Low-cost heat assisted ambient ionization source for mass spectrometry in food and pharmaceutical screening.
Odhisea GazeliEfstathios A EliaNikolaos ArgirusisConstantinos LazarouCharalambos AnastassiouJoachim FranzkeJuan F García-ReyesGeorge E GeorghiouAgapios AgapiouPublished in: The Analyst (2024)
Ambient Ionization Mass Spectrometry (AI-MS) techniques have revolutionized analytical chemistry by enabling rapid analysis of samples under atmospheric conditions with minimal to no preparation. In this study, the optimization of a cold atmospheric plasma for the analysis of food and pharmaceutical samples, liquid and solid, using a Heat-Assisted Dielectric Barrier Discharge Ionization (HA-DBDI) source is described. A significant enhancement in analyte signals was observed when a heating element was introduced into the design, potentially allowing for greater sensitivity. Furthermore, the synergy between the inlet temperature of the mass spectrometer and the heating element allows for precise control over the analytical process, leading to improved detection sensitivity and selectivity. Incorporating computational fluid dynamic (CFD) simulations into the study elucidated how heating modifications can influence gas transport properties, thereby facilitating enhanced analyte detection and increased signal intensity. These findings advance the understanding of HA-DBDI technology and provide valuable insights for optimizing AI-MS methodologies for a wide range of applications in food and pharmaceutical analysis.
Keyphrases
- mass spectrometry
- gas chromatography
- liquid chromatography
- particulate matter
- low cost
- high resolution
- loop mediated isothermal amplification
- air pollution
- multiple sclerosis
- high performance liquid chromatography
- artificial intelligence
- ms ms
- heat stress
- tandem mass spectrometry
- human health
- carbon dioxide
- ionic liquid
- sensitive detection
- room temperature