Arsenolipids are a class of lipid-soluble
arsenic species. They
are present in seafoods and show high potentials of cytotoxicity and
neurotoxicity. Hindered by traditional low-throughput analytical techniques,
the characterization of arsenolipids is far from complete. Here, we
report on a sensitive and high-throughput screening method for arsenolipids
in krill oil, tuna fillets, hairtail heads, and kelp. We demonstrate
the detection and identification of 23 arsenolipids, including novel
arsenic-containing fatty acids (AsFAs), hydroxylated AsFAs, arsenic-containing
hydrocarbons (AsHCs), hydroxylated AsHCs, thiolated trimethylarsinic
acids, and arsenic-containing lysophosphatidylcholines not previously
reported. The new method incorporated precursor ion scan (PIS) into
data-independent acquisition. High-performance liquid chromatography
(HPLC) electrospray ionization quadrupole time-of-flight mass spectrometry
(ESI–qToF–MS) was used to perform the sequential window
acquisition of all theoretical spectra (SWATH). Comprehensive HPLC–MS
and MS/MS data were further processed using a fragment-guided chromatographic
computational program
Precursorfinder
developed here.
Precursorfinder
achieved efficient peak-picking, retention
time comparison, hierarchical clustering, and wavelet coherence calculations
to assemble fragment features with their target precursors. The identification
of arsenolipids was supported by coeluting the HPLC–MS peaks
detected with the characteristic fragments of arsenolipids. Method
validation using available arsenic standards and the successful identification
of previously unknown arsenolipids in seafood samples demonstrated
the applicability of the method for environmental research.