The effects of polymerization conditions including scan potential range, scan cycles, the concentration ratio of template molecules to functional monomer, pH of the buffer, and washing time for removing the template molecule from the imprinted polymer on the difference of zero current potential of benzidine ( BZ) interaction with BZ-MIP were investigated. The optimum preparations were obtained. The imprinted capacity of benzidine, 4-chloroaniline, and 4-aminobiphenyl and carmine was calculated as 0. 632, 0. 1123, 0. 1123, 0. 0847 and 0. 0725, respectively. This indicated that BZ-MIP had good specific recognition and selectivity to benzidine, and other substances did not interfere with the binding of BZ-MIP with BZ. The zero current potential variation was linear with the lorgarithm of BZ concentration in the range of 4í10-8-1í10-5 mol/Lwith detection limitation of 1. 89í10-8 mol/L. The sensor was used to detect BZ in waste water sample with recoveries of 95 . 7%-104 . 2%.

Objective To develop a tool capable of early and exactly predicting various outcomes in comatose survivors who restore spontaneous circulation after cardiopulmonary resuscitation (CPR) and validate its performance.Methods Variables that were both readily available and predictive of outcomes were identified by systematically reviewing published literature on resuscitation.A value was assigned to these variables.We used these variables in combination with APACHE Ⅱ/score to devise a multifactorial prediction score system,which we called PRCSs Prognostication Score (PRCSs-PS).Outcomes in 115 hospitalized comatose survivors after CPR were retrospectively reviewed using PRCSs-PS.Score of patients with different outcomes was compared.The area under the receiveroperating characteristic (ROC) curve was determined to evaluate performance of this tool to identify patients with a poor outcome (CPC4 and 5) and other outcomes (CPC1,2,and 3).Results There were differences of PRCSs-PS score among multiple groups with five different outcomes (CPC1-5)(F=65.91,P=0.000).Pairwise groups with different CPC were compared:no significant difference was noted between CPC 1 and CPC2 (12.41±6.49 vs 17.38±6.91,P=0.092),but difference between other pairwise CPC groups was statistically significant (CPC2 vs CPC3:17.38±6.91 vs 24.50±5.80,P=0.041,CPC3 vs CPC4:24.50±5.80 vs 32.29±5.24,P=0.006).The performance of PRCSs-PS to discriminate patients with a poor outcome from patients with other outcomes went as follows:it had 100% sensitivity,78.6% specificity,and 178.6 diagnostic index at the score cut-off22.5; it had 77.8% sensitivity,100% specificity and 176.4 diagnostic index at the score cut-off32.5.Score 23 and 33 were two key cut-offpoints.The area under the ROC curve was 0.968,showing excellent discrimination.Conclusions The final outcomes in post-resuscitation comatose survivors can be accurately predicted using PRCSs-PS Score.