Cristoni Simone, Dusi Guglielmo, Brambilla Paolo, Albini Adriana, Conti Matteo, Brambilla Maura, Bruno Antonino, Di Gaudio Francesca, Ferlin Luca, Tazzari Valeria, Mengozzi Silvia, Barera Simone, Sialer Carlos, Trenti Tommaso, Cantu Marco, Rossi Bernardi Luigi, Noonan Douglas M
I.S.B.-Ion Source & Biotechnologies, Bresso, Milano, Italy.
Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna, B. Ubertini, Brescia, Italy.
J Mass Spectrom. 2017 Jan;52(1):16-21. doi: 10.1002/jms.3895.
Electrospray Ionization and collision induced dissociation tandem mass spectrometry are usually employed to obtain compound identification through a mass spectra match. Different algorithms have been developed for this purpose (for example the nist match algorithm). These approaches compare the tandem mass spectra of the unknown analyte with the tandem mass spectra spectra of known compounds inserted in a database. The compounds are usually identified on the basis of spectral match value associated with a probability of recognition. However, this approach is not usually applied to multiple reaction monitoring transition spectra achieved by means of triple quadrupole apparatus, mainly due to the lack of a transition spectra database. The Surface Activated Chemical Ionization-Electrospray-NIST Bayesian model database search (SANIST) platform has been recently developed for new potential metabolite biomarker discovery, to confirm their identity and to use them for clinical and diagnostic applications. Here, we present an improved version of the SANIST platform that extends its application to forensic, pharmaceutical, and food analysis studies, where the compound identification rules are strict. The European Union (EU) has set directives for compound identification (EU directive 2002/657/EC). We have applied the SANIST method to identification of 11-nor-9-carboxytetrahydro-cannabinol in urine samples (an example of a forensic application), circulating levels of the immunosuppressive drug tacrolimus in blood (an example of a pharmaceutical application) and glyphosate in fruit juice (an example of a food analysis application) that meet the EU directive requirements. Copyright © 2016 John Wiley & Sons, Ltd.
电喷雾电离和碰撞诱导解离串联质谱通常用于通过质谱匹配来鉴定化合物。为此已经开发了不同的算法(例如nist匹配算法)。这些方法将未知分析物的串联质谱与数据库中插入的已知化合物的串联质谱进行比较。通常根据与识别概率相关的光谱匹配值来鉴定化合物。然而,这种方法通常不适用于通过三重四极杆仪器获得的多反应监测过渡光谱,主要是由于缺乏过渡光谱数据库。表面活化化学电离-电喷雾-NIST贝叶斯模型数据库搜索(SANIST)平台最近已被开发用于发现新的潜在代谢物生物标志物,以确认它们的身份并将其用于临床和诊断应用。在这里,我们展示了SANIST平台的改进版本,该版本将其应用扩展到法医、制药和食品分析研究,这些领域的化合物识别规则很严格。欧盟(EU)已经制定了化合物识别指令(欧盟指令2002/657/EC)。我们已将SANIST方法应用于尿液样本中11-去甲-9-羧基四氢大麻酚的鉴定(法医应用示例)、血液中免疫抑制药物他克莫司的循环水平(制药应用示例)以及果汁中草甘膦的鉴定(食品分析应用示例),这些均符合欧盟指令要求。版权所有© 2016 John Wiley & Sons, Ltd.