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采用批次式气液分离器辅助光化学蒸气发生与原子吸收分光光度法联用,实现对土壤基质中钴的准确、灵敏和精确测定。

Accurate, sensitive, and precise determination of cobalt in soil matrices by the combination of batch type gas-liquid separator-assisted photochemical vapor generation and atomic absorption spectrophotometry.

机构信息

Department of Chemistry, Yıldız Technical University, 34349, Istanbul, Turkey.

Department of Environmental Engineering, Atatürk University, 25250, Erzurum, Turkey.

出版信息

Environ Monit Assess. 2019 Apr 29;191(5):313. doi: 10.1007/s10661-019-7486-0.

Abstract

Determination of cobalt at low concentrations is an important issue because of its potential harmful effects on human health. Although flame atomic absorbance spectrometry (FAAS) is a fast and cheap method, it has high detection limits compared to other methods due to low nebulizer efficiency. In this study, the sensitivity, accuracy, and precision of the conventional FAAS were tried to be improved for cobalt determination using a photochemical vapor generation (PVG) system equipped with a batch type gas-liquid separator (BTGLS). The system parameters including organic acid type and concentration, UV irradiation period, mixing type, atomizer temperature, carrier gas flow rate, and sample volume were optimized to improve the detection power. The limits of detection and quantification were found to be 8.7 and 28.9 μg L, respectively. The low relative standard deviation results indicated high precision. Applicability and accuracy of the method to soil samples was determined by recovery studies and percent recoveries were obtained between 98.9-107.0%. Graphical abstract Please provide caption for the graphical abstract.PVG-BT-GLS-AAS system .

摘要

由于钴对人体健康的潜在有害影响,因此低浓度钴的测定是一个重要问题。尽管火焰原子吸收光谱法(FAAS)是一种快速且廉价的方法,但由于雾化器效率低,与其他方法相比,其检测限较高。在这项研究中,尝试使用配备批处理式气液分离器(BTGLS)的光化学汽相发生(PVG)系统来提高常规 FAAS 对钴的测定的灵敏度、准确性和精密度。优化了系统参数,包括有机酸的类型和浓度、UV 照射时间、混合方式、雾化器温度、载气流速和样品量,以提高检测能力。检测限和定量限分别为 8.7 和 28.9μg/L。低相对标准偏差的结果表明具有较高的精密度。通过回收研究确定了该方法对土壤样品的适用性和准确性,回收率在 98.9-107.0%之间。

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