基于同位素模式峰的串联质谱鉴别天然烟碱与合成烟碱

Identification of Natural Nicotine and Synthetic Nicotine by Tandem Mass Spectrometry Based on Isotope Pattern Peaks

  • 摘要: 天然烟碱和合成烟碱的生物合成和化学合成过程不同,其同位素分馏也不同。本研究利用这一特性开发了一种基于同位素模式峰的串联质谱方法,通过对比烟碱的M+H+和M+H+1+峰的丰度和面积比,以及M+H+和M+H+1+峰作为母离子产生的碎片峰丰度比来验证烟碱的来源。结果表明,天然烟碱与合成烟碱的MS谱图中m/z 164.1、163.1峰的丰度比和面积比,以及MS/MS谱图中m/z 163.1、164.1碎片离子的丰度比均具有显著性差异。在具有显著性差异的变量中,合成烟碱的总体丰度比高于天然烟碱。同时,结合化学计量学方法进一步构建鉴别天然烟碱与合成烟碱的评价模型。在OPLS-DA模型中,164.1-85.1/84.1、164.1-85.1/(84.1+85.1)、163.1-131.1/131.1、163.1-131.1/(130.1+131.1)为筛选出来的天然烟碱与合成烟碱鉴别的主要变量,准确度达97.87%。该方法具有操作简单、快速、无需定量等特点,有助于市场上不同来源烟碱烟草制品的准确识别、标签和监管。

     

    Abstract: “Tobacco-free” or synthetic nicotine products have been favored by the majority of young people, which undoubtedly increase the potential health risks and regulatory challenges. Currently, there are few reliable methods for the determination of authenticity of natural nicotine and synthetic nicotine. The analytical techniques based on mass spectrometry have broad application prospects in component sequence analysis, structure analysis, molecular weight determination and component content determination. The synthesis processes of natural nicotine and synthetic nicotine are different, and their isotopic fractionations are also different. Here, a method of tandem mass spectrometry based on isotope model peak was developed using this feature. The source or naturalness of nicotine is verified by comparing the abundance and area ratio of M+H+ and M+H+1+ peaks of nicotine, and the abundance ratio of M+H+ and M+H+1+ peaks as fragments of parent ions. A total of 47 experimental results showed that the m/z 164.1, 163.1 peak abundance ratios and the area ratios of natural nicotine and synthetic nicotine in MS spectra were significantly different. In addition, in MS/MS spectra, the abundance ratios of fragment ions of m/z 163.1, 164.1 also had significant differences. Among the variables with significant differences, the overall abundance ratio of synthetic nicotine was higher than that of natural nicotine. The evaluation model for the identification of natural nicotine and synthetic nicotine was further constructed by combining chemometric methods. Using OPLS-DA modeling, the discriminant accuracy was 97.87%. Moreover, rankings of importance of variables differed depending on the model of the evaluation. 164.1-85.1/84.1, 164.1-85.1/(84.1+85.1), 163.1-131.1/131.1, 163.1-131.1/(130.1+131.1) were the key discriminant variables. This method has the advantages of simple operation, rapid operation and no need for quantitative analysis, which will help to accurately identify, label and supervise tobacco products from different nicotine sources on the market.

     

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