| 聚氯乙烯溶液浓度的拉曼光谱检测 |
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| 引用本文： | Huang ZL,Wang JD,Jiang BB,Yang YR,Chen JX,Liao ZW. 聚氯乙烯溶液浓度的拉曼光谱检测[J]. 光谱学与光谱分析, 2011, 31(3): 704-708. DOI: 10.3964/j.issn.1000-0593(2011)03-0704-05 |
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| 作者姓名： | Huang ZL Wang JD Jiang BB Yang YR Chen JX Liao ZW |
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| 作者单位： | 浙江大学化学工程国家重点实验室,浙江,杭州,310027;浙江大学化学工程与生物工程学系,浙江,杭州,310027 |
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| 基金项目： | 国家自然科学基金项目,国家高技术研究发展计划项目,中央高校基本科研业务费专项资金 |
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| 摘 要： | 借助拉曼光谱,对聚氯乙烯(PVC)-环己酮溶液的浓度进行了检测.通过偏最小二乘法(PLS)分析发现,第一项 PLS 成分(factor 1)的得分与 PVC 溶液浓度成正比关系,factor 1 的载荷分布能有效地反映出溶液浓度与溶液中的 PVC 和环已酮含量的关系.建立了 PVC 溶液浓度的 PLS 回归预测模型,模...
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| 关 键 词： | 拉曼光谱 聚氯乙烯 偏最小二乘法 内标法 |
Quantitative determination of PVC concentration by Raman spectrum |
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| Huang Zheng-liang,Wang Jing-dai,Jiang Bin-bo,Yang Yong-rong,Chen Jie-xun,Liao Zu-wei. Quantitative determination of PVC concentration by Raman spectrum[J]. Spectroscopy and Spectral Analysis, 2011, 31(3): 704-708. DOI: 10.3964/j.issn.1000-0593(2011)03-0704-05 |
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| Authors: | Huang Zheng-liang Wang Jing-dai Jiang Bin-bo Yang Yong-rong Chen Jie-xun Liao Zu-wei |
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| Affiliation: | State Key Laboratory of Chemical Engineering, Zhejiang University, Hangzhou 310027, China. huangzhengl@zju.edu.cn |
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| Abstract: | Quantitative determination of polyvinyl chloride (PVC) concentration by Raman spectrum was studied in the present work. According to partial least squares (PLS) analysis, it was found that scores of PLS factor 1 were proportional to the concentrations of the sample solutions. Meanwhile, the loadings of factor 1 could reflect the contents of PVC and cyclohexanone simultaneously. The PLS regression model for PVC concentration prediction was built. The values of r and root mean square error (RMSE) between predictive results and actual values were 0.9963 and 2.775, respectively. The Raman characteristic peaks of PVC and cyclohexanone were found, including the C-Cl bond for PVC (620 and 695 cm(-1)) and the alicyclic ketone for cyclohexanone (1709 cm(-1)). By using internal standard method, another model for PVC concentration prediction was established, and the values of r and RMSE were 0.9941 and 3.151, respectively. The results indicated that it is feasible to use Raman spectrum to detect the PVC concentration, which is of significant importance to PVC recycling. |
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