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An UPLC‐MS 3 Method for Rapid Separation and Determination of Four Tobacco‐specific Nitrosamines in Mainstream Cigarette Smoke
Author(s) -
Ding Yu,
Yang Jun,
Zhu WenJing,
Wang ChengHui,
Zhu DongLiang,
Su QingDe
Publication year - 2011
Publication title -
journal of the chinese chemical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.329
H-Index - 45
eISSN - 2192-6549
pISSN - 0009-4536
DOI - 10.1002/jccs.201190104
Subject(s) - chemistry , chromatography , sidestream smoke , cigarette smoke , ammonium acetate , detection limit , high performance liquid chromatography , reproducibility , mass spectrometry , elution , analytical chemistry (journal) , smoke , biology , toxicology , organic chemistry
An ultra‐high‐pressure liquid chromatography/MS 3 (UPLC‐MS 3 ) method has been developed and validated for the quantitative determination of four major TSNAs in mainstream cigarette smoke using MS 3 scan mode on a hybrid triple quadrupole‐linear ion trap mass spectrometer. The new method combining the UPLC with MS 3 scan mode offers decreased sample analysis time and good selectivity. After mainstream cigarette smoke was collected on a Cambridge filter pad, the particulate matter was extracted with ammonium acetate solution and analyzed by UPLC‐MS 3 using isotopically labeled analogues as internal standards. Four TSNAs were completely separated on an Agilent XDB‐C 18 UPLC column using isocratic elution during a 6 min LC run time. Excellent linearity was obtained over the concentration range of 1.0‐150.0 ng/mL for all TSNAs with values for correlation coefficient (r) between 0.9985‐0.9994. Limits of detection (LOD) of each TSNA varied from 0.023 to 0.067 ng/mL, and lower limits of quantification (LLOQ) varied from 0.077 to 0.223 ng/mL, respctively. The recovery of each TSNA was from 89.2 to 106.8%. The method achieved excellent reproducibility with RSD 2.1‐6.8% for intra‐assay and 3.4‐9.1% for inter‐assay. This method can be used as an effective approach to significantly improve the detection capability for TSNAs in complex matrices.