首页> 美国卫生研究院文献>The Journal of Automatic Chemistry >Determination of Zinc-Based Additives in Lubricating Oils by Flow-Injection Analysis with Flame-AAS Detection Exploiting Injection with a Computer-Controlled Syringe
【2h】

Determination of Zinc-Based Additives in Lubricating Oils by Flow-Injection Analysis with Flame-AAS Detection Exploiting Injection with a Computer-Controlled Syringe

机译:流动注射-火焰原子吸收光谱法-计算机控制注射器进爆-进样分析法测定润滑油中锌基添加剂

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

A flow-injection system is proposed for the determination of metal-based additives in lubricating oils. The system, operating under computer control uses a motorised syringe for measuring and injecting the oil sample (200 μL) in a kerosene stream, where it is dispersed by means of a packed mixing reactor and carried to an atomic absorption spectrometer which is used as detector. Zinc was used as model analyte. Two different systems were evaluated, one for low concentrations (range 0–10 ppm) and the second capable of providing higher dilution rates for high concentrations (range 0.02%–0.2% w/w). The sampling frequency was about 30 samples/h. Calibration curves fitted a second-degree regression model (r 2 = 0.996). Commercial samples with high and low zinc levels were analysed by the proposed method and the results were compared with those obtained with the standard ASTM method. The t test for mean values showed no significant differences at the 95% confidence level. Precision (RSD%) was better than 5% (2% typical) for the high concentrations system. The carryover between successive injections was found to be negligible.
机译:提出了一种流动注射系统,用于测定润滑油中的金属基添加剂。该系统在计算机控制下运行,使用电动注射器测量和注入煤油流中的油样(200μL),并通过填充混合反应器将其分散并输送至用作检测器的原子吸收光谱仪。锌用作模型分析物。对两种不同的系统进行了评估,一种用于低浓度(0-10 ppm范围),另一种能够提供较高浓度的高稀释率(0.02%-0.2%w / w)。采样频率约为30个样本/小时。校正曲线拟合二级回归模型(r 2 = 0.996)。用建议的方法分析了高和低锌含量的商业样品,并将结果与​​标准ASTM方法获得的结果进行了比较。平均值的t检验表明在95%置信水平下无显着差异。对于高浓度系统,精密度(RSD%)优于5%(典型值2%)。发现连续进样之间的残留可以忽略不计。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号