TITLE

Development of a sequential injection–square wave voltammetry method for determination of paraquat in water samples employing the hanging mercury drop electrode

AUTHOR(S)
Dos Santos, Luciana B. O.; Infante, Carlos M. C.; Masini, Jorge C.
PUB. DATE
March 2010
SOURCE
Analytical & Bioanalytical Chemistry;Mar2010, Vol. 396 Issue 5, p1897
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
This work describes the development and optimization of a sequential injection method to automate the determination of paraquat by square-wave voltammetry employing a hanging mercury drop electrode. Automation by sequential injection enhanced the sampling throughput, improving the sensitivity and precision of the measurements as a consequence of the highly reproducible and efficient conditions of mass transport of the analyte toward the electrode surface. For instance, 212 analyses can be made per hour if the sample/standard solution is prepared off-line and the sequential injection system is used just to inject the solution towards the flow cell. In-line sample conditioning reduces the sampling frequency to 44 h−1. Experiments were performed in 0.10 M NaCl, which was the carrier solution, using a frequency of 200 Hz, a pulse height of 25 mV, a potential step of 2 mV, and a flow rate of 100 µL s−1. For a concentration range between 0.010 and 0.25 mg L−1, the current ( ip, µA) read at the potential corresponding to the peak maximum fitted the following linear equation with the paraquat concentration (mg L−1): ip = (−20.5 ± 0.3) Cparaquat − (0.02 ± 0.03). The limits of detection and quantification were 2.0 and 7.0 µg L−1, respectively. The accuracy of the method was evaluated by recovery studies using spiked water samples that were also analyzed by molecular absorption spectrophotometry after reduction of paraquat with sodium dithionite in an alkaline medium. No evidence of statistically significant differences between the two methods was observed at the 95% confidence level. [Figure not available: see fulltext.]
ACCESSION #
48191148

 

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