<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

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezLCMS Library in the week of 14th September 2026? 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 </strong>and <strong>Waters Corporation </strong>and posters by <strong>Shimadzu / AOAC </strong>and<strong> Thermo Fisher Scientific / Metabolomics!</strong></p><h3><strong>1. Agilent Technologies: Improved Analysis of Intact Proteins and Peptides by Reversed Phase HPLC Using the Altura Ultra Inert PLRP-S 1000 Å Column</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_altura_ultrainert_column_HPLC_analysis_5994_9322en_agilent_2b3a542647.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Intact protein analysis by reversed-phase HPLC (RP-LC) plays a vital role in quality control for determining the purity of biotherapeutic proteins and improving the identification and quantification of critical quality attributes (CQAs). When coupled to mass spectrometric detection, it allows several things. First, an accurate molecular weight to be determined; second, the identification of variants containing post‑translational modifications (PTMs) and proteoforms; and third, the antibody-to-drug ratio in the case of antibody drug conjugates (ADCs).<sup>1</sup>&nbsp;</p><p>While many RP columns have a silica-based stationary phase to enable broader functionalization, residual acidic silanol groups can interact with basic residues in peptides, proteins, and other biomolecules, resulting in significant peak tailing and loss of chromatographic performance. Polystyrene/divinyl benzene (PS/DVB)-based stationary phases do not contain unintentional adsorption sites. Additionally, larger pore sizes have demonstrated superior chromatographic efficiency through less diffusion restriction into the pore volume and reduction of size exclusion mechanisms, degrading the RP-based selectivity.<sup>2</sup>&nbsp;</p><p>Wide-pore columns like the PLRP-S 1000Å provide an exceptional performance with biomolecules, particularly when combined with MS-compatible mobile phase conditions such as formic acid.&nbsp;</p><p>Even so, some undesirable interactions may be observed when using stainless-steel column hardware. Molecules that possess multiple negative charges (including oligonucleotides, phosphorylated peptides and proteins, and proteins with low isoelectric point in general) may interact with exposed metal ions in stainless-steel column hardware. This can result in the need to "deactivate" new columns by making multiple injections of sample until reproducible results are obtained.&nbsp;</p><p>This application note demonstrates how the new <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/lcms/library?mainauthorItems=10&amp;search=Altura+Ultra+Inert"><strong>Altura Ultra Inert </strong></a>PLRP-S 1000 Å column serves as an effective high-performance workhorse in the analysis of large, intact biomolecules. Developed to effectively block nonspecific adsorption during separations, Ultra Inert technology reduced passivation time 15-fold and delivered ~ 10% greater recovery for mAbs and ADCs and up to 100% for smaller biomolecules like GLP-1s and small globular proteins.</p><h4><strong>Experimental</strong></h4><h5><strong>Instrumentation&nbsp;</strong></h5><ul><li>Agilent 1290 Multicolumn thermostat (G7116B)&nbsp;</li><li>Agilent 1290 Bio multisampler (G7137A)&nbsp;</li><li>Agilent 1290 Bio high-speed pump (G7132A)&nbsp;</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/lcms/library?mainauthorItems=10&amp;search=6530"><strong>Agilent 6530 Q-TOF MS system</strong></a>&nbsp;</li></ul><h5><strong>Software and data processing&nbsp;</strong></h5><ul><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/lcms/library?mainauthorItems=10&amp;search=MassHunter+Workstation"><strong>Agilent MassHunter Workstation, version 10.1&nbsp;</strong></a></li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/lcms/library?mainauthorItems=10&amp;search=MassHunter+Qualitative+Analysis"><strong>Agilent MassHunter Qualitative Analysis software, version&nbsp;B.07&nbsp;</strong></a></li><li>Agilent DAR calculator, version B01.01</li></ul><h4><strong>Conclusion&nbsp;</strong></h4><p>Intact mass analysis is a critical methodology to determine the purity of biotherapeutics, but due to the chemical complexity of these analytes, nonspecific adsorption from both silica stationary phase and metal column housing can be highly deleterious to separation performance. The Agilent Altura PLRP-S 1000 Å provides a highly robust solution combining the chemical inertness of polystyrene/divinyl benzene stationary phase with the ultra‑inert Altura hardware to dramatically reduce deleterious peak tailing and increase recovery for biotherapeutics. Herein, we see that analyte recovery for both mAbs, ADCs, GLP-1s, and globular proteins are improved versus stainless-steel, while the Altura PLRP-S column is capable of monitoring both quality critical PTMs such as loss of drug payload as well as accurate quantification of ADC DAR.</p><h3><strong>2. Shimadzu / AOAC: Ambient Ionization Mass Spectrometric Detection of Aroma Released During Gummy Chewing</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/aoac_2026_47_2_34c41f762f.pdf"><strong>Full PDF for download</strong></a></li></ul><p>In recent years, there has been growing interest in evaluating flavor using analytical instrumentation, and retronasal aroma during eating is important. In this study, we proposed an analytical method for measuring retronasal aroma during eating using a single quadrupole mass spectrometer (<a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/lcms/library?mainauthorItems=1&amp;search=2050"><strong>LCMS-2050</strong></a>) equipped with an ambient ion source (Dark Current Discharge Ionization : DCDI) without pretreatment.</p><h4><strong>Conclusion</strong></h4><p>We developed a simple method for evaluating retronasal aroma using a single quadrupole mass spectrometer with an ambient ionization source. Ambient ionization mass spectrometry (DCDI LCMS-2050) can rapidly measure retronasal aroma during eating. Time-resolved visualization reveals texture-dependent differences in aroma release dynamics among grape-flavored gummies. It is also expected to lead to the visualization of the marriage between food and alcohol. This approach may facilitate objective evaluation of flavor release during consumption and support product formulation and sensory science.</p><h3><strong>3. Thermo Fisher Scientific / Metabolomics: Orbitrap Tribrid Real-Time similarity searching of mzCloud library for guided unknown characterization of tea metabolites</strong></h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/po_004849_lsms_rtls_tribrid_apex_small_molecule_metabolomics_po004849_na_en_d0d3156065.pdf"><strong>Full PDF for download</strong></a></li></ul><p>In metabolomics LC-MS data is processed to generate a list of detected compounds with a level of confidence in the identity of each compound based on reference data. This reference data may be spectral data and/or retention time information stored in a library or in silico information generated based on fragmentation rules. These annotated compounds are then used to evaluate biological changes between normal and disease states. One of the major hurdles between collected data and coming to reliable conclusions about the biology is the limited number of standards available to build these libraries. It is common to have hundreds to thousands of compounds detected in a data set that have no library match because there is no commercial standard for that unknown. Instead, there is just an elemental formula and matches from a structure database. These structures can be compared using in silico fragmentation techniques to determine which isomers plausibly match the data. MSn data can help reduce the list of possible matches, but without guidance, ddMS3 may not consistently collect data on the most relevant MS2 fragments to accomplish this.&nbsp;</p><p>In this work we use Real-Time Library Search (RTLS) in a ddMS3 method to help guide the instrument in real time to collect the most relevant data for confirming structural matches.</p><h4><strong>Materials and methods</strong></h4><h5><strong>Test method(s)&nbsp;</strong></h5><p>1 μL aliquots were analyzed using a <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/lcms/products?category=48&amp;manufacturerItems=3&amp;search=gold"><strong>Thermo Scientific Hypersil GOLD column</strong></a> on a <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/744"><strong>Thermo Scientific Vanquish Horizon UHPLC</strong></a><strong> </strong>coupled with a <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/561"><strong>Thermo Scientific Orbitrap IQ-X Tribrid mass spectrometer</strong></a> and <strong>Thermo Scientific Orbitrap Tribrid Apex Small Molecule mass spectrometer</strong>. RTLS was run in similarity mode using the offline version of <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/1764"><strong>Thermo Scientific mzCloud library</strong></a>.&nbsp;</p><h5><strong>Data analysis&nbsp;</strong></h5><p>Data was processed using <strong>Thermo Scientific Freestyle and </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/1759"><strong>Compound Discoverer software</strong></a><strong>.</strong></p><h4><strong>Conclusions&nbsp;</strong></h4><p>Tea extracts were analyzed using RTLS to find the most similar compound in the offline version of the mzCloud library and trigger MS3 on the highest m/z matching and non-matching fragments. This provided additional information to confirm similarity and provide insight on shared sub-structures to the library compound as well as additional information on the portions of the structure that were unique to the experimental compound.</p><h3><strong>4. Waters Corporation: The Quantification of Glucagon-like Peptide Receptor Agonists (GLP-1 RAs) in Plasma Extracts Using Capillary UHPLC-MS/MS</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/720009537_en_0068921516.pdf"><strong>Full PDF for download</strong></a></li></ul><div><div><section><div><div><div><div><div><div><h5><strong>Benefits&nbsp;</strong></h5><ul><li>10-fold improvement in sensitivity&nbsp;</li><li>Robust methodology for &gt;500 injections&nbsp;</li><li>Reduced solvent usage&nbsp;</li><li>No need for complex nanospray MS source</li></ul><p>Obesity represents, perhaps, the largest healthcare challenge, affecting approximately 1.3 billion people globally, contributing to a diverse range of chronic diseases e.g., metabolic, cardiovascular, muscular skeletal, and multiple cancers.1 The rapid growth of obesity and associated global healthcare costs means there is a critical need for safe effective treatments.2 GLP-1 RA initially developed for type 2 diabetes have shown clinical efficacy as weight loss medicines.2 These drugs mimic the action of gut hormones which regulate energy metabolism and appetite by interacting with the hypothalamus, brain stem etc., resulting in weight loss. The success of these GLP-1 RAs is associated with their on-target efficacy and long duration of action,3 e.g., half-life of semaglutide t½ = 160–180 hours3 cf. 1–2 minutes for human GLP-1.4 The long half-life of these GLP-1 RAs results in low, sub ng/mL plasma levels 48–72 hours after dosing, which requires a high sensitivity bioanalytical assay to accurately quantify the plasma concentrations5 and define the PK elimination phase.&nbsp;</p><p>Tandem quadrupole electrospray ionization (ESI) mass spectrometry, operated in multiple reaction monitoring (MRM) mode, coupled with 2.1 mm ID ultra-high performance liquid chromatography (UHPLC) is the dominant technology platform for quantitative bioanalysis. As next generation GIP/GLP-1 RAs promise to be more potent, resulting in lower dosing levels and plasma levels, there is a need for more sensitive analytical methodologies to support drug metabolism and pharmacokinetics (DMPK) studies. Capillary/nano LC-MS/MS have been extensively employed in proteomics to increase analytical sensitivity and enable small volume analysis.5 This sensitivity increase is derived from a combination of the superior ionization efficiency at low flow rates and analyte concentration due to the smaller column geometry.6 This application note illustrates the use of capillary (300 µm) UHPLC-MS/MS (MRM) to affect 10-fold improvement in GLP-1-RAs peak response in human plasma extracts, and detection limits as low as 20 pg/mL for tirzepatide.</p><h4><strong>Experimental</strong></h4><p>Capillary chromatography was performed on an <strong>ACQUITY™ M-class Chromatography System</strong> connected to a <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/195"><strong>Xevo™ TQ-XS Mass Spectrometer</strong></a> (Waters Corporation, Wilmslow, UK) equipped with a microflow probe. Capillary UHPLC separations were performed on an <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/1952"><strong>ACQUITY Premier Peptide CSH C18</strong></a>, 300 Å, 1.7 µm, 300 µm x 50 mm Chromatography Column.</p><p>MS analysis was performed at unit mass resolution using positive ESI at a capillary voltage of 3.0 kV, with a cone voltage of 32 V. The cone gas flow, desolvation gas flow, and desolvation gas temperature were 50 L/h, 300 L/h and 600 °C, respectively. The data were analyzed using <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/1544"><strong>waters_connect™ Software</strong></a><strong>,</strong> and MRM transitions used to monitored for the MS/MS detection of liraglutide, exenatide, semaglutide and tirzepatide were as follows: liraglutide 938.7 → 1128.4, exenatide 838 → 396, semaglutide 1029.2 → 1238.1, and tirzepatide 1204.2 → 396.2. Data analysis was performed using <strong>MS Quan Software.</strong></p><h4><strong>Conclusion</strong></h4><p>Bioanalysis plays a critical role in the drug discovery and development processes providing data to support DMPK, safety assessment, pharmacokinetics/pharmacodynamics (PK/PD), and clinical development studies. The development of new, more potent medicines, innovating delivery platforms, micro sampling, and new approach methodologies (e.g., organ on a chip) all require greater levels of analytical sensitivity. Capillary scale UHPLCMS/MS offers the potential to improve bioanalytical detection limits up to 10-fold, without the need for long analysis times and complex operation associated with nano spray LC-MS/MS. Here, the application of capillary (300 µm ID) scale chromatography for the detection of GLP-1 RAs in human plasma extracts at levels as low as 20 pg/mL with robustness over 500 injections was demonstrated.</p></div></div></div></div></div></div></section></div></div>

News from LabRulezLCMS Library - Week 38, 2026

Article

Product

Events

Webinars

Application

Academy

Video

Poster

Scientists

Plastics

Environment

Food

Water

Health

Presentation

Scientific article

Interview

Toxicology

Popularization

Science and research

Software

Covid-19

Career

Laboratories

Various

PFAS 

Zaměření

Type of News

Focus

A unique company dedicated to serving science helping our customers drive productivity and accelerate results. Through our premier brands – Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific and Unity Lab Services.

Thermo Fisher Scientific

Everything from the world of analytical chemistry in one place. We connect people in solving their problems. At Labrulez you will find all the necessary information easily, quickly and clearly. Stop searching and start finding.

LabRulez

Thermo Fisher Scientific Mass Spectrometry Users’ Meetings 2026

LECO Training Course GDS900/950 & CDP

Thermo Fisher Scientific Analytical solutions forum

Validated Method for PFAS Testing in Food, Including Meats

Confidence in PFAS Data: Smarter Sample Prep, Contamination Control, Highly Sensitive and Robust MS

From sample to result: advanced sample prep strategies for food and environmental matrices