scholarly journals Quantitative detection of nitric oxide in exhaled human breath by extractive electrospray ionization mass spectrometry

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Susu Pan ◽  
Yong Tian ◽  
Ming Li ◽  
Jiuyan Zhao ◽  
Lanlan Zhu ◽  
...  
Keyword(s):  
Nitric Oxide ◽  
Mass Spectrometry ◽  
Electrospray Ionization ◽  
Electrospray Ionization Mass Spectrometry ◽  
Ionization Mass Spectrometry ◽  
Quantitative Detection ◽  
Ionization Mass ◽  
Human Breath

scholarly journals Quantitative Detection of Trace Malachite Green in Aquiculture Water Samples by Extractive Electrospray Ionization Mass Spectrometry

2016 ◽  
Author(s):  
Xiaowei Fang ◽  
Shuiping Yang ◽  
Konstantin Chingin ◽  
Liang Zhu ◽  
Xinglei Zhang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Electrospray Ionization ◽  
Malachite Green ◽  
Lake Water ◽  
Electrospray Ionization Mass Spectrometry ◽  
Water Samples ◽  
Ionization Mass Spectrometry ◽  
Quantitative Detection ◽  
Ionization Mass ◽  
Experimental Conditions

Exposure to malachite green (MG) may pose great health risks to humans, thus it is of prime importance to develop fast and robust methods to quantitatively screen the presence malachite green in environment. Herein application of extractive electrospray ionization mass spectrometry (EESI-MS) has been extended to the trace detection of MG within lake water and aquiculture water, due to the intensive use of MG as biocide in fisheries. This method has the advantage of obviating offline liquid-liquid extraction or tedious matrix separation prior to the measurement of malachite green in native aqueous medium. The experimental results indicate that the extrapolated detection limit for MG was ~3.8 ug L-1 (S/N=3) in lake water samples and ~ 0.5 ug L-1 in ultrapure water under optimized experimental conditions. The signal intensity of MG showed good linearity over the concentration range of 10–5000 ug L-1. Measurement of practical water samples fortified with MG at 0.01 and 0.1 mg L-1 gave a good validation of the established calibration curve. The average recoveries of malachite green in lake water and Carassius carassius fish farm effluent water were 114.9% (6.6% RSD) and 85.4% (9.2% RSD), respectively. Overall, the established EESI-MS/MS method has been demonstrated suitable for sensitive and rapid (

scholarly journals Quantitative detection of trace malachite green in aquiculture water samples by extractive electrospray ionization mass spectrometry

2016 ◽  
Author(s):  
Xiaowei Fang ◽  
Shuiping Yang ◽  
Konstantin Chingin ◽  
Liang Zhu ◽  
Xinglei Zhang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Electrospray Ionization ◽  
Malachite Green ◽  
Lake Water ◽  
Electrospray Ionization Mass Spectrometry ◽  
Water Samples ◽  
Ionization Mass Spectrometry ◽  
Quantitative Detection ◽  
Ionization Mass ◽  
Experimental Conditions

Exposure to malachite green (MG) may pose great health risks to humans, thus it is of prime importance to develop fast and robust methods to quantitatively screen the presence malachite green in environment. Herein application of extractive electrospray ionization mass spectrometry (EESI-MS) has been extended to the trace detection of MG within lake water and aquiculture water, due to the intensive use of MG as biocide in fisheries. This method has the advantage of obviating offline liquid-liquid extraction or tedious matrix separation prior to the measurement of malachite green in native aqueous medium. The experimental results indicate that the extrapolated detection limit for MG was ~3.8 ug L-1 (S/N=3) in lake water samples and ~ 0.5 ug L-1 in ultrapure water under optimized experimental conditions. The signal intensity of MG showed good linearity over the concentration range of 10–5000 ug L-1. Measurement of practical water samples fortified with MG at 0.01 and 0.1 mg L-1 gave a good validation of the established calibration curve. The average recoveries of malachite green in lake water and Carassius carassius fish farm effluent water were 114.9% (6.6% RSD) and 85.4% (9.2% RSD), respectively. Overall, the established EESI-MS/MS method has been demonstrated suitable for sensitive and rapid (

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