4.8 Article

Structural Elucidation of Agrochemicals and Related Derivatives Using Infrared Ion Spectroscopy

期刊

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.2c03210

关键词

infrared ion spectroscopy; mass spectrometry; azoxystrobin; benzovindiflupyr; agrochemicals; transformation products

资金

  1. Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)
  2. NWO Division Exact and Natural Sciences [TTW 15769, 2021.055]
  3. European Union's Horizon 2020 research and innovation program [828753]

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Agrochemicals undergo various chemical and metabolic transformations in the environment, resulting in a wide range of derivatives. In this study, the alternative method of infrared ion spectroscopy is used to identify hydroxylated derivatives of plant protection compounds in food samples.
Agrochemicals frequently undergo various chemical and metabolic transformation reactions in the environment that often result in a wide range of derivates that must be comprehensively characterized to understand their toxicity profiles and their persistence and outcome in the environment. In the development phase, this typically involves a major effort in qualitatively identifying the correct chemical isomer(s) of these derivatives from the many isomers that could potentially be formed. Liquid chromatography-mass spectrometry and nuclear magnetic resonance (NMR) spectroscopy are often used in attempts to characterize such environment transformation products. However, challenges in confidently correlating chemical structures to detected compounds in mass spectrometry data and sensitivity/selectivity limitations of NMR frequently lead to bottlenecks in identification. In this study, we use an alternative approach, infrared ion spectroscopy, to demonstrate the identification of hydroxylated derivatives of two plant protection compounds (azoxystrobin and benzovindiflupyr) contained at low levels in tomato and spinach matrices. Infrared ion spectroscopy is an orthogonal tandem mass spectrometry technique that combines the sensitivity and selectivity of mass spectrometry with structural information obtained by infrared spectroscopy. Furthermore, IR spectra can be computationally predicted for candidate molecular structures, enabling the tentative identification of agrochemical derivatives and other unknowns in the environment without using physical reference standards.

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