Expert Algorithm for Substance Identification (EASI), United States, 2016-2017 (ICPSR 39098)
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Glen P. Jackson, West Virginia University
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This study aimed to develop an Expert Algorithm for Substance Identification (EASI) that will both improve the confidence of drug identifications from mass spectra and enable reliable inter-laboratory identifications without the need to acquire contemporaneous spectra of standards. The data included 303 replicates of cocaine and 10 replicates of cocaine compounds (diastereomers), and showed the variance observed in operational crime labs over the course of several months for different drug standards.