Breathing New Life into Diagnostics: Plasmion's SICRIT® Technology

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Breath Analysis News

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Revolutionizing Non-Invasive Diagnostics with Plasmion’s SICRIT Breath Analysis.

Sponsored Content by PlasmionJun 11 2024 Insights from IndustryJan Wolf Chief Technology OfficerPlasmion In this interview, we speak with Jan-C. Wolf, the Chief Technology Officer of Plasmion, a pioneering company in chemical analysis. With a deep commitment to simplifying mass spectrometry, Jan shares insights into Plasmion's groundbreaking SICRIT® technology, its integration with existing instruments, and its transformative applications across various industries.

SICRIT®: A new and unique miniaturized ion source technology #explanationvideo #massspectrometryPlay From a commercial perspective, what are the major benefits of adopting SICRIT technology? How does it compare in terms of cost-effectiveness and operational efficiency against traditional methods? Besides advantages such as increased sensitivity, an enhanced range of accessible analytes, soft ionization, and integration with every LC-MS system on the market, versatility is one of...

More specifically, could you please discuss the application of SICRIT in the direct analysis of exhaled breath? How does the SICRIT system facilitate the discovery and analysis of biomarkers in breath? Can you share an example of how this technology has led to a significant finding? The SICRIT Breath Analysis Module is designed for direct exhaled breath measurements and real-time monitoring.

This vast array of molecules gives doctors insights into multiple metabolic pathways. Of course, significant statistical analysis is required to validate these biomarkers, but because SICRIT can access thousands of biomarkers in just a 10-second analysis, it offers a significant advantage over traditional blood analysis.

Additionally, we needed to develop a method to standardize the exhalation process. This involved hardware integration with specific valve settings in the SICRIT breath sampling device to ensure comparable results between patients and provide reliable and robust quantification across different individuals.

 

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