ArticleAngewandte Chemie (International ed. in English)2025
Building a Bridge Between Ambient MS and LC-MS by Non-Exhaustive Microdesorption.
Article in Angewandte Chemie (International ed. in English), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Building a Bridge Between Ambient MS and LC-MS by Non-Exhaustive Microdesorption.Angewandte Chemie (International ed. in English) · 2025Article
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Authors and funding
2 authors.
Funding
Abstract
Ambient mass spectrometry (AMS) offers rapid screening but faces challenges in analyzing complex samples due to high matrix effects. The absence of a separation step can also lead to false positives due to the isomers or isobars. In this study, a sequential analysis strategy which combines ambient MS and LC-MS based on the non-exhaustive microdesorption in solid-phase microextraction (SPME) was developed for the first time. By combining coated blade spray (CBS)-MS with LC-MS, in the first step, a few microliters of solvent were used for non-exhaustive desorption with high enrichment factor for rapid screening by CBS-MS. For the suspicious samples, the remaining analytes on the SPME coating undergo exhaustive desorption, then followed by LC-MS confirmation. The matrix-compatible coating used in the SPME device significantly reduces matrix effects while enhancing sensitivity through analyte enrichment. This method is environmentally friendly, utilizing only a few microliters of organic solvents for screening. The approach was rigorously validated, both theoretically and experimentally, and successfully applied to anti-doping testing, enabling detection of 53 prohibited substances in urine samples by integrating CBS-MS with LC-MS.
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Registered trials
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