Quantitative analysis of mixed hydrofluoric and nitric acids using Raman spectroscopy with partial least squares regression

被引:10
作者
Kang, Gumin [1 ]
Lee, Kwangchil [1 ]
Park, Haesung [1 ]
Lee, Jinho [1 ]
Jung, Youngjean [1 ]
Kim, Kyoungsik [1 ]
Son, Boongho [2 ]
Park, Hyoungkuk [2 ]
机构
[1] Yonsei Univ, Sch Mech Engn, Seoul 120749, South Korea
[2] Tech Res Lab, POSCO Instrumentat Res Grp, Pohang 790785, Gyeongbuk, South Korea
关键词
Raman spectroscopy; Hydrofluoric acid (HF); Nitric acid (HNO3); Partial least squares regression (PLSR); Net analyte signal (NAS); Figures of merit (FOM); MULTIVARIATE CALIBRATION; STAINLESS-STEEL; QUANTIFICATION; FLUORIDE; FIGURES; MERIT; SPECIATION;
D O I
10.1016/j.talanta.2010.02.045
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Mixed hydrofluoric and nitric acids are widely used as a good etchant for the pickling process of stainless steels. The cost reduction and the procedure optimization in the manufacturing process can be facilitated by optically detecting the concentration of the mixed acids In this work, we developed a novel method which allows us to obtain the concentrations of hydrofluoric acid (HF) and nitric acid (HNO3) mixture samples with high accuracy The experiments were carried out for the mixed acids which consist of the HF (0 5-3 wt%) and the HNO3 (2-12 wt%) at room temperature Fourier Transform Raman spectroscopy has been utilized to measure the concentration of the mixed acids HF and HNO3, because the mixture sample has several strong Raman bands caused by the vibrational mode of each acid in this spectrum The calibration of spectral data has been performed using the partial least squares regression method which is ideal for local range data treatment. Several figures of merit (FOM) were calculated using the concept of net analyte signal (NAS) to evaluate performance of our methodology. (C) 2010 Elsevier B.V. All rights reserved
引用
收藏
页码:1413 / 1417
页数:5
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