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Urine Multi-drug Screening with GC-MS or LC-MS-MS Using SALLE-hybrid PPT/SPE

机译:使用Salle-Hybrid PPT / SPE用GC-MS或LC-MS-MS进行尿液多药物筛选

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摘要

To intoxicated patients in the emergency room, toxicological analysis can be considerably helpful for identifying the involved toxicants. In order to develop a urine multi-drug screening (UmDS) method, gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-tandem mass spectrometry (LC-MS-MS) were used to determine targeted and unknown toxicants in urine. A GC-MS method in scan mode was validated for selectivity, limit of detection (LOD) and recovery. An LC-MS-MS multiple reaction monitoring (MRM) method was validated for lower LOD, recovery and matrix effect. The results of the screening analysis were compared with patient medical records to check the reliability of the screen. Urine samples collected from an emergency room were extracted through a combination of salting-out assisted liquid-liquid extraction (SALLE) and hybrid protein precipitation/solid phase extraction (hybrid PPT/SPE) plates and examined by GC-MS and LC-MS-MS. GC-MS analysis was performed as unknown drug screen and LC-MS-MS analysis was conducted as targeted drug screen. After analysis by GC-MS, a library search was conducted using an in-house library established with the automated mass spectral deconvolution and identification system (AMDISTM). LC-MS-MS used Cliquid (R) 2.0 software for data processing and acquisition in MRM mode. An UmDS method by GC-MS and LC-MS-MS was developed by using a SALLE-hybrid PPT/SPE and in-house library. The results of UmDS by GC-MS and LC-MS-MS showed that toxicants could be identified from 185 emergency room patient samples containing unknown toxicants. Zolpidem, acetaminophen and citalopram were the most frequently encountered drugs in emergency room patients. The UmDS analysis developed in this study can be used effectively to detect toxic substances in a short time. Hence, it could be utilized in clinical and forensic toxicology practices.
机译:在急诊室中陶醉的患者,毒理学分析可以相当有助于识别所涉及的毒物。为了开发尿液多药物筛选(UMDS)方法,使用气相色谱 - 质谱(GC-MS)和液相色谱 - 串联质谱(LC-MS-MS)来确定尿液中的靶向和未知的毒物。扫描模式中的GC-MS方法被验证以获得选择性,检测限(LOD)和恢复限制。验证了LC-MS-MS多反应监测(MRM)方法,用于降低洛氏,回收率和矩阵效应。将筛选分析结果与患者医疗记录进行比较,以检查屏幕的可靠性。通过盐析辅助液 - 液 - 液 - 液 - 液 - 液 - 液 - 液 - 液 - 液 - 萃取(盐蛋白沉淀/固相萃取(杂交PPT / SPE)板的组合提取从急诊室收集的尿液样本,并通过GC-MS和LC-MS检查多发性硬化症。以未知的药物筛选进行GC-MS分析,并将LC-MS-MS分析作为靶向药物筛选进行。在通过GC-MS进行分析之后,使用与自动质谱解卷积和识别系统(AMDistm)建立的内部图书馆进行了库搜索。 LC-MS-MS使用Cliquid(R)2.0软件用于MRM模式下的数据处理和采集。通过使用Salle-Hybrid PPT / SPE和内部图书馆开发了GC-MS和LC-MS-MS的UMDS方法。通过GC-MS和LC-MS-MS的UMDS结果表明,可以从185次急诊室患者样品中鉴定含有未知毒物的毒物。 Zolpidem,乙酰氨基酚和西普拉姆是急诊室患者中最常遇到的药物。本研究中开发的UMDS分析可有效使用,以在短时间内检测有毒物质。因此,它可以用于临床和法医学毒理学实践。

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  • 来源
    《Journal of Analytical Toxicology》 |2018年第9期|共8页
  • 作者单位

    Chungnam Natl Univ Grad Sch Analyt Sci &

    Technol 99 Daehak Ro Daejeon 305764 South Korea;

    Chungnam Natl Univ Grad Sch Analyt Sci &

    Technol 99 Daehak Ro Daejeon 305764 South Korea;

    Chungnam Natl Univ Grad Sch Analyt Sci &

    Technol 99 Daehak Ro Daejeon 305764 South Korea;

    Chungnam Natl Univ Grad Sch Analyt Sci &

    Technol 99 Daehak Ro Daejeon 305764 South Korea;

    Chungnam Natl Univ Grad Sch Analyt Sci &

    Technol 99 Daehak Ro Daejeon 305764 South Korea;

    Chungnam Natl Univ Grad Sch Analyt Sci &

    Technol 99 Daehak Ro Daejeon 305764 South Korea;

    Chungnam Natl Univ Hosp Dept Emergency Med Daejeon 301721 South Korea;

    Chungnam Natl Univ Grad Sch Analyt Sci &

    Technol 99 Daehak Ro Daejeon 305764 South Korea;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 毒物学(毒理学);
  • 关键词

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