The Determination of 6 Amphetamine Drugs in Hair Samples by GC-MS and LC-MS/MS
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摘要: 建立毛发样本中6种苯丙胺类药物的GC-MS和LC-MS/MS分析检测方法。选择合适的人体毛发,浸泡在药物-二甲基亚砜溶液中制备含6种苯丙胺类药物的毛发样本,采用单因素变量法优化样品前处理过程,利用GC-MS和LC-MS/MS法对制备的毛发样本进行定量分析。以甲基苯丙胺-D5为内标,采用工作曲线法进行定量分析。实验结果显示,制备的毛发样本中6种苯丙胺类药物的最佳前处理方法为:提取溶剂0.01 mol·L−1 HCl,液料比100:1(mL·g−1),提取温度40 ℃,提取时间50 min。GC-MS中,6种苯丙胺类药物在0.5~5.0 ng·mg−1浓度范围内线性关系良好,r2>0.999,检测限为0.04~0.08 ng·mg−1,回收率≥85.46%,RSDs≤ 3.6%(n=9);LC-MS/MS中,6种苯丙胺类药物在0.06~0.50 ng·mg−1浓度范围内线性关系良好,r2>0.999,检测限低至0.05~5.0 pg·mg−1,回收率在86.50%~111.9%范围内,RSDs≤ 4.2%(n=9)。这两种方法应用于毛发中苯丙胺类药物的检测,灵敏度高、准确度好、专属性强,可作为毛发中苯丙胺类药物基体标准物质的定值方法,用于标准物质的研制,应用于法医滥用药物检测和实验室质量控制领域。Abstract: A method was developed for the analytical determination of six amphetamine drugs in hair samples by GC-MS and LC-MS/MS. The hair samples were prepared by immersing in the drug-dimethyl sulfoxide solution including target analytes. The sample pretreatment process was optimized using the one-way variable method, and the prepared hair samples were quantified using GC-MS and LC-MS/MS methods. The working curve method was used for quantitative analysis with methamphetamine-D5 as the internal standard. The results showed that the optimal pretreatment methods for the six amphetamine drugs in the prepared hair samples were: 0.01 mol·L−1 HCl, liquid-material ratio 100:1 (mL·g−1), extraction temperature 40 ℃, extraction time 50 min. In GC-MS, the linear range of 6 amphetamine drugs was 0.5 ~ 5.0 ng·mg−1, r2>0.999. The detection limits of the method were 0.04~0.08 ng·mg−1, and the recovery rates were greater than 85.46%, RSDs≤3.6% (n=9). In LC-MS/MS, the 6 amphetamine drugs showed a good linear relationship within the concentration range of 0.06~0.50 ng·mg−1, r2>0.999. The detection limits were 0.05~5.0 pg·mg−1and the recovery of appended contrast in the blank sample ranged from 86.50% to 111.9%, RSDs≤4.2% (n=9). The established methods were used for the detection of amphetamine drugs in human hair, with high sensitivity, good accuracy, and strong specificity. These two methods can be used as the certification method of the reference material of the amphetamine drug in human hair, which could be applied for drug abuse testing and laboratory quality control in the forensic field.
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Key words:
- amphetamine /
- hair samples /
- reference material /
- GC-MS /
- LC-MS/MS
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表 1 实验仪器信息表
Table 1. Experimental instrument information sheet
仪器名称 型号 生产厂家 液质联用仪 TQS Waters,美国 气质联用仪 7890A-7000 Agilent,美国 超声波清洗机 Branson 8510 Danbury,美国 氮吹仪 N-EVAP 112 Organomation,美国 超纯水机 Milli-Q Millipore,美国 电热恒温鼓风干燥箱 DGG-9123AD 上海森信实验仪器有限公司 多用途冷冻离心机 CF16RXII HITACHI公司 电子天平 XP205 Mettler Toledo公司,瑞士 表 2 实验试剂信息表
Table 2. Laboratory reagent information sheet
试剂名称 纯度 生产厂家 甲醇 色谱纯 Merck KGaA,德国 乙腈 色谱纯 Merck KGaA,德国 盐酸 分析纯 北京化学试剂研究所有限责任公司,中国 二甲基亚砜 >99.5% Honeywell,美国 甲酸 色谱纯 Honeywell,美国 乙酸铵 色谱纯 Honeywell,美国 表 3 GC-MS中化合物的保留时间和特征离子
Table 3. Retention time and characteristic ions of amphetamine compounds in GC-MS
药物名称 SIM离子 保留时间(min) RSD
(n=3, %)标准溶液 头发样本 AP 44*,91,117,65 5.69 5.70 0.07 MA 58*,91,56 6.45 6.46 0.09 MDEA 72*,135,136,77 11.60 11.60 0.02 MDMA 58*,77,59,135 11.10 11.10 0.01 MDA 44*,136,77,51 10.40 10.40 0.06 麻黄碱 58*,77,105 9.03 9.03 0.02 甲基苯丙胺-D5 62*,66,92,139 6.41 6.41 0.02 注:*为定量离子 表 4 LC-MS/MS梯度洗脱程序表
Table 4. LC-MS/MS gradient elution program table
时间(min) 流动相A(%) 流动相B(%) 0 85 15 4 72 28 5 72 28 10 70 30 13 55 45 13.5 5 95 14.5 85 15 20 85 15 表 5 LC-MS/MS中6种苯丙胺类化合物质谱参数表
Table 5. Mass spectrometry parameters of 6 amphetamine compounds in LC-MS/MS
药物
名称分子量 母离子
m/z子离子
m/z锥孔电
压(V)CE
(V)内标 AP 135.00 136.00 91.00* 55 25 甲基苯
丙胺-D5119.00 55 15 MA 149.23 148.24 133.24* 64 18 117.26 64 16 MDEA 207.00 208.22 105.23* 28 22 132.85 28 24 MDMA 194.00 194.22 163.27* 32 12 105.23 32 22 MDA 179.20 180.00 135.00 70 26 163.00* 70 13 麻黄碱 148.00 148.16 114.91 42 16 133.24* 42 16 注:*为定量离子 表 6 6种苯丙胺类化合物的检测限和定量限
Table 6. LOD and LOQ of 6 amphetamine compounds
药物名称 LOD(ng·mg−1) LOQ(ng·mg−1) GC-MS LC-MS GC-MS LC-MS AP 0.04 0.005 0.08 0.02 MA 0.04 0.00005 0.08 0.0003 MDEA 0.04 0.00005 0.08 0.0003 MDMA 0.04 0.00005 0.08 0.0003 MDA 0.04 0.005 0.08 0.01 麻黄碱 0.08 0.00005 0.1 0.0003 表 7 GC-MS中6种苯丙胺类化合物的线性与范围
Table 7. Linearity and range of 6 amphetamine compounds in GC-MS
药物名称 线性范围(ng·mg−1) 回归方程 r2 AP 0.5~5.0 y=0.5272x−0.0009 0.9995 MA 0.5~5.0 y=0.206x+0.0358 0.9992 MDEA 0.5~5.0 y=0.6042x−0.0248 0.9993 MDMA 0.5~5.0 y=0.5188x−0.011 0.9997 MDA 0.5~5.0 y=0.2284x−0.0275 0.9998 麻黄碱 0.5~5.0 y=0.2303x−0.1461 0.9990 表 8 LC-MS/MS种6种苯丙胺类化合物的线性与范围
Table 8. Linearity and range of 6 amphetamine compounds in LC-MS/MS
药物名称 线性范围(ng·mg−1) 回归方程 r2 AP 0.06~0.50 y=0.1779x+0.0163 0.9991 MA 0.06~0.50 y=4.5592x+0.1073 0.9992 MDEA 0.06~0.50 y=10.369x+0.2026 0.9992 MDMA 0.06~0.50 y=15.063x+0.4445 0.9990 MDA 0.06~0.50 y=0.0566x+0.0062 0.9992 麻黄碱 0.06~0.50 y=5.4438x+0.1192 0.9998 表 9 6种苯丙胺类化合物重复性实验结果(n=6)
Table 9. Results of reproducible experiments of amphetamine compounds(n=6)
药物名称 RSD (%) GC-MS LC-MS/MS AP 0.68 2.5 MA 1.1 1.0 MDEA 1.9 1.2 MDMA 0.32 0.75 MDA 1.9 2.7 麻黄碱 2 0.41 表 10 苯丙胺类化合物的空白加标回收率(GC-MS)
Table 10. Results of blank spike recovery of amphetamine compounds(GC-MS)
药物名称 添加浓度/ng·mg−1 测得浓度/ng·mg−1 回收率/% RSD/% AP 0.8776 0.9240 105.3 1.5 1.564 1.796 114.8 1.0 3.048 3.090 101.4 2.6 MA 0.9900 0.8583 86.69 2.0 1.764 1.691 95.86 1.6 3.438 3.760 109.4 1.6 MDEA 0.9853 0.8421 85.46 0.66 1.756 1.586 90.31 0.72 3.422 3.163 92.44 2.4 MDMA 0.9814 0.8857 90.25 3.6 1.749 1.798 102.8 0.21 3.408 3.403 99.85 3.6 MDA 1.004 0.8742 87.10 0.78 1.789 2.124 118.7 1.5 3.486 4.122 118.3 1.7 麻黄碱 0.9022 0.9246 102.5 1.2 1.608 1.706 106.1 2.0 3.133 2.872 91.66 0.48 表 11 苯丙胺类化合物的空白加标回收率(LC-MS/MS)
Table 11. Results of blank spike recovery of amphetamine compounds(LC-MS/MS)
药物名称 添加浓度/ng·mg−1 测得浓度/ng·mg−1 回收率/% RSD/% AP 0.07370 0.07916 107.4 4.2 0.1750 0.1514 86.50 2.0 0.3487 0.3207 91.96 2.6 MA 0.06520 0.05649 86.64 1.1 0.1792 0.1840 102.7 1.0 0.3569 0.3604 101.0 1.7 MDEA 0.06421 0.05989 93.27 1.8 0.1764 0.1899 107.6 0.37 0.3515 0.3662 104.2 1.0 MDMA 0.06397 0.05565 87.00 2.5 0.1758 0.1967 111.9 1.4 0.3502 0.3545 101.2 1.5 MDA 0.06283 0.06698 106.6 0.53 0.1726 0.1525 88.32 1.2 0.3439 0.3228 93.87 1.6 麻黄碱 0.06251 0.05480 87.67 1.6 0.1718 0.1747 101.7 1.4 0.3421 0.3492 102.1 0.69 -
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