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

Gustavo Pignalosa, Moisés Knochen, Noel Cabrera
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引用次数: 8

Abstract

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 muL) 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.

流动注射火焰原子吸收光谱法测定润滑油中锌类添加剂
提出了一种测定润滑油中金属基添加剂的流动喷射系统。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品(200 muL),在煤油流中,它通过填充混合反应器分散并携带到用作检测器的原子吸收光谱仪。锌作为模型分析物。评估了两种不同的系统,一种用于低浓度(范围0- 10ppm),另一种能够为高浓度(范围0.02%-0.2% w/w)提供更高的稀释率。采样频率约为30个样本/h。校正曲线符合二度回归模型(r(2) = 0.996)。用所提出的方法分析了高锌和低锌的商业样品,并将结果与ASTM标准方法进行了比较。平均值的t检验显示在95%置信水平上无显著差异。精密度(RSD%)优于5%(典型值2%)。发现连续注射之间的结转可以忽略不计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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