| 偏最小二乘分光光度法同时测定Fe3+和Al3+ |
| |
| 引用本文： | 彭书传,黄川徽,陈天虎,姜绍通,冯友亮.偏最小二乘分光光度法同时测定Fe3+和Al3+[J].光谱学与光谱分析,2005,25(6):942-944. |
| |
| 作者姓名： | 彭书传 黄川徽 陈天虎 姜绍通 冯友亮 |
| |
| 作者单位： | 合肥工业大学资源与环境工程学院,安徽,合肥,230009;合肥工业大学资源与环境工程学院,安徽,合肥,230009;合肥工业大学资源与环境工程学院,安徽,合肥,230009;合肥工业大学资源与环境工程学院,安徽,合肥,230009;合肥工业大学资源与环境工程学院,安徽,合肥,230009 |
| |
| 基金项目： | 国家自然科学基金(40072017, 40472026)和合肥工业大学校科研发展基金(030702F)资助项目 |
| |
| 摘 要： | 以铬天青S(CAS)为显色剂,溴化十六烷基三甲胺(CTMAB)作为增溶增敏剂及丙酮作为稳定剂,采用偏最小二乘(PLS)分光光度法对Fe3 和Al3 同时测定。综合考虑光源稳定性,双组分吸光度加和性及线性等因素,选取6 10～6 70nm范围内7个波长以供多波长数据采集。作为比较,在后续数据分析中分别采用了CPA矩阵法和偏最小二乘法(PLS) ,结果表明后者具有明显的优势。
|
| 关 键 词： | 偏最小二乘法 CPA矩阵法 Fe3+和Al3+ 分光光度法 |
| 文章编号： | 1000-0593(2005)06-0942-03 |
| 修稿时间： | 2003年10月18 |
Partial Least-Squares Regression Analysis for Simultaneous Spectrophotometric Determination of Fe3+ and Al3+ |
| |
| PENG Shu-chuan,HUANG Chuan-hui,CHEN Tian-hu,JIANG Shao-tong,FENG You-liang.Partial Least-Squares Regression Analysis for Simultaneous Spectrophotometric Determination of Fe3+ and Al3+[J].Spectroscopy and Spectral Analysis,2005,25(6):942-944. |
| |
| Authors: | PENG Shu-chuan HUANG Chuan-hui CHEN Tian-hu JIANG Shao-tong FENG You-liang |
| |
| Institution: | School of Resources and Environment, Hefei University of Technology, Hefei 230009, China. |
| |
| Abstract: | Adding hexodecyltrimethylammonium bromide(CTMAB) to improve solubility and delicacy, and using chromazurol S as a chromogenic reagent, and acetone as a stabilizing reagent, partial least-squares regression(PLS) was used to determine simultaneously trace amounts of Fe(III) and Al(III) in sythetic samples. Considering the stability of the rays, and the absorption properties of the two ingredients, seven wavelengths between 610 and 670 nm were selected for data collection. As a comparison, the methods of CPA and PLS were used respectively for analysing the data obtained from the experiment, and the results suggested that the latter was much better. |
| |
| Keywords: | Partial least-squares regression (PLS) CPA Fe~(3 ) and Al~(3 ) Spectrophotometry |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
