Background: Ropinirole is a non-ergot dopamine agonist indicated
for Parkinson disease and restless leg syndrome. The adverse effects
associated with its use are nausea (40-69%) and dizziness, etc.
Objective: In order to decrease its dose-dependent adverse effects and
monitoring its levels for each individual patient, a more sensitive and
cost-effective monitoring techniques were in demand.
Method: Microextraction technique using hollow fiber has been introduced for
the analysis of agents at trace levels, which was coupled with HPLC-UV in
this study. This sample preparation technique was used to determine the
trace level of ropinirole in urine samples. The experiments were designed
using Minitab and the results were optimized using MATLAB software. The
method was simply and easily implemented by applying a pH gradient of 2
(acceptor phase) and 9 (donor phase) and n-octanol as the organic solvent,
entrapped in the pores of the hollow fiber. Other factors affecting the
preconcentration and microextraction such as stirring rate, temperature, and
salt addition were optimized
Results: Under optimum conditions, the following results were obtained:
Preconcentration factor (PF): 122; Limit of detection (LOD): 0.0010 mg L-1;
Limit of quantitation (LOQ) :0.0031 mg L-1; R2:0.994; RSD: 1.15%(interday)
and 1.5% intraday; and R: 12.61%.
Conclusion: The advantage of using MATLAB was that it provided the optimum
range instead of the optimum points for each parameter, enabling us to
predict the conditions required for microextraction of similar drugs,
needless to do extra experiments.