A GC-MS based analytical method was developed for the profiling of oil-based AAS products using 15 organic constituents as target compounds. A total of 219 compounds were identified in 109 seized AAS products, among them 15 target compounds were selected. The selection was based on each compound's occurrence, reproducibility, and variance between products. The 15 target compounds did not include the active steroid itself, but only compounds found in the carrier oil. The subsequent method validation included assessment of specificity, linearity, precision, robustness and sample stability. The method was finally applied for the classification of a set of 27 seizures of AAS products supplied by the police. The classification was based on the Pearson correlation coefficient using pre-treated peak area data from the 15 target compounds. A successful classification was obtained, with only a small overlap between linked and unlinked samples. A 1% false-positive rate could be obtained at a threshold of 0.625 in terms of the Pearson distance. The present study thus demonstrates that it is possible to profile and classify AAS products with regard to a common origin. As the profiling method is not specific with regards to the steroid content, it may potentially be used to profile and compare other kinds of oil-based liquids.

中文翻译：

---

开发了一种使用气相色谱-质谱法分析油基雄性合成代谢类固醇产品的方法。

开发了一种基于GC-MS的分析方法，用于分析油基AAS产品，使用15种有机成分作为目标化合物。在109种缉获的AAS产品中总共鉴定出219种化合物，其中选择了15种目标化合物。选择基于每种化合物的出现，可重复性和产品之间的差异。15种目标化合物不包括活性类固醇本身，而仅包括在载油中发现的化合物。随后的方法验证包括评估特异性，线性，精密度，稳健性和样品稳定性。该方法最终用于对警察提供的27批次缉获的AAS产品进行分类。分类是基于Pearson相关系数，使用了15种目标化合物的预处理峰面积数据。获得了成功的分类，链接的和未链接的样本之间只有很小的重叠。就皮尔逊距离而言，在0.625的阈值下可获得1％的假阳性率。因此，本研究表明，有可能就共同来源对AAS产品进行概要分析和分类。由于仿形方法对于类固醇含量不是特定的，因此它可能会用于分析和比较其他种类的油基液体。