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◆ Environmental Science & Technology2026-02-10· Isotopologue

Are We Characterizing the True Peaks of Disinfection Byproducts? Establishment of a Rapid and Accurate <sup>14/15</sup> N-HaloFormula Methodology for FT-ICR-MS

Yingying Xiang, Michael Gonsior, Schmitt-Kopplin Philippe, Chii Shang

原始摘要(英文原文)· Original abstract
Ultrahigh-resolution mass spectrometry offers exceptional resolving power, yet formula assignment, particularly for nitrogenous disinfection byproducts (N-DBPs), remains challenged by the limited isotopic signature of 15 N and elemental ambiguities. We developed HaloFormula, a software for high-confidence formula assignment of dissolved organic matter (DOM) and DBPs. The workflow integrates candidate selection from a newly constructed formula database, dynamic in situ generation of an isotope matrix database, and formula assignment based on spectral similarity indices, achieving high computational efficiency and assignment accuracy. By incorporating a dual-isotope labeling strategy using equimolar 14 N/ 15 N-labeled monochloramine, HaloFormula enhances assignment accuracy and enables differentiation of nitrogen origins. The method was validated across diverse FT-ICR-MS data sets, including DOM and model compounds treated by chlor(am)ination and UV-based processes. HaloFormula assigned 1,875 formulas for a Suwannee River Fulvic Acid data set, of which 937 exhibited 13 C isotopes. For halogenated compounds, over 900 Cl-containing formulas were assigned, with more than 1,400 isotopic peaks exhibiting accurate isotopic distributions. Up to 17 isotopologues were detected for individual N-DBPs due to enhanced 15 N detection from the dual-isotope labeling strategy, enabling unambiguous formula assignment and nitrogen origin tracking. This novel methodology is readily adaptable for elucidating nitrogen sources in other systems and extendable to broader elemental analyses.
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Are We Characterizing the True Peaks of Disinfection Byproducts? Establishment of a Rapid and Accurate <sup>14/15</sup> N-HaloFormula Methodology for FT-ICR-MS — 科研速览 Science Skim