The Analytical Scientist
This initial editorial outlines the goals and aspirations of the publication and its website.
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Articles
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2 weeks ago |
theanalyticalscientist.com | Frank van Geel |James Strachan
After a pandemic-induced pause, Riva del Garda (Italy) will once again play host to the (44th) International Symposium on Capillary Chromatography and the (21st) GC×GC Symposia, on May 17–22, 2026. Long-time leader of the event Luigi Mondello shares the driving forces behind the relaunch: a surge in chromatographic innovation, a need for in-person exchange, and a global community eager to reconnect – especially at Riva del Garda. Why have you decided to restart the Riva conference?
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2 weeks ago |
theanalyticalscientist.com | James Strachan
The debate over the role of in-source fragmentation (ISF) in untargeted metabolomics continues.
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2 weeks ago |
theanalyticalscientist.com | James Strachan
Following The Analytical Scientist’s interviews with Pieter Dorrestein and Yasin El Abiead, and responses from Martin Giera and Gary Siuzdak, Shuzhao Li offers a clarifying perspective on the role of in-source fragmentation in untargeted metabolomics. For Li – whose recent preprint surveys LC-MS data from human plasma and serum – the real story is less about conflict and more about context.
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3 weeks ago |
theanalyticalscientist.com | Jessica Allerton
Scientists have been looking for the key to improved cancer diagnostics since its conception, but have we been searching in the wrong places? Researchers at the University of California San Diego have found success in taking inspiration from butterfly wings. Using the microscopic structures found on Morpho butterfly wings, the team have developed a simple and cost effective solution to analyze cancerous tissues.
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3 weeks ago |
theanalyticalscientist.com | James Strachan
In the spring of 2024, Martin Giera, Aries Aisporna, Winnie Uritboonthai, and Gary Siuzdak published a paper arguing that in-source fragmentation (ISF) – the fragmentation of analytes during the initial ionization process within the ESI source – accounts for over 70 percent of the peaks observed in typical LC-MS/MS metabolomic datasets. “This finding disrupts the prevailing assumption that the majority of peaks in mass spectra correspond to unique metabolites,” the authors wrote.
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