Reliable prediction of sensory irritation threshold values of organic compounds using new models based on linear free energy relationships and GC×GC retention parameters.

Aakash, Ahmad; Nabi, Deedar

Aakash, Ahmad; Nabi, Deedar.

Afiliação

Aakash A; Institute of Environmental Science and Engineering (IESE), School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), H-12, Islamabad, Pakistan; Environment and Agriculture Laboratory, School of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences and Technology (NUST), H-12, Islamabad, Pakistan.
Nabi D; Institute of Environmental Science and Engineering (IESE), School of Civil and Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), H-12, Islamabad, Pakistan; Environment and Agriculture Laboratory, School of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences and Technology (NUST), H-12, Islamabad, Pakistan. Electronic address: deedar.nabi@iese.nust.edu.pk.

Chemosphere ; 313: 137339, 2023 Feb.

Article em En | MEDLINE | ID: mdl-36423720

Assuntos

Poluentes Atmosféricos; Compostos Orgânicos; Humanos; Compostos Orgânicos/química; Água/química; Poluentes Atmosféricos/análise; Octanóis; Modelos Lineares

Palavras-chave

EPI-Suite™; Eye irritation; GC×GC; Nasal pungency; Odor thresholds; Upper respiratory irritation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Compostos Orgânicos / Poluentes Atmosféricos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Chemosphere Ano de publicação: 2023 Tipo de documento: Article

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