Quantitative analysis of phenobarbital in biological fluids: Analyte enrichment by an electrically-assisted microextraction technique

An electrically-assisted microextraction method called electromembrane extraction, followed by a simple high performance liquid chromatography and ultraviolet detection was developed and validated for determining phenobarbital in biological samples. The major parameters influencing the electromembrane extraction procedure including solvent composition, voltage, pH of acceptor and donor solutions, salt effect, and time of extraction were evaluated and optimized. The drug was extracted from the donor aqueous sample solution (pH 9) to the acceptor aqueous solution (pH 13). The donor and acceptor phases were separated by a hollow fiber dipped in 1-octanol as a supported liquid membrane. A voltage of 40 V during 20 minutes was applied as the driving force. The enrichment factor was obtained >51 which enhanced the sensitivity of the instrument. Limit of detection and limit of quantitation were 7.5 and 25 ng/mL, respectively. The method was linear over the range of 25-1000 ng/mL for phenobarbital (R2 >0.9998) with repeatability (%RSD) between 0.4% and 6.8% (n = 3). The proposed method was successfully applied to human plasma and urine samples with relative recovery of 70-80% and %RSD < 6.8%.

Evaluating quality of health services in health centres of Zanjan district of Iran.

To assess quality of health services in Zanjan health centres based on clients' expectations and perceptions. The study was conducted by using service quality (SERVQUAL) scale on a sample of 300 females, clients of health care centres in the district of Zanjan, selected by cluster sampling. The results indicated that there were negative quality gaps at five SERVQUAL dimensions. The most and least negative quality gap mean scores were in reliability dimension (-2.1) and tangible (-1.13) respectively. There was statistically significant difference between clients' perceptions and expectations mean scores at all of the five service quality dimensions (P<0.001). The negative quality gap level in health service dimensions can be used as a guideline for redistribution of resources and managerial attempts to reduce quality gaps and improvement of health care quality.