Stable Isotopic Labeling and Nontarget Identification of Nanogram/Liter Amino Contaminants in Water.
Zhongshan LiuCaley B CravenGuang HuangPing JiangDi WuXing-Fang LiPublished in: Analytical chemistry (2019)
We report a new combinatorial approach of stable isotopic labeling (SIL)-solid phase extraction (SPE)-liquid chromatography-tandem high-resolution mass spectrometry (LC-HRMS/MS) for identification of amino-containing contaminants at trace levels in source water. The new SIL method requires small amounts of formaldehyde (CH2O) and deuterated formaldehyde (CD2O) to efficiently label ng/L amino compounds in 1 L of water and improves SPE recovery, enabling environmental analysis of trace amino-compounds. Isotopically methylated components were confirmed using LC-MS/MS based on their retention times, and characteristic isotope patterns of the molecular and product ions. Using the characteristic isotope patterns, we established a data prioritization process to identify the amino compounds in thousands of mass peaks in raw data. Analysis of a labeled authentic source water detected 8952 m/z peaks and tentatively identified 154 amino compounds. Our SIL-methylation prioritization approach effectively reduced the complexity of data. Manual spectrum interpretation identified 77 of the 154 components as amino acids and peptides. We confirmed 8 of the 77 compounds using commercially available standards to demonstrate the feasibility and reliability of our SIL-SPE-LC-HRMS/MS method for environmental analysis of trace amino-containing contaminants. The method can efficiently identify amino-precursors in source water, enabling other studies of nitrogenous disinfection byproduct formation.
Keyphrases
- liquid chromatography
- high resolution mass spectrometry
- solid phase extraction
- mass spectrometry
- gas chromatography
- tandem mass spectrometry
- ms ms
- ultra high performance liquid chromatography
- simultaneous determination
- liquid chromatography tandem mass spectrometry
- high performance liquid chromatography
- molecularly imprinted
- drinking water
- electronic health record
- gas chromatography mass spectrometry
- heavy metals
- multiple sclerosis
- big data
- gene expression
- room temperature
- high resolution
- dna methylation
- machine learning
- data analysis
- bioinformatics analysis