This workflow confirms and quantifies 31 drugs of abuse in oral fluid (including THC) in a 4.5‑minute LC run on the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1149">Thermo Scientific Stellar mass spectrometer</a> using full scan + targeted MS2 (tMS2) with both HCD and CID fragmentation. With 1 µL injection and 0.1% formic acid in water/methanol mobile phases, the method supports ~13 samples/hour (up to ~320/day continuous operation) while maintaining confirmation performance via ion ratios.<blockquote><h5>Method at a glance</h5><ul><li>What matrix is tested? Oral fluid</li><li>How many drugs? 31 drugs of abuse (panel includes THC)</li><li>Run time? 4.5 minutes</li><li>Throughput? ~13 samples/hour → up to ~320 samples/day (24‑hour operation)</li><li>Injection volume? 1 µL</li><li>Mobile phases? 0.1% formic acid in water (A) and 0.1% formic acid in methanol (B)</li><li>MS acquisition? Full scan + targeted MS2 (tMS2)</li><li>Fragmentation? Compound‑optimized HCD and CID in the same targeted list</li><li>Confirmation strategy? Ion ratios with ±20% tolerance (typical confirmatory approach)</li></ul></blockquote><h3>Why oral fluid—and why speed matters</h3>Oral fluid is attractive for clinical and forensic toxicology because collection is simple and the matrix aligns well with high‑volume workflows (workplace/occupational, roadside, and other settings). The challenge is building a method that’s simultaneously:<ul><li>Broad enough for today’s drug panels</li><li>Sensitive enough to reach required cutoffs</li><li>Fast enough to keep sample queues under control</li><li>Confirmation‑ready (consistent product ions and ion ratios)</li></ul>A 4.5‑minute method is a practical lever here: compress runtime, raise throughput, and still keep confirmation quality by optimizing MS/MS conditions per compound.<h3>The LC method</h3>A short, efficient separation is the foundation of the workflow:<ul><li>UHPLC system: <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/744">Thermo Scientific Vanquish Horizon UHPLC</a></li><li>Column: <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/424">Thermo Scientific Accucore Biphenyl</a>, 50 × 2.1 mm, 2.6 µm</li><li>Mobile phase A: 0.1% formic acid in water</li><li>Mobile phase B: 0.1% formic acid in methanol</li><li>Injection volume: 1 µL</li><li>Gradient runtime: 4.5 minutes</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_4_5_Minute_Oral_Fluid_LC_MS_Method_to_Detect_31_Drugs_of_Abuse_Using_Stellar_MS_fd3f3e8ea4.jpg" alt="Thermo Fisher Scientific: 4.5-Minute Oral Fluid LC MS Method to Detect 31 Drugs of Abuse Using Stellar MS: Figure 1: Thermo Scientific Vanquish Horizon UHPLC system." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_4_5_Minute_Oral_Fluid_LC_MS_Method_to_Detect_31_Drugs_of_Abuse_Using_Stellar_MS_fd3f3e8ea4.jpg 120w," sizes="100vw" width="747" height="969"><h3>The MS method (Full scan + targeted MS2 with HCD + CID)</h3><h5>Acquisition approach</h5>This method uses a “two‑layer” strategy for quantitation + confirmation:<ol><li>Full scan (broad coverage, context, quantitative support)</li><li>Targeted MS2 (tMS2) (confirmation‑focused product ions, ion ratios)</li></ol><h5>The key differentiator: HCD and CID in one targeted list</h5>Instead of forcing every analyte into a single fragmentation style, the method uses both:<ul><li>HCD (beam‑type fragmentation)</li><li>CID (resonance‑type fragmentation)</li></ul><h5>Why that improves method development:</h5>Drugs of abuse span multiple chemistries. A single collision approach often works “okay” for most compounds—but one or two analytes can become persistent problems (weak qualifiers, unstable ion ratios, excess noise). Having both HCD and CID available in one method lets you optimize per compound and move faster.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_4_5_Minute_Oral_Fluid_LC_MS_Method_to_Detect_31_Drugs_of_Abuse_Using_Stellar_MS_3_e4a95651a2.jpg" alt="Thermo Fisher Scientific: 4.5-Minute Oral Fluid LC MS Method to Detect 31 Drugs of Abuse Using Stellar MS: Figure 2: Thermo Scientific Stellar mass spectrometer." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_4_5_Minute_Oral_Fluid_LC_MS_Method_to_Detect_31_Drugs_of_Abuse_Using_Stellar_MS_3_e4a95651a2.jpg 245w," sizes="100vw" width="645" height="377"><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_4_5_Minute_Oral_Fluid_LC_MS_Method_to_Detect_31_Drugs_of_Abuse_Using_Stellar_MS_5_88276eec6a.jpg" alt="Thermo Fisher Scientific: 4.5-Minute Oral Fluid LC MS Method to Detect 31 Drugs of Abuse Using Stellar MS: Figure 3: Full scan &amp; targeted MS2 methods, HCD and collision energies used." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_4_5_Minute_Oral_Fluid_LC_MS_Method_to_Detect_31_Drugs_of_Abuse_Using_Stellar_MS_5_88276eec6a.jpg 245w," sizes="100vw" width="768" height="279"><h3>Why CID + HCD flexibility improves confirmation</h3>In this workflow, HCD performed well for most compounds. But for buprenorphine, HCD produced one dominant product ion with additional low m/z noise and noticeable residual precursor. Using CID generated two high‑intensity product ions and delivered consistent ion ratios across the calibration range.When your confirmation hinges on stable ion ratios, the ability to switch fragmentation mode (not just collision energy) is a method‑development advantage—especially for “problem analytes.”<h3>Controllable ionization</h3>Oral fluid methods often deal with limited sample volume and matrix effects. This workflow pairs low injection volume with ionization control using the Thermo Scientific OptaMax Plus HESI source.<ul><li>The OptaMax Plus HESI source supports high probe temperature capability (up to 650 °C).</li><li>In this study, a vaporizer temperature of 500 °C was used to help achieve sensitivity and improve relative peak areas across drugs of abuse.</li></ul>Why this matters: If you’re injecting only 1 µL, ionization stability and efficiency can be the difference between “meets cutoff” and “misses at LOQ.”<h3>Sample preparation</h3>Oral fluid panels become more challenging when THC is included because most drugs of abuse are basic, while THC is largely neutral, and that can stress extraction chemistry.In this workflow, oral fluid calibrators and samples were extracted using a mixed‑mode approach designed to recover THC alongside other drugs:<ul><li>Calibrators prepared across eight levels (broad dynamic range)</li><li>Extraction performed using mixed‑mode chemistry tips (SCX/WAX) in a dispersive SPE‑style workflow</li><li>Steps automated on a liquid handling platform to support high‑throughput consistency</li><li>Samples dried and reconstituted prior to LC‑MS analysis</li><li>Only 1 µL injected per run</li></ul>Even if your lab uses different automation or consumables, the method structure (fast LC + full scan + targeted MS2 with dual fragmentation) transfers well.<blockquote><h5>Throughput math</h5><ul><li>4.5 minutes per injection → 60 / 4.5 = 13.3 injections/hour</li><li>That’s ~13 samples/hour in typical phrasing</li><li>Over 24 hours: 13.3 × 24 = ~320 samples/day (continuous operation)</li></ul>If you run a single shift, just scale accordingly (e.g., ~106/day for an 8‑hour shift, excluding QC and overhead).</blockquote><h3>Performance summary</h3><h5>Sensitivity and linearity</h5><ul><li>Linearity from LOQs as low as 0.25 ng/mL up to 1,000 ng/mL (panel-dependent)</li><li>For THC specifically: LOQ at 1 ng/mL, with a dynamic range extending to 1,000 ng/mL in this evaluation</li><li>Across the panel, LOQs were reported as lower than recommended confirmation cutoffs referenced in SAMHSA guidance and NSC Tier 1 cutoffs (study-specific outcome)</li></ul><h5>Confirmation via ion ratios</h5><ul><li>Ion ratios evaluated using ±20% tolerance (typical confirmatory acceptance framework)</li><li>The workflow produced consistent ion ratios across calibrator levels for the full panel in this evaluation</li></ul><h5>Case sample comparison (real-world relevance)</h5>When compared against a validated triple quadrupole method for case study samples, the Stellar MS workflow:<ul><li>Confirmed the positive hits observed by the reference method</li><li>Reported a few additional positives for select analytes, attributed to lower LOQs</li><li>Highlighted an operational efficiency point: 1 µL injection in this method versus 20 µL injection in the compared method</li></ul><h3>FAQ</h3><div><div><ol><li>How long does the LC‑MS run take for the 31‑drug oral fluid panel? 4.5 minutes per injection using a short UHPLC gradient. &nbsp;</li><li>How many drugs of abuse can Stellar MS detect in this workflow? 31 drugs of abuse, including THC, using full scan + targeted MS2. &nbsp;</li><li>What MS/MS approach is used? A combined strategy: full scan plus targeted MS2 (tMS2) for confirmation. &nbsp;</li><li>Why use both HCD and CID? Because some analytes fragment better—and produce more stable confirmation ions/ion ratios—under one mode versus the other. Using both increases flexibility and speeds method optimization. &nbsp;</li><li>What injection volume is used? 1 µL of extracted sample. &nbsp;</li><li>What mobile phases are used? 0.1% formic acid in water (A) and 0.1% formic acid in methanol (B). &nbsp;</li><li>How many samples can you run per day? At 4.5 minutes/injection, throughput is ~13 samples/hour or up to ~320/day with continuous operation (actual throughput depends on QC and scheduling).</li></ol></div></div><h3>What makes this workflow “easy” to develop on Stellar MS</h3>Here’s the short list of features that directly reduce method‑development friction:<ul><li>HCD or CID in one method → optimize per compound, not compromise</li><li>Fast MS2 acquisition speeds (up to 140 Hz for MS2) → more data points across narrow peaks</li><li>Fast polarity switching (true 5 ms) → supports mixed panels efficiently</li><li>Adaptive RT (real‑time retention time window adjustment) → helps reduce reinjections when retention times drift (e.g., column aging) and supports method transfer from longer to shorter gradients</li><li>OptaMax Plus HESI source control → supports sensitivity at low injection volumes</li></ul>If you’re building a fast oral fluid confirmation workflow—or updating an existing DOA panel—this 4.5‑minute method shows how Stellar MS can combine speed, confirmation-ready MS2, and fragmentation flexibility (HCD + CID) in a single targeted workflow. Reach out to learn how to adapt the targeted list, collision settings, and scheduling strategy to your lab’s cutoffs and throughput goals.<blockquote>Visit us on&nbsp;<a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/showcase/72003132/admin/dashboard/">LinkedIn:</a>&nbsp;#MassSpectrometry #OralFluid #DrugsOfAbuse #MethodDevelopment #HighThroughput</blockquote>

4.5-Minute Oral Fluid LC MS Method to Detect 31 Drugs of Abuse Using Stellar MS

In our <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/article/7741">previous article, we introduced the main types of detectors used in HPLC</a>. This time, we take a closer look at the performance characteristics of LC detectors and the specifications that should be considered when assessing whether a detector is suitable for a particular chromatographic separation. We will also compare the most common detector technologies and provide some practical guidance for choosing the right option for a specific application.<h3>What Defines an Ideal HPLC Detector?</h3>With such a wide variety of HPLC detectors available, an obvious question arises: why is there no single detector that works for every application? The simple answer is that no detector can satisfy every analytical requirement at the same time. Nevertheless, most detector designs aim to achieve a similar set of desirable properties.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/KNAUER_Figure_1_Detector_requirements_334605c913.webp" alt="KNAUER: Figure 1 - Detector requirements" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_KNAUER_Figure_1_Detector_requirements_334605c913.webp 245w," sizes="100vw" width="1024" height="384"><h4>1. High Sensitivity – Detecting Very Small Amounts</h4>An ideal detector should be capable of measuring very low quantities of analyte, often in the nanogram or even picogram range. High sensitivity leads to lower limits of detection (LOD), can reduce sample preparation requirements, and is particularly valuable for applications such as impurity analysis or pharmacokinetic studies.Some detector technologies, including fluorescence detection (FLD), electrochemical detection (ECD), and mass spectrometry (MS), can achieve extremely high sensitivity. However, this level of performance is often limited to specific classes of compounds.<h4>2. Good Selectivity or Broad Applicability – Knowing What Is Being Detected</h4>Selectivity describes how effectively a detector responds to the target analyte while minimizing interference from the sample matrix or mobile phase.Depending on the analytical task, a detector may need to be highly selective, responding only to compounds with specific characteristics such as fluorescence or electrochemical activity. In other cases, broader applicability may be more important, allowing a wide range of compounds to be detected regardless of their molecular structure.<h4>3. Linear Response and Broad Dynamic Range – Reliable Quantification</h4>A good detector should provide a linear response across a sufficiently wide concentration range. This makes it possible to accurately quantify both major components and trace impurities within the same analytical method.A broad linear range simplifies calibration and improves confidence in quantitative results. Detector response should also remain highly reproducible from one injection to another.<h4>4. Compatibility with HPLC Conditions – Fitting the Chromatographic Method</h4>An ideal detector should be compatible with both gradient and isocratic elution, commonly used mobile phases and additives, typical flow rates, and standard HPLC operating temperatures.Poor compatibility may restrict method flexibility or force compromises in chromatographic performance. Some detectors provide excellent analytical performance but only under specific operating conditions, making them less suitable for certain methods.<h4>5. Stability and Low Noise – Distinguishing Signal from Background</h4>A stable baseline with minimal noise and drift improves the signal-to-noise ratio and overall data quality. This becomes especially important in long chromatographic runs, gradient methods, and trace-level analysis.Lower baseline noise makes weak analyte signals easier to distinguish and directly contributes to improved detection limits.<h4>6. Robustness, Ease of Use, and Maintenance – Supporting Routine Laboratory Work</h4>For day-to-day use, a detector should be reliable over long sequences, straightforward to operate, and require as little maintenance as possible.In routine laboratories, robustness and ease of operation can be just as important as analytical performance. Simple troubleshooting, low maintenance requirements, and limited consumable costs are major advantages, particularly in high-throughput environments.<h3>The Reality: No Detector Offers Everything</h3>Since no detector fulfils all these requirements perfectly, detector selection is inevitably a compromise between sensitivity, selectivity, universality, robustness, operating flexibility, and cost.For this reason, multi-detector configurations are increasingly common in modern HPLC systems. Combinations such as UV + CAD or UV + MS make it possible to benefit from complementary detection principles within a single analytical workflow.<figure class="table"><table><thead><tr><th>Detector</th><th>Principle</th><th>Sensitivity</th><th>Selectivity</th><th>Gradient Compatible</th><th>Typical Applications</th></tr></thead><tbody><tr><td>UV/VIS</td><td>Absorption of light at selected wavelengths</td><td>ng – µg</td><td>Medium</td><td>Yes</td><td>Pharmaceuticals, drugs, metabolites</td></tr><tr><td>Refractive Index (RID)</td><td>Change in refractive index of the mobile phase</td><td>µg – mg</td><td>Non-specific</td><td>No</td><td>Sugars, alcohols, polymers</td></tr><tr><td>Fluorescence (FLD)</td><td>Excitation followed by light emission</td><td>pg – ng</td><td>High</td><td>Yes</td><td>Trace drugs, vitamins, fluorescent compounds</td></tr><tr><td>Conductivity Detector (CDD)</td><td>Measurement of changes in electrical conductivity</td><td>µg – mg</td><td>Ionic species</td><td>Limited</td><td>Inorganic ions, salts, electrolytes</td></tr><tr><td>pH Detector</td><td>Measurement of changes in proton concentration</td><td>µg – mg</td><td>pH-sensitive compounds</td><td>Yes</td><td>Organic acids/bases, pH monitoring</td></tr><tr><td>Mass Spectrometry (MS)</td><td>Ionization followed by mass-to-charge separation and detection</td><td>fg – ng</td><td>Very high</td><td>Yes</td><td>Proteomics, metabolomics, drugs, trace impurities, structural identification</td></tr><tr><td>Electrochemical Detector (ECD)</td><td>Oxidation or reduction at an electrode</td><td>pg – ng</td><td>Redox-active compounds</td><td>Limited</td><td>Neurotransmitters, antioxidants, drugs</td></tr><tr><td>Evaporative Light Scattering (ELSD)</td><td>Detection of dried analyte particles by light scattering</td><td>ng – µg</td><td>Non-volatile compounds</td><td>Yes</td><td>Sugars, lipids, polymers, non-UV analytes</td></tr><tr><td>Charged Aerosol Detector (CAD)</td><td>Detection of charged analyte particles</td><td>ng – µg</td><td>Non-volatile compounds</td><td>Yes</td><td>Sugars, lipids, peptides, polymers</td></tr><tr><td>Multi-Angle Light Scattering (MALS)</td><td>Measurement of scattered light at multiple angles</td><td>µg – mg</td><td>Molecular size/weight</td><td>Yes</td><td>Proteins, polymers, nanoparticles</td></tr><tr><td>Viscosity Detector</td><td>Measurement of pressure changes caused by solution viscosity</td><td>µg – mg</td><td>Polymers, biopolymers</td><td>Yes</td><td>Molecular size, branching, aggregation</td></tr><tr><td>Radioactivity Detector</td><td>Detection of radioactive decay from labelled analytes</td><td>pg – ng</td><td>Radioactive isotopes only</td><td>Yes</td><td>Radiopharmaceuticals, tracers, metabolism studies</td></tr><tr><td>Chiral Detector</td><td>Optical rotation or circular dichroism for distinguishing enantiomers</td><td>ng – µg</td><td>Enantiomeric selectivity</td><td>Yes</td><td>Pharmaceuticals, natural products, asymmetric synthesis</td></tr></tbody></table></figure>Table 1: Comparison of commonly used HPLC detector classes. (Graphic by KNAUER)<h3>Critical Performance Parameters of HPLC Detectors</h3><h4>Data Sampling Rate</h4><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/KNAUER_Figure_2_Example_for_too_less_and_too_high_data_sampling_rate_741a53edc6.webp" alt="KNAUER: Figure 2 - Example for too less and too high data sampling rate." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_KNAUER_Figure_2_Example_for_too_less_and_too_high_data_sampling_rate_741a53edc6.webp 245w," sizes="100vw" width="1024" height="410">The data acquisition rate, also known as the sampling rate, is one of the most important detector settings in HPLC. It describes how many data points are recorded per second and directly influences peak representation, peak shape, area precision, and baseline noise.The higher the sampling rate, the more data points are collected. The detector processes the measurements collected over a defined time interval and averages them, and these averaged points are then used to construct the chromatogram.At a data rate of 5 Hz, for example, five data points are acquired every second. If too few points are collected across a chromatographic peak, the resulting peak can appear jagged, poorly defined, and analytically unreliable, as illustrated on the left side of Figure 2.At the other extreme, a setting such as 100 Hz records 100 points each second, which is often unnecessarily high for conventional HPLC. The optimum sampling rate mainly depends on chromatographic peak width.For most standard HPLC applications, a data rate of approximately 10 to 20 Hz is sufficient to generate a smooth and symmetrical Gaussian peak.One consequence of using an excessively high acquisition rate is increased baseline noise. Statistically, the noise of the system depends on the number of data points used for averaging and decreases with the square root of the number of averaged measurements.Selecting an appropriate sampling rate is therefore a balance between collecting enough points to describe the chromatographic peak accurately and avoiding unnecessary noise.<h4>Noise and Drift</h4><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/KNAUER_Figure_3_Baseline_noise_and_drift_685652e641.webp" alt="KNAUER: Figure 3 - Baseline noise and drift" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_KNAUER_Figure_3_Baseline_noise_and_drift_685652e641.webp 245w," sizes="100vw" width="1024" height="400">What exactly is baseline noise? In simple terms, it represents the short-term fluctuations of the detector baseline over a defined period and is expressed in the units appropriate for the particular detector.Baseline noise is typically determined from the peak-to-peak variation of the detector signal while the mobile phase passes through the system.All HPLC detectors exhibit a certain level of noise. Potential sources include:<ul><li>electronic noise,</li><li>detector cell noise,</li><li>detector instability,</li><li>temperature fluctuations,</li><li>mobile-phase effects,</li><li>and other environmental or instrumental influences.</li></ul>Noise directly affects detector sensitivity because it determines the signal-to-noise ratio (S/N).A chromatographic peak is generally considered reliably detectable when its height is at least three times greater than the calculated baseline noise. This relationship is commonly used to define the limit of detection (LOD).The limit of quantification (LOQ) requires a stronger signal and is typically defined as approximately ten times the baseline noise.Another important parameter affecting sensitivity is baseline drift. Drift reflects the gradual change in detector response over time and therefore provides useful information about long-term detector stability.It is helpful to distinguish between short-term peak-to-peak noise and longer-term baseline drift over a defined time interval. Drift can be described as the average slope or change of the baseline within a specific period.Excessive drift may reduce sensitivity and complicate chromatographic peak integration.Short-term baseline instability can be influenced by contamination or deterioration of detector components, while long-term drift is often related to temperature stability, detector equilibration, or changes occurring within the analytical system.<h3>How to Select the Right HPLC Detector</h3>There is no universally “best” HPLC detector. The correct detector is simply the one that best matches the analytical task.When selecting a detector, several practical questions can help narrow the choice.<h4>1. Does the analyte absorb UV light or fluoresce?</h4>If the answer is yes, optical detectors such as UV/VIS or FLD are often the simplest and most effective options.UV/VIS detection is widely applicable to compounds containing suitable chromophores, while fluorescence detection provides particularly high sensitivity and selectivity for naturally fluorescent or derivatized analytes.<h4>2. Does the analyte lack a chromophore?</h4>If UV absorption is weak or absent, detectors such as RID, ELSD, or CAD may provide a more appropriate solution.These detector types are useful for compounds such as sugars, lipids, polymers, and other analytes that are difficult to monitor by conventional UV detection.<h4>3. Is structural information required?</h4>If structural information is important, mass spectrometry is usually the strongest choice.MS provides mass-to-charge information and, when tandem mass spectrometry is used, fragmentation data that can support compound identification and structural characterization.<h4>4. Is extremely high sensitivity necessary?</h4>For applications requiring very low detection limits, electrochemical detection or mass spectrometry may be the most suitable options.The exact choice depends on the chemical properties of the analyte and the required degree of selectivity.<h4>5. Are macromolecules such as proteins or polymers being investigated?</h4>For characterization of macromolecules, MALS and viscometry can provide valuable information about molecular weight, molecular size, branching, and aggregation.These techniques are especially powerful when combined with size-exclusion chromatography and can provide information that is not based solely on column elution behavior.For a more detailed discussion of detector selection, see the KNAUER blog article “The way you look at it – A comprehensive guide for selecting the appropriate HPLC detector.”Choosing the detection technology based on analyte properties, required sensitivity, chromatographic conditions, and the type of information needed is essential for obtaining reliable and meaningful HPLC results.<h3>Final Thoughts</h3>Understanding the desired characteristics and key performance parameters of HPLC detectors helps explain why different detector technologies are suited to different applications.No single detector can provide maximum sensitivity, selectivity, universality, robustness, flexibility, and low operating cost simultaneously. Recognizing these trade-offs provides a practical framework for selecting the most appropriate detector for a given chromatographic method.Parameters such as data sampling rate, baseline noise, drift, dynamic range, and compatibility with chromatographic conditions are just as important as the underlying detection principle itself.In the next articles of this series, we will take a closer look at the individual HPLC detection technologies, beginning with the most widely used optical detection method: UV/VIS detection.

Seeing is Believing – Detection Made Easy Part 2: Detector Characteristics

Our Library never stops expanding. What are the most recent contributions to LabRulezLCMS Library in the week of 17th August 2026? Check out new documents from the field of liquid phase, especially HPLC and LC/MS techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT LCMS AND RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">LabRulezGCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">LabRulezICPMS</a> libraries.</blockquote>This week we bring you posters by Agilent Technologies / ASMS, Thermo Fisher Scientific / ASMS and Shimadzu / ASMS and application note by Waters Corporation!<h3>1. Agilent Technologies / ASMS: Quantitation of N-Nitroso Duloxetine N-Nitrosamine Drug Substance Related Impurities (NDSRI) in API and Formulation by 6475 LC/TQ</h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/po_drug_impurities_lc_tq_tp_402_asms_2026_en_agilent_b933b9bddf.pdf">Full PDF for download</a></li></ul>Nitrosamine impurities are nitroso derivatives where the nitroso group is attached to an amine. The active pharmaceutical ingredient (API) derived from a class of nitrosamines are known as N-nitrosamine drugsubstance-related impurities (NDSRI). Nitrosamine impurities in APIs and drug products pose safety concerns, even in small quantities, and thus are a major concern for drug makers [1].&nbsp;Analytical methods must be sufficiently sensitive to quantify the nitrosamine of interest at levels as low as 10% of the specification limit and, where feasible, down to ≤5% of the specification limit, for the determination of the limit of detection. LC/MS/MS is an inherently selective and highly sensitive analytical technique that is well suited for the identification and quantification of trace-level impurities at extremely low concentrations. Consequently, LC/MS/MS has been widely adopted within the pharmaceutical industry, particularly for nitrosamine analysis [2-3].&nbsp;Therefore, manufacturers must develop and qualify a dedicated analytical method that is appropriate for the specific sample matrix and targeted NDSRIs. An LC/MS/MS method based on multiple reaction monitoring (MRM) was developed for the detection and quantification of the N-nitroso duloxetine NDSRI impurity over a concentration range of 0.5 to 40 ppb (absolute standard concentration), using an atmospheric pressure chemical ionization (APCI) source on an Agilent 6475A LC/TQ instrument.<h4>Experimental</h4><ul><li>MS: <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=6475">6475 Triple Quadrupole LC/MS System</a></li><li>Column: <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=Poroshell+HPH+C18">Poroshell HPH C18</a> (4.6*150mm, 2.7µm)</li></ul><h4>Conclusions</h4><ul><li>A highly sensitive and robust MRM LC/MS/MS method was developed for the quantitation of N-nitroso duloxetine in duloxetine hydrochloride API and finished formulation using the Agilent 6475A LC/TQ.&nbsp;</li><li>The optimized chromatographic conditions provided effective separation of the analyte from the API, placebo, and formulation matrices, ensuring reliable quantitation.&nbsp;</li><li>The calibration curve was linear over the concentration range of 0.5-40 ng/mL, with 1/x weighting. R and R2 values were observed for both to be greater than 0.99.&nbsp;</li><li>Recovery studies demonstrated efficient sample extraction, with recoveries ranging from 92-99% in API samples and 109-116% in pellet formulations at the LOQ, specification, and 200% specification levels.&nbsp;</li><li>The method also showed excellent reproducibility across all evaluated concentration levels, confirming its suitability for routine analysis.</li></ul><h3>2. Shimadzu / ASMS: Non-Targeted Analysis of Per- and Polyfluoroalkyl Substances in Environmental Extracts by Microflow LC-QToF Coupled with Multi-spray ESI</h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/TP_562_Non_Targeted_Analysis_of_Per_and_Polyfluoroalkyl_Substances_in_Environmental_Extracts_by_Microflow_LC_Q_To_F_Coupled_with_Multi_spray_ESI_c2a7e1d5bf.pdf">Full PDF for download</a></li></ul>Targeted screening methods are well established for monitoring Perand polyfluoroalkyl substances (PFAS) in environmental samples. However, PFAS comprise a large and evolving class of compounds, creating a need to screen existing, emerging, and transformation products across diverse matrices. Non-targeted Analysis (NTA) allows for the confirmation of suspected PFAS in the environment, but the sample characterization is often limited by analytical sensitivity. Microflow (0.5 – 40 µL/min) coupled with a multi-nozzle emitter enhances sensitivity by improving desolvation. When this is coupled to a high mass accuracy and resolution Quadrupole Time-ofFlight Mass Spectrometer (QToF), capable of data-dependent and independent MS/MS, PFAS characterization of unknown analytes is possible. In this study, various environmental extracts were processed and screened using NTA for PFAS compounds.<h4>Methods</h4>A <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=Nexera+Mikros">Shimadzu Nexera Mikros LC </a>was used to introduce the sample to a Newomics DuoESI source with an M3 emitter on a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library?mainauthorItems=1&amp;search=9050">LCMS-9050 QToF MS</a> (Fig. 1). A direct injection on an octadecyl column without delay column was performed. Direct injection was chosen over trapand-elute configuration to minimize selectivity bias caused by the trap column.&nbsp;<h4>Conclusion</h4>With the increased sensitivity of microflow LC-QToF coupled with multi-spray ESI with DIA acquisition, Insight Explore aided in NTA PFAS analysis. When paired with Insight Discovery and Profiler, a streamlined batch data processing workflow with statistical analysis was shown to effectively handle complex environmental matrices and their analyses.<h3>3. Thermo Fisher Scientific / ASMS: Robust and sensitive quantitation of 18 steroids in human serum using Thermo Scientific TSQ Certis Triple Quadrupole mass spectrometer</h3><ul><li>Poster</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/po_004707_lsms_18_steroids_tsq_certis_clinical_po004707_asms2026_na_en_244c52437b.pdf">Full PDF for download</a></li></ul>Accurate quantification of endogenous steroids in human serum is essential for biomonitoring physiological functions such as hormone regulation, reproduction, and immune response in clinical research laboratories. Liquid chromatography–tandem mass spectrometry (LC–MS/MS) is the gold standard for steroid analysis due to its superior sensitivity, selectivity, and multiplexing capability compared to immunoassays. However, steroid measurements remain challenging because of low endogenous concentrations and complex serum matrices. Here, we describe a robust and sensitive LC–MS/MS method for the simultaneous quantification of 18 steroids in human serum using the Thermo Scientific TSQ Certis triple quadrupole mass spectrometer (Figure 1). The method leverages advanced ion source design and fast acquisition to deliver enhanced sensitivity, stability and throughput suitable for high-volume laboratory workflows.<h4>Materials and methods</h4><h5>Liquid chromatograph – mass spectrometry&nbsp;</h5>Samples were analyzed on a <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/744">Thermo Scientific Vanquish Horizon UHPLC system</a> coupled to the <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/2207">TSQ Certis MS</a> operated in selected reaction monitoring (SRM) mode. The mobile phase composition, analytical column details, LC gradient, and overlaid extracted ion chromatograms (EICs) are shown in Figure 3.&nbsp;<h5>Data analysis&nbsp;</h5>Data were acquired and processed using <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/77">Thermo Scientific TraceFinder software</a> (v 5.2).<h4>Conclusions&nbsp;</h4>A sensitive and robust LC–MS/MS method was developed for simultaneous quantification of 18 steroids in human serum using the Vanquish Horizon UHPLC and TSQ Certis MS with OptaMax Plus ion source. The method demonstrated excellent linearity, accuracy, and reproducibility across a wide dynamic range. Optimization of MS conditions, particularly vaporizer temperature, significantly improved sensitivity. Overall, the workflow delivers high sensitivity, selectivity, and long-term stability, providing a reliable solution for high-throughput steroid analysis in clinical and research settings.<h3>4. Waters Corporation: Alkaline-hydrolysis Method for PFAS in Textiles and Textiles Products by Xevo™ TQ-S micro with ACQUITY™ UPLC™ H-Class Plus System</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720009443_en_0ab4914d72.pdf">Full PDF for download</a></li></ul><div><div><section><div><div><div><div><div><div><h5>Benefits&nbsp;</h5><ul><li>Alkaline hydrolysis method (EN 17681-1:2025) used for preparing textiles, coated textiles and textile products for PFAS analysis allowed the inclusion of side-chain fluorinated polymers&nbsp;</li><li>Extraction method provided significant advantages in handling complex textile matrices by creating clear extracts free from dispersions, settleable solids and particulates&nbsp;</li><li>Protected the high-value LC-MS/MS components from potential damage&nbsp;</li><li>The method improved analytical sensitivity, reproducibility and accuracy, enabled cost-effective and timeefficient PFAS analysis maintained high analytical quality even for challenging high-matrix samples</li></ul>Many PFAS are linked to health concerns because of their ability to interfere with the body’s hormone systems, acting as endocrine disruptors also, linked to other toxic effects. Since textiles come into direct and prolonged contact with the skin, there is an increased risk of human exposure—especially for babies and children.4 In addition, PFAS pose significant environmental concerns. These “forever chemicals” do not readily break down and can be released during manufacturing, washing and disposal, allowing them to enter water pathways and persist in the environment. As a result, testing for PFAS has become increasingly important in the textile industry to demonstrate supply chain transparency, build consumer trust and protect brand reputation.Synthetic fluorinated chemicals are categorized into two main groups - non-polymeric PFAS and polymeric PFAS, known for their use as water and grease repellent, heat resistant finishes in textiles, upholstery, leather, apparel, carpet and other industrial applications such as packaging, firefighting foams, non-stick cookware, etc. (Figure 1). PFAS are fluorinated substances contain at least one fully fluorinated methyl or methylene carbon atom (without any H/Cl/Br/I atom attached to it), i.e. with a few noted exceptions, any chemical with at least a perfluorinated methyl group or a perfluorinated methylene group.2 PFAS are classified as long chain and short chain based on their perfluorinated carbon chain length. Short chain fluorinated polymers encompasses a diverse range of chemistries, categorized according to their generic chemical and repeating units structures. Few examples are: derivatives of fluorotelomers, perfluoropolyethers with varying carbon chain lengths and acrylates, epoxylates, urethane, silicones of repeated units based structures.3 Polyfluoroalkyl substances such as fluorotelomer alcohols (FTOHs) contain C–H bonds, rendering them more susceptible to degradation. The ethoxylates in fluorotelomers-methacrylate break down to FTOH whereas polymeric fluorinated urethanes, acrylates break down to PFCAs (non-polymeric and polymeric side chain fluorinated polymers). In contrast, perfluoroalkyl substances such as PFOS and PFOA are extremely persistent due to their fully fluorinated carbon chains.&nbsp;In alkaline hydrolysis methods, methanolic aqueous sodium hydroxide is used to break down precursor PFAS such as FTOHs, branched side chain PFAS. This process releases terminal perfluorinated carboxylic acids (PFCAs), which can then be measured. However, the efficiency of hydrolysis varies among different PFAS compounds and the presence of interfering substances such as organic matter or other chemicals in the sample matrix can inhibit the cleavage and detection of these analytes.<h4>Experimental</h4><ul><li>LC system: <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/198">ACQUITY UPLC H-Class Plus System</a> and SMFTN fitted with PFAS kit</li><li>Column(s): <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/1823">XBridge™ BEH™ C18 5 µm Column</a>, 4.6 x 100 mm&nbsp;</li><li>MS system: <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/products/209">Xevo TQ-S micro Mass Spectrometer</a></li></ul><h4>Conclusion&nbsp;</h4>By strictly following the critical steps of the alkaline hydrolysis method using methanolic aqueous sodium hydroxide (NaOH) both freely extractable PFAS and those previously bound within side-chain fluorinated polymers such as esters linked to fluorotelomer alcohols (n:2 FTOHs, where n = 4, 6, 8, 10, 12), can be effectively extracted. This approach also safeguards the LC-MS/MS instrumentation from blockages, damage, or contamination by preventing polymer accumulation and matrix interferences.&nbsp;The analytical method using the ACQUITY UPLC H-Class Plus System and Xevo TQ-S micro LC-MS/MS System was found to be sensitive, reproducible and accurate, enabling cost-effective and time-efficient PFAS analysis in chemically processed textiles, coated textiles and textile products whilst maintaining high analytical quality even for challenging high-matrix samples.</div></div></div></div></div></div></section></div></div>

News from LabRulezLCMS Library - Week 34, 2026

Article

Product

Application

Academy

Video

Poster

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

Based in Berlin, KNAUER is a medium-sized, owner-managed company that has been serving the sciences since 1962. We develop and manufacture scientific instruments of superior quality for liquid chromatography, including: Analytical HPLC/UHPLC, Preparative HPLC, Fast protein liquid chromatography (FPLC), Multi-column chromatography/Simulated moving bed (SMB) chromatography. High pressure dosing, in-line detection systems, and osmometry are additional business areas.

KNAUER

Agilent Technologies

Phenomenex

Restek Corporation

Waters Corporation

Separation of highly polar compounds such as pharmaceuticals, metabolites, and biomarkers can be challenging using traditional reversed-phase methods on regular C18 columns.
In this webinar, we will discuss available alternatives such as ion pairing, use of polar bonded phases, or polar modified columns. We will also discuss the benefits of selecting alternative modes of separation, such as HILIC and Ligand Exchange chromatography.
<blockquote>
Presenter: Golnar Javadi (Application Engineer, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Golnar Javadi is an applications engineer providing online applications assistance and technical support for LC columns and supplies, Sample Preparation products, and Spectroscopy supplies.
</blockquote>
<blockquote>
Before joining Varian and then Agilent, Golnar worked in the pharmaceutical and nutraceutical industries on method development and quality control. She also taught college level chemistry courses for a few years.
</blockquote>
<blockquote>
Golnar then joined Varian as a technical support specialist, providing customers with method development assistance and technical support on Sample Preparation (SPE, SLE, and Filtration), HPLC, GC, ToxiLab and DAT. After the Varian-Agilent merger, Golnar joined Agilent Technologies as an Applications Engineer. She provides technical support to customers on Sample Preparation products, Liquid Chromatography columns, and Spectroscopy supplies.
</blockquote>

Agilent Technologies: Analysis of Polar Analytes by LC - What are the Options?

Analysis of Polar Analytes by LC - What are the Options?

In this webinar, we will discuss available alternatives such as ion pairing, use of polar bonded phases, or polar modified columns.

Accelerating Routine Food &amp; Beverage Testing with Optimized Methods
Explore the latest technology and methodology solutions to help you deliver results more easily and efficiently for routine Food and Beverage QC testing for : Sugars, Sugar Substitutes Additives, Vitamins and Amino Acids.
<h3>EPISODE 1 - Sugars Analysis</h3>
Who Should Attend? 
This webinar is focused on profiling and quantifying mono and di-saccharides in food and beverage matrices for the following audience: food manufacturers, CRO, Academia and Research Laboratories.
What will you learn?
<ul>
<li>Impact on the choice of columns on your chromatograms</li>
<li>Profiling and quantifying mono and di saccharides in food and beverages</li>
<li>Choice of chromatographic techniques, columns and detectors</li>
<li>Mass Spectrometry advantages with QDa on this type of analysis</li>
<li>Challenges other labs in your domain are facing</li>
</ul>
<h3>Agenda</h3>
<h4>Routine LC Analysis of Mono and Disaccharides in Food and Beverages</h4>
<ul>
<li>Presenter: Dr. Jinchuan Yang (Principal Scientist - Waters​)</li>
</ul>
Sugars can be found naturally in various foods and Beverages or are added to provide an array of functions, impacting nutrition, the sweetness and flavor of a product as well as mouth feel. With the increasing concerns of obesity and diabetes in many countries, the need to monitor sugar intake has grown in recent years. Consequently, now there are requirements to provide accurate information about added sugar content on food product labels to comply with current food labeling regulation. Monosaccharides fructose, galactose, and glucose, and disaccharides sucrose, lactose, and maltose are common sugar ingredients in foods. While low lactose and lactose-free products are available on the market, it is critical to ensure the label claim of these dairy based food products. High performance liquid chromatography (HPLC) is the method of choice for the analysis of sugars. This webinar will highlight several approaches and considerations to improve your sugar analysis, increase sustainability and of course reduce your run time using High performance Liquid Chromatography (HPLC) as the method of choice and testing different BEH amide columns and showing different detectors performance.
<h4>Screening of methods for determining the sugar content of beverages</h4>
<ul>
<li>Presenter: Giorgio Caldarelli (Senior Laboratory Analyst/RSPP, Campari Central laboratory - Campari Group)</li>
</ul>
We are pleased to receive a special guest Giorgio Caldarelli, from the company Campari Group. A big thanks for their participation and collaboration to share their expertise in our webinar. Giorgio Caldarelli, Senior laboratory Analyst at Campari Central Laboratory will be pleased to present Campari’s sugar analysis. In this presentation it will be exposed the reason Campari has chosen to analyze sugars on HPLC system going deeper in all aspects of the method. He will also share his expertise on other challenging applications developed on UPLC system. 
<h5>Live Q&amp;A session</h5>
<ul>
<li>Moderator: Cecile Pinto (Food &amp; Environmental Market Development Manager, South Europe - Waters)
</li>
<li>Speaker: Dr. Jinchuan Yang (Principal Scientist - Waters)
</li>
<li>Speaker: Giorgio Caldarelli (Senìor Laboratory Analyst/RSPP, Campari Central laboratory - Campari Group)
</li>
<li>Speaker: Andrea Perissi (Food &amp; Environmental MS Sales Specialist - Waters)
</li>
</ul>
<blockquote>
Presenter: Dr. Jinchuan Yang (Principal Scientist, Scientific Operations, Waters Corporation)
</blockquote>
<blockquote>
Dr. Jinchuan Yang is a principal scientist in the Scientific Operations at Waters Corporation. Since he joined Waters in 2002, his roles at Waters have mainly focused on application development, marketing development, as well as support for R&amp;D and training. His main technical expertise is in the food and the environmental analysis areas as well as in material characterization. He volunteers in technical groups at AOAC International and USP and serves as a member of expert panels in these organizations.
</blockquote>
<blockquote>
Presenter: Giorgio Cardarelli (Senior Laboratory Analyst/RSPP - Central Laboratory, Campari Group)
</blockquote>
<blockquote>
Hired in the Sesto San Giovanni plant in 1992, he deals with the analysis of raw materials, semi-finished and finished products. In 1995, with the beginning of Campari&#39;s transformation from a single-product company to a corporate one, it moved to the Central Laboratory, specializing in, among other things, liquid chromatography (HPLC/UPLC/Ion Chromatography). The determined analytes include main products components, as sugars, dyes, organic acid, and limited substances.
</blockquote>

Waters Corporation: Analysis of Mono and Disaccharides in Food and Beverages​

Analysis of Mono and Disaccharides in Food and Beverages​

Topics: Routine LC Analysis of Mono and Disaccharides in Food and Beverages; Screening of methods for determining the sugar content of beverages.

Join us in this webinar to discuss on GPC method development for various large/polymer samples, including GPC principles, designing and execution of method development for various types of large/polymer samples.
In this webinar, we will discuss below applications:
<ul>
<li>Overview of GPC and respective Detectors use</li>
<li>Designing and Selection of mobile phase</li>
<li>Designing of various method parameters and conditions for good resolution, peak response and shape</li>
<li>Column selection criteria for better results</li>
<li>Overview of Agilent GPC columns</li>
</ul>
By attending this webinar you will learn: The systematic ways in designing GPC method development experiments and selection of key components, parameters and column based on the sample type and properties.
*Attend all 3 sessions and get a digital certificate from Agilent
<blockquote>
Presenter: Dr. Ramaprasad Ganni (Technical Support Specialist, Agilent Technologies)
</blockquote>
<blockquote>
Ramaprasad Ganni has 21 years of experience in the field of Chromatography and Column chemistries. Working with Agilent technologies India, since 2008 in Chemistries and Supplies division. Previously Worked for Elsevier GmbH, and Millipore India Pvt, Ltd. Responsible for Workflow solutions development, providing technical support, and trainings. Experienced in Sample prep, HPLC, GC, Mass spec and GPC Chromatography technologies.
</blockquote>

Agilent Technologies: GPC Method Development : It’s not just about sample size in solution

GPC Method Development : It’s not just about sample size in solution

GPC method development experiments and selection of key components, parameters and column based on the sample type and properties.

GPC Method Development : It’s not just about sample size

Join us in this webinar to discuss on basics of GPC technology and respective details of instruments, separations, and parameters in GPC analysis. Along with respective principles and uses for various types of large/polymer samples.
In this webinar, we will discuss:
<ul>
<li>Introduction to GPC</li>
<li>Need of fast GPC and its advantages</li>
<li>Considerations for fast GPC analysis and optimization options</li>
<li>Optimization of various method parameters for good resolution, peak shape and response</li>
<li>Column selection criteria for better results with relevant applications</li>
<li>Agilent columns options for fast GPC analysis</li>
</ul>
By attending this webinar you will learn: How to systematically convert traditional GPC methods to fast GPC, optimize your method parameters for fast GPC analysis and increase lab productivity with proper column selection.
*Attend all 3 sessions and get a digital certificate from Agilent
<blockquote>
Presenter: Dr. Ramaprasad Ganni (Technical Support Specialist, Agilent Technologies)
</blockquote>
<blockquote>
Ramaprasad Ganni has 21 years of experience in the field of Chromatography and Column chemistries. Working with Agilent technologies India, since 2008 in Chemistries and Supplies division. Previously Worked for Elsevier GmbH, and Millipore India Pvt, Ltd. Responsible for Workflow solutions development, providing technical support, and trainings. Experienced in Sample prep, HPLC, GC, Mass spec and GPC Chromatography technologies.
</blockquote>

Agilent Technologies: Pace Up with Fast GPC Analysis

Pace Up with Fast GPC Analysis

How to convert traditional GPC methods to fast GPC, optimize method parameters for fast GPC and increase lab productivity with proper column selection.

<h5>This series will focus on:</h5>
<ul>
<li>An overview on how to ensure your LC system is performing optimally as well as the three main mechanisms that are available to adjust the selectivity of a separation</li>
<li>Allowable changes related to USP&lt;621&gt; with highlights on cost and time savings when modernizing your method</li>
<li>Column chemistry suggestions and tips on how to choose the appropriate column during method development</li>
</ul>
<h5>Who should attend?</h5>
Laboratory managers and scientists who would like to understand how method modernization can save you time and money, those who want to reduce method development time, and those who are curious about how to bring new technology into their laboratory.
<h3>PART 3: TIPS AND TRICKS FOR LC COLUMN SELECTION FOR ROBUST METHODS</h3>
<ul>
<li>Learn how to leverage different column attributes to drive retention and manipulate selectivity</li>
<li>Examples about how the latest column technologies can improve your results</li>
</ul>
<blockquote>
Presenter: Kim Haynes (Director of Chemistry Marketing &amp; Product Management, Waters Corporation)
</blockquote>
<blockquote>
Kim Haynes is a Director of Chemistry Marketing and Product Management in the Consumables and Lab Automation Group at Waters Corporation. Kim manages MaxPeak High Performance Surface Technologies as well as a variety of other programs. Prior to this position, she has worked with Waters Corporation as a chemistry sales specialist and a business development manager. During her 23 years at Waters, Kim has focused on helping scientists and colleagues understand chromatographic separations and sample preparation. Before joining Waters Corporation, Kim worked as an analytical chemist at Bacardi Martini. She holds a BS in Chemistry from Ohio University.
</blockquote>

TIPS AND TRICKS FOR LC COLUMN SELECTION FOR ROBUST METHODS

Learn how to leverage different column attributes to drive retention and manipulate selectivity. How the latest column technologies can improve your results.

This year we invite you to ignite your mind to Be Curious about what Ion chromatography (IC) can do with its versatility in many detections across the IC application spectrum to improve your workflows and solve challenges.
During this three day virtual event, learn from a panel of experts how the latest IC applications are helping colleagues achieve breakthroughs, and walk away with valuable information on how advancements in IC can increase laboratory analytical capabilities. 
Although each day is convenient for a specific region, you can attend any session on any day. All sessions and workshops will be available for on-demand viewing after the event concludes.
<h3>Day 1 Agenda | April 18 | North and South America</h3>
Discover IC column development, and where it’s headed with mass spectrometry, as they can be an integral detection for carbohydrate profiling and environmental metabolites characterization. Learn how standalone IC can solve industrial samples and degradation products with comprehensive IC information, all at once.
<h5>11:30 EDT: Opening Plenary: The Past, Present, and Future of IC Column Development</h5>
<ul>
<li>Alexandra Zatirakha (Thermo Fisher Scientific, IC/SP R&amp;D, Sunnyvale)</li>
</ul>
<h5>12:30 EDT: Characterizing Carbohydrate Degradation Products from Bacteroides Thetaiotaomicron to Understand Bacterial Dextran Utilization in the Gut</h5>
<ul>
<li>Neil Rumachik (Thermo Fisher Scientific, IC/SP R&amp;D, Sunnyvale)</li>
<li>Fiona Cuskin (Newcastle University, UK)</li>
</ul>
<h5>1:30 PM EDT: Toward Comprehensive Chemical Characterization of Metabolomic Using Orbitrap Fusion Tribrid Mass Spectrometer Coupled with Ion and Liquid Chromatography Techniques: Dissolved Organic Matter as an Example</h5>
<ul>
<li>Hussain Abdulla (Department of Physical and Environmental Sciences, Texas A&amp;M University-Corpus Christi)</li>
</ul>
<h5>2:30 PM EDT: The Use of Ion Chromatography in the Monitoring of Degradation Products from the Electrochemical Treatment Of Organic Compounds</h5>
<ul>
<li>Emily Tossi (Federal University of Rio Grande do Norte)</li>
</ul>
<h5>3:30 PM EDT: Ion Chromatography as a Tool for Industrial Problem Solving</h5>
<ul>
<li>Isaac Negrete and Stephen Fosdick (Dow)</li>
</ul>
<h5>4:30 PM EDT: Workshop: Everything, Everywhere, All at Once IC!</h5>
<ul>
<li>Kelly Femrite (IC/SP Product Support, Sunnyvale)</li>
<li>Carl Fisher (IC/SP Product Marketing, Sunnyvale)</li>
<li>Criss Corchard-Keeler (Service Marketing Manager, CMD/MOL Thermo Fisher Scientific)</li>
</ul>

Thermo Fisher Scientific: IC Symposium 2023

IC Symposium 2023 - Day 1

Join us for the 2023 Global IC Symposium! North and South America

In preparative HPLC method development, our goal is the separation and isolation of a valuable compound. Throughput, yield, and purity of the compound are the important parameters for preparative HPLC.
In this webinar, we will discuss the process of scaling up from an analytical to a preparative HPLC method. We will also look at column considerations to increase sample throughput using superficially porous particles in preparative LC columns to drive speed and efficiency.
<blockquote>
Presenter: Mark Powell (Application Engineer, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Mark Powell is an Applications Engineer located at Agilent’s Little Falls site in Wilmington, DE. Before joining Agilent in 2011, Mark worked in the pharmaceutical industry synthesizing, purifying and analyzing drug candidates. He provides applications assistance and technical support for Agilent’s HPLC columns and consumables.
</blockquote>

Scale Up with Confidence: Column Selection for Preparative HPLC

In this webinar, we will discuss the process of scaling up from an analytical to a preparative HPLC method.

Scale Up: Column Selection for Preparative HPLC

When approaching development of a new HPLC method, one of the most forgone conclusions is that to start off, you grab a C18 column and work forwards from there. Whilst C18 is a great stationary phase, and is heavily relied on all around the world, this webinar aims to offer an alternative &#39;generic&#39; phase you may want to consider.
In this webinar we&#39;ll discuss the retention profile of C18 columns, and consider the differences which modified C18 phases can offer. We’ll then consider the retention mechanism of a biphenyl stationary phase and contrast between the two. After this, we’ll look at some practical tips for getting the most from biphenyl columns, and compare a few practical examples of chromatography produced using both a C18 and biphenyl phase.
This webinar aims to:
<ul>
<li>Provide an overview of the retention mechanisms at play with various C18 column types</li>
<li>Discuss how biphenyl columns retain, where they differ from C18, and how to benefit from these differences</li>
<li>Teach the best practices for successful utilization of biphenyl columns in LC methods</li>
<li>Demonstrate examples of biphenyl chromatography in applied solutions</li>
</ul>

Restek Corporation: Are Biphenyl Phases really the new C18?

Are Biphenyl Phases really the new C18?

In this webinar we'll discuss the retention profile of C18 columns, and consider the differences which modified C18 phases can offer.

The emergence of NPS (novel psychoactive substances) on the illicit drug market has created a challenge for toxicology laboratories. With the constant rise of novel compounds, keeping a laboratory testing scope up-to-date is proving increasingly difficult.
This webinar will provide a background on NPS as well as strategies and tools, such as Restek’s Pro EZLC Chromatogram Modeler, that can be used to effectively add NPS compounds to a laboratory’s testing scope using Restek’s Raptor Biphenyl column.
<ul>
<li>Learn key information on how to effectively analyze NPS (novel psychoactive substances) compounds.</li>
<li>See how the Pro EZLC Chromatogram Modeler can help with adding these compounds to your analysis.</li>
<li>Learn how Raptor Biphenyl allows for easy incorporation of these compounds into existing methods.</li>
</ul>
<blockquote>
Presenter: Haley Berkland (LC Applications Scientist)
</blockquote>

Restek Corporation: Strategies for Adding Xylazine, Nitazenes, and Other NPS to Laboratory Testing Scopes

Strategies for Adding Xylazine, Nitazenes, and Other NPS to Laboratory Testing Scopes

We will provide a background on NPS as well as strategies and tools, such as Restek’s Pro EZLC Chromatogram Modeler...

Strategies for Adding Xylazine, Nitazenes, and Other NPS

Key Learning Points:
<ul>
<li>Learn why chiral screening is done, what are the benefits</li>
<li>Take a deep dive into columns, and screening modes/methods</li>
<li>Listen into sample compatibility considerations including: detection, solubility, and chiral centers</li>
<li>Understand quick, easy, and cost-effective ways to identify a solution for your chiral separation needs</li>
</ul>
Who Should Attend:
<ul>
<li>Any LC users who would like to get tips on a chiral screening process for method development</li>
<li>Any academia or pharmaceutical scientists who need to rapidly develop a method for separation and characterization of their chiral compounds</li>
</ul>
<blockquote>
Presenter: Zandra Baja (Applications Scientist, Phenomenex)
</blockquote>

Phenomenex: Chiral Chromatography Screening 101

Chiral Chromatography Screening 101

Join us in this upcoming webinar and take a deep dive into columns and screening modes/methods!

LCMS webinars focusing on Columns - page 18

Scale Up with Confidence: Column Selection for Preparative HPLC

Chiral Chromatography Screening 101

Strategies for Adding Xylazine, Nitazenes, and Other NPS to Laboratory Testing Scopes

Are Biphenyl Phases really the new C18?

TIPS AND TRICKS FOR LC COLUMN SELECTION FOR ROBUST METHODS

Pace Up with Fast GPC Analysis

GPC Method Development : It’s not just about sample size in solution

IC Symposium 2023 - Day 1

Analysis of Polar Analytes by LC - What are the Options?

Analysis of Mono and Disaccharides in Food and Beverages

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Scale Up with Confidence: Column Selection for Preparative HPLC

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Are Biphenyl Phases really the new C18?

TIPS AND TRICKS FOR LC COLUMN SELECTION FOR ROBUST METHODS

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