Sensitive and High-Throughput Analysis of Volatile Organic Species of S, Se, Br, and I at Trace Levels in Water and Atmospheric Samples by Thermal Desorption Coupled to Gas Chromatography and Inductively Coupled Plasma Mass Spectrometry.
Zoé Le BrasSylvain BouchetLenny H E WinkelPublished in: Analytical chemistry (2023)
Emissions of volatile organic sulfur (S), selenium (Se), bromine (Br), and iodine (I) species from aquatic ecosystems represent an important source of these elements into the atmosphere. Available methods to measure these species are either not sensitive enough or not automated, which hinder a full understanding of species distribution and production mechanisms. Here, we present a sensitive and high-throughput method for the simultaneous and comprehensive quantification of S, Se, Br, and I volatile organic species in atmospheric and aqueous samples using a preconcentration step onto sorbent tubes and subsequent analysis by thermal desorption coupled to gas chromatography and inductively coupled plasma mass spectrometry (TD-GC-ICP-MS). Selected commercially available sorbent tubes, consisting of mixed porous polymer and graphitized black carbon, offered the highest trapping capacity and lowest loss of species when stored at -20 °C for 28 days after sampling. After optimization of the TD-GC-ICP-MS method, absolute detection limits were better than 3.8 pg, 9.1 fg, 313 fg, and 50 fg, respectively, for S, Se, Br, and I species. As a proof of concept, the concentrations of target species were determined in aqueous and continuously collected atmospheric samples during a cruise in the Baltic and North Seas. Moreover, unknown S, Br, and I volatile species were detected in both aqueous and atmospheric samples demonstrating the full potential of the method.
Keyphrases
- gas chromatography
- mass spectrometry
- tandem mass spectrometry
- liquid chromatography
- high resolution mass spectrometry
- high throughput
- capillary electrophoresis
- high performance liquid chromatography
- solid phase extraction
- gas chromatography mass spectrometry
- particulate matter
- high resolution
- ionic liquid
- genetic diversity
- multiple sclerosis
- machine learning
- climate change
- single cell
- magnetic resonance imaging
- computed tomography
- deep learning
- carbon dioxide
- data analysis
- sensitive detection