Non-target data acquisition for target analysis (nDATA) of 845 pesticide residues in fruits and vegetables using UHPLC/ESI Q-Orbitrap.
Jian WangWillis ChowJon W WongDaniel LeungJames ChangMengmeng LiPublished in: Analytical and bioanalytical chemistry (2019)
A non-target data acquisition for target analysis (nDATA) workflow based on accurate mass measurements using UHPLC/ESI Q-Orbitrap full MS-data-independent acquisition and a compound database was developed to screen pesticide residues in fruit and vegetable samples. The compound database of 845 pesticides was built from dd-MS2 (data-dependent acquisition) product ion spectral data and LC retention times of individual pesticide standards. MS2 spectra of samples were acquired using multiplexing data-independent acquisition (mDIA) and variable data-independent acquisition (vDIA). Screening of pesticides in samples was based on either the retention time (± 0.5 min) and the mass accuracy (± 5 ppm) of a precursor (RTP by full MS) or the retention time (± 0.5 min) and the mass accuracy (± 5 ppm) of a precursor and its fragment ion (RTFI by full MS/DIA). In validation studies involving mDIA and vDIA analysis of 10 fruits and vegetables spiked with pesticides prior to QuEChERS sample preparation, RTP correctly found up to 765 and 796 pesticides at 10 and 100 μg/kg, respectively, whereas RTFI correctly identified up to 729 and 764 pesticides at the same respective concentrations. UHPLC/ESI Q-Orbitrap full MS/mDIA or vDIA proved to be a comprehensive detection technique and has potential for pesticide residue screening in fruits and vegetables. Graphical Abstract.
Keyphrases
- ms ms
- mass spectrometry
- risk assessment
- electronic health record
- gas chromatography
- ultra high performance liquid chromatography
- big data
- multiple sclerosis
- liquid chromatography
- high resolution mass spectrometry
- tandem mass spectrometry
- liquid chromatography tandem mass spectrometry
- high resolution
- human health
- simultaneous determination
- emergency department
- data analysis
- high performance liquid chromatography
- computed tomography
- adverse drug
- gas chromatography mass spectrometry
- climate change
- artificial intelligence