Evaluation of GC-EI&CI-TOFMS for Nontarget Analysis of Industrial Wastewater Using Hydrophilic-Lipophilic-Balanced SPME.
Lucie K TintropSteffen BräklingMarleen VetterWilli EßerFelix DreesAmir SalemiMaik A JochmannSonja KleeTorsten Claus SchmidtPublished in: Analytical chemistry (2024)
The evaluation of nontarget analysis (NTA) techniques for the monitoring of wastewater is important as wastewater is an anthropogenic pollution source for aquatic ecosystems and a threat to human and environmental health. This study presents the proof-of-concept NTA of industrial wastewater samples. A prototype hydrophilic-lipophilic-balanced (HLB) SPME and gas chromatography interfaced with time-of-flight high-resolution mass spectrometry (GC-TOFMS) with electron ionization (EI) and chemical ionization (CI) in parallel are employed. The HLB-SPME consists of a poly(divinylbenzene- co - N -vinylpyrrolidone) structure, allowing the extraction of hydrophilic as well as lipophilic substances. As the combination of parallel CI and EI data provides a comprehensive data set as a unique feature, this study is strongly focused on the compound identification procedure and confidence reporting of exemplary substances. Furthermore, the use of three different CI reagent ions, including [N 2 H] + /[N 4 H] + , [H 3 O] + , and [NH 4 ] + , enables a broad range of analytes to be ionized in terms of selectivity and softness. The complementary information provided by EI and CI data allows a level 3 identification or higher in 69% of cases. The polarity coverage based on the physicochemical properties of the analytes (such as volatility, water solubility, hydrophilicity, and lipophilicity) was visualized by using Henry's law and octanol-water partitioning constants. In conclusion, the presented approach is shown to be valuable for water analysis and allows enhanced and accelerated compound identification compared to utilizing only one type of ionization.
Keyphrases
- gas chromatography
- high resolution mass spectrometry
- liquid chromatography
- mass spectrometry
- tandem mass spectrometry
- wastewater treatment
- solid phase extraction
- ultra high performance liquid chromatography
- heavy metals
- gas chromatography mass spectrometry
- electronic health record
- big data
- anaerobic digestion
- risk assessment
- healthcare
- drinking water
- human health
- endothelial cells
- climate change
- minimally invasive
- machine learning
- high resolution
- particulate matter
- health information
- emergency department
- deep learning
- air pollution
- adverse drug
- health promotion