <strong>ClarityChrom®, OpenLAB®, Chromeleon™, PurityChrom®</strong>, and <strong>Mobile Control</strong></li></ul><h3><strong>Technical Specifications</strong></h3><h4><strong>Detection System</strong></h4><ul><li><strong>Detector type: </strong>Multiwavelength Detector (MWD)</li><li><strong>Digital channels: </strong>8</li><li><strong>Analog channels:</strong> 4</li><li><strong>Light source: </strong>Deuterium lamp with integrated GLP chip</li><li><strong>Wavelength range: </strong>190–700 nm</li><li><strong>Spectral resolution: </strong>&lt;10 nm (FWHM)</li><li><strong>Slit width: </strong>7.0 nm</li><li><strong>Wavelength accuracy: </strong>±1 nm</li><li><strong>Wavelength repeatability: </strong>±0.1 nm</li></ul><h4><strong>Performance</strong></h4><ul><li><strong>Noise:</strong> ±5 µAU at 254 nm</li><li><strong>Drift:</strong> 400 µAU/h at 254 nm</li><li><strong>Linearity:</strong> &gt;2.0 AU at 274 nm</li><li><strong>Maximum data rate:</strong><ul><li>100 Hz via LAN</li><li>12.5 Hz via analog output</li></ul></li></ul><h4><strong>Flow Cells</strong></h4><ul><li>Flow cells sold separately</li><li>Stainless-steel and bio-inert configurations available</li><li>Optional LightGuide total-reflection technology</li></ul><h4><strong>Control and Communication</strong></h4><ul><li>LAN (RJ-45)</li><li>USB service interface</li><li>Analog inputs and outputs</li><li>Mobile Control stand-alone operation</li><li>Full software integration with chromatography data systems</li></ul><h4><strong>GLP Functions</strong></h4><ul><li>Lamp identification</li><li>Lamp operating hours</li><li>Lamp ignition count</li><li>Comprehensive GLP reporting</li></ul><h4><strong>Power and Dimensions</strong></h4><ul><li><strong>Power supply:</strong> 100–240 V, 50–60 Hz</li><li><strong>Power consumption: </strong>75 W</li><li><strong>Dimensions (W × H × D):</strong> 361 × 158 × 523 mm</li><li><strong>Weight:</strong> 12.2 kg</li></ul>

KNAUER AZURA VWD 2.1L Variable Wavelength Detector

Flexible UV/VIS detector with up to four wavelengths, conductivity, temperature, and optional pH monitoring. Ideal for HPLC, FPLC, and purification applications.

<p><strong>The KNAUER AZURA® VWD 2.1L is a versatile variable wavelength detector designed for analytical HPLC, FPLC, and purification applications. Combining UV/VIS detection with optional conductivity, temperature, and pH monitoring, it provides exceptional flexibility for a wide range of chromatographic workflows.</strong></p><p>The detector supports simultaneous monitoring of up to four UV/VIS wavelengths across a broad spectral range from 190 to 900 nm. When equipped with KNAUER’s patented <strong>CombiLight flow cell</strong>, it can simultaneously measure UV absorbance, conductivity, and eluent temperature. An optional pH electrode further extends functionality by enabling real-time pH monitoring during chromatographic separations.</p><h3><strong>Key Features</strong></h3><ul><li>Variable wavelength UV/VIS detector <strong>for analytical HPLC and FPLC</strong></li><li>Simultaneous monitoring of <strong>up to 4 UV/VIS wavelengths</strong></li><li>Broad wavelength range from <strong>190 to 900 nm</strong></li><li>Optional conductivity monitoring up to <strong>1000 mS/cm</strong></li><li>Integrated temperature monitoring</li><li>Optional real-time pH measurement</li><li>Compatible with patented KNAUER CombiLight flow cell technology</li><li>Convertible between flow-cell and fiber-optic configurations</li><li>Internal holmium oxide filter for wavelength verification</li><li>Adjustable leak sensor for enhanced operational safety</li><li>Front-access lamp and flow-cell replacement</li><li>Comprehensive GLP functionality with component recognition</li><li>Suitable for analytical, preparative, and purification workflows</li></ul><h3><strong>Technical Specifications</strong></h3><h4><strong>Detection System</strong></h4><ul><li><strong>Detection channels:</strong><ul><li>4 × UV/VIS</li><li>1 × Conductivity</li><li>1 × Temperature</li><li>1 × pH</li></ul></li><li><strong>Wavelength range:</strong> 190–900 nm</li><li><strong>Light source:</strong><ul><li>High-brightness deuterium lamp</li><li>Halogen lamp</li><li>Integrated GLP chip</li></ul></li><li><strong>Flow cell:</strong> Not included</li><li><strong>Optional display:</strong> Mobile Control</li></ul><h4><strong>UV/VIS Performance</strong></h4><ul><li><strong>Spectral bandwidth:</strong> 6 nm (FWHM)</li><li><strong>Wavelength accuracy: </strong>±1.5 nm</li><li><strong>Wavelength precision:</strong> 0.4 nm</li><li><strong>Baseline noise: </strong>±7.5 µAU at 254 nm</li><li><strong>Baseline drift:</strong> 200 µAU/h at 254 nm</li><li><strong>Linearity: </strong>&gt;2.5 AU at 274 nm</li><li><strong>Maximum data rate:</strong><ul><li>100 Hz (single UV channel)</li><li>5 Hz (four UV channels)</li></ul></li></ul><h4><strong>Conductivity Monitoring</strong></h4><ul><li><strong>Measurement range: </strong>0.1–1000 mS/cm</li><li><strong>Accuracy:</strong> ±2% or ±0.5 mS/cm (whichever is greater)</li></ul><h4><strong>pH Monitoring</strong></h4><ul><li><strong>Measurement range: </strong>pH 0–14</li><li><strong>Accuracy: </strong>±0.1 pH (between pH 2–12)</li></ul><h4><strong>Temperature Monitoring</strong></h4><ul><li><strong>Measurement range</strong>: 1–99 °C</li><li><strong>Accuracy</strong>: ±1.5 °C (4–40 °C)</li></ul><h4><strong>System Functions</strong></h4><ul><li>Internal holmium oxide filter for wavelength verification</li><li>Adjustable leak sensor</li><li>Automatic integration time</li><li>User-selectable time constants:</li></ul><h4><strong>GLP Functions</strong></h4><ul><li>Lamp recognition</li><li>Operating hours tracking</li><li>Light source lifetime monitoring</li><li>Flow-cell recognition</li><li>Detailed GLP reporting</li></ul><h4><strong>Maintenance</strong></h4><ul><li>Front-accessible deuterium lamp</li><li>Front-accessible halogen lamp</li><li>Front-accessible flow cell</li><li>Simplified service procedures</li></ul><h3><strong>Applications</strong></h3><ul><li>Analytical HPLC</li><li>FPLC systems</li><li>Protein purification</li><li>Biopharmaceutical analysis</li><li>Process chromatography</li><li>Preparative chromatography</li><li>Method development</li><li>Quality control laboratories</li><li>UV/VIS monitoring of purification processes</li></ul>

KNAUER AZURA UVD 2.1L UV/VIS Detector

Compact and affordable UV/VIS detector for routine HPLC and fast LC applications, featuring 190–750 nm wavelength range and flexible flow-cell options.

<p><strong>The KNAUER AZURA® UVD 2.1L is a cost-effective UV/VIS detector designed for routine HPLC applications, including fast liquid chromatography methods. Combining reliable performance, compact dimensions, and flexible flow-cell options, it provides an ideal solution for analytical and preparative chromatography laboratories seeking dependable UV detection at an attractive price point.</strong></p><p>The detector utilizes a deuterium lamp covering the wavelength range <strong>from 190 to 750 nm</strong> and offers excellent sensitivity and stability for everyday chromatographic analysis. Its smart mechanical design allows quick and easy access to the flow cell, minimizing maintenance time and maximizing instrument uptime.</p><p>A wide range of interchangeable flow cells is available, including stainless-steel and bio-inert versions suitable for analytical, semi-preparative, and preparative LC applications with <strong>flow rates ranging from 10 μL/min up to 10 L/min</strong>. The detector integrates seamlessly into virtually any LC system through LAN communication, analog I/O, and compatibility with leading chromatography software packages.</p><h3><strong>Key Features</strong></h3><ul><li><strong>Cost-effective UV/VIS detector </strong>for routine HPLC applications</li><li>Suitable for fast LC methods</li><li>Wavelength range <strong>from 190 to 750 nm</strong></li><li>Single-channel variable wavelength detection</li><li><strong>Deuterium lamp </strong>with integrated GLP chip</li><li>Compact and robust instrument design</li><li>Easily accessible flow cell for rapid replacement</li><li>Wide selection of interchangeable flow cells</li><li>Compatible with analytical and preparative LC applications</li><li><strong>Flow rates from 10 μL/min up to 10 L/min</strong></li><li>Integrated leak sensor</li><li>Automatic integration time adjustment</li><li>LAN and analog communication interfaces</li><li>Comprehensive GLP functionality</li><li><strong>Compatible with ClarityChrom®, OpenLAB®, Chromeleon™, ChromGate®, PurityChrom®</strong>, and <strong>Mobile Control</strong></li></ul><h3><strong>Technical Specifications</strong></h3><h4><strong>Detection System</strong></h4><ul><li><strong>Detection channels:</strong> 1</li><li><strong>Light source: </strong>Deuterium (D₂) lamp with integrated GLP chip</li><li><strong>Wavelength range:</strong> 190–750 nm</li><li><strong>Spectral bandwidth: </strong>11 nm (FWHM)</li><li><strong>Wavelength accuracy:</strong> ±2.5 nm</li><li><strong>Wavelength precision:</strong> 0.3 nm</li></ul><h4><strong>Performance</strong></h4><ul><li><strong>Noise:</strong> ±15 µAU at 254 nm</li><li><strong>Drift: </strong>300 µAU/h at 254 nm</li><li><strong>Linearity:</strong> &gt;2.0 AU at 274 nm</li><li><strong>Maximum data rate:</strong><ul><li>50 Hz via LAN</li><li>20 Hz via analog output</li></ul></li></ul><h4><strong>Flow Cells</strong></h4><ul><li>Flow cells sold separately</li><li>Stainless-steel and bio-inert options available</li><li>Suitable for analytical and preparative chromatography</li><li>Flow rates from 10 μL/min to 10 L/min</li></ul><h4><strong>Communication and Control</strong></h4><ul><li>LAN communication</li><li>Analog input/output</li><li>Mobile Control software</li><li>Event control</li><li>Terminal protocol</li></ul><h4><strong>Inputs</strong></h4><ul><li>Error (IN)</li><li>Start (IN)</li><li>Autozero</li><li>0–10 V Analog (IN)</li></ul><h4><strong>Outputs</strong></h4><ul><li>Events 1–3</li><li>+5 V</li><li>24 V Valve</li></ul><h4><strong>Analog Output</strong></h4><ul><li>1 × 0–5 V scalable</li><li>20-bit resolution</li><li>Adjustable offset</li></ul><h4><strong>Programming Functions</strong></h4><ul><li>Timed wavelength programming</li><li>Event programming</li><li>Fraction valve control</li><li>Wake-up functions</li><li>Up to 9 programs</li><li>Up to 50 program lines</li></ul><h4><strong>GLP Functions</strong></h4><ul><li>Lamp recognition</li><li>Operating hours tracking</li><li>Lamp operating hours</li><li>Lamp ignition counter</li><li>Detailed GLP reports</li></ul><h4><strong>Safety and Maintenance</strong></h4><ul><li>Integrated leak sensor</li><li>Easy-access flow cell compartment</li><li>Front-access maintenance</li><li>Minimal downtime for service operations</li></ul><h4><strong>Environmental Conditions</strong></h4><ul><li><strong>Operating temperature:</strong> 4–40 °C</li><li><strong>Humidity:</strong> &lt;90% non-condensing</li></ul><h4><strong>Power and Dimensions</strong></h4><ul><li><strong>Power supply: </strong>100–240 V, 50–60 Hz</li><li><strong>Power consumption: </strong>65 W</li><li><strong>Dimensions (W × H × D):</strong> 361 × 158 × 523 mm</li><li><strong>Weight: </strong>5.9 kg</li></ul><h3><strong>Applications</strong></h3><ul><li>Routine HPLC analysis</li><li>Fast LC methods</li><li>Pharmaceutical quality control</li><li>Food and beverage analysis</li><li>Environmental testing</li><li>Chemical analysis</li><li>Preparative liquid chromatography</li><li>Academic and research laboratories</li></ul>

KNAUER AZURA UVD 2.1S UV Detector

Compact single-wavelength UV detector for routine HPLC applications with 190–500 nm range, flexible flow-cell options, and seamless software integration.

<p><strong>The KNAUER AZURA® UVD 2.1S is a compact, cost-effective single-wavelength UV detector designed for routine HPLC applications. Despite its small footprint, it delivers reliable performance and excellent technical specifications, making it one of the most compact HPLC UV detectors available on the market.</strong></p><p>Equipped with a deuterium lamp covering the <strong>wavelength range from 190 to 500 nm</strong>, the detector is suitable for a broad range of analytical chromatography applications. Its intelligent design provides quick access to the flow cell, enabling fast replacement and simplified maintenance. A wide selection of interchangeable flow cells is available, including bio-inert and stainless-steel versions for analytical and preparative LC applications with <strong>flow rates ranging from 10 μL/min up to 10 L/min</strong>.</p><h3><strong>Key Features</strong></h3><ul><li>Compact single-wavelength UV detector for HPLC</li><li>One of the smallest HPLC UV detectors available</li><li>Wavelength range <strong>from 190 to 500 nm</strong></li><li>Deuterium lamp with integrated GLP chip</li><li>Suitable for routine analytical applications</li><li>Compact AZURA® housing design</li><li>Easily accessible flow cell for rapid replacement</li><li>Wide range of interchangeable flow cells available</li><li>Compatible with analytical and preparative LC applications</li><li><strong>Flow rates from 10 μL/min up to 10 L/min</strong></li><li>Stand-alone operation via front panel</li><li><strong>LAN, RS-232</strong>, and analog communication interfaces</li><li>Compatible with major chromatography data systems</li><li>Available as a module for <strong>AZURA® ASM 2.2L</strong></li><li>Low maintenance requirements</li></ul><h3><strong>Technical Specifications</strong></h3><h4><strong>Detection System</strong></h4><ul><li><strong>Detection channels: </strong>1</li><li><strong>Light source:</strong> Deuterium (D₂) lamp with integrated GLP chip</li><li><strong>Wavelength range:</strong> 190–500 nm</li><li><strong>Spectral bandwidth: </strong>13 nm (FWHM)</li><li><strong>Wavelength accuracy: </strong>±3 nm</li><li><strong>Wavelength precision: </strong>0.7 nm</li></ul><h4><strong>Performance</strong></h4><ul><li><strong>Noise:</strong> ±20 µAU at 254 nm</li><li><strong>Drift:</strong> 300 µAU/h at 254 nm</li><li><strong>Linearity:</strong> &gt;2.0 AU at 274 nm</li><li><strong>Maximum data rate:</strong><ul><li>50 Hz via LAN</li><li>20 Hz via analog output</li><li>10 Hz via RS-232</li></ul></li></ul><h4><strong>Flow Cells</strong></h4><ul><li>Flow cells sold separately</li><li>Bio-inert and stainless-steel options available</li><li>Suitable for analytical and preparative chromatography</li><li>Flow rates from 10 μL/min to 10 L/min</li></ul><h4><strong>Communication and Control</strong></h4><ul><li>Front panel operation</li><li>Mobile Control software</li><li>Software control</li><li>Event control</li><li>Analog control</li><li>Terminal protocol</li></ul><h4><strong>Interfaces</strong></h4><ul><li>LAN (RJ-45)</li><li>RS-232 (SUB-D 9)</li><li>Multi-pin connector</li><li>Analog interface (RCA connector)</li></ul><h4><strong>Inputs</strong></h4><ul><li>Autozero</li><li>Start (IN)</li><li>Error (IN/OUT)</li><li>0–10 V Analog Input</li></ul><h4><strong>Outputs</strong></h4><ul><li>Error (OUT/IN)</li></ul><h4><strong>Analog Signals</strong></h4><ul><li>Analog wavelength input: 0–10 V</li><li>Analog output: 1 × ±2.5 V scalable</li><li>Resolution: 20-bit</li></ul><h4><strong>GLP Functions</strong></h4><ul><li>Lamp operating hours monitoring</li></ul><h4><strong>Display</strong></h4><ul><li>LED display</li></ul><h4><strong>Environmental Conditions</strong></h4><ul><li><strong>Operating temperature:</strong> 4–40 °C</li><li><strong>Humidity</strong>: &lt;90% non-condensing</li></ul><h4><strong>Power and Dimensions</strong></h4><ul><li><strong>Power supply:</strong><ul><li>Input: 100–240 V</li><li>Output: 24 V DC</li></ul></li><li><strong>Power consumption: </strong>60 W</li><li><strong>Dimensions (W × H × D):</strong> 121 × 129 × 187 mm</li><li><strong>Weight: </strong>1.5 kg</li></ul><h3><strong>Applications</strong></h3><ul><li>Routine HPLC analysis</li><li>Quality control laboratories</li><li>Pharmaceutical analysis</li><li>Food and beverage testing</li><li>Environmental analysis</li><li>Academic research</li><li>Preparative liquid chromatography</li><li>Compact and space-limited laboratory environments</li></ul>

KNAUER AZURA RID 2.1L Refractive Index Detector

Sensitive refractive index detector for HPLC and GPC applications. Ideal for sugars, alcohols, lipids, and polymers with excellent stability and low maintenance.

<p><strong>The KNAUER AZURA® RID 2.1L is a highly sensitive and cost-effective differential refractive index detector designed for compounds that exhibit little or no UV absorbance. It is ideally suited for the analysis of sugars, alcohols, lipids, polymers, and other non-UV active substances in analytical HPLC and selected GPC applications.</strong></p><p>The detector incorporates an intelligently designed optical system with advanced temperature control, ensuring exceptional sensitivity, rapid baseline stabilization, and excellent reproducibility. A long-life LED light source, highly pressure-resistant flow cell, integrated leak management, and advanced diagnostic functions contribute to reliable operation and minimal maintenance requirements.</p><h3><strong>Key Features</strong></h3><ul><li>Differential refractive index detector for <strong>analytical HPLC and selected GPC applications</strong></li><li>Ideal for compounds with little or no UV activity</li><li>Suitable for sugars, alcohols, lipids, polymers, and related compounds</li><li>Highly sensitive optical system with advanced temperature control</li><li>Fast baseline stabilization and excellent reproducibility</li><li><strong>Long-life LED light source</strong></li><li>Wide refractive index measurement range</li><li>High-pressure resistant flow cell included</li><li>Low dispersion volume for improved chromatographic performance</li><li><strong>Maximum flow rate up to 10 mL/min</strong></li><li>Integrated internal and external leak management</li><li>Comprehensive diagnostics and GLP reporting</li><li>LAN and analog connectivity</li><li><strong>Compatible with ClarityChrom®, OpenLAB®, Chromeleon™, PurityChrom®, and Mobile Control software</strong></li></ul><h3><strong>Technical Specifications</strong></h3><h4><strong>Detection System</strong></h4><ul><li><strong>Detection channels:</strong> 1</li><li><strong>Light source: L</strong>ong-life LED</li><li><strong>Refractive index range: </strong>1.00–1.75 RIU</li></ul><h4><strong>Performance</strong></h4><ul><li><strong>Noise: </strong>±2.5 nRIU</li><li><strong>Drift: </strong>200 nRIU/h</li><li><strong>Linearity:</strong> &gt;1000 µRIU</li><li><strong>Maximum data rate:</strong><ul><li>100 Hz via LAN</li><li>20 Hz via analog output</li></ul></li></ul><h4><strong>Flow Cell</strong></h4><ul><li>Included as standard</li><li><strong>Backpressure resistance:</strong> 5 bar</li><li><strong>Maximum flow rate: </strong>10 mL/min (water)</li><li><strong>Flow cell volume: </strong>15 µL</li><li><strong>Dispersion volume:</strong> 43 µL</li><li><strong>Wetted materials:</strong><ul><li>Stainless steel</li><li>Quartz</li><li>PTFE</li></ul></li></ul><h4><strong>Temperature Control</strong></h4><ul><li>OFF mode available</li><li>Adjustable from 30 °C to 55 °C</li><li>1 °C increments</li></ul><h4><strong>System Functions</strong></h4><ul><li>Full-range autozero</li><li>Internal leak sensor</li><li>External leak management</li><li>Advanced diagnostics functions</li></ul><h4><strong>Communication and Control</strong></h4><ul><li>Mobile Control software</li><li>Chromatography software control</li><li>Event control</li><li>Analog control</li><li>Terminal protocol</li></ul><h4><strong>Inputs</strong></h4><ul><li>Error (IN)</li><li>Start (IN)</li><li>Autozero</li><li>Flush (IN)</li></ul><h4><strong>Outputs</strong></h4><ul><li>Event 1</li><li>Start (OUT)</li><li>Error (OUT)</li><li>+5 V</li><li>24 V valve output</li></ul><h4><strong>Analog Output</strong></h4><ul><li>1 × 0–2.5 V scalable</li><li>20-bit resolution</li><li>Adjustable offset</li></ul><h4><strong>Interfaces</strong></h4><ul><li>2 × LAN (RJ-45, dual IP stack)</li><li>USB (service only)</li><li>Multi-pin connector</li><li>Analog interface (cinch connector)</li></ul><h4><strong>GLP Functions</strong></h4><ul><li>Operating hours tracking</li><li>Light source operating hours</li><li>Detailed GLP reports</li></ul><h4><strong>Environmental Conditions</strong></h4><ul><li><strong>Operating temperature: </strong>4–40 °C</li><li><strong>Humidity:</strong> &lt;90% non-condensing</li></ul><h4><strong>Power and Dimensions</strong></h4><ul><li><strong>Power supply:</strong> 100–240 V, 50–60 Hz</li><li><strong>Power consumption: </strong>65 W</li><li><strong>Dimensions (W × H × D):</strong> 361 × 158 × 523 mm</li><li><strong>Weight:</strong> 10.8 kg</li></ul><h4><strong>Optional Accessories</strong></h4><ul><li>Mobile Control software interface</li></ul><h3><strong>Applications</strong></h3><ul><li>Sugar analysis</li><li>Carbohydrate profiling</li><li>Alcohol determination</li><li>Lipid analysis</li><li>Polymer characterization</li><li>Gel permeation chromatography (GPC)</li><li>Food and beverage testing</li><li>Pharmaceutical analysis</li><li>Chemical and petrochemical laboratories</li><li>Quality control and research applications</li></ul>

KNAUER RF-20A Fluorescence Detector

High-sensitivity fluorescence detector for HPLC with 200–650 nm wavelength range, ≥1200 S/N ratio, fast 10 ms response, and excellent trace-level detection performance.

<p><strong>The KNAUER RF-20A Fluorescence Detector is a highly sensitive fluorescence detector designed for demanding HPLC applications requiring exceptional selectivity and trace-level detection. Covering a wavelength range from 200 to 650 nm, the RF-20A delivers outstanding sensitivity, excellent reproducibility, and reliable operation for both routine and advanced chromatographic analyses.</strong></p><p>With a signal-to-noise ratio of at least 1200 for the water Raman band, the detector is ideally suited for trace-level determinations in pharmaceutical, environmental, food, and biochemical applications. A fast 10 ms response time supports high-speed chromatography without compromising chromatographic resolution. Time-programmed wavelength switching allows optimal excitation and emission settings throughout the run, enabling highly sensitive multi-component analysis.</p><h3><strong>Key Features</strong></h3><ul><li>High-sensitivity fluorescence detector for HPLC applications</li><li><strong>Wavelength range from 200 to 650 nm</strong></li><li><strong>Signal-to-noise ratio ≥1200</strong> (water Raman band)</li><li>Excellent performance for trace-level analysis</li><li><strong>Fast 10 ms response time</strong></li><li>Time-programmable wavelength switching</li><li>Multi-component analysis at optimal wavelengths</li><li><strong>Long-life xenon lamp</strong> (approx. 2,000 hours)</li><li>Front-accessible lamp and flow cell</li><li>No optical adjustment required after lamp replacement</li><li>Minimal maintenance requirements</li><li>Stand-alone operation via keypad and display</li><li><strong>Compatible with ClarityChrom®, OpenLAB®, and PurityChrom® software</strong></li><li>Easy integration into existing LC systems</li></ul><h3><strong>Technical Specifications</strong></h3><h4><strong>Detection System</strong></h4><ul><li><strong>Detection channels: </strong>1</li><li><strong>Number of signals:</strong> 1</li><li><strong>Light source: </strong>Xenon lamp</li><li><strong>Wavelength range:</strong> 200–650 nm</li><li><strong>Spectral bandwidth:</strong> 20 nm</li><li><strong>Wavelength accuracy:</strong> ±2 nm</li><li><strong>Wavelength precision:</strong> ±0.2 nm</li></ul><h4><strong>Sensitivity</strong></h4><ul><li><strong>Signal-to-noise ratio: </strong>≥1200 (water Raman band)</li><li><strong>Sensitivity settings:</strong><ul><li>HIGH (×1)</li><li>MED (×32)</li><li>LOW (×1024)</li></ul></li></ul><h4><strong>Flow Cell</strong></h4><ul><li>Standard flow cell included</li><li><strong>Flow cell volume: </strong>12 µL</li><li><strong>Wetted materials:</strong><ul><li>SUS316L stainless steel</li><li>PTFE</li><li>Quartz</li></ul></li></ul><h4><strong>Signal Processing</strong></h4><ul><li><strong>Response time: </strong>10 ms</li><li><strong>Gain settings: </strong>×1, ×4, ×16</li></ul><h4><strong>Functions</strong></h4><ul><li>Autozero function</li><li>Baseline shift function</li><li>Time-programmed wavelength switching</li></ul><h4><strong>Communication</strong></h4><ul><li>RS-232 interface</li><li>Analog output</li><li>Software control</li><li>Stand-alone operation via keypad and display</li></ul><h4><strong>Environmental Conditions</strong></h4><ul><li><strong>Operating temperature:</strong> 4–35 °C</li><li><strong>Relative humidity: </strong>20–85% (non-condensing)</li></ul><h4><strong>Power and Dimensions</strong></h4><ul><li><strong>Power supply: </strong>AC 220–240 V</li><li><strong>Frequency: </strong>50/60 Hz</li><li><strong>Power consumption: </strong>400 VA</li><li><strong>Dimensions (W × H × D):</strong> 260 × 210 × 420 mm</li><li><strong>Weight:</strong> 16 kg</li></ul><h3><strong>Applications</strong></h3><ul><li>Pharmaceutical analysis</li><li>Impurity profiling</li><li>Environmental monitoring</li><li>Food and beverage testing</li><li>Amino acid analysis</li><li>Vitamin analysis</li><li>PAH analysis</li><li>Biomolecule detection</li><li>Trace contaminant determination</li><li>Research and quality control laboratories</li></ul>

Products focused on HPLC - page 6

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