用混合粘合剂碳糊电极测定丁螺环酮

用混合粘合剂碳糊电极测定丁螺环酮张正奇，曾鸽鸣，刘传桂，黎艳飞（湖南大学化学化工系，长沙４１００８２）碳糊电极无毒，制作方便，表面更新容易，应用电位范围广，在药物分析中已有应用［１～５］。我们在液体石腊中加入添加剂，组成混合粘合剂，可显著改善电极的检...     

CT造影剂碘海醇注射液的制备及动物实验

本文报道了非离子型Ｘ－ＣＴ造影剂碘海醇注射液的制备及动物实验结果。磺海醇的最大吸收波长λ＿（ｍａｘ）为２４４ｎｍ。讨论了温度、浓度对磺海醇溶液粘度的影响：粘度随温度的升高而下降，呈负线型相关；粘度随浓度（Ｃ）升高而激剧升高，与浓度的四次方呈线性相关：Ｖ＿（３７℃）＝４７２．５８９［Ｃ］￣４＋１．１２１（ｒ＝０．９９７７）Ｖ＿（３０℃）＝６６３．８１３［Ｃ］￣４＋１．１５２（ｒ＝０．９９９６）Ｖ＿（２０℃）＝１０８２．９５３［Ｃ］￣４＋１．４３３（ｒ＝０．９９８２）使用该注射液进行狗的造影实验，获得了清晰的造影图像。     

强化婴幼儿奶粉中叶酸的测定

强化叶酸的奶粉在0.05M K_2HPO_4缓冲液中,经均质,调pH4.5,15000g离心20分钟,其清液调pH4.0,进行CGS树脂离子交换层析,用10ml KClK_2HPO_4洗脱,调pH7.0,进行HPLC测定,采用300x3.9mm ODS反相柱,移动相0.05M K_2HPO+MeOH(91+9),流速1ml/分,紫外检测器波长285nm,灵敏度0.0050D。方法相对标准偏差为±3.3％,回收率为87％,最小检测量为0.02μg/ml。     

角膜地形图与角膜曲率计在白内障手术前后评价

本文应用计算机辅助的角膜地形图系统TMS-1和角膜曲率计TOPCONOM-4同时测定了200例(278眼)的角膜地形图和中央角膜屈光状态。比较了角膜地形图的模拟角膜曲率SIMK值和角膜曲率计的垂直和水平屈光度。结果显示,白内障术前组116例150眼的SIMK平均值分别为44.22D(垂直轴)和44.26D(水平轴),角膜曲率计的中央屈光度垂直轴平均为44.16D,水平轴为44.23D。统计学处理表明,2种组方法的结果之间差异无显著性(P>0.05),第2种术后组67例90眼的SIMK平均值分别为46.37D(垂直轴)和43.06D(水平轴),角膜曲率计的中央屈光度垂直轴平均为46.09D,水平轴平均为42.88D,统计学处理二种方法的结果之间差异无显著性(P>0.05)。研究提示,角膜地形图系统的模拟角膜曲率SIMK值和角膜曲率计的屈光度无论在白内障手术前还是在手术后其结果是一致的,临床应用具有同等的价值。但是,当角膜中央屈光度异常范围小于3毫米,角膜混浊,角膜严重不规则散光时,角膜曲率计不能满足临床需要。而计算机辅助的角膜地形图系统则具有极大的诊断及检测价值。眼科学报 1994;10:85—89。     

石刻雕塑作业劳动卫生学调查及实验研究

测定了石雕作业粉尘浓度，几何平均浓度为８２．３５～３．６７ｍｇ／ｍ３。工人职业性健康检查结果，接尘工人的咽部充血、咳嗽、咯痰检出率高于对照组；肺功能低下的检出率也高于对照组。该厂自１９７２年以来发生尘肺患者１７例，其病情发展和晋期缓慢，发病工龄长。动物实验研究表明，石雕粉尘有轻微的致纤维化作用。     

汤岗子矿泉浴对大鼠血液皮质醇及甲状腺素日生物周期节律影响的实验观察

本文报告大鼠分别在6时、12时、18时、24时接受汤岗子矿泉38～39℃浸浴15分钟后,立即断头取血测定血液皮质醇及甲状腺素(T_4)。在6时、24时的矿泉浸浴组大鼠血浆皮质醇比对照组明显升高。在12时、18时矿泉浸浴组大鼠血清T_4比对照组明显升高。说明肾上腺皮质及甲状腺功能对全身矿泉浸浴热刺激的反应也遵循日周期节律。为矿泉治疗的时间生物学理论提供依据。     

Evaluation of hypothesis testing for comparing two populations using NONMEM analysis.

In a simulation study of inference on population pharmacokinetic parameters, two methods of performing tests of hypotheses comparing two populations using NONMEM were evaluated. These two methods are the test based upon 95% confidence intervals and the likelihood ratio test. Data were simulated according to a monoexponential model and, in that context, power curves for each test were generated for (i) the ratio of mean clearance and (ii) the ratio of the population standard deviations of clearance. To generate the power curves, a range of these parameters was employed; other pharmacokinetic parameters were selected to reflect the variability typically present in a Phase II clinical trial. For tests comparing the means, the confidence interval tests had approximately the same power as the likelihood ratio tests and were consistently more faithful to the nominal level of significance. For comparison of the standard deviations, and when the volume of information available was relatively small, however, the likelihood ratio test was more able to detect differences between the two groups. These results were then compared to results on parameter estimation in order to gain insight into the question of power. As an example, the nonnormality of estimates of the ratio of standard deviations plays an important role in explaining the low power for the confidence interval tests. We conclude that, except for the situation of modeling standard deviations with only sparse information, NONMEM produces tests of significance that are effective at detecting clinically significant differences between two populations.