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A rising star in food allergen research: proteomics of shellfish allergen

It’s important to know what you’re eating, especially if you suffer from a food allergy.

About 220 million people worldwide live with a food allergy.1 These numbers, along with the complexity and severity of conditions, continue to rise. In America, there are about 32 million food allergy sufferers—5.6 million of those are children under the age of 18.2.2 That’s 1 out of every 13 children, or about 2 in every classroom. From a financial perspective, the cost of food allergy childcare for US families is up to $25 billion

Overcoming uncertainty in your PFAS analysis

Overcoming uncertainty in your PFAS analysis

Just like gum on the bottom of a shoe, the existence of per- and poly-fluorinated alkyl substances (PFAS) in our environment is a sticky one. If you’re in the field of environmental testing, then you’re all too familiar with the threat these substances have on public health. While we have learned a lot about them over the years, there is still much more to understand. With the right detection methods, we can gather the information we need to empower us to make informed decisions on reducing the risks they impose.

Back to the new basics: Part 1 | Making the leap from GC-MS to LC-MS

Back to the new basics: Part 1 | Making the leap from GC-MS to LC-MS

Producing accurate results quickly in a demanding environment is no easy feat for analytical scientists. What’s more, many of us are constantly questioning ourselves—I certainly am—about whether we are employing the best technique for the analysis at hand.

It’s an overwhelming thought, considering the wide range of tools that are available to choose from, each of which offers varying levels of capacity, sensitivity, selectivity, specificity and cost. How do you meet the unique needs of your organization without breaking the bank? I get it, and I’m not here to convince you it’s easy. My aim is to guide you through the process to help you make the right decision for you.

MRM method transfer from a SCIEX Triple Quad or QTRAP 6500+ system to the SCIEX 7500 system

MRM method transfer from a SCIEX Triple Quad or QTRAP 6500+ system to the SCIEX 7500 system

General recommendations when beginning method development Objective: The purpose of this document is to provide a quick reference for transferring MRM-based quantification methods from a SCIEX Triple Quad or QTRAP 6500+ system to a SCIEX 7500 system. While the best...

Identifying the unknown PFAS profile in firefighting foams/AFFF

Identifying the unknown PFAS profile in firefighting foams/AFFF

According to a recent study from Harvard University, the US EPA, and NIEHS, traditional targeted analysis techniques poorly characterize the PFAS composition of contemporary PFAS-based firefighting foams, know as aqueous film-forming foams (AFFF).  Using the EPA 533 PFAS drinking water method for the analyte list, the researchers found that targeted mass spectrometry methods accounted for <1% of organic fluorine content.  This is important because it demonstrates that targeted analysis methods miss nearly all the PFAS compounds in modern AFFF mixtures, thus underestimating the risk to human health and the environment.

Assess the performance of the Echo® MS system

High level method optimization considerations for Echo MS system

While an in-depth discussion of method development and optimization for the Echo® MS system is beyond the scope of a community post, here are some points to consider as part of the process: The maximum recommended ion spray voltage for prolonged electrode life is 5000...

Industrialize Your Quantitative Proteomics Using a More Simplified Sample Prep

Industrialize Your Quantitative Proteomics Using a More Simplified Sample Prep

in part 1 and part 2 of this blog series we discussed how you can increase your efficiency for high throughput quantitative proteomics by industrializing your sample analysis and data processing. Microflow SWATH® Acquisition on your TripleTOF® system coupled with OneOmics™ data analysis tools allow you to run samples faster, collect data faster, and process your data files faster. It all adds up to getting more meaningful biological information in a shorter amount of time.

Industrialize Your Quantitative Proteomics Using a More Simplified Sample Prep

Industrialize Your Quantitative Proteomics with the OneOmics Project

For many labs, the days are long gone when it was acceptable to run only a few samples a week for your quantitative proteomics projects. The pressure for faster turn-around times, to support larger cohort studies, to sustain multiple research directions, and to transition from a purely unbiased discovery mode to verifying something truly unique and interesting, all demand a faster pace. Many labs are now being asked to analyze a hundred samples a week or more. In part 1 of this blog series, we saw how moving to a microflow SWATH workflow can dramatically increase your throughput with little compromise on overall results. In this part, we’ll address what to do with all of this data because it’s just no good if all we’ve done is move the bottleneck downstream.

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