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采用气相色谱 - 质谱联用在线衍生化法对气态氨进行定量分析及其在硝酸铵基炸药中的应用。

Quantitative analysis of vaporous ammonia by online derivatization with gas chromatography - mass spectrometry with applications to ammonium nitrate-based explosives.

机构信息

Nova Research Inc., 1900 Elkin St., Suite 230, Alexandria, VA 22308, USA.

National Research Council Post-doctoral Fellow, 500 5th St NW, Washington, D.C. 20001, USA.

出版信息

Talanta. 2019 Feb 1;193:87-92. doi: 10.1016/j.talanta.2018.09.099. Epub 2018 Sep 26.

DOI:10.1016/j.talanta.2018.09.099
PMID:30368302
Abstract

A novel method for the detection of vaporous products was developed utilizing a derivatizing agent collected onto a cryo-cooled gas chromatograph (GC) inlet, with analysis by gas chromatography-mass spectrometry (GC-MS). The technique was applied to the detection of ammonia, which has been difficult to detect at trace levels, particularly in the presence of other chemical interferents, due to its small mass and high volatility. To address this, the ammonia is derivatized in the inlet with butyl chloroformate to produce butyl carbamate, a compound that is retained by GC columns and compatible with standard GC-MS analysis. This method was then used to quantify the ammonia headspace vapor concentration produced from the dissociation of bulk ammonium nitrate as well as from mixtures with aluminum and petroleum jelly, which are fuels commonly used in homemade explosives (HMEs).

摘要

开发了一种利用衍生剂收集到冷气相色谱 (GC) 进样口的新型蒸气产物检测方法,并通过气相色谱-质谱 (GC-MS) 进行分析。该技术应用于痕量氨的检测,由于其质量小、挥发性高,特别是在存在其他化学干扰物的情况下,氨很难被检测到。为了解决这个问题,氨在进样口中与氯甲酸丁酯衍生化,生成氨基甲酸丁酯,一种被 GC 柱保留并与标准 GC-MS 分析兼容的化合物。然后,该方法用于定量测定从块状硝酸铵分解以及与铝和凡士林(在自制爆炸物(HME)中常用的燃料)混合物中产生的氨顶空蒸气浓度。

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