| Literature DB >> 25935159 |
Hsiu-Chuan Liu1, Hsi-Tzu Lee1, Ya-Ching Hsu2, Mei-Han Huang2, Ray H Liu3, Tai-Jui Chen4, Dong-Liang Lin5.
Abstract
A rapid and sensitive liquid chromatography-tandem mass spectrometry (LC-MS-MS) method was developed, validated and applied to simultaneous analysis of oral fluid samples for the following 10 analytes: methadone, 2-ethylidene-1,5-dimethyl-3,3-diphenylpyrrolidine (EDDP), buprenorphine, norbuprenorphine, morphine, codeine, 6-acetylmorphine, 6-acetylcodeine, amphetamine, and methamphetamine. The oral fluid sample was briefly centrifuged and the supernatant was directly injected into the LC-MS-MS system operated under reverse-phase chromatography and electrospray ionization (ESI). Deuterated analogs of the analytes were adopted as the internal standards and found to be effective (except for buprenorphine) to compensate for potential matrix effects. Each analytical run took <10 min. Linearity range (r(2) > 0.99) established for buprenorphine and the other nine analytes were 5-100 and 1-100 ng/mL. Intra- and interday precision (% CV) ranges for the 10 analytes were 0.87-12.2% and 1.27-12.8%, while the corresponding accuracy (%) ranges were 91.8-113% and 91.9-111%. Limits of detection and quantitation established for these 10 analytes were in the ranges of 0.1-1.0 and 0.25-1.0 ng/mL (5 ng/mL for buprenorphine). The method was successfully applied to the analysis of 62 oral fluid specimens collected from patients participating in methadone and buprenorphine substitution therapy programs. Analytical results of methadone and buprenorphine were compared with data derived from GC-MS analysis and found to be compatible. Overall, the direct injection LC-MS-MS method performed well, permitting rapid analysis of oral fluid samples for simultaneous quantification of methadone, buprenorphine, opiate and amphetamine drug categories without extensive sample preparation steps.Entities:
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Year: 2015 PMID: 25935159 DOI: 10.1093/jat/bkv041
Source DB: PubMed Journal: J Anal Toxicol ISSN: 0146-4760 Impact factor: 3.367