Clinical Validation of a Highly Sensitive GC-MS Platform for Routine Urine Drug Screening and Real-Time Reporting of up to 212 Drugs

• Published in: Journal of Toxicology Vol. 2013; no. 2013; pp. 85 - 91
• Main Authors: Nair, Hari, Woo, Fred, Hoofnagle, Andrew N., Baird, Geoffrey S.
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Limiteds 01.01.2013; Hindawi Puplishing Corporation; Hindawi Publishing Corporation; John Wiley & Sons, Inc; Wiley
• Subjects: Automation; Chromatography; Colleges & universities; Data processing; Data reduction; Design; Diagnosis; Drug therapy; Gas chromatography; Health aspects; Identification systems; Illegal drugs; Immunoassay; Instrumentation; Laboratories; Laws, regulations and rules; Mass spectrometry; Multiple sclerosis; Nonprescription drugs; Nursing homes; Software; Toxicology; Massachusetts
• ISSN: 1687-8191; 1687-8205; 1687-8205
• DOI: 10.1155/2013/329407

An important role of the clinical toxicology laboratory is to provide continuous diagnostic testing for patients with altered mental status and for other medical indications. To meet these needs, we have developed a new Gas Chromatography-Mass Spectrometry (GC-MS) platform that facilitates routine screening and automated reporting of 212 drugs by laboratory technologists around the clock without the need to sign out by an on-site mass spectrometry-trained toxicologist. The platform uses a programmable temperature vaporizer (PTV) injector for large sample volume injection and the free software Automated Mass Spectral Deconvolution and Identification System (AMDIS) for data reduction and spectral matching that facilitates rapid library searching and analyte identification. Method comparison with 118 patient samples demonstrated that this platform and data searching algorithm independently provided improvements in sensitivity compared to an established GC-MS platform. Further examination of the role of the data processing software and the in-house databases used in the established versus the new platform demonstrated that the improved analytical sensitivity of the new platform was attributed to both the technical superiority of the new GC-MS instrumentation and the use of AMDIS in conjunction with the newly generated in-house library for data processing.