喵ID:FktaUq免责声明

Detection and Quantification of Hydrogen Peroxide in Aqueous Solutions Using Chemical Exchange Saturation Transfer.

基本信息

DOI:
10.1021/acs.analchem.7b01763
发表时间:
2017-07-18
影响因子:
7.4
通讯作者:
Liu G
中科院分区:
化学1区
文献类型:
Journal Article
作者: Ryoo D;Xu X;Li Y;Tang JA;Zhang J;van Zijl PCM;Liu G研究方向: -- MeSH主题词: --
关键词: --
来源链接:pubmed详情页地址

文献摘要

The development of new analytical methods to accurately quantify hydrogen peroxide is of great interest. In the current study, we developed a new magnetic resonance (MR) method for noninvasively quantifying hydrogen peroxide (H2O2) in aqueous solutions based on chemical exchange saturation transfer (CEST), an emerging MRI contrast mechanism. Our method can detect H2O2 by its specific CEST signal at ~6.2 ppm downfield from water resonance, with more than 1000 times signal amplification compared to the direct NMR detection. To improve the accuracy of quantification, we comprehensively investigated the effects of sample properties on CEST detection, including pH, temperature, and relaxation times. To accelerate the NMR measurement, we implemented an ultrafast Z-spectroscopic (UFZ) CEST method to boost the acquisition speed to 2 s per CEST spectrum. To accurately quantify H2O2 in unknown samples, we also implemented a standard addition method, which eliminated the need for predetermined calibration curves. Our results clearly demonstrate that the presented CEST-based technique is a simple, noninvasive, quick, and accurate method for quantifying H2O2 in aqueous solutions.
开发能够准确定量过氧化氢的新分析方法具有重大意义。在当前的研究中,我们基于化学交换饱和转移(CEST)这一新兴的磁共振成像(MRI)对比机制,开发了一种用于无创定量水溶液中过氧化氢(H₂O₂)的新磁共振(MR)方法。我们的方法能够通过其在水共振峰低场约6.2 ppm处的特定CEST信号检测H₂O₂,与直接的核磁共振(NMR)检测相比,信号放大了1000多倍。为了提高定量的准确性,我们全面研究了样品性质对CEST检测的影响,包括pH值、温度和弛豫时间。为了加快核磁共振测量,我们采用了一种超快Z光谱(UFZ)CEST方法,将每个CEST谱的采集速度提高到2秒。为了准确定量未知样品中的H₂O₂,我们还采用了一种标准加入法,这种方法无需预先确定的校准曲线。我们的研究结果清楚地表明,所提出的基于CEST的技术是一种用于定量水溶液中H₂O₂的简单、无创、快速且准确的方法。
参考文献(0)
被引文献(0)
An enzyme-modulated oxygen-producing micro-system for regenerative therapeutics
DOI:
10.1016/j.ijpharm.2011.02.041
发表时间:
2011-05-16
期刊:
INTERNATIONAL JOURNAL OF PHARMACEUTICS
影响因子:
5.8
作者:
Abdi, Syed Izhar Haider;Ng, Sing Muk;Lim, Jeong Ok
通讯作者:
Lim, Jeong Ok
A novel NMR method for the determination and monitoring of evolution of hydrogen peroxide in aqueous solutions
DOI:
10.1007/s00216-014-7745-4
发表时间:
2014-05-01
期刊:
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
影响因子:
4.3
作者:
Tsiafoulis, Constantinos G.;Gerothanassis, Ioannis P.
通讯作者:
Gerothanassis, Ioannis P.
Ultrafast Z-Spectroscopy for 129Xe NMR-Based Sensors
DOI:
10.1021/jz402261h
发表时间:
2013-12-05
期刊:
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
影响因子:
5.7
作者:
Boutin, Celine;Leonce, Estelle;Berthault, Patrick
通讯作者:
Berthault, Patrick
Self-modeling mixture analysis applied to FT-Raman spectral data of hydrogen peroxide activation by nitriles
DOI:
10.1366/0003702971940288
发表时间:
1997-03-01
期刊:
APPLIED SPECTROSCOPY
影响因子:
3.5
作者:
Vacque, V;Dupuy, N;Legrand, P
通讯作者:
Legrand, P
Oxygen producing biomaterials for tissue regeneration
DOI:
10.1016/j.biomaterials.2007.07.003
发表时间:
2007-11-01
期刊:
BIOMATERIALS
影响因子:
14
作者:
Harrison, Benjamin S.;Eberli, Daniel;Yoo, James J.
通讯作者:
Yoo, James J.

数据更新时间:{{ references.updateTime }}

关联基金

Optimization of CEST MRI for detection of bacteria
批准号:
9303352
批准年份:
2016
资助金额:
8.08
项目类别:
Liu G
通讯地址:
--
所属机构:
--
电子邮件地址:
--
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