Open AccessConcentration determination of urinary metabolites of N,N ‐dimethylacetamide by high‐performance liquid chromatography‐tandem mass spectrometry
Author(s) -
Yamamoto Shinobu,
Matsumoto Akiko,
Yui Yuko,
Miyazaki Shota,
Kumagai Shinji,
Hori Hajime,
Ichiba Masayoshi
Publication year - 2018
Publication title -
journal of occupational health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.664
H-Index - 59
ISSN - 1348-9585
DOI - 10.1539/joh.17-0098-oa
Subject(s) - chemistry , chromatography , formic acid , dimethylacetamide , mass spectrometry , tandem mass spectrometry , liquid chromatography–mass spectrometry , detection limit , aqueous solution , methanol , solvent , organic chemistry
Objectives N,N ‐Dimethylacetamide (DMAC) is widely used in industry as a solvent. It can be absorbed through human skin. Therefore, it is necessary to determine exposure to DMAC via biological monitoring. However, the precision of traditional gas chromatography (GC) is low due to the thermal decomposition of metabolites in the high‐temperature GC injection port. To overcome this problem, we have developed a new method for the simultaneous separation and quantification of urinary DMAC metabolites using liquid chromatography‐tandem mass spectrometry (LC‐MS/ MS). Methods Urine samples were diluted 10‐fold in formic acid, and 1‐μ l aliquots were injected into the LC‐MS/MS equipment. A C18 reverse‐phase Octa Decyl Silyl (ODS) column was used as the analytical column, and the mobile phase consisted of a mixture of methanol and aqueous formic acid solution. Results Urinary concentrations of DMAC and its known metabolites ( N hydroxymethyl‐ N ‐methylacetamide (DMAC‐OH), N methylacetamide (NMAC), and S ‐(acetamidomethyl) mercapturic acid (AMMA)) were determined in a single run. The dynamic ranges of the calibration curves were 0.05‐5 mg/ l ( r 0.999) for all four compounds. The limits of detection for DMAC, DMAC‐OH, NMAC, and AMMA in urine were 0.04, 0.02, 0.05, and 0.02 mg/ l , respectively. Within‐run accuracies were 96.5% ‐109.6% with relative standard deviations of precision being 3.43% ‐10.31%. Conclusions The results demonstrated that the proposed method could successfully quantify low concentrations of DMAC and its metabolites with high precision. Hence, this method is useful for evaluating DMAC exposure. In addition, this method can be used to examine metabolite behaviors in human bodies after exposure and to select appropriate biomarkers.