Determination of stable nitrogen isotopic ratios of nitrate ions in ammonium nitrate

硝酸盐 化学 稳定同位素比值 氮同位素 氮气 同位素特征 同位素分析 同位素分馏 硝酸钠 离子 分馏 硝酸铵 分析化学(期刊) 环境化学 无机化学 色谱法 地质学 有机化学 物理 海洋学 量子力学
作者
Can Hu,Yang Huang,Hongcheng Mei,Hongling Guo,Zhanfang Liu,Jun Zhu
出处
期刊:Journal of Forensic Sciences [Wiley]
卷期号:67 (2): 720-725 被引量:6
标识
DOI:10.1111/1556-4029.14935
摘要

Abstract Ammonium nitrate (AN) is one of the most commonly used explosives in criminal cases. The comparison and source‐tracing of AN is important for investigation of attribution and fingerprinting of an explosive used at different events. The stable isotope signature of AN is an important index for comparison and tracing. However, the characteristics of the stable nitrogen isotopic ratios of AN (δ 15 N NH4NO3 ) alone are not sufficient to achieve a fine comparison between different AN samples. To increase the comparison index and further improve the discriminability between stable nitrogen isotopic ratios of different ANs, a method of isolation and analysis of nitrate ions in AN was established using stable‐isotope‐ratio mass spectrometry (IRMS). The method was based on the principle that strong alkali react with AN to produce ammonia and nitrate. After the isolation, stable nitrogen isotopes of nitrate ions (δ 15 N NO3 ) were obtained using IRMS, and then the stable nitrogen isotopes of ammonium ions from AN (δ 15 N NH4 ) was calculated according to the principle of mass balance. The results show that the method is effective for the isolation of nitrate ions without notable isotope fractionation. The developed method was applied to analyze and discriminate AN samples from eight different cities in China. Three samples out of the initial eight AN samples with similar δ 15 N NH4NO3 values were further distinguished by their δ 15 N NH4 and δ 15 N NO3 values. The isolation and stable‐nitrogen isotopic analysis method developed for nitrate ions in AN is simple and effective, thereby increasing the discriminability of the stable isotope ratios in AN.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
单身的冰彤完成签到,获得积分20
刚刚
hh发布了新的文献求助10
1秒前
2秒前
hyl完成签到,获得积分10
5秒前
皮皮鲁完成签到,获得积分10
6秒前
6秒前
7秒前
娜娜子欧发布了新的文献求助10
7秒前
yanyanmi完成签到 ,获得积分10
7秒前
爆米花应助LIKO采纳,获得10
8秒前
8秒前
10秒前
妤懿完成签到 ,获得积分10
11秒前
11秒前
zzzz应助单身的冰彤采纳,获得10
11秒前
连江完成签到,获得积分10
12秒前
沉静的含海完成签到,获得积分10
12秒前
张欢馨应助lll采纳,获得10
12秒前
研友_nqylan完成签到,获得积分10
13秒前
深情安青应助lalalall采纳,获得10
13秒前
无糖果粒橙应助抠抠小手采纳,获得10
13秒前
OK应助清秀LL采纳,获得50
14秒前
15秒前
NSQ完成签到,获得积分10
16秒前
16秒前
别跑我是四驱关注了科研通微信公众号
17秒前
18秒前
共享精神应助愉快睫毛采纳,获得10
18秒前
diligent完成签到,获得积分10
18秒前
星辰大海应助wangying采纳,获得10
19秒前
Hana发布了新的文献求助10
19秒前
泪西瓜完成签到,获得积分10
20秒前
领悟发布了新的文献求助10
21秒前
北北发布了新的文献求助150
22秒前
古德发布了新的文献求助10
22秒前
22秒前
冯不言完成签到,获得积分10
23秒前
希望天下0贩的0应助小鸟采纳,获得10
23秒前
23秒前
XIaoLuzi发布了新的文献求助10
24秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Blackwell's five-minute veterinary consult clinical companion: small animal gastrointestinal diseases 500
Data book on fatigue strength of metallic materials 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7563582
求助须知:如何正确求助?哪些是违规求助? 9144059
关于积分的说明 19551497
捐赠科研通 7151179
什么是DOI,文献DOI怎么找? 3262390
关于科研通互助平台的介绍 2428640
邀请新用户注册赠送积分活动 2252072