A flow-injection analysis (FIA) new method of a continuous ion-exchange pretreatment and separation is given for the simultaneous determination of silicate and phosphate in biological samples. To remove interfering cations, the sample solution passes through the mini cation-exchange column connected at the inlet and outlet of one of the loading loops of a two-channel valve, and it again passes through another loading loop of the valve for sampling. After the valve is switched to the inject position, the defined sample is injected and passed through the seperation column, and silicate and phosphate ions in the sample zone are separated. At the same time, the mini cation-exchange column is switched to the regeneration position and regenerated by a regenerant. By this manner, the sample pretreatment and determination can be made continuously. The approach is extendable to other anion analyses in various biological samples without matrix matching. This article gives a description of simultaneously determining silicate and phosphate in human hair, mussel, tea leaves, sargasso, and rice flour with the flow-injection system. Regression equations of the calibration curves were Y1 = 0.7183C− − 0.0621 (r = 0.9998); Y2 = 0.4324CPO43− − 0.0963 (r = 0.9998). About 30 samples can be analyzed per hour. Determination ranges are within 0.1–10 mg/L for SiO32− and 2.0–30 mg/L for PO43−. Relative standard deviations for metasilicate and orthophosphate were less than 1.8 and 1.3%, respectively. Recovery ranges of SiO32− and PO43− in the samples are 100–107% and 97–104%, respectively. The results are in agreement with those obtained by classical procedure. Matrix effects were also investigated, and it was found that metallic cations in matrix effect positively on the simultaneous determination, and the slop of the calibration curve is increased with the increase of the kind and concentration of metallic cations. Silicate contents in mussel, tea leaves, and sargasso are reported in the present work for the first time. © 1997 John Wiley & Sons, Inc. Lab Robotics and Automation 9: 55–67, 1997.
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