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Application of programmable bio-nano-chip system for the quantitative detection of drugs of abuse in oral fluids.
Christodoulides, Nicolaos; De La Garza, Richard; Simmons, Glennon W; McRae, Michael P; Wong, Jorge; Newton, Thomas F; Smith, Regina; Mahoney, James J; Hohenstein, Justin; Gomez, Sobeyda; Floriano, Pierre N; Talavera, Humberto; Sloan, Daniel J; Moody, David E; Andrenyak, David M; Kosten, Thomas R; Haque, Ahmed; McDevitt, John T.
Afiliação
  • Christodoulides N; Department of Bioengineering, Rice University, Houston, TX, USA; Department of Chemistry, Rice University, Houston, TX, USA.
  • De La Garza R; Menninger Department of Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; Department of Pharmacology, Baylor College of Medicine, Houston, TX, USA; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
  • Simmons GW; Department of Bioengineering, Rice University, Houston, TX, USA; Department of Chemistry, Rice University, Houston, TX, USA.
  • McRae MP; Department of Bioengineering, Rice University, Houston, TX, USA.
  • Wong J; Department of Bioengineering, Rice University, Houston, TX, USA; Department of Chemistry, Rice University, Houston, TX, USA.
  • Newton TF; Menninger Department of Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; Department of Pharmacology, Baylor College of Medicine, Houston, TX, USA; Department of Veterans Affairs Medical Center, Houston, TX, USA.
  • Smith R; Department of Bioengineering, Rice University, Houston, TX, USA.
  • Mahoney JJ; Menninger Department of Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
  • Hohenstein J; Department of Bioengineering, Rice University, Houston, TX, USA.
  • Gomez S; Department of Bioengineering, Rice University, Houston, TX, USA.
  • Floriano PN; Department of Bioengineering, Rice University, Houston, TX, USA; Department of Chemistry, Rice University, Houston, TX, USA.
  • Talavera H; Department of Bioengineering, Rice University, Houston, TX, USA.
  • Sloan DJ; Department of Bioengineering, Rice University, Houston, TX, USA.
  • Moody DE; Center for Human Toxicology, Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, UT, USA.
  • Andrenyak DM; Center for Human Toxicology, Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, UT, USA.
  • Kosten TR; Menninger Department of Psychiatry & Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA; Department of Pharmacology, Baylor College of Medicine, Houston, TX, USA; Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA; Department of Veterans Affairs Medical Cente
  • Haque A; Department of Bioengineering, Rice University, Houston, TX, USA.
  • McDevitt JT; Department of Bioengineering, Rice University, Houston, TX, USA; Department of Chemistry, Rice University, Houston, TX, USA; Department Biomaterials, Bioengineering Institute, New York University, 433 First Avenue, Room 820, New York, NY 10010-4086, USA. Electronic address: mcdevitt@nyu.edu.
Drug Alcohol Depend ; 153: 306-13, 2015 08 01.
Article em En | MEDLINE | ID: mdl-26048639
ABSTRACT

OBJECTIVE:

There is currently a gap in on-site drug of abuse monitoring. Current detection methods involve invasive sampling of blood and urine specimens, or collection of oral fluid, followed by qualitative screening tests using immunochromatographic cartridges. While remote laboratories then may provide confirmation and quantitative assessment of a presumptive positive, this instrumentation is expensive and decoupled from the initial sampling making the current drug-screening program inefficient and costly. The authors applied a noninvasive oral fluid sampling approach integrated with the in-development chip-based Programmable bio-nano-chip (p-BNC) platform for the detection of drugs of abuse.

METHOD:

The p-BNC assay methodology was applied for the detection of tetrahydrocannabinol, morphine, amphetamine, methamphetamine, cocaine, methadone and benzodiazepines, initially using spiked buffered samples and, ultimately, using oral fluid specimen collected from consented volunteers.

RESULTS:

Rapid (∼10min), sensitive detection (∼ng/mL) and quantitation of 12 drugs of abuse was demonstrated on the p-BNC platform. Furthermore, the system provided visibility to time-course of select drug and metabolite profiles in oral fluids; for the drug cocaine, three regions of slope were observed that, when combined with concentration measurements from this and prior impairment studies, information about cocaine-induced impairment may be revealed.

CONCLUSIONS:

This chip-based p-BNC detection modality has significant potential to be used in the future by law enforcement officers for roadside drug testing and to serve a variety of other settings, including outpatient and inpatient drug rehabilitation centers, emergency rooms, prisons, schools, and in the workplace.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saliva / Drogas Ilícitas / Detecção do Abuso de Substâncias / Dispositivos Lab-On-A-Chip Tipo de estudo: Clinical_trials / Diagnostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: Drug Alcohol Depend Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saliva / Drogas Ilícitas / Detecção do Abuso de Substâncias / Dispositivos Lab-On-A-Chip Tipo de estudo: Clinical_trials / Diagnostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: Drug Alcohol Depend Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Estados Unidos