The cassette column format solved yesterday’s problem. Aurora Series® solves today’s.

August 17, 2026

Key takeaways:

The integrated cassette column format was a genuine advance; Aurora Series® uses it too. The difference is what’s inside the cassette
Some widely adopted cassette designs concealed the emitter junction rather than removing it. That hidden union introduces post-column dead volume. Dead volume that varies run to run is what drives the inconsistency most labs have learned to live with
Aurora Series® true pulled emitter is formed from the same fused silica as the column. No junction. No union. Nothing to vary
Independent comparisons show 10–30% more peptide IDs from the same sample, same instrument, same gradient. At the upper end, that changes what a study can conclude
More IDs per run means richer data from every replicate, reducing the chance that a biologically important protein or biomarker stays below the detection threshold entirely
The hidden costs of variable chromatography (repeat runs, troubleshooting time, results you half-trust) don’t appear on any invoice. They show up in overtime, delayed publications, and instrument availability that should be higher
Aurora Series® is the fastest-growing nano column in academic proteomics by citation count
The switch is simple: Same cassette format. Compatible with existing nano LC and MS setups. Most labs see a difference from the first run

Plug-and-play column cassettes made nano LC-MS accessible to a generation of researchers. The format stuck because it simplified what was a difficult setup – a column should be easy to use. But it should also protect signal, preserve separation quality, support stable retention and help your LC-MS system deliver its full potential.

Not all cassettes are equal inside, and in proteomics, that difference shows up in every run.

Great idea, varied execution.

Before the incumbent column cassette format, nano LC-MS setup was a discipline in itself: Connecting columns to emitters without introducing dead volume, aligning the source, managing fittings and consistent column heating, and getting reliable spray.

The cassette format simplified that by packaging the column, emitter, and source interface into a single, integrated-looking system. It made nano LC-MS feel manageable to a much wider user base. Plug-and-play was a real workflow improvement. The cassette format works – what’s inside the cassette, less so.

What some cassette designs conceal.

In some widely adopted cassette designs, the emitter junction (the connection between the packed column bed and the spray tip) was not removed. It was just packaged inside the cassette body, out of sight, but very much still present.

From the outside, the assembly looked integrated. Inside, there was still a union, and with it, the potential for dead volume after the packed bed.

Dead volume at that junction is a real concern. It causes band broadening – peaks that should be sharp become wider and shorter. Sensitivity drops and signal transfer to the mass spectrometer is less efficient. Because the effect is consistent rather than catastrophic, it’s easy to accept as normal. It’s not normal. A popular cassette design made the chromatography easier – but it didn’t make it better. That difference matters now more than ever.

What is dead volume really costing you?

Post-column dead volume affects sensitivity, signal transfer, and peak shape. Because mass spectrometers are concentration-sensitive detectors, a broader peak means lower signal intensity at the detector, even though the same total amount of analyte was injected. Sensitivity drops, signal transfer is less efficient, and peptide IDs that were always in your sample never make it cleanly through.

What does good chromatography actually look like?

If you’ve been running familiar cassette columns reliably, routinely, and without obvious problems, there’s a reasonable chance you don’t know what you’re missing.

After all, missing peptide IDs don’t announce themselves. A retention time that drifts slightly across a long sequence can be explained away. A run that needs repeating gets repeated. A coverage number that feels acceptable stays acceptable, because you’ve never seen the same sample run without the constraint.

So what does good chromatography actually look like?

Sharp, symmetrical peaks. A stable baseline. Consistent retention across the run. If that looks meaningfully different from what you see in your own data, the gap is almost certainly in the column. Specifically, at the junction between the packed bed and the emitter.

Independent comparisons between Aurora Series® and cassette columns from other suppliers have shown 10–30% more peptide IDs from the same sample, on the same instrument, with the same gradient. The range reflects real-world variation across sample types, gradient lengths, and instrument configurations. But the direction is consistent. 10–30% more peptide IDs is a meaningful gain at worst, and changes what a study can conclude at best.

Aurora Series® base peak chromatogram; sharp, symmetrical peaks (median asymmetry factor =1), stable baseline, consistent retention. Does your chromatography look like this?
Methods: Example peptides were identified across the 60 min 1.5 μl/min condition. 100 ng of HeLa tryptic digest was introduced on an UltiMate 3000 LC, separated on a 25 cm x 150 μm Aurora® Ultimate™ column and Bruker Impact II Mass Spectrometer. Solvents were 0.1% formic acid as solvent A and 99.9% Acetonitrile as solvent B. Capillary voltage was set to 1800V, m/z range 200-2000. With AutoMS/MS on, and cycle time 0.5 sec.

For researchers running large cohorts, that difference compounds: The same sample volume produces a more complete picture. More biological signal makes it through cleanly – peptide IDs that were always in your sample now actually reach the detector. Across a study, that means deeper coverage, stronger statistics, and conclusions built on more of the biology that was available to you all along.

“We consistently obtain ~8,300–8,500 protein IDs using 200 ng HeLa QC samples on our Aurora® Ultimate(™) 25×150 XT, compared with ~6,300 with our previous columns. The combination of higher protein identifications and excellent column longevity reduces operating costs and increases our confidence in detecting biologically relevant proteins, enabling discoveries that might otherwise have been missed.” – Juan Liu, Howard Hughes Medical Institute (HHMI)/WashU Medicine mass spec lab manager

You upgraded your instrument. Why not your column?

Improving proteomics performance doesn’t always require a new instrument, a new method, or a major workflow change. Sometimes, the biggest improvement starts with the column. The instruments your lab has already invested in are exceptionally capable. Your column decides how much of their sensitivity and resolution your data actually reflects.

Same format. Very different inside.

Aurora Series® uses the same familiar cassette format, while taking a structurally different approach to the emitter problem. Rather than concealing the junction inside a product assembly, the emitter is pulled directly from the analytical column itself. There is no post-column junction. There is no union. There is no dead volume after the packed bed. The separation ends and the spray begins at exactly the same point, because they are the same piece of fused silica.

Aurora Series® column shown in profile, spliced to reveal the true integrated emitter. The emitter is pulled directly from the column fused silica – no junction, no union, no post-column dead volume.

This is a manufacturing distinction, not a marketing one, and it has measurable consequences for what happens between your column and your detector. Aurora Series® performance is documented across a growing library of application notes and technical notes, covering instruments, sample types and gradient conditions.

A TRULY-integrated pulled emitter: What it means in practice.

The emitter is formed from the same fused silica as the column. Separation ends and spray begins at the same point, with no intervening volume. Peaks stay sharp. Signal transfer is maximised. What you separate is what the MS sees.

Beyond sensitivity, stable retention behaviour across long sequences reduces the method maintenance burden for core facilities running high sample volumes. Consistent peak shape simplifies quantitation. And because the column design is not tied to a proprietary source system, Aurora Series® works with the LC-MS setup your lab already runs, without requiring workflow changes to see the performance difference.

For newer MS users, the setup confidence that the cassette format always promised is fully delivered. For experienced users, the performance ceiling the junction was quietly imposing is gone.

“With previous columns, the analytical depth we currently achieve would have been difficult to reach in single-cell proteomics and in phosphoproteomics analysis with very limited sample amounts. The reproducibility and improved analytical depth of Aurora Series® columns are key to most of my sensitive workflows – they’ve enabled a lot of sensitive proteomics applications at great depth and reproducibility from column to column. For a while now, those are the only columns that I’ve been using.” – Pierre Sabatier, Postdoctoral Researcher, Department of Surgical Sciences, Uppsala University

The costs that don’t appear on any invoice.

Every failed run has a cost. Every repeat analysis consumes sample, instrument time and staff capacity. Every hour spent troubleshooting is time not spent generating insight. But the real cost of your column isn’t on the invoice: The repeat isn’t triggered by an error, but by a dataset that isn’t quite enough, and the cause never gets questioned because nothing obviously went wrong.

None of these show up as a line item. They accumulate silently – in overtime hours, in delayed publications, in instrument availability numbers that should be higher, in capital investment conversations that happen earlier than they need to.

Aurora Series® reduces that cost. More IDs per run means each replicate captures more of the biology that’s present in the sample. The proteins and peptides you consistently miss are absent from your results and, thereby, from your conclusions. Higher coverage per run reduces that blind spot. Stable retention means less time spent managing method drift. A genuinely integrated emitter means fewer variables to control when something does not behave as expected.

For core facilities managing high sample volumes across multiple users, the compounding effect of that stability is particularly significant. Application support from IonOpticks is also designed to reduce the early-stage friction that comes with any column transition – optimised methods, direct access to applications expertise, and a faster path to confident results from the first run. That makes the economics even more compelling. And the economics extend to column lifetime:

“When we prepare the sample well, we can easily run a couple thousand samples on a single column. At that level, it becomes incredibly cost effective. What I also love about Aurora columns is we just stick them on, we take them off, we stick them on, we take them off, and they just run. The chromatography looks exactly the same as before we took it off.” – Luke Gamon, Assistant Professor, University of Copenhagen

That longevity changes the cost-per-result calculation considerably, particularly for labs running high sample volumes. Fewer replacements across a project means lower consumable spend and less method revalidation time, both of which compound significantly at core facility scale.

If the setup was always good enough, why change now?

The question isn’t whether your current workflow works. It’s whether it still gives you the best possible result.

The cassette format was good enough for what proteomics required when it launched. The instruments of that era, the cohort sizes, the depth of coverage expected, the publication benchmarks – all of those set a context in which ‘simplified setup with acceptable performance’ was a meaningful value proposition.

That context has changed. Instruments are faster and more sensitive. Workflows are more demanding. The depth of coverage that defines a competitive dataset today is higher than it was over a decade ago. Core facilities are running longer sequences with more samples and tighter reproducibility requirements. Pharma and biopharma users are making decisions on data that needs to be unambiguously defensible.

In that environment, a column designed around setup simplicity, whose integrated appearance concealed rather than removed a performance compromise, is a different product than it was at launch. The bar has moved. Your column hasn’t changed. Your instrument hasn’t changed. Your ambitions for your data probably have. That gap is worth closing.

Making the switch is EASY.

It’s easy to stay with a familiar consumable. But what if switching was both easy and worth it? The transition to Aurora Series® is straightforward. The column is designed to work with existing nano LC and MS setups without requiring changes to your source configuration or LC method. Most labs see performance differences from the first run. It’s why Aurora Series® is now the fastest-growing nano column in academic proteomics by citation count: more labs are publishing results they’re confident enough to put their name on

If you want to understand compatibility with your specific setup before committing, our applications team can walk through your workflow directly and see whether Aurora Series® makes sense for what your lab is actually running.

“Aurora Series® columns are so robust that we’re now expanding. We used Aurora columns with our timsTOFs. Now, we’re switching all our Orbitraps to IonOpticks” – Karl Krull, Postdoctoral Researcher, DKFZ German Cancer Research Centre

“Tools, including IonOpticks columns, have made it possible to ask and answer questions that seemed unreachable just a few years ago.” – Mariya Mardamshina, Postdoctoral Research Fellow, Stanford University

Better chromatography is not a platform decision. It is not a budget conversation or a workflow overhaul. It is one column, in the same cassette format you already use, with a fundamentally different inside. The questions your data hasn’t been able to answer yet may already be in your samples. Aurora Series® is built to help you find them.