Quantitative Detection of Trace Malachite Green in Aquiculture Water Samples by Extractive Electrospray Ionization Mass Spectrometry.
Int J Environ Res Public Health
; 13(8)2016 08 11.
Article
in En
| MEDLINE
| ID: mdl-27529262
ABSTRACT
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 of malachite green in water. Herein the 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 a 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 µg·L(-1) (S/N = 3) in lake water samples and ~0.5 µg·L(-1) in ultrapure water under optimized experimental conditions. The signal intensity of MG showed good linearity over the concentration range of 10-1000 µg·L(-1). Measurement of practical water samples fortified with MG at 0.01, 0.1 and 1.0 mg·L(-1) gave a good validation of the established calibration curve. The average recoveries and relative standard deviation (RSD) of malachite green in lake water and Carassius carassius fish farm effluent water were 115% (6.64% RSD), 85.4% (9.17% RSD) and 96.0% (7.44% RSD), respectively. Overall, the established EESI-MS/MS method has been demonstrated suitable for sensitive and rapid (<2 min per sample) quantitative detection of malachite green in various aqueous media, indicating its potential for online real-time monitoring of real life samples.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Rosaniline Dyes
/
Water
/
Aquaculture
/
Spectrometry, Mass, Electrospray Ionization
Type of study:
Diagnostic_studies
Limits:
Animals
/
Humans
Language:
En
Journal:
Int J Environ Res Public Health
Year:
2016
Document type:
Article
Affiliation country: