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

本研究的目的是通过对头发中药物的历史分析，发现个体慢性病。本课题主要研究在有限的样品中建立高灵敏度、高准确度的低浓度药物检测方法。气相色谱-质谱联用（GC-MS）可获得高灵敏度的检测结果。然而，通过常规方法获得的质谱不清楚。用我们设计的方法分析主要是甲胺的质谱，实际上得到了一些清晰的质谱。利用这种方法，开发了该项目。作为一种新的方法，七氟正丁基化的固相柱（Exterlut）系统。发样经碱消化和pH调节后，上柱提取。然后，通过倾倒含有七氟-正丁酰氯的正己烷进行衍生物萃取。利用该方法对100多份尸体标本进行了详细的分析研究，整理了分析数据。目前已将甲基苯丙胺、苯丙胺、对乙酰氨基酚、异丙嗪的代谢产物去甲基异丙嗪、卡马西平的代谢产物二苯氮卓列为药物相关化合物。在间苯二胺和对乙酰氨基酚的情况下，通过使用氘代类似物提供了它们的定量测定。用10根1cm长的头发切片进行定量分析，结果令人满意。在某些研究病例中，毛发中的药物分布（从发根开始的药物浓度变化）可以估计治疗史。在头发中检测到一些生物化学物质。因此，我们正在研究生物源性化学物质与相关代谢疾病的关系。通过该样品制备获得的样品的GC-MS数据非常清楚。因此，该方法可用于慢性吸毒者头发中毒品的实际分析。

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.