利用紫外光离子源高场不对称波形离子迁移谱快速、现场检测水中氨的含量 |
| |
引用本文: | 李山,陈池来,朱德泉,关柯,阮智铭,刘友江,余健文,徐青. 利用紫外光离子源高场不对称波形离子迁移谱快速、现场检测水中氨的含量[J]. 分析化学, 2016, 0(11): 1679-1685. DOI: 10.11895/j.issn.0253-3820.160469 |
| |
作者姓名: | 李山 陈池来 朱德泉 关柯 阮智铭 刘友江 余健文 徐青 |
| |
作者单位: | 1. 中国科学院合肥智能机械研究所,传感技术国家重点实验室,合肥230031; 安徽农业大学工学院,合肥230030;2. 中国科学院合肥智能机械研究所,传感技术国家重点实验室,合肥230031;3. 安徽农业大学工学院,合肥,230030 |
| |
基金项目: | 国家自然科学基金(61374016),中国科学院青年创新促进会(2013213),中科院科技服务网络计划项目(KFJ-EW-STS-083) |
| |
摘 要: | 氨是水体主要的污染物之一,其含量是水质评估的重要参数。本研究采用真空紫外光离子源-高场不对称波形离子迁移谱(Ultraviolet photoionization high field asymmetric waveform ion mobility spectrometry, UVFAIMS)技术,发展一种的水中氨含量的现场快速检测方法。通过对比标准氨样品和水中微量氨UV-FAIMS 谱图峰的特征补偿电压(Compensation voltage, CV)值,确定了水中HN+4的特征离子峰位置;研究了不同分离电压(Dispersion voltages, DV)下HN+4谱图峰位置的关系,获得了HN+4的特征识别系数α2和α4分别为2.21×10-5 Td-2和-1.45323×10-9 Td-4;通过不同浓度样品的信号响应,研究了UV-FAIMS 对水中氨的检出限,在信噪比为3的情况下达到了9.2 μg/ L。本研究为水中氨现场检测提供了一种快速、无需前处理的技术手段。
|
关 键 词: | 氨 高场不对称波形离子迁移谱 水污染 现场检测 |
Direct and Rapid Determination of Ammonia in Water Samples Using Ultraviolet Photoionization High Field-Asymmetric Waveform Ion Mobility Spectrometry |
| |
Abstract: | A novel on-site rapid detection method for ammonia detection in water was developed by using ultraviolet photoionization high field-asymmetric waveform ion mobility spectrometry ( UV-FAIMS ) . The position of ammonia characteristic ion peak was acquired by the comparison between the characteristic compensation voltage ( CV) in standard ammonia sample and trace amount ammonia in water. The relation between the positions of ammonia characteristic ion peaks under different dispersion voltages ( DV ) was studied. The values of α2,α4 were 2. 21 ×10-5 Td-2 and -1. 45323 ×10-9 Td-4, respectively. The different concentrations of ammonia in water was measured with a limit of detection (LOD) of 9. 2 μg/L (S/N=3). This study provided a rapid, non-pretreatment means for the detection of ammonia in water matrices. |
| |
Keywords: | Ammonia Ultraviolet photoionization high field-asymmetric waveform ion mobility spectrometry Water pollutants On-site detection |
本文献已被 万方数据 等数据库收录! |
|