Statistical approaches for LC-HRMS data to characterize, prioritize, and identify transformation products from water treatment processes

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Schollée, J., Schymanski, E. L., & Hollender, J. (2016). Statistical approaches for LC-HRMS data to characterize, prioritize, and identify transformation products from water treatment processes. In J. E. Drewes,J.E. & T. Letzel (Eds.), ACS Symposium Series: Vol. 1241. Assessing transformation products of chemicals by non-target and suspect screening – strategies and workflows. https://doi.org/10.1021/bk-2016-1241.ch004