光学与光电技术, 2017, 15 (4): 43, 网络出版: 2017-11-21  

基于荧光光谱技术对常用洗衣粉中表面活性剂含量的测定

Detection of the Surfactant Content in Washing Powder Based on Fluorescence Spectroscopy
作者单位
燕山大学电气工程学院, 河北省测试计量技术及仪器重点实验室, 河北 秦皇岛 066004
引用该论文

王书涛, 张强, 魏蒙, 王志芳, 张彩霞, 杨雪莹. 基于荧光光谱技术对常用洗衣粉中表面活性剂含量的测定[J]. 光学与光电技术, 2017, 15(4): 43.

WANG Shu-tao, ZHANG Qiang, WEI Meng, WANG Zhi-fang, ZHANG Cai-xia, YANG Xue-ying. Detection of the Surfactant Content in Washing Powder Based on Fluorescence Spectroscopy[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2017, 15(4): 43.

参考文献

[1] 张华涛. 中国洗衣粉及其助剂市场浅析[J]. 中国洗涤用品工业, 2011(3): 43-49.

    Zhang Hua-tao. China’s detergent and its additives market analysis [J]. China Cleaning Products Industry, 2011 (3): 43-49.

[2] 马长英, 朱琳. 关于含磷洗衣粉对水污染的综述[J]. 西昌学院学报: 自然科学版, 2006, 20(1): 50-53.

    MA Chang-ying, ZHU Lin. Study on water pollution of phosphorus-containing detergent powder [J]. Journal of Xichang College: Natural Science Edition, 2006, 20 (1): 50-53.

[3] 王宝辉, 张学佳, 纪巍, 等. 表面活性剂环境危害性分析[J]. 化工进展,2007, 26(9): 1263-1268.

    WANG Bao-hui, ZHANG Xue-jia, JI Wei, et al. Environmental hazard analysis of surfactants[J]. Progress in Chemical Industry, 2007, 26 (9): 1263-1268.

[4] 张华, 王英锋, 施燕支, 等. 高效液相色谱及联用技术在砷形态分析中的应用[J],光谱学与光谱分析,2007, 27(2): 386-390.

    Zhang Hua, Wang Yingfeng, Shi Yanzhi, et al. Application of high performance liquid chromatography and combined technology in arsenic speciation analysis [J]. Chinese Journal of Spectroscopy and Spectroscopy, 2007,27 (2): 386-390

[5] Alvarez Munoz D, Saez M. New extraction method for the analysis of linear alkylbenzene sulfonates in marine organisms: Pressurized liquid extraction versus Soxhlet extraction[J]. J Chromatogr A, 2004, 1052: 33-38.

[6] Bronuo F, Curini R, Di Corcia A, et al. Determination of surfactants and some of their metabolites in untreated and anaerobically digested sewage sludge by subcritical water extraction followed by liquid chromatography-mass spectrometry[J]. Environ Sci. Technol., 2002, 36: 4156-4161.

[7] MA Hai-yan, Pan Yi, Yang Shuang-chun. Study on determining methods of anionic surfactants[J]. Contemporary Chemical Industry, 2013(3): 373-375.

[8] 王惠敬, 王佩维, 关景才. 高效液相色谱法直接测定洗衣粉中直链烷基苯磺酸钠[J]. 理化检验-化学分册, 2008, (10): 917-920.

    WANG Hui-jing, WANG Pei-wei, GUAN Jing-cai. Preparation of direct alkyl benzenesulfonate in aashing powder by high performance liquid chromatography [J]. Physical Testing and Chemical Analysis Part B: Chemical Analysis, 2008, (10): 917-920.

[9] 史晓凡, 李心倩, 许英健, 等. 高效液相色谱法鉴定蓝色圆珠笔油墨字迹的书写时间[J]. 光谱学与光谱分析, 2006, 26(9): 1765-1768.

    SHI Xiao-fan, LI Xin-qian, XU Ying-jian, et al. Identification of ink writing in blue ballpoint pen by high performance liquid chromatography [J]. Chinese Journal of Spectroscopy and Spectroscopy, 2006, 26 (9): 1765-1768

[10] 赵志刚, 缪凯, 吕慧显. RBF神经网络的混合结构优化算法[J]. 仪器仪表学报, 2007, 28(4): 650-656.

    ZHAO Zhi-gang, MIAO Kai, LU Hui-xing. Mixed structure optimization algorithm for RBF neural networks [J] . Journal of Instrumentation, 2007, 28 (4): 650-656.

[11] 庞鸿锋, 罗飞路, 陈棣湘, 等. 磁力仪温度误差的径向基神经网络补偿模型[J]. 仪器仪表学报, 2012, 33(3): 695-700.

    PANG Hong-feng, LUO Fei-lu, CHEN Di-xiang, et al. Non-based neural network compensation model for temperature error of magnetometer [J] .Journal of Instrumentation, 2012, 33 (3): 695-700.

[12] ZHANG Yi-bo, HE Huan, MENG Qing-fan, et al. Application of near infrared reflectance spectroscopy-radial basis function neural network for non-destructive determination of coriolus versicolor [J]. Acta Optica Sinica, 2010, 30(12): 3552-3557.

[13] 熊宇虹, 温志渝, 王命延, 等. 基于神经网络的光谱识别系统的设计与分析[J]. 光谱学与光谱分析, 2007, 27(1): 139-142.

    XIONG Yu-hong, WEN Zhi-yu, WANG Ming-yan, et al. Design and analysis of spectral recognition system based on neural network [J]. Spectroscopy and Spectral Analysis, 2007,27 (1): 139-142.

王书涛, 张强, 魏蒙, 王志芳, 张彩霞, 杨雪莹. 基于荧光光谱技术对常用洗衣粉中表面活性剂含量的测定[J]. 光学与光电技术, 2017, 15(4): 43. WANG Shu-tao, ZHANG Qiang, WEI Meng, WANG Zhi-fang, ZHANG Cai-xia, YANG Xue-ying. Detection of the Surfactant Content in Washing Powder Based on Fluorescence Spectroscopy[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2017, 15(4): 43.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!