A Direct Mass Spectrometry Method for the Rapid Analysis of Ubiquitous Tire-Derived Toxin N -(1,3-Dimethylbutyl)- N '-phenyl- p -phenylenediamine Quinone (6-PPDQ).
Joseph MonaghanAngelina JaegerAlon R AguaRyan S StantonMichael PirrungChris G GillErik T KroghPublished in: Environmental science & technology letters (2021)
The oxidative transformation product of a common tire preservative, identified as N -(1,3-dimethylbutyl)- N '-phenyl- p -phenylenediamine quinone (6-PPDQ), has recently been found to contribute to "urban runoff mortality syndrome" in Coho salmon at nanogram per liter levels. Given the number of fish-bearing streams with multiple stormwater inputs, large-scale campaigns to identify 6-PPDQ sources and evaluate mitigation strategies will require sensitive, high-throughput analytical methods. We report the development and optimization of a direct sampling tandem mass spectrometry method for semiquantitative 6-PPDQ determinations using a thin polydimethylsiloxane membrane immersion probe. The method requires no sample cleanup steps or chromatographic separations, even in complex, heterogeneous samples. Quantitation is achieved by the method of standard additions, with a detection limit of 8 ng/L and a duty cycle of 15 min/sample. High-throughput screening provides semiquantitative concentrations with similar sensitivity and a full analytical duty cycle of 2.5 min/sample. Preliminary data and performance metrics are reported for 6-PPDQ present in representative environmental and stormwater samples. The method is readily adapted for real-time process monitoring, demonstrated by following the dissolution of 6-PPDQ from tire fragments and subsequent removal in response to added sorbents.
Keyphrases
- liquid chromatography
- tandem mass spectrometry
- mass spectrometry
- high throughput
- high performance liquid chromatography
- solid phase extraction
- simultaneous determination
- ultra high performance liquid chromatography
- gas chromatography
- high resolution
- escherichia coli
- climate change
- type diabetes
- liquid chromatography tandem mass spectrometry
- coronary artery disease
- quantum dots
- ms ms
- single cell
- cardiovascular disease
- cross sectional
- electronic health record
- machine learning
- sensitive detection
- deep learning
- label free
- living cells