Non-analyte signals and supervised learning to evaluate matrix effects and predict analyte recoveries in inductively coupled plasma optical emission spectrometry
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DOI: 10.1039/d0ja00007h
Abstract: A supervised data-driven methodology was used to evaluate matrix effect severity and the consequent analytical signal bias caused by easily ionizable elements (EIEs) in inductively coupled plasma optical emission spectrometry (ICP OES). Eight different supervised… read more here.
Keywords: spectrometry; plasma optical; coupled plasma; matrix ... See more keywords