ISC 2026 - Day 2

<h4>What if you could compress 179 days of grueling laboratory workflow into just 14 hours?</h4>In this episode of ‪ChromatographyTalk‬, ‪Organomation‬ General Manager David Oliva sits down with analytical chemist Laura Penabad to discuss her groundbreaking new research in biocatalysis and high-throughput screening. Evolving engineered enzymes typically requires checking thousands of variants—a massive bottleneck when traditional Liquid Chromatography-Mass Spectrometry (LC-MS) runs take minutes per sample. Laura reveals how her team built a modular screening platform that shatters this limitation, running samples 128 times faster than standard methods without sacrificing analytical accuracy.Laura breaks down the "orchestra" of technologies making this possible, including coupling nanoliter droplet microfluidics with Cyclic Ion Mobility-Mass Spectrometry (cIM-MS) to separate complex chemical isomers in milliseconds. She also shares the chaotic but triumphant behind-the-scenes stories of her PhD journey—from presenting a "comically bad" early poster at ASMS to recruiting an undergraduate mechanical engineer to build custom automation software from scratch.If you are an early-career researcher, a mass spec enthusiast, or curious about the future of synthetic biology and machine learning in chemistry, this episode is packed with invaluable intuition and advice.<h3>Video Transcription</h3><h4>From Months to Hours: Droplet Ion Mobility–MS for Biocatalysis Screening</h4>High-throughput screening is central to directed enzyme evolution, but conventional analytical workflows can create a difficult compromise: extremely fast screens often provide limited structural information, while techniques such as LC-MS offer much richer chemical insight at the cost of throughput. In a recent interview, analytical chemist Laura described how her work with droplet-based cyclic ion mobility mass spectrometry is helping bridge that gap—providing rapid analysis while retaining the ability to distinguish structurally similar products.Her research grew from an initially modest proof of concept into a screening platform capable of analyzing a 96-well plate in roughly ten minutes. The resulting workflow was approximately 128 times faster than a conventional three-minute LC-MS analysis, opening new possibilities for directed evolution campaigns in which thousands of enzyme variants need to be evaluated.<h4>Directed evolution needs better analytical screening</h4>Biocatalysis takes advantage of enzymes as highly selective catalysts capable of performing reactions under relatively mild conditions. Directed evolution extends those capabilities by deliberately modifying enzyme sequences, expressing large numbers of variants, screening their activity, and using the best-performing mutants as starting points for subsequent rounds of evolution.The process can be repeated multiple times, progressively steering an enzyme toward improved activity, altered substrate specificity, or even chemistry that does not occur naturally.But the effectiveness of directed evolution depends heavily on the screening step. The more variants that can be analyzed—and the more useful chemical information that can be collected for each one—the more effectively researchers can explore the enormous sequence space available to an enzyme.For Laura, this created a clear analytical challenge: develop a screening platform that was substantially faster than conventional chromatographic analysis without sacrificing the structural discrimination needed for chemically similar products.<h4>From an imperfect first experiment to a working platform</h4>The project did not begin with a polished high-throughput workflow.Laura recalled looking back at her 2023 ASMS poster, where the early system was still working with standards rather than true isomeric samples. Droplet introduction was slow—around six seconds per droplet—and the signals were far from the ideal reproducible, square, flat-topped profiles expected from replicate droplets.Nevertheless, simply producing a droplet signal represented an important first milestone.The decisive change came when the project stopped being treated merely as a demonstration that droplet ion mobility–MS could work and instead became a deliberate effort to build a robust screening platform.Laura approached the problem in modules. First came reliable droplet introduction. Then the ion mobility separation method. Quantification became another independent component. Matrix effects were introduced later, gradually making the system resemble the conditions expected with real screening samples.Each layer was tested before another was added.This stepwise strategy became one of the central principles of the project: rather than attempting to optimize the entire system simultaneously, individual components were developed, challenged, and then assembled into an increasingly realistic workflow.<h4>Finding the middle ground between speed and structural information</h4>One of the biggest analytical problems in high-throughput screening is distinguishing products with the same nominal or exact mass.Constitutional isomers may contain the same atoms and therefore generate the same mass-to-charge ratio, while differing only in how functional groups are arranged within the molecular structure. Very rapid optical or mass-based screens may therefore struggle to distinguish them.Traditional LC-MS can solve many of these problems through chromatographic separation, but a several-minute analysis rapidly becomes impractical when thousands of enzyme variants must be screened.Ion mobility offered Laura’s team another option.Rather than separating compounds on a chromatographic timescale, ion mobility can differentiate ions according to their gas-phase behavior on a much shorter timescale. In the workflow described in the interview, this created a useful compromise: not the kilohertz throughput possible with some simple screening technologies, but dramatically faster structural differentiation than conventional LC-MS.The goal was therefore not simply to achieve the fastest possible screen, but to find a middle-throughput analytical regime with enough resolving power to answer chemically meaningful questions.<h4>A 96-well plate in about ten minutes</h4>That strategy eventually produced one of the most striking results of the project.The droplet cyclic ion mobility–MS platform processed a 96-well plate in roughly ten minutes, while maintaining quantitative results comparable with the conventional LC-MS workflow used for comparison. According to the interview, this represented an approximately 128-fold increase in analysis speed relative to a three-minute LC-MS run.Laura described the successful plate experiment less as a surprise than as confirmation that the modular development strategy had worked.Before reaching that point, the workflow had already been challenged through a sequence of increasingly demanding experiments: droplet formation, ion mobility separation, calibration, matrix-containing calibration, and cross-testing analytes at different concentrations. By the time the complete plate was analyzed, each individual part of the analytical system had already been tested under progressively more realistic conditions.<h4>What does that speed mean for directed evolution?</h4>The impact becomes even clearer when the workflow is considered at the scale of an entire directed-evolution campaign.Laura’s manuscript estimated that a five-round campaign involving 5,000 variants would require approximately 179 days using the conventional LC-MS workflow but only about 14 hours using the new platform.Compressing months of analytical work into less than a day has consequences beyond laboratory productivity.It allows researchers to screen more enzyme variants and therefore sample a larger portion of sequence space. But the resulting datasets may also become increasingly valuable for computational approaches.Rather than retaining information only about the best-performing enzyme variant, researchers can preserve data describing variants that performed poorly as well as those that succeeded. When genotype and phenotype information remain linked through the well-plate workflow, these larger datasets can potentially provide richer input for machine-learning models designed to guide subsequent rounds of enzyme evolution.Faster analysis therefore does more than accelerate an existing experiment—it can change the scale and design of the experiment itself.<h4>Balancing ion mobility resolution and signal</h4>Increasing cyclic ion mobility separation time can improve resolution, but it also introduces an important trade-off: additional passes can reduce signal.Laura optimized this balance experimentally by continuously infusing mixtures containing both isomers and progressively adjusting the ion mobility conditions. After tuning parameters such as wave height and velocity, increasing the separation to three passes provided baseline resolution at the high analyte concentrations used during method development.<blockquote>Concentration, however, also mattered.</blockquote>At higher ion populations, space-charge effects could broaden peaks and reduce the baseline separation. This meant that the optimal number of passes could not be selected independently of the concentration range required by the final assay.Her broader advice for optimization is therefore application-driven: decide first what the analytical method actually needs to accomplish.More speed will almost always require sacrificing something—resolution, signal intensity, quantitative precision, or another performance parameter. The key is to identify which compromise the application can tolerate and then optimize the system around that requirement.<h4>Solving droplet carryover with a practical compromise</h4>Droplet-based workflows present their own engineering challenges, including carryover between neighboring samples.In Laura’s system, analytes showed little tendency to partition into the fluorinated oil separating aqueous droplets within the Teflon tubing. The more troublesome carryover occurred closer to electrospray ionization, where a small amount of sample could remain associated with the interface and appear when the next droplet arrived.Rather than adding excessive engineering complexity to an already elaborate platform, the researchers adopted a pragmatic solution: a sacrificial wash droplet between analytical samples.It is an example of a recurring theme throughout the project. The objective was not to construct the theoretically most sophisticated droplet system, but to create a screening workflow that remained sufficiently robust, reproducible, and practical for large numbers of samples.<h4>High-throughput analysis also requires high-throughput data processing</h4>Accelerating the mass spectrometry experiment created another bottleneck: the data.The instrument produced a continuous intensity-versus-time trace rather than a neatly organized well-plate dataset. With small experiments, Laura could manually identify individual droplets and process the results in spreadsheets. That approach quickly became unrealistic as sample numbers increased.The solution emerged through collaboration with an undergraduate mentee, Aiden, who helped develop a dedicated software tool for processing the continuous traces.Laura defined how the software should behave and how the analytical information should be organized, while Aiden developed the computational implementation. The workflow itself was subsequently adjusted to make automated data processing more reliable—for example, by introducing marker columns that allowed the software to recognize the end of each plate row.The resulting tool can accept the acquired traces together with information about plate dimensions and replicates and automatically return parameters including peak identity, duration, and the corresponding well position. A later version also generated an automatically populated heat map.The experience illustrates how improving analytical throughput often requires simultaneous development of instrumentation, experimental design, and informatics. Making the measurement faster is useful only if the resulting data can be processed at a comparable speed.<h4>Mentoring became part of the scientific process</h4>The software project also reflects another theme Laura emphasized throughout the interview: the value of mentoring.Several younger researchers contributed directly to the development of the final platform. Laura described mentees not simply as additional hands in the laboratory but as scientists capable of proposing their own hypotheses and experimental ideas.Working with undergraduate researchers also influenced the way she organized experiments.Because their available laboratory time was limited, each task needed to have a clear purpose. That encouraged a more disciplined approach to experimental planning: instead of performing experiments simply because they could be done, the team had to ask which experiment would most efficiently answer the next important question.In that sense, mentoring became another mechanism for improving the research itself.<h4>The next step: continuous, automated screening</h4>Despite the dramatic increase in analytical speed, the current workflow still includes manual operations such as loading tubing and connecting the sample stream to the mass spectrometer.The next engineering challenge is therefore automation.Laura described ongoing work using the Venturi effect to pull samples directly from wells into the droplet system. Building on previous work in the laboratory with 96-well plates, she has already tested this approach with as many as 2,000 samples.The long-term direction is clear: continuous and robust droplet generation, automated handling of thousands of samples, rapid ion mobility separation, mass spectrometric detection, and automated reconstruction of the resulting data into plate-based outputs.Combining those elements could move the system closer to the type of large-scale screening required for increasingly ambitious biocatalysis campaigns.<h4>Learning mass spectrometry one problem at a time</h4>Laura also reflected on the broader experience of developing the platform during her PhD.Ion mobility and mass spectrometry initially appeared intimidating, particularly because they combine concepts from analytical chemistry, physical chemistry, separations, instrumentation, and electrical engineering. What eventually changed was not simply learning more facts, but developing the ability to move repeatedly between theory and experiment.An unexpected result sends the researcher back to the underlying theory. A better understanding suggests a modified experiment. That experiment creates another observation, gradually building intuition about how the system behaves.Her advice to early-career scientists is therefore to accept that this process takes time.Advanced analytical techniques may initially appear overwhelming, but understanding develops incrementally through repeated interaction between theory, experimentation, failure, and refinement. Equally important, she emphasized the role of the supportive ion mobility–mass spectrometry community in making a technically demanding field more approachable for young researchers.From the first inconsistent droplets to a platform capable of processing thousands of samples, that iterative mindset ultimately shaped the entire project.<blockquote>This text has been automatically transcribed from a video presentation using AI technology. It may contain inaccuracies and is not guaranteed to be 100% correct.</blockquote><blockquote><h4>Concentrating on Chromatography Podcast</h4>Dive into the frontiers of chromatography, mass spectrometry, and sample preparation with host David Oliva. Each episode features candid conversations with leading researchers, industry innovators, and passionate scientists who are shaping the future of analytical chemistry. From decoding PFAS detection challenges to exploring the latest in AI-assisted liquid chromatography, this show uncovers practical workflows, sustainability breakthroughs, and the real-world impact of separation science. Whether you’re a chromatographer, lab professional, or researcher you'll discover inspiring content!You can find Concentrating on Chromatography Podcast in podcast apps:<ul><li><a target="_blank" rel="noopener noreferrer" href="https://open.spotify.com/show/1wZg67rCjoGju4yhqxI3tL">Spotify</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podcasts.apple.com/tz/podcast/concentrating-on-chromatography/id1788429185">Apple podcast</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://podscan.fm/podcasts/concentrating-on-chromatography">podscan</a></li></ul>and on <a target="_blank" rel="noopener noreferrer" href="https://www.youtube.com/@ChromatographyTalk/videos">YouTube channel</a></blockquote>

Droplet Cyclic Ion Mobility Mass Spec: Compressing Months of Enzyme Screening Into Just 14 Hours

ISC 2026 - Day 3

Article

Events

Video

Scientists

Interview

The International Symposium on Chromatography (ISC) represents the oldest conference series focussing on separation science. ISC symposia have been organised since 1956 in each even year. ISC is internationally recognised as one of the premier meeting series for discussion of all modes of chromatography and separation science with a broad coverage of techniques and applications.

International Symposium on Chromatography - (ISC)

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

Organomation

Wasson GC O-FID Oxygenated Components in Gasoline Analyzer

Using an Agilent Technologies 8890 with custom Wasson-ECE hardware, this instrument rapidly determines oxygenate components in motor fuels.

Approved for determining oxygenates in gasoline and other motor fuels by ASTM D5599 and EN 1601
The determination of oxygenates in motor fuels is an important mandate of the reformulated fuels program. To meet this goal, the United States Environmental Protection Agency approved the use of Oxygenate Flame Ionization Detector (O-FID) analysis in preference to other analyses currently used by the fuels industry.
<h5>Oxygen Selectivity</h5>
Using an Agilent Technologies 8890 GC with custom Wasson-ECE hardware, this instrument rapidly determines oxygenate components in motor fuels. A single injection is introduced onto a capillary column which separates oxygenate components in boiling point order. A cracking reactor converts hydrocarbons into elemental carbon, and oxygenated compounds into carbon monoxide. A methanizer then further converts the carbon monoxide into methane before eluting to the FID detector.
Because hydrocarbons never make it to the detector, this method completely eliminates problems with hydrocarbon interferences.
<h5>Single GC 8890 Instrument Configurations:</h5>
<ul>
<li>ASTM D5599 or EN1601 - Oxygenates in gasoline and other motor fuels by O-FID.
</li>
<li>O-FID with D3606 - Oxygenates by O-FID per ASTM D5599 and benzene and toluene in motor fuels by FID per ASTM D3606
</li>
<li>O-FID with D4815 - Oxygenates by O-FID per ASTM D5599 and oxygenates by FID per ASTM D4815
</li>
<li>O-FID with D4815 and D3606 - Oxygenates by O-FID per ASTM D5599, oxygenates by FID per D4815, and benzene and toluene by FID per ASTM D3606
</li>
</ul>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Altium_International_Wasson_O_FID_GC_analyzator_kyslikatych_latek_Ukazkovy_chromatogram_z_O_FI_Du_32e439263e.jpg" alt="Wasson: Example chromatogram from O-FID GC system"/>
<h5>Simple to Use and Operate</h5>
The Wasson-ECE O-FID has been engineered to provide long life and require infrequent service. When replacement of the cracking reactor or methanizer is necessary, the task can be accomplished in under one hour, including instrument equilibration time.
<h5>Precise Analyses</h5>
Repeatibility tests yield relative standard deviations (RSD) of approximately 1% by weight over a series of 10 runs for all major oxygenated components. The O-FID response is linear over four orders of magnitude. An automated injection device is recommended to provide the most reliable means of repeatable injection.
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Altium_International_Wasson_O_FID_GC_analyzator_kyslikatych_latek_Opakovatelnost_mereni_51c93d3988.jpg" alt="Wasson: GC O-FID Oxygenated Components in Gasoline Analyzer - Repeatibility tests"/>

Wasson-ECE GC RGA Refinery Gas Analyzers

Wasson-ECE Refinery Gas Analyzers (RGA) are an integral part of any HPI lab. 

Wasson-ECE Refinery Gas Analyzers (RGA) are an integral part of any HPI lab. These instruments often carry the heaviest sample loads because of the critical information they provide. RGAs provide valuable information regarding plant operation, unit optimization, and quality control. Our RGA systems are designed for flexibility while maintaining the accurate and repeatable results our clients have come to expect.
As a premier channel partner of Agilent Technologies, Wasson-ECE extends the capabilities of the 8890 Gas Chromatograph to meet key requirements of refinery gas analysis. The Wasson-ECE RGA incorporates our specially designed auxiliary oven, which holds up to five additional rotary valves and six columns, extending the analysis capabilities far beyond traditional methods.
At Wasson-ECE we strive to produce a product that is innovative and state-of-the-art to help our customers overcome their analytical challenges. The flexibility of our RGA systems can ease bench space issues by combining analyses into a single instrument while maintaining an easy to service system with minimal downtime.
<h3>RGA Features</h3>
<ul>
<li>Complete range of analyzers for refinery and other petroleum gases and liquids
</li>
<li>vIncludes method development, selection of valves, and columns** in all configurations
</li>
<li>Dual TCDs and a single FID for the simultaneous analysis of fixed gases and hydrocarbons
</li>
<li>Wasson-ECE Auxiliary Oven which provides a second thermal zone
</li>
<li>Customized reports including calculations for mole %, weight %, or volume %, and calorific value available
</li>
<li>Optional liquid sampling valves or On-board Vaporizer expands the analytical capabilities to liquefied gases
</li>
<li>Optional fourth detector available on all Super RGA configurations
</li>
</ul>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Altium_International_Wasson_RGA_GC_analyzator_rafinerskych_plynu_Wasson_ECE_Moznosti_konfigurace_RGA_17545e3d4c.jpg" alt="Wasson: Wasson-ECE RGA Configuration Options"/>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Altium_International_Wasson_RGA_GC_analyzator_rafinerskych_plynu_Ukazkovy_chromatogram_standardni_RGA_1b72a88528.jpg" alt="Wasson: 383-Standard Refinery Gas Analysis"/>
<h3>Wasson-ECE Super RGA</h3>
Wasson-ECE has the unique ability to add a fourth detector to the GC, building our Super RGA series of analyzers. The additional detector expands the analytical capabilities of the standard RGA to accommodate applications such as sulfurs, oxygenates, heavy hydrocarbons, and trace CO/CO₂. This increased flexibility in configurations can reduce the number of GC’s used in a lab, saving clients valuable bench space and time.
<h5>Performance Guarantee</h5>
From hardware to analysis we stand behind our quoted application. Prior to shipping the instrument, chromatograms are submitted for customer approval. Performance is guaranteed to the clients actual sample, not just a generic standard. Any problems with the application during the first year are covered under warranty for an unparalleled performance guarantee.
<h3>The Wasson-ECE Turn-key Process</h3>
<h5>Sales</h5>
<ul>
<li>Application designed to customer&#39;s requirements</li>
</ul>
<h5>Factory Application</h5>
<ul>
<li>Method development and application setup</li>
<li>Customer samples are run to verify performance</li>
<li>Chromatograms are sent for client approval</li>
<li>Factory acceptance training if desired</li>
</ul>
<h5>Installation</h5>
<ul>
<li>Experienced Wasson Field Service Technician</li>
<li>Analysis of client’s real world samples</li>
<li>Calibration and familiarization</li>
</ul>
<h5>Customer Satisfaction</h5>
<ul>
<li>Follow up after installation</li>
<li>Knowledgeable and responsive service team</li>
<li>Optional preventative maintenance visits or service contracts</li>
</ul>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Altium_International_Wasson_RGA_GC_analyzator_rafinerskych_plynu_Ukazkove_chromatogramy_Super_RGA_c62a4d715e.jpg" alt="Wasson: Example chromatograms (Super RGA)"/>

Wasson GC DHA Hydrocarbon Expert software

DHA analysis easy and simple. Efficient analysis is now even more efficient. Hydrocarbon Expert software.

Wasson-ECE Dragon DHA is a fast, easy to use application for the detailed hydrocarbon analysis of petroleum products by high efficiency gas chromatography. Dragon DHA uses a convenient, graphical interface to provide a one-screen display for visually observing the chromatogram and manipulating the data calculations in order to obtain the optimum results for analysis and data presentation.
<h3>Dragon DHA Includes:</h3>
<ul>
<li>Quick database creation.
</li>
<li>Fast peak identification and results processing.
</li>
<li>“Unknown” tab lists unidentified peaks in order of concentration.
</li>
<li>“Unknown indexer” takes the user directly to the unknown peak for identification.
</li>
<li>Unique dashboard feature continuously presents the user with all calculated results and instantly recalculates when changes are made.
</li>
<li>Hydrocarbon group-type filtering.
</li>
<li>Full preview and printing of reports.
</li>
<li>Results are bound with chromatographic data for instant retrieval and archiving. 
</li>
<li>Original files and data are never affected (CFR Part 11/ISO 17025).
</li>
<li>Result files are saved as netCDF (.AIA) format files and can be accessed by any third-party application that supports reading .AIA file format.
</li>
<li>Result files work as fully functional reference databases.
</li>
<li>Full reports are stored with results for easy retrieval without reprocessing.
</li>
</ul>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Altium_International_Wasson_Obrazek_1_Diagram_casti_DHA_chromatogramu_s_identifikovanymi_a_neidentifikovanymi_piky_b50386d9b9.jpg" alt="Wasson: Diagram of the part of the DHA chromatogram with identified and unidentified peaks. Hydrocarbon Expert greatly simplifies the identification of components by comparing the measured chromatogram with a reference."/>
<h3>Wasson-ECE Dragon DHA Software</h3>
Wasson-ECE Instrumentation Dragon DHA software uses integrated chromatographic data from commercial GC data systems, i.e. ChromPerfect, EZ Chrome, ChemStation. In fact, any GC data system capable of AIA (ANDI) file output is compatible with Dragon DHA.
<h3>Chemical and Physical Property Calculations</h3>
<ul>
<li>Vapor pressure</li>
<li>Oxygenate content</li>
<li>Relative density</li>
<li>Average molecular weight</li>
<li>Calculated research octane number</li>
<li>% carbon, % hydrogen</li>
<li>Calculated bromine number</li>
<li>Mass% and vol% multi-substituted ring aromatics</li>
<li>Total boiling point distribution</li>
<li>Wt%, vol%, mole% of group types by carbon number</li>
<li>Wt%, vol%, mole% of individual components</li>
</ul>
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Altium_International_Wasson_Obrazek_5_V_software_lze_porovnavat_neomezeny_pocet_signalu_a_reportu_Srovnani_lze_provest_na_jakekoli_urovni_od_shrnuti_dle_skupin_po_vlastni_vypocty_9c06f36d16.jpg" alt="Wasson: An unlimited number of signals and reports can be compared in the software. Comparisons can be made at any level, from group summaries to custom calculations."/>

Wasson Pressurized Liquid Auto-sampler (LS100B)

Wasson-ECE Liquid Auto-Sampler (LS100B) offers laboratory automation for pressurized liquid samples such as liquefied petroleum gas (LPG) and natural gas liquids (NGL).

Wasson-ECE Liquid Auto-Sampler (LS100B) offers laboratory automation for pressurized liquid samples such as liquefied petroleum gas (LPG) and natural gas liquids (NGL).
The LS100B uses inert gases to maintain pressure so that the sample remains in the liquid state at ambient temperature as it passes to the GC for analysis.
The LS100B accommodates up to nine sample cylinders with 1/4 inch tube, VCO, or quick connect fittings. These fittings hold the sample cylinders vertically, ensuring that samples are drawn from the bottom of the cylinder.
<h4>Pressurized Liquid Auto-sampler Features</h4>
<ul>
<li>Purges automatically with carrier gas between each sample run
</li>
<li>Remote-starts the GC and the data recording software such as ChemStation™
</li>
<li>Adds a date/time stamp to all samples
</li>
<li>Holds up to nine 3.5 inch / 8.9 cm diameter sample cylinders
</li>
<li>Works with standard open or floating-piston sample cylinders
</li>
<li>Pauses automatically when it detects that the GC is not running or not ready
</li>
<li>Can interrupt the scheduled sample sequence to process a priority sample
</li>
</ul>

Wasson Dynamic Blender for GC (DB302)

The Dynamic Blender is a portable gas blending device that dilutes a sample or a certified standard with a matrix gas of choice.

Gas chromatography (GC) analyses often include trace level detection of components requiring samples or standards at low concentrations. Some analytes are expensive or difficult to purchase at low levels due to reactivity, adsorption, or high molecular weight. Analyses may also cover a wide concentration range, requiring multi-point calibration.
The Wasson-ECE Dynamic Blender (DB302) provides a simple solution to these calibration needs. The Dynamic Blender is a portable gas blending device that dilutes a sample or a certified standard with a matrix gas of choice. One certified standard with concentrations at the upper limit of the desired calibration curve can be diluted to a lower level (&gt;2 orders of magnitude lower) to create a full calibration curve.
An inert flow path and heated bridge eliminate adsorption and condensation problems when blending gas standards that include sulfur, nitrogen, and other reactive compounds.
An on-board flow controller allows the diluent gas flow to be controlled digitally and samples are fed directly to a gas chromatograph. The Dynamic Blender eliminates the need to purchase and store multiple gas cylinders and provides an easy, cost-effective solution for gas phase calibration needs.
<h4>Dynamic Blender Features</h4>
<ul>
<li>Approximately 100 pre-programmed pure diluent gases and mixtures and twenty user configurable diluent mixture slots.
</li>
<li>Maximum Diluent Pressure of 100 psi (leak tested to this pressure)
</li>
<li>Maximum Temperature of 150°C (operation verified at this temp.)
</li>
<li>Mass Flow Controller Range of 10 – 500 cc/min
</li>
<li>7 μm in-line gas filters (treated) are also provided
</li>
<li>Specially passivated tubing for trace reactive compounds (sulfurs, oxygenates, etc.)
</li>
</ul>
*This treatment is not suitable for samples with pH &gt; 8.0, so please notify your sales representative if you have high pH samples.

Wasson Variable Pressure Sampler (VPS)

The Variable Pressure Sampler (VPS) works in two ways to ensure the precision and accuracy of gas results.

The Variable Pressure Sampler (VPS) works in two ways to ensure the precision and accuracy of gas results. The first method is pressure correction, used to create uniform pressure among all injected samples and the calibration blend. The second method is multi-point calibration, which can deliver a calibration blend to the GC at various pressures.
The VPS pressure correction system performs a multi-step process that ensures samples and calibration blends are at uniform pressures when they are injected.
First, when the calibration blend is run through the GC, the VPS measures and stores the pressure of the calibration blend at the time of injection. Then, as each sample is injected at the stored pressure, the VPS adjusts the pressure of the sample to match the pressure of the calibration blend.
The inject pressure of the sample is reported to Agilent Technologies OpenLAB ChemStation software so calculations and quality control operations can be performed.
Using the VPS, calibration samples can be run at various pressures from a single standard. This decreases overall lab costs while ensuring greater accuracy in results. The multi-point calibration function allows testing for signal linearity at different pressures. With this feature, the user can easily pinpoint the range of pressures which generates the most accurate and meaningful results from the calibration standard.
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Wassson_Variable_Pressure_Sampler_VPS_linearity_77314725d6.jpg" alt="Wassson: Variable Pressure Sampler (VPS) - linearity"/>

Wasson LPG Vaporizer (1107)

The LPG Vaporizer uses an innovative, proprietary technique to vaporize liquid samples for injection in an existing GC system.

The LPG Vaporizer uses an innovative, proprietary technique to vaporize liquid samples for injection in an existing GC system. This convenient laboratory system offers flexibility and accuracy for both gas and liquid samples.
The LPG Vaporizer is more convenient than a typical liquid sample valve with more accurate results. All liquid samples are vaporized and run at a constant pressure, eliminating sample density changes that cause errors in liquid phase samples. This ensures sharp, easy-to-read peaks for all samples.
The LPG Vaporizer is built with specially passivated parts for analyzing trace reactive analytes such as sulfurs and oxygenates.
Wasson-ECE&#39;s unique, proprietary vaporization technique produces an even and accurate gas sample. Other vaporizers use tubing with a large volume, causing samples to fractionate when vaporized. This can lead to incomplete sample analysis. The LPG Vaporizer controls the injection volume so that all elements in the liquid sample are vaporized and sent to the GC simultaneously, producing a complete and accurate analysis of the sample.
<h4>LPG Vaporizer Features</h4>
<ul>
<li>Inject liquid and gas samples with a single valve
</li>
<li>High sample throughput
</li>
<li>Purging technique reduces cross-contamination
</li>
<li>Ability to stop sample flow to the GC at any time
</li>
<li>Controlled injection volume
</li>
<li>4 ft. heated bridge from vaporizer to customer&#39;s GC sample valve to prevent sample re-condensing
</li>
</ul>

Wasson Gas Auto-sampler (AS202)

The Gas Auto-sampler (AS202) is a stand-alone device that delivers samples to the GC through a heated bridge, ensuring that samples are injected at the appropriate temperature.

The Gas Auto-sampler (AS202) is a stand-alone device that delivers samples to the GC through a heated bridge, ensuring that samples are injected at the appropriate temperature. The heated pathway is purged with carrier gas between each sample injection, and a vacuum pump ensures an extremely low level of matrix cross-contamination (typically less than 50 ppm).
Samples are loaded into the AS202 oven, which can hold up to twelve 500cc sample cylinders or nine 1L cylinders. The shelves are removable and adjustable and can also be tilted to prevent injection of any residual liquids which then changes the setup to allow for a maximum of eight 500cc or six 1L cylinders.
Samples (1000 psig / 6895 kPa max) are automatically regulated during the purging sequence so the GC injects all samples and calibration blends at atmospheric pressure. The AS202 can also be configured to automate injection of samples that are already at atmospheric pressure.
The table below compares the GC analysis results for 2 mL samples of n-pentane and n-hexane at 100 psig in propane. In the first trial, the sample is sent to the GC from the AS202 at ambient temperature; in the second trial the AS202 heats the samples to 130°C before injection.
<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Wasson_Wasson_autosampler_pro_plynne_vzorky_Srovnani_vysledku_GC_analyz_f7c0ad0991.jpg" alt="Wasson: Repeatability Comparisons - Heated vs. Unheated"/>

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