Suppr超能文献

利用改进的 Hadamard 变换-逆离子淌度谱技术同时提高分辨率和信噪比。

Simultaneous Improvement of Resolving Power and Signal-to-Noise Ratio Using a Modified Hadamard Transform-Inverse Ion Mobility Spectrometry Technique.

机构信息

Anhui Province Key Laboratory of Medical Physics and Technology, Center of Medical Physics and Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, Anhui, China.

School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, Anhui, 232001, China.

出版信息

J Am Soc Mass Spectrom. 2017 Nov;28(11):2500-2507. doi: 10.1007/s13361-017-1773-1. Epub 2017 Aug 17.

Abstract

In order to improve the resolving power (RP) and signal-to-noise ratio (SNR) of ion mobility spectrometry (IMS) simultaneously, a modified Hadamard transform-inverse ion mobility spectrometry (MHT-IIMS) technique was developed. In this novel technique, a series of isolating codes were appended to each element of the pseudo random binary sequence (PRBS), and then the modified modulation sequence was formed and used to control the ion gate of the inverse IMS (IIMS). Experimental results demonstrate that the MHT-IIMS technique can significantly enhance the resolving power and SNR simultaneously by measuring the spectra of reaction ions. Furthermore, the gas sample CCl and CHCl were measured for evaluating the capability of detecting those samples which have single and multiple product ions. The results show that this novel technique is able to simultaneously improve the resolving power and SNR notablely for the real sample detection without any significant instrumental changes. Graphical Abstract ᅟ.

摘要

为了同时提高离子淌度谱(IMS)的分辨率(RP)和信噪比(SNR),开发了一种改进的 Hadamard 变换-逆离子淌度谱(MHT-IIMS)技术。在该新技术中,在伪随机二进制序列(PRBS)的每个元素后附加了一系列隔离码,然后形成了改进的调制序列,并用于控制逆 IMS(IIMS)的离子门。实验结果表明,通过测量反应离子的光谱,MHT-IIMS 技术可以显著提高分辨率和 SNR。此外,还测量了 CCl 和 CHCl 气体样品,以评估该技术检测具有单峰和多峰产物离子的样品的能力。结果表明,该新技术无需进行任何重大仪器更改,即可显著提高实际样品检测的分辨率和 SNR。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验