<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezLCMS Library in the week of 22nd September 2025? Check out new documents from the field of liquid phase, especially HPLC and LC/MS techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT LCMS AND RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p></blockquote><p>This week we bring you application notes by <strong>Agilent Technologies, Shimadzu </strong>and <strong>Waters Corporation </strong>and<strong> </strong>poster by <strong>Thermo Fisher Scientific / HPLC Symposium!</strong></p><h3><strong>1. Agilent Technologies: Quantitation of N-Nitroso Nebivolol in Nebivolol Tablet Formulation</strong></h3><p><strong>Using an </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=6495D+triple+quadrupole"><strong>Agilent 6495D triple quadrupole LC/MS system</strong></a></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_nebivolol_tablet_formulation_6495_qqq_lc_ms_system_5994_8053en_agilent_e7f21eb12f.pdf"><strong>Full PDF for download</strong></a></li></ul><p>N-Nitroso Nebivolol is a NDSRI of Nebivolol, a beta-1 adrenergic receptor antagonist commonly used in the treatment of hypertension and heart failure. In the carcinogenic potency categorization published by the FDA, N-Nitroso Nebivolol has been categorized as Class 4, indicating the maximum allowable intake limit for the impurity to be 1,500 ng/day. Nebivolol has maximum daily dosage limit of 40&nbsp;mg for adults.</p><p>Considering a maximum daily dose of 40&nbsp;mg and allowable intake of 1,500&nbsp;ng/day for the nitrosamine impurity in the formulation under study, the specification limit of N-Nitroso Nebivolol has been calculated as 22.5 ng/mL for the 0.6 mg/mL test concentration used during this study.&nbsp;</p><p>This application note demonstrates a highly specific, sensitive, and reproducible method for the quantitation of N-Nitroso Nebivolol in a 20 mg Nebivolol tablet formulation. The method uses a 1290 Infinity II LC coupled to a 6495D triple quadrupole LC/MS/MS. The multiple reaction monitoring (MRM) conditions and ion source parameters were automatically optimized using the optimizer tool available with MassHunter Acquisition software to maximize the sensitivity of the target analyte. The API peaks were diverted to waste with the help of an integrated, software-controlled diverter valve during quantitation of the&nbsp;impurity.</p><h4><strong>Experimental</strong></h4><h5><strong>Equipment&nbsp;</strong></h5><p>The analysis was performed on a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=1290+Infinity+II+LC"><strong>1290 Infinity II LC system</strong></a> coupled to a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=6495D+triple+quadrupole"><strong>6495D triple quadrupole LC/MS/ MS</strong></a>. The LC system was equipped with the following&nbsp;modules: – Agilent 1290 Infinity II high-speed pump (G7120A) – Agilent 1290 Infinity II multisampler (G7167B) – Agilent 1290 Infinity II multicolumn thermostat (G7116B) – Agilent 1290 Infinity II diode array detector (G7117A)</p><h4><strong>Conclusion&nbsp;</strong></h4><p>A highly sensitive and robust MRM method was developed for the quantitation of N-Nitroso Nebivolol in 20&nbsp;mg Nebivolol tablet formulation using an Agilent 6495D triple quadrupole LC/MS system. The chromatographic method developed provided good separation between the analyte and the API. The method showed LOD and LOQ of 2 and 5 pg/mL, respectively. The minimum signal-to-noise ratio at the LOQ level was found to be more than 50:1 (Peak to Peak). The calibration curve from 5 pg/mL to 50&nbsp;ng/mL was found to be linear, with 1/x weighting. R and R2 values were 0.999 and 0.997, respectively. Spike recovery analysis showed the efficiency of sample extraction with a recovery percentage of 116.8% in API, 108.3% in placebo, and 111.8% in tablet formulation at the spiking level of 200 pg/mL. The method was found to be highly reproducible at the LOQ level, while the %RSD value for the area response of seven replicate injections was approximately 3.1%.</p><h3><strong>2. Shimadzu: Efficient Method Development for Synthetic Peptide and Related Impurities</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00780_en_4d0aa014ea.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User Benefits</strong></h5><ul><li>LabSolutions MD improves the efficiency of the entire workflow for method development of synthetic peptide and impurities.&nbsp;</li><li>Screening for multiple mobile phases and columns can be automated using mobile phase and column switching valves.&nbsp;</li><li>Molecular weights of peptides and related impurities can be estimated and accurately tracked with LCMS-2050, a single quadrupole mass spectrometer.</li></ul><p>Peptide therapeutics, characterized by specific amino acid sequences crucial to their function, can be synthesized chemically, similar to small molecule drugs. The production of synthetic peptides involves multiple steps, including deprotection, activation, coupling, and the cleavage of the final sequence from the solid support. Impurities, such as those resulting from premature chain termination or missing amino acids, can affect the safety and efficacy of the final product. Therefore, these impurities must be separated by liquid chromatography (LC). In LC analysis, selecting the appropriate mobile phase and column across a wide range of combinations is critical for achieving optimal separation, as it significantly impacts the separation. However, since the separation pattern varies depending on the peptide chain lengths, amino acid compositions, and presence of modifications, optimizing separation for each peptide sequence is time-intensive. This study describes how to efficiently find the best separation conditions for peptides and related impurities utilizing LabSolutions MD, a dedicated software for supporting method development, through both screening and optimization phases.</p><h4><strong>Experimental</strong></h4><ul><li><strong>LC System: </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=Nexera+X3"><strong>Nexera X3</strong></a> (Method Scouting System)</li><li><strong>MS System: </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=LCMS-2050"><strong>LCMS-2050</strong></a></li></ul><h4><strong>Automated Peak Tracking by LCMS-2050&nbsp;</strong></h4><p>LC chromatograms obtained with a gradient time of 5 min, flow rate of 0.6 mL/min, and initial concentration of 5 % and 15 %, along with molecular weights for FLP and impurities, are shown in Fig. 18. The UV spectra for each impurity are displayed in Fig. 19. The similarity between UV spectra of Met(O2), p.A1del, p.A1_E2del, p.A1_K3del, and p.A1_D5del is greater than 0.99, suggesting that peak tracking based on UV spectra would be challenging. In contrast, LabSolutions MD enables peak tracking based on molecular weights acquired by LCMS-2050, facilitating accurate identification of compounds with similar UV spectra (Fig. 18). The estimated molecular weights for each compound show small mass errors compared to the theoretical values (Table 3), which can be used to confirm the molecular weights of known compounds as well as to approximate the molecular weights of unknown impurities.</p><h4><strong>Conclusion</strong></h4><p>The separation patterns of synthetic peptides vary depending on mobile phase composition, column type, and various LC parameters, such as gradient conditions, column oven temperature, and flow rate. Separation behavior can also differ based on peptide structure, including length, amino acid composition, and the presence of modifications. Therefore, it is necessary to optimize the separation for each peptide sequence individually. However, optimizing analytical conditions through numerous analyses and data processing can be time-consuming. LabSolutions MD automates the entire workflow, including generating analysis schedules, preparing mobile phases, and processing the data, thanks to functionalities such as automated peak tracking, ranking of chromatograms, and design space visualization. This article introduced a case where the optimal separation conditions for synthetic peptides were efficiently identified through screening and optimization phases. LabSolutions MD also offers fully automated gradient optimization by AI algorithm to meet user-defined criteria. For more details, please refer to the application news, “Automatic Optimization of Gradient Conditions by AI Algorithm on Synthetic Peptide and Impurities: 01-00814”.</p><h3><strong>3. Thermo Fisher Scientific / HPLC Symposium: Sensitive cationic lipids impurities analysis with quantitation by charged aerosol detection and simultaneous mass confirmation by MS</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/po_sensitive_cationic_lipids_impurities_analysis_quantitation_po_en_3dacf61554.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Cationic lipid is a critical component in lipid nanoparticle formulations for delivering nucleic acids such as mRNA, siRNA, antisense oligonucleotides etc. [2] Cationic lipids are amphiphilic molecules that possess a hydrophilic region, a hydrophobic region, and a linker structure connecting the two. [1] Charged aerosol detector (CAD) and evaporative light scattering detectors (ELSD) are preferred for characterizing lipid nanoparticle components, with CAD being the better choice for impurity quantification due to its higher sensitivity [3]. In a previous study, an inverse gradient method was developed to quantify impurities in cationic lipids raw materials.[1] To demonstrate the inverse gradient method on CAD HP, the same cationic lipids -- R-DOTAP, DLin-KC2- DMA and ALC-0315 -- were measured to this experiment as in Application note 003384 [1]. New diverter valve and software features were showcased, along with method’s sensitivity and repeatability.</p><h4><strong>Materials and methods</strong></h4><p>Using the inverse gradient method from Application note 003384 [1], to demonstrate impurity analysis in cationic lipids on the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2176"><strong>Thermo Scientific Vanquish Charged Aerosol Detector HP (CAD HP)</strong></a> integrated in the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/743"><strong>Thermo Scientific Vanquish Flex Inverse Gradient UHPLC System</strong></a>, with parallel mass confirmation by the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/413"><strong>Thermo Scientific ISQ EM Single Quadrupole Mass Spectrometer</strong></a>.&nbsp;</p><p><strong>Methods:</strong> The workflow uses a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/743"><strong>Vanquish Flex Inverse Gradient LC system</strong></a> with Vanquish CAD HP and <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1970"><strong>Thermo Scientific Hypersil GOLD C8 column</strong></a>.</p><h5><strong>Data Analysis&nbsp;</strong></h5><p><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/76"><strong>Thermo Scientific Chromeleon Chromatography Data System (CDS)</strong></a> 7.2.10 was used for data acquisition and analysis.</p><h4><strong>Conclusions&nbsp;</strong></h4><p>The CAD HP integrates perfectly into the Vanquish Inverse Gradient LC system and offers high sensitivity and excellent repeatability for quantitative cationic lipid impurity analysis, while the ISQ EM MS provides straightforward mass confirmation with high repeatability, all under compliance-ready conditions.</p><h3><strong>4. Waters Corporation: Quantitative Analysis of Four Long-Chain Lysophosphatidylcholines (LPCs) in Dried Blood Spot using Liquid Chromatography Tandem Mass Spectrometry for Clinical Research</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720008826_en_dc154872b6.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>Benefits</strong></h5><ul><li>Good chromatographic resolution of all forms</li><li>Short extraction time compared to traditional methods for lipid extraction</li><li>Short analysis injection-to-injection 7 minutes</li></ul><p>Historically, very long chain fatty acids have been quantified using direct transesterification and gas chromatography methods which involve time-consuming and labor-intensive sample preparation and analysis. Consequently, simpler LC-MS/MS methods have been reported for the measurement of long-chain LPCs (LPCs generic chemical structure, Figure 1) in DBS. Interferences have been reported using positive ESI, thus researchers have developed methodologies utilizing negative ESI to circumvent isobaric interferences when there is lack of chromatographic resolution. Here a UHPLC-MS/MS method is described using acetate adducts for the reliable analysis of four long-chain LPCs in DBS for clinical research.&nbsp;</p><p>A UHPLC-MS/MS method for quantifying a panel of LPCs (C20:0, C22:0, C24:0, and C26:0-LPCs) was developed. The mobile phase composition consisted of a mixture of water, acetonitrile, and isopropanol with 5 mM ammonium acetate as a modifier. The DBS sample extraction used a working solution prepared with the deuterated LPC internal standards in methanol. The method was developed with an ACQUITY UPLC I-Class PLUS System (Fixed Loop) using an ACQUITY Premier CSH C18 Column, which provided baseline resolution of endogenous isobaric interferences for the saturated forms of the targeted LPCs. The detector was a Xevo TQ-S micro Mass Spectrometer operated in negative ESI mode. This methodology resulted in a total analysis time (injection-to-injection) of 7 minutes.</p><h5><strong>LC Conditions&nbsp;</strong></h5><ul><li><strong>LC system: </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/199"><strong>ACQUITY UPLC I-Class PLUS FL&nbsp;</strong></a></li><li><strong>System Detection: </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/209"><strong>Xevo TQ-S micro Mass Spectrometer&nbsp;</strong></a></li><li><strong>Plate:</strong> Waters 96-well Sample Collection Plate, 350 µL&nbsp;</li><li><strong>Column(s): </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1952"><strong>ACQUITY Premier CSH C18 Column</strong></a>, 2.1 mm x 50 mm, 1.7 µm (p/n: 186009460)</li></ul><h5><strong>MS Conditions&nbsp;</strong></h5><ul><li><strong>MS system:</strong> Xevo TQ-S micro Mass Spectrometer</li></ul><h5><strong>Data Management&nbsp;</strong></h5><ul><li><strong>MS software: </strong><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/635"><strong>MassLynx™ v4.2 Software SCN 1045&nbsp;</strong></a></li><li><strong>Informatics: </strong>TargetLynx™ XS v4.2 Software SCN1045 and QUAN Review</li></ul><h4><strong>Results and Discussion&nbsp;</strong></h4><p>During method development, different types of column chemistry, mobile phase composition, and ESI polarity modes were assessed to optimize chromatographic peak shape, analytical sensitivity and manage interferences. In positive mode, ammonium formate favored the formation of m/z 184 and m/z 104 as daughter ions for all the LPCs. The m/z 184 ion lacks specificity because most phospholipids share this moiety, so the ion m/z 104 was selected as quantifier. Having evaluated conditions in positive mode for the analysis of the four saturated LPCs, it was observed that some existing interferences were not only affecting the parent masses of the analytes but their corresponding internal standard parent ion masses too. Hence, negative ionization using ammonium acetate as modifier was assessed for the detection of LPCs. Acetate adducts [M+CH3COO]- were the most abundant parent ion masses, generated under these conditions for each LPC. The acyl-chain product ions generated in negative ionization reduce the detection of interferences coming from other phosphocholine headgroups. The latter detection conditions were used for the validation of the method presented herein.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>An LC-MS/MS clinical research method for measuring C20:0, C22:0, C24:0, and C26:0 LPCs with the ACQUITY UPLC I-Class PLUS FL System, and the Xevo TQ-S micro Mass Spectrometer that:</p><ul><li>Demonstrates good linearity, with no significant carryover, or matrix effects</li><li>Offers good precision with a total reproducibility and repeatability <span>≤</span>10% CV</li><li>Offers reliability in the identification of LPCs from interfering isobaric compounds Provides good selectivity and analytical sensitivity in negative mode and is relatively fast as approximately 220 samples can be analyzed in 24 hours</li></ul>

News from LabRulezLCMS Library - Week 39, 2025

<p><strong>Tasty beer starts with knowing what’s in your hops. Explore how online SPE makes bitter acid analysis in hops faster and more reliable.</strong></p><h4><strong>How can you detect bitter acid profiles quickly, reliably, and more sustainably?</strong></h4><p>For craft brewers and beer lovers alike, a refreshing experience is all about flavor.</p><p>So how can you achieve the desired bitterness in your beer? The answer is not just about the recipe. Finding the right flavor profile starts with the bitter acids present in the starting hops material.</p><div><div><p>Hops (the heart of your favorite beer) are the source of the brew’s distinctive flavor tied to bitterness and aroma.</p><p>At the molecular level, bitterness is driven by <a target="_blank" rel="noopener noreferrer" href="https://www.sciencedirect.com/science/article/pii/S0308814622016338">α- and β-bitter acids</a>, like humulones and lupulones, whose concentrations determine the final sensory profile of the beer (<strong>Figure 1</strong>).</p><p>Accurately characterizing these compounds in each batch allows brewers to unlock the full potential of every variety of hops.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_How_Bitter_Acid_Analysis_Helps_Brewers_Better_Control_Beer_Flavors_2_6435757c03.jpeg" alt="Thermo Fisher Scientific: How Bitter Acid Analysis Helps Brewers Better Control Beer Flavors: Figure 1. General chemical structure of hop bitter acids." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_How_Bitter_Acid_Analysis_Helps_Brewers_Better_Control_Beer_Flavors_2_6435757c03.jpeg 222w," sizes="100vw" width="700" height="493"></p><p>While conventional analytical methods rely on long, manual sample preparation steps and hazardous solvents, laboratories now strive for greener and more efficient workflows.</p><p>And moving from manual to online sample preparation is one of the easiest ways your lab can reduce waste and — most importantly — improve reliability with automation.</p><h4><strong>Key takeaways</strong></h4><ul><li>Online SPE reduces hands-on work, shortens turnaround time, and supports more sustainable methods by cutting solvent use and eliminating single-use cartridges.</li><li>Automated UHPLC workflows are easier for new users to execute, offering more reproducible quantifications of α- and β-bitter acids in hops.</li><li>Accurate bitter acid profiles help brewers distinguish hop varieties and control flavor with confidence.</li></ul><h4><strong>Comparing offline vs. online solid phase extraction for bitter acid HPLC analysis</strong></h4><p>If you’ve spent long hours in the lab preparing samples for hops analysis, you’re not alone.</p><p>Manual sample preparation often takes the most time in hops analysis, an area where online <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/content/lifetech/global/en/home/industrial/chromatography/chromatography-learning-center/chromatography-consumables/sample-prep.html">solid phase extraction</a> (SPE) can make a real difference. Here’s why.</p><p>Manual SPE has a lot of manual steps. Extraction. Cartridge loading. Washing. Elution. And sometimes solvent exchange or reduction. All before your actual analysis begins. This labor-intensive workflow can take up to an hour and depends strongly on operator skillsets, making reproducibility a challenge for new hires.</p><h4><strong>Online SPE analysis provides key benefits like:</strong></h4><ul><li>Hands-off workflow free of cartridges, manifolds, or vacuum steps.</li><li>Column washing and re-equilibration occur in parallel with separation.</li><li>SPE step is complete in just two minutes.</li><li>Minimizes operator-dependent variability.</li><li>Uses less than 8 mL of solvent.</li></ul><p>Let’s explore what this technique looks like in practice.</p><h4><strong>Online SPE for analyzing α- and β-bitter acids in hops standard solutions.</strong></h4><p>Changing your sample preparation from manual to automated isn’t complicated. With the right tools you can fully integrate online SPE with your UHPLC system (<strong>Figure 2</strong>).</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_How_Bitter_Acid_Analysis_Helps_Brewers_Better_Control_Beer_Flavors_3_4fb14243b4.jpeg" alt="Thermo Fisher Scientific: How Bitter Acid Analysis Helps Brewers Better Control Beer Flavors: Figure 2. Schematic workflow for the determination of bitter acids in hops. The process involves clean up and instrumental analysis using the Thermo Scientific Vanquish Online SPE UHPLC System." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_How_Bitter_Acid_Analysis_Helps_Brewers_Better_Control_Beer_Flavors_3_4fb14243b4.jpeg 245w," sizes="100vw" width="700" height="323"></p><h4><strong>The process for analyzing a hops standard solution is straightforward:</strong></h4><ol><li>First, extract hop samples with ethanol (a greener alternative to toluene or diethyl ether in conventional methods).</li><li>Inject the extract directly into your instrument for analysis. Bitter acids retain<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1970"><strong> on the SPE column</strong></a> while matrix interferences that can comprise quantitation are removed.</li><li>Next, backflush the SPE column to transfer the analytes to the<a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/423"><strong> analytical column </strong></a>for separation. While this separation is taking place, the SPE column is washed and re-equilibrated in parallel, keeping the total run time to 15 minutes, with the separation of all six major bitter acids in a single analysis (<strong>Figure 3</strong>).</li></ol><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_How_Bitter_Acid_Analysis_Helps_Brewers_Better_Control_Beer_Flavors_4_1e47405e3c.jpeg" alt="Thermo Fisher Scientific: How Bitter Acid Analysis Helps Brewers Better Control Beer Flavors: Figure 3. UV chromatogram of hop bitter acids in standard solution (1-cohumulone, 2-humulone, 3-adhumulone, 4-colupulone, 5-lupulone, 6-adlupulone)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_How_Bitter_Acid_Analysis_Helps_Brewers_Better_Control_Beer_Flavors_4_1e47405e3c.jpeg 245w," sizes="100vw" width="700" height="347"></p><h4><strong>Online SPE for analyzing α- and β-bitter acids in real hops samples</strong></h4><p>Analytical labs need methods that are accurate and reliable for brewers to develop distinct and reproducible flavor profiles across batches.</p><p>To assess the applicability of online SPE UHPLC methods for hops analysis, we analyzed bitter acid profiles from four species — Sultana, Barbe Rouge, Azacca, and Sabro.</p><p>The concentration of α-acids dominated all samples, while each hops species exhibited distinct profiles in terms of α-acid and β-acid content, making them suitable for different brewing strategies (<strong>Figure 4</strong>).</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_How_Bitter_Acid_Analysis_Helps_Brewers_Better_Control_Beer_Flavors_5_3a179217db.jpeg" alt="Thermo Fisher Scientific: How Bitter Acid Analysis Helps Brewers Better Control Beer Flavors: Figure 4. Bitter acid profiles in four different hop species, error bars display SD (n=6). To check method consistency, we measured each hops extract six times. Variation between measurements was low, with relative standard deviation below 3.5 % across all hops species." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_How_Bitter_Acid_Analysis_Helps_Brewers_Better_Control_Beer_Flavors_5_3a179217db.jpeg 245w," sizes="100vw" width="700" height="410"></p><ul><li>For testing labs, this process translates into a workflow that is easy to run, fast, and delivers reliable results without added complexity.</li><li>For craft brewers, reliability means clear, trustworthy insights into hops bitter acid profiles, for better hop selection and more precise control of bitterness and flavor in your beer.</li></ul><h4><strong>From carefully procured samples to tasty sips</strong></h4><p>Efficient UHPLC workflows support faster results, less solvent use, and reliable bitterness data for brewers. And online SPE turns those advantages into practical, day-to-day benefits for brewers and labs alike.</p><ul><li>Less hands-on skills required for lab analysts</li><li>Faster results from labs to brewers</li><li>A more sustainable way to work</li><li>Clear insights into hops flavor</li></ul><p>To learn more about the method and see the full application data, <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/cn_004238_hplc_vanquish_online_spe_bitter_acids_hops_cn004238_na_en_587a5d300b.pdf"><strong>check out our application note today</strong></a>.</p><h4><strong>FAQs</strong></h4><div><div><h5><strong>What are the key compounds in hops analyzed by HPLC?</strong></h5><p>Bitter acids, namely α-acids and β-acids, especially the six major bitter acids (humulones and lupulones) that define hop bitterness and are required for quality control and brewing decisions.</p></div><div><h5><strong>What column types are recommended for hop acid separations?</strong></h5><p>Classical C18 Silica columns are ideal for bitter acids separation. UHPLC compatible columns with particle size ≤ 2 µm boost analysis with higher flow rate, thus shorter analysis time and solvent consumption.</p></div><div><h5><strong>What’s the best workflow for hops analysis?</strong></h5><p>A typical workflow for hop analysis consists of three main steps: extraction of the target compounds, clean-up of co-extracted matrix components, and instrumental analysis by HPLC or UHPLC. To keep this workflow efficient and reproducible, you should minimize manual handling and add in automation when possible. Integrating online SPE into your LC instrument allows sample clean-up to run automatically, reducing hands-on time, solvent use, and variability while delivering faster, more reliable results.</p></div></div><blockquote><p><strong>Visit us on&nbsp;</strong><a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/showcase/72003132/admin/dashboard/"><strong><u>LinkedIn:</u></strong></a>&nbsp;#UHPLC #Automation</p></blockquote></div></div>

How Bitter Acid Analysis Helps Brewers Better Control Beer Flavors

<p><strong>Quantifiable consistency. By tracking retention time consistency and peak symmetry across years of production, column performance becomes directly comparable.</strong></p><p>In chromatography, inconsistent separations are inconvenient and costly.</p><p>Every unexpected shift in retention time or change in peak shape can trigger a cascade of troubleshooting, reruns, and uncertainty that slows laboratory productivity.</p><p>On the other hand, when columns perform consistently, laboratories recover valuable time, reduce uncertainty, and maintain confidence in their data. True batch-to-batch consistency means fewer failed validations, fewer investigations, easier audits, and smoother collaboration across global sites.</p><p>In regulated industries, data integrity underpins every decision, from early development to final release testing, so consistent column performance is a necessity.</p><h3><strong>Key takeaways</strong></h3><ul><li>Batch-to-batch (U)HPLC column consistency directly influences long-term method performance by stabilizing retention times, preserving peak shape, and supporting reliable validation of pharmaceutical methods.</li><li>Multi-year performance data across thousands of columns shows us how controlled column manufacturing reduces chromatographic variability, supporting reproducible results across column formats, batches, and laboratories.</li><li>Stable (U)HPLC columns minimize revalidation, troubleshooting, and method transfer challenges in regulated workflows, improving analytical efficiency across the product lifecycle.</li></ul><h3><strong>Defining and measuring batch-to-batch (U)HPLC column consistency</strong></h3><p>A (U)HPLC column is packed with <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/content/lifetech/global/en/home/industrial/chromatography/chromatography-learning-center/chromatography-consumables/consumable-types.html"><strong>solid-phase particles</strong></a><strong> </strong>that <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/content/lifetech/global/en/home/industrial/chromatography/chromatography-learning-center/liquid-chromatography-information/hplc-system-components/how-hplc-columns-work.html"><strong>separate compounds by chemical structure</strong></a>.</p><p>If medium composition differs even slightly between manufacturing batches, retention times and peak shapes can change. These differences might seem minor, but in pharmaceutical analysis they can trigger failed validations, unnecessary troubleshooting, and inconsistent data across labs.</p><p>A recent evaluation of<a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/TG_20762_LC_Hypersil_GOLD_TG_20762_EN_ebcf64d4d6/TG-20762-LC-Hypersil-GOLD-TG20762-EN.pdf"><strong> Thermo Scientific Hypersil GOLD columns</strong></a> examined whether<a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/lcms/products?category=48&amp;manufacturerItems=3&amp;search=gold"><strong> these columns </strong></a>perform consistently across years of production. The answer: our results found sustained performance over time.</p><p>Across roughly <strong>17,500 columns tested over three years</strong>, researchers focused on two major indicators of a manufacturer’s column performance:</p><ul><li>Relative retention time (RRT), which is essentially how consistently compounds elute off the column.</li><li>Peak asymmetry, a reflection of column packing quality and how well peaks “behave.”</li></ul><p>In a recent technical note:<strong> </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/tn_004127_ccs_hypersil_gold_reversed_phrase_reproducibility_tn004127_na_en_d6375a67fb.pdf"><strong>Evaluation of batch-to-batch consistency of reversed-phase HPLC columns for long-term method validation</strong></a>, we evaluated three column configurations: a 250 mm × 4.6 mm, 5 μm column; a 150 mm × 4.6 mm, 5 μm column; and 50 mm × 2.1 mm, 5 μm column, using a test mixture of five compounds selected to represent different hydrophobicities.</p><p>Despite differences in column geometry and media batches, the method produced highly consistent chromatographic performance.</p><p>The method also achieved RRT relative standard deviation variation of no more than <strong>2.11% </strong>for the compounds and kept peak asymmetry within a narrow range of <strong>0.92 to 1.09</strong>. This level of control reduces uncertainty from long-term method validation, reinforcing confidence in predictable, reproducible column performance.</p><h3><strong>Why column stability over time matters</strong></h3><p>As an experienced analyst, you already know how frustrating <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/content/lifetech/global/en/home/industrial/chromatography/chromatography-learning-center/liquid-chromatography-information/hplc-method-development-steps.html"><strong>method validation</strong></a><strong> </strong>can be. You think you’ve nailed the method, only to find the results from run to run. Often, the issue isn’t you. It’s the tools.</p><p>When your column behaves the same every time, you will see several downstream benefits, such as:</p><p><strong>1. Improved confidence in data interpretation</strong></p><p>You don’t have to keep wondering whether differences in your data are coming from your chemistry or your column.</p><p><strong>2. Methods stay valid longer</strong></p><p>Pharmaceutical companies must monitor drug purity throughout the product lifecycle, from development to manufacturing to quality control. A column that performs consistently over time makes comparisons straightforward and reliable.</p><p><strong>3. Method transfer is more reliable</strong></p><p>Large companies operate across multiple global sites. When everyone uses columns that behave consistently, transferring methods becomes seamless rather than a months-long headache.</p><p><strong>A closer look at column performance data</strong></p><p>The published technical note visualizes column performance using clean, simple charts (<strong>Figure 1</strong>).</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_What_Multi_Year_Batch_Data_Reveals_About_U_HPLC_Column_Consistency_18faa4e44c.jpg" alt="Thermo Fisher Scientific: What Multi-Year Batch Data Reveals About (U)HPLC Column Consistency: Figure 1.&nbsp; (Top image) Batch-wise average RRT, normalized by o-Xylene for Hypersil GOLDTM 250 mm x 4.6 mm 5 µm (83 batches). (Bottom image) Average peak asymmetry evaluation of o-xylene Hypersil GOLDTM 250 mm x 4.6 mm 5 µm (83 batches)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_What_Multi_Year_Batch_Data_Reveals_About_U_HPLC_Column_Consistency_18faa4e44c.jpg 245w," sizes="100vw" width="1000" height="600"></p><p><strong>These graphs show us:</strong></p><ul><li>Tight clusters of RRT points across 83 batches, depending on column format.</li><li>Nearly identical behavior between columns of different dimensions, which is a sign of effective manufacturing process controls.</li><li>Peak asymmetry values hovering around 1.0, indicating well-packed columns producing sharp, reliable peaks.</li></ul><p>This data might not seem glamorous at first glance, but for anyone who’s spent hours troubleshooting peak tailing, drifting retention times, or inconsistent quality control (QC) results, these charts are beautiful.</p><h3><strong>Why column consistency matters for long-term method performance</strong></h3><p>In automated LC workflows, a small change in column behavior can affect multiple downstream outputs: integration, peak purity assessment, and calculated assay/impurity results. Over time, this can translate into system suitability failures, drift outside validated ranges, and additional validation or comparability work.</p><p>Column stability and batch-to-batch reproducibility are therefore critical for sustaining validated methods over time. The multi-batch data presented here demonstrate how controlled manufacturing processes can maintain consistent retention behavior and peak shape over time.</p><p>To learn how to test your column and determine what data to look for, read our technical note, <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/tn_004127_ccs_hypersil_gold_reversed_phrase_reproducibility_tn004127_na_en_d6375a67fb.pdf"><strong>Evaluation of batch-to-batch consistency of reversed phase HPLC columns for long-term method validation</strong></a>.</p><h3><strong>FAQs</strong></h3><div><div><h5><strong>1. How does batch-to-batch consistency in LC columns affect chromatographic results?</strong></h5><p>Batch-to-batch consistency has a direct impact on the stability of chromatographic results. When columns are manufactured consistently, retention times remain stable and compounds elute at predictable intervals — run after run and batch after batch.<br><br>This stability reduces unexpected shifts in selectivity or peak shape, helping analysts distinguish true method-related changes from column-related variability.</p></div><div><h5><strong>2. How do you measure batch-to-batch consistency in LC columns?</strong></h5><p>Batch-to-batch consistency is evaluated by applying the same standardized test method to columns produced across multiple manufacturing lots and by comparing key chromatographic performance metrics.<br><br>Commonly monitored parameters include RRT, which reflects retention stability and peak asymmetry, which indicates packing quality and peak integrity. By tracking these metrics over many batches and extended production periods, manufacturers can quantify variability and ensure controlled, reproducible column performance.</p></div><div><h5><strong>3. How does batch-to-batch LC column consistency support long-term method validation and transfer between laboratories?</strong></h5><p>Consistent LC column performance plays an important role in sustaining validated methods over time, particularly in regulated pharmaceutical environments.<br><br>When column behavior remains stable across production batches, methods are more likely to stay within established acceptance criteria, reducing the need for revalidation or investigation. This stability is especially valuable throughout the product lifecycle, from development through quality control and release testing.<br><br>Batch-to-batch consistency also facilitates smoother method transfer between laboratories and global sites. When different labs use columns that perform the same way, chromatographic results are more predictable, making transfers faster, more efficient, and less prone to variability-related delays.</p></div></div><blockquote><p><strong>Visit us on&nbsp;</strong><a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/showcase/72003132/admin/dashboard/"><strong><u>LinkedIn:</u></strong></a>&nbsp;#UHPLC #ColumnsAndConsumables #pharmaceutical</p></blockquote>

What Multi-Year Batch Data Reveals About (U)HPLC Column Consistency

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