Hair analysis of chronic therapeutic drugs : A new usage of hair as therapeutic note

这项研究的目的是通过对头发中药物的历史分析来发现个人慢性疾病。我们主要研究开发在有限的样品中以高灵敏度和高准确度检测低水平药物的分析方法。采用气相色谱-质谱法(GC-MS)可获得高灵敏度的检测结果。然而，通过常规方法获得了不清楚的质谱图。用我们设计的以甲基异丙胺为主的分析方法，实际获得了一些清晰的质谱图。利用该方法，开发了该项目。作为一种新方法，七氟丁基化在固相柱(Exterlut)上进行了系统化。毛发样品经碱解和pH调节后，加入萃取柱。然后，通过倒入含有七氟正丁基氯化物的正己烷进行衍生萃取。样品经浓缩后，用气相色谱-质谱仪进行分析。利用该方法，对从身体上采集的100多个样品的分析数据进行了详细的研究。目前，甲基苯丙胺、苯丙胺、对乙酰氨基酚、异丙嗪的代谢物去甲基异丙嗪、卡马西平的代谢物二苯并氮卓被列为与药物有关的化合物。在间羟基苯丙胺和对乙酰氨基酚的情况下，它们的定量测定是通过氢化类似物提供的。对10根1 cm长的毛发进行了定量分析，结果令人满意。在一些被研究的案例中，头发中的药物分布(从发根到头发的药物浓度的变化)可以预测治疗历史。在头发中发现了一些典型的生物化学物质。因此，我们正在研究生物化学物质与其相关代谢性疾病的关系。通过该样品制备的样品的GC-MS数据非常清晰。因此，该方法可用于慢性吸毒者毛发药物的实际分析。

The purpose of this study was to find indivisual chronic disease by historically analyzing drugs in hair. We mostly studied on developing analytical procedures for detecting lower levels of drugs in limited samples in high sensitivity and high accuracy. High sensitive detedction could be obtained by gas chromatography-mass spectrometry (GC-MS). However, unclear mass spectra were obtained by conventional procedures. By our devised method for analyzing mainly methampletamine, some clear mass spectra were practically obtained. By using this method, this project was developed. As a new method, heptafluoro-n-butylation on a solid-phase column (Exterlut) was systematized. After alkaline-digestion and pH-adjustment, the hair sample was applied on to an extracting column. Then, the derivative extraction was performed by pouring n-hexane containing heptafluoro-n-butyryl chroride. After condensation, the sample was analyzed by GC-MS.By using this method, more than 100 samples collected from cadavers were studied in detail on filing analytical data. By now, methamphetamine, amphetamine, acetaminophen, desmethyl-promethazine (promethazine's metabolite), dibenz-azepine (carbamazepine's metabolite) were listed as drug-related compounds. In cases of metahmphetamines and acetaminophen, their quantitative assays were provided by using deuterated analogues. The quantitative methods were satisfactory to practical analyzes, in which 10 pieces of 1 cm-long sectioned hair were used. In some case studied, drug-distribution (change in drug-concentration from hair-root) in hair could estimate therapeutic history. Some biogenic chemicals were characteristically detected in hair. So that, we are studying on relationship between biogenic chemicals and their related metabolic disease. The GC-MS data from samples obtained by this sample preparation was very clear. Consequently, this method can be used for practical hair analyzes for hair-drugs from chronic drug-users.