title: Automated identification of toxic substances in poisoned human fluids by a retention prediction system in reversed-phase liquid chromatography.
abstract: An automated identification system based on the retention prediction concept has been constructed for toxic substances. The system performance has been evaluated for the identification of toxic compounds in poisoned human fluids.
authors: School of Materials Science, Toyohashi University of Technology, Japan.
authors: K
authors: K
authors: Jinno
authors: M
authors: M
authors: Kuwajima
authors: M
authors: M
authors: Hayashida
authors: T
authors: T
authors: Watanabe
authors: T
authors: T
authors: Hondo
mesh_terms: D001322:Autoanalysis; D002853:Chromatography, Liquid; D005260:Female; D005766:Gastrointestinal Contents / Q000032:analysis; D006801:Humans; D011042:Poisons / Q000032:analysis* / Q000097:blood / Q000652:urine; D013056:Spectrophotometry, Ultraviolet
chemical_list: D011042:Poisons