<h4>Continuing the conversation on toxicology innovation</h4>In our ongoing toxicology blog series, we’ve explored sample preparation strategies, cutting-edge HRAM methods, innovative PaperSpray MS techniques, and productivity boosters for toxicology labs. Now, let’s take a deep dive into one of the most commonly requested yet technically challenging areas of forensic toxicology—accurate, efficient detection of THC and its metabolites.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_Behind_the_Bench_Tips_to_Simultaneously_Analyze_THC_Its_Metabolites_and_Other_Drugs_of_Abuse_Using_LC_MS_84c59fe1e6.jpg" alt="Thermo Fisher Scientific: Behind the Bench - Tips to Simultaneously Analyze THC, Its Metabolites, and Other Drugs of Abuse Using LC-MS" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_Behind_the_Bench_Tips_to_Simultaneously_Analyze_THC_Its_Metabolites_and_Other_Drugs_of_Abuse_Using_LC_MS_84c59fe1e6.jpg 245w," sizes="100vw" width="1024" height="512"><h3>The challenge: THC’s lipophilic nature and matrix effects</h3>Tetrahydrocannabinol (THC) remains one of the most frequently detected drugs in forensic testing after alcohol. Yet, its strong lipophilic properties make reliable measurement by LC-MS particularly challenging. THC and its metabolites tend to adhere to nonpolar surfaces of consumables and biological matrices, often leading to signal loss or inconsistent recovery.The latest Thermo Fisher Scientific smart note demonstrates how strategic sample handling and consumable selection can mitigate these challenges. By maintaining methanol (MeOH) in every step of the extraction process—from collection through elution—analysts can prevent THC adsorption and improve recovery. For example, increasing MeOH content during sample prep and using a 30% MeOH wash step helped boost signal strength dramatically.<h3>Extraction optimization: simple tweaks, big gains</h3>The study’s workflow employed DPX XTR tips with mixed-mode SCX/WAX chemistry, analyzed on the Thermo Scientific <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/744">Vanquish Horizon UHPLC system </a>and Thermo Scientific <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1149">Stellar mass spectrometer</a>. Four small but impactful changes—raising MeOH concentration, adjusting the SPE wash, switching to a biphenyl column, and altering the solvent reconstitution order—resulted in a sevenfold increase in THC signal intensity (Figure 1).<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_Behind_the_Bench_Tips_to_Simultaneously_Analyze_THC_Its_Metabolites_and_Other_Drugs_of_Abuse_Using_LC_MS_2_ae1c729642.jpg" alt="Thermo Fisher Scientific: Behind the Bench: Tips to Simultaneously Analyze THC, Its Metabolites, and Other Drugs of Abuse Using LC-MS: Figure 1. THC signal in extracted oral fluid sample before and after changes were made to increase signal by 7x." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_Behind_the_Bench_Tips_to_Simultaneously_Analyze_THC_Its_Metabolites_and_Other_Drugs_of_Abuse_Using_LC_MS_2_ae1c729642.jpg 245w," sizes="100vw" width="800" height="334">These incremental adjustments underscore how critical it is to balance organic composition and consumable materials for each matrix type. For oral fluid assays, using silanized glass vials and incorporating Quantisal™ collection buffers can also prevent degradation and significantly improve stability—up to 150× higher THC signal compared to common buffers (Figure 2).<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_Behind_the_Bench_Tips_to_Simultaneously_Analyze_THC_Its_Metabolites_and_Other_Drugs_of_Abuse_Using_LC_MS_3_7fc8699115.jpg" alt="Thermo Fisher Scientific: Behind the Bench: Tips to Simultaneously Analyze THC, Its Metabolites, and Other Drugs of Abuse Using LC-MS: Figure 2. Extracted ion chromatogram of THC using common oral fluid buffer compared to Quantisal extraction buffer." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_Behind_the_Bench_Tips_to_Simultaneously_Analyze_THC_Its_Metabolites_and_Other_Drugs_of_Abuse_Using_LC_MS_3_7fc8699115.jpg 245w," sizes="100vw" width="800" height="276"><h3>Ensuring stability and recovery</h3>Beyond extraction, analyte stability is another make-or-break factor. THC degrades quickly in standard plastic vials or at room temperature but can remain stable 6–12 months when stored at –20°C in sodium heparin tubes. The Smart Note also provides practical recovery assessments for extraction development, including dry down tests and sequential elution testing, to ensure that each analyte is retained through every stage of the workflow.By quantifying pre- and post-extraction spikes, analysts achieved high percent drug recovery and low LOQ’s across a 31-drug oral fluid panel, meeting or exceeding clinical cutoff requirements.<h3>Isomer separation: Δ⁸-THC vs. Δ⁹-THC</h3>With emerging cannabinoids on the market, separating Δ⁸-THC and Δ⁹-THC is increasingly important. The note highlights that <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products?category=346&amp;manufacturerItems=3&amp;search=pfp">Pentafluorophenyl (PFP) columns</a>—paired with a water/methanol mobile phase containing 0.1% formic acid—can efficiently resolve these isomers. Using a Vanquish Horizon UHPLC coupled to a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/403">Thermo Scientific™ Orbitrap Exploris™ 120 MS</a>, researchers achieved clear chromatographic separation (Figure 3).<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_Behind_the_Bench_Tips_to_Simultaneously_Analyze_THC_Its_Metabolites_and_Other_Drugs_of_Abuse_Using_LC_MS_4_cf9379f345.jpg" alt="Thermo Fisher Scientific: Behind the Bench: Tips to Simultaneously Analyze THC, Its Metabolites, and Other Drugs of Abuse Using LC-MS: Figure 3. Extracted ion chromatogram of Δ8-THC-COOH and Δ9-THC-COOH separation." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_Behind_the_Bench_Tips_to_Simultaneously_Analyze_THC_Its_Metabolites_and_Other_Drugs_of_Abuse_Using_LC_MS_4_cf9379f345.jpg 245w," sizes="100vw" width="800" height="328"><h3>The takeaway: Building a robust, reliable THC assay</h3>The bottom line? Including THC and its metabolites within a broader LC-MS drug panel is not only cost-effective but also critical to modern toxicology workflows. With deliberate choices in solvent composition, consumables, column chemistry, and buffer systems, laboratories can dramatically enhance recovery and detection reliability.These “behind the bench” optimizations, rooted in real-world forensic workflows, illustrate how small procedural changes can deliver big performance improvements.<h3>Continue your toxicology journey</h3>Stay tuned for the next post in our Analyte Guru series and learn more on our website: <a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/content/lifetech/global/en/home/industrial/forensics/forensic-toxicology.html">Forensic Toxicology</a>.<h3>Resources</h3><ul><li><a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/content/lifetech/global/en/home/industrial/forensics/forensic-toxicology/drug-screening-confirmation/workflows.html">Drug screening and confirmation workflows</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1149">Stellar Mass Spectrometer</a> &amp; <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/403">Orbitrap Exploris 120 MS</a> webpages</li><li>Promotions<ul><li><a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/content/lifetech/global/en/home/o/b/clinical-lcms-discounts.html">Save up to 40% on complete LC-MS toxicology configurations</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://www.thermofisher.com/content/lifetech/global/en/home/industrial/mass-spectrometry/mass-spectrometer-price-affordability-programs.html">Mass spectrometer affordability programs</a><ul><li>Refurbished MS</li><li>Trade-in</li><li>Financing/ leasing</li></ul></li></ul></li><li>Past blogs in this series<ul><li>Sample prep – <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/article/6189">Sample Preparation Strategies Demystified: Choosing the Right Fit for Your Toxicology Workflow</a></li><li>Tox Explorer – <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/article/6587">Beyond Blood: Sheffield Teaching Hospitals NHS Foundation Trust Develops HRAM-Powered Method for Post-Mortem Toxicology Analysis</a></li><li>VeriSpray – <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/article/6860">Advancing Drug Analysis with PaperSpray MS</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/article/6953">Boosting Productivity in Toxicology Labs</a></li></ul></li><li>On-demand workshop – <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinar/4735">Next-Generation Workflows for Small Molecule Quantitation Using the Thermo Scientific Stellar Mass Spectrometer</a></li><li>Featured content: <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/sn_004171_cl_lsms_stellar_thc_sn004171_na_en_62724465f8.pdf">Tips and tricks smartnote</a></li></ul><blockquote>Visit us on&nbsp;<a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/showcase/72003132/admin/dashboard/">LinkedIn:</a>&nbsp;#THC #LCMS #DrugsOfAbuse #DoA</blockquote>

Behind the Bench: Tips to Simultaneously Analyze THC, Its Metabolites, and Other Drugs of Abuse Using LC-MS

Quantifiable consistency. By tracking retention time consistency and peak symmetry across years of production, column performance becomes directly comparable.In chromatography, inconsistent separations are inconvenient and costly.Every unexpected shift in retention time or change in peak shape can trigger a cascade of troubleshooting, reruns, and uncertainty that slows laboratory productivity.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.In regulated industries, data integrity underpins every decision, from early development to final release testing, so consistent column performance is a necessity.<h3>Key takeaways</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>Defining and measuring batch-to-batch (U)HPLC column consistency</h3>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">solid-phase particles</a> 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">separate compounds by chemical structure</a>.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.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"> Thermo Scientific Hypersil GOLD columns</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"> these columns </a>perform consistently across years of production. The answer: our results found sustained performance over time.Across roughly 17,500 columns tested over three years, researchers focused on two major indicators of a manufacturer’s column performance:<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>In a recent 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">Evaluation of batch-to-batch consistency of reversed-phase HPLC columns for long-term method validation</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.Despite differences in column geometry and media batches, the method produced highly consistent chromatographic performance.The method also achieved RRT relative standard deviation variation of no more than 2.11% for the compounds and kept peak asymmetry within a narrow range of 0.92 to 1.09. This level of control reduces uncertainty from long-term method validation, reinforcing confidence in predictable, reproducible column performance.<h3>Why column stability over time matters</h3>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">method validation</a> 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.When your column behaves the same every time, you will see several downstream benefits, such as:1. Improved confidence in data interpretationYou don’t have to keep wondering whether differences in your data are coming from your chemistry or your column.2. Methods stay valid longerPharmaceutical 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.3. Method transfer is more reliableLarge companies operate across multiple global sites. When everyone uses columns that behave consistently, transferring methods becomes seamless rather than a months-long headache.A closer look at column performance dataThe published technical note visualizes column performance using clean, simple charts (Figure 1).<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">These graphs show us:<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>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.<h3>Why column consistency matters for long-term method performance</h3>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.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.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">Evaluation of batch-to-batch consistency of reversed phase HPLC columns for long-term method validation</a>.<h3>FAQs</h3><div><div><h5>1. How does batch-to-batch consistency in LC columns affect chromatographic results?</h5>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. This stability reduces unexpected shifts in selectivity or peak shape, helping analysts distinguish true method-related changes from column-related variability.</div><div><h5>2. How do you measure batch-to-batch consistency in LC columns?</h5>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. 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.</div><div><h5>3. How does batch-to-batch LC column consistency support long-term method validation and transfer between laboratories?</h5>Consistent LC column performance plays an important role in sustaining validated methods over time, particularly in regulated pharmaceutical environments. 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. 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.</div></div><blockquote>Visit us on&nbsp;<a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/showcase/72003132/admin/dashboard/">LinkedIn:</a>&nbsp;#UHPLC #ColumnsAndConsumables #pharmaceutical</blockquote>

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

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