Characterizing the Stoichiometry of Individual Metal Sulfide and Phosphate Colloids in Soils, Sediments, and Industrial Processes by Inductively Coupled Plasma Time-of-Flight Mass Spectrometry.
Jonas WielinskiXiaopeng HuangGregory V LowryPublished in: Environmental science & technology (2024)
Size and purity of metal phosphate and metal sulfide colloids can control the solubility, persistence, and bioavailability of metals in environmental systems. Despite their importance, methods for detecting and characterizing the diversity in the elemental composition of these colloids in complex matrices are missing. Here, we develop a single-particle inductively coupled plasma time-of-flight mass spectrometry (sp-icpTOF-MS) approach to characterize the elemental compositions of individual metal phosphate and sulfide colloids extracted from complex matrices. The stoichiometry was accurately determined for particles of known composition with an equivalent spherical diameter of ≥∼200 nm. Assisted by machine learning (ML), the new method could distinguish particles of the copper sulfides covellite (CuS), chalcocite (Cu 2 S), and chalcopyrite particles (CuFeS 2 ) with 75% (for Cu 2 S) to 99% (for CuFeS 2 ) accuracy. Application of the sp-icpTOF-MS method to particles recovered from natural samples revealed that iron sulfide (FeS) particles in lake sediment contained ∼4% copper and zinc impurities, whereas pure pyrite (FeS 2 ) was identified in hydraulic fracturing wastewater and confirmed by selected area electron diffraction. Colloidal mercury in an offshore marine sediment was present as pure mercury sulfide (HgS), whereas geogenic HgS recovered from an industrial process contained ∼0.08 wt % silver per Hg, enabling source apportionment of these colloids using ML. X-ray absorption spectroscopy confirmed that Hg was predominantly present as metacinnabar (β-HgS) in the industrial process sample. The determination of impurities in individual colloids, such as zinc and copper in FeS, and silver in HgS may enable improved assessment of their origin, reactivity, and bioavailability potential.
Keyphrases
- heavy metals
- health risk assessment
- risk assessment
- health risk
- oxide nanoparticles
- human health
- machine learning
- wastewater treatment
- mass spectrometry
- high resolution
- ms ms
- aqueous solution
- polycyclic aromatic hydrocarbons
- fluorescent probe
- single cell
- big data
- magnetic resonance
- magnetic resonance imaging
- computed tomography
- electron microscopy
- high performance liquid chromatography
- artificial intelligence
- living cells
- air pollution
- contrast enhanced
- solar cells