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

本研究的目的是通过历史分析头发中的药物来发现个体慢性疾病。我们主要研究开发高灵敏度、高精度的检测有限样品中低浓度药物的分析方法。气相色谱-质谱联用检测灵敏度高。然而，用常规方法得到的质谱不清晰。用我们设计的主要分析甲基苯丙胺的方法，实际得到了一些清晰的质谱。采用该方法开发了该项目。将固相柱上七氟正丁化反应作为一种新方法进行了系统化研究。经碱消化和ph调整后，将头发样品置于提取柱上。然后，用含七氟正丁基氯的正己烷进行萃取。冷凝后的样品进行气相色谱-质谱分析。采用该方法，对采集的100余具尸体标本进行了详细的整理分析。到目前为止，甲基苯丙胺、安非他命、对乙酰氨基酚、去甲基异丙嗪（异丙嗪的代谢物）、二苯氮平（卡马西平的代谢物）被列为药物相关化合物。在甲基苯丙胺和对乙酰氨基酚的情况下，它们的定量分析是通过使用氘化类似物提供的。在实际分析中，定量方法令人满意，其中使用了10根1厘米长的头发切片。在研究的一些病例中，头发中的药物分布（从发根开始的药物浓度变化）可以估计治疗历史。在头发中发现了一些生物化学物质。因此，我们正在研究生物化学物质与其相关代谢疾病的关系。该样品制备得到的样品的GC-MS数据非常清晰。因此，该方法可用于慢性吸毒者发药的实际头发分析。

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.