Fully automated quantitative analysis of chloroaniline in personal cleansing liquid finished products

Kyoko Ida, Yukari Kobayashi
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Abstract

This presentation addresses an automated quantitative analysis designed for determination of chloroanilines (CA) in personal cleansing (PC) liquid products containing trichlorocarbonilide (TCC). These materials may be present as impurities in the germicides as used, or they may be formed from the germicides during processing. This is a fully automated analysis which covers everything from sample preparation to determination of CA at the parts per million level. The CA is diazotizated by addition of sodium nitrite. After a prescribed reaction time, the excess nitrous acid is destroyed with ammonium sulfamate. The diazotizated CA is derivatized with naphthylethylene diamine and the level determined by difference in the UV-VIS absorption at approximately on peak (555 nm) and background (660 nm). Linearity, accuracy, and precision ensure the validity of the robotics method. The method has a linearity working range from 0 to 100 ppm (correlation coefficient, R = 0.9995). The method gives acceptable recoveries: R = 102% for liquid soap. Relative standard deviation is 1.14%. These results demonstrate that the system can determine the concentration of CA in PC products. This automated CA analysis frees up analysts from routine laboratory work for more technically difficult projects. The robot is capable of managing 36 samples per day, which is more than three times higher capacity than the manual procedure. © 2000 John Wiley & Sons, Inc. Lab Robotics and Automation 12:282–285, 2000

个人清洁液成品中氯苯胺的全自动定量分析
本报告介绍了一种用于测定含有三氯碳化物(TCC)的个人清洁(PC)液体产品中氯苯胺(CA)的自动定量分析方法。这些物质可能以杂质的形式存在于所用的杀菌剂中,也可能是在加工过程中由杀菌剂形成的。这是一个完全自动化的分析,涵盖了从样品制备到测定百万分之一水平的CA的所有内容。通过添加亚硝酸钠使CA重氮化。在规定的反应时间后,过量的亚硝酸被氨基甲酸铵破坏。重氮化的CA与萘二胺衍生,其水平由大约在峰值(555 nm)和背景(660 nm)处的紫外-可见吸收差异确定。线性、准确度和精密度保证了机器人方法的有效性。该方法在0 ~ 100 ppm范围内具有良好的线性关系(相关系数R = 0.9995)。该方法可接受的回收率为:R = 102%。相对标准差为1.14%。结果表明,该系统可以测定PC产品中CA的浓度。这种自动化CA分析将分析人员从常规的实验室工作中解放出来,从事技术难度更高的项目。该机器人每天能够处理36个样本,比人工程序的处理能力高出三倍多。©2000 John Wiley &儿子,Inc。机械工程学报,2009 (12):387 - 398
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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