光谱学与光谱分析 |
|
|
|
|
|
HP-β-CD Reduced the Interference of the Micellization on Spectrum Quantitative Analysis of SDBS in Oilfield Water |
SHI Dong-po, YIN Xian-qing, ZHENG Yan-cheng, CHEN Wu, FU Jia-xin, ZOU Hua, REN Zhao-hua |
Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University), Jingzhou 434023, China |
|
|
Abstract In this paper, the critical micelle concentration (cmc) values of sodium dodecyl benzene sulfonate (SDBS) in aqueous solution at different concentrations of hydroxypropyl-β-cyclodextrin (HP-β-CD) are determined by synchronous fluorescence spectrometry. The results indicated that, when the scanning wavelength difference of the synchronous fluorescence spectrum is 25 nm, both the critical micelle concentration value and the fluorescence intensity of SDBS will greatly increase in the presence of HP-β-CD. The standard molar Gibbs free energy for SDBS from aqueous HP-β-CD solution to the micelle, Δ<i>γGΘm, increases with increasing HP-β-CD concentration in aqueous solution, which showed that SDBS molecules are more likely to form inclusion complexes with HP-β-CD rather than micelles. The results of Job’s plot for inclusion complexation of SDBS with HP-β-CD indicated that “β-CD/SDBS” inclusion should be formed with the molar ratio of 1∶1 in aqueous solution. The effect of the formation of SDBS micelle on the quantitative determination of SDBS could be greatly reduced by adding HP-β-CD with the molar ratio of 1∶1. Thus, whether higher or lower than the critical micelle concentration value, the concentration of SDBS in water samples from T5-X15 and T9-X4 sites in LinPan oilfield could be calculated by establishing the quantitative standard curve of SDBS in aqueous HP-β-CD solution, and the recovery rate of SDBS was 100.5%~101.2%. The results of 1H-NMR and FT-IR showed that the phenyl group of SDBS molecule is likely located within the broad mouth of HP-β-CD molecule.
|
Received: 2015-04-24
Accepted: 2015-08-15
|
|
Corresponding Authors:
SHI Dong-po
E-mail: shidongpo2006@126.com
|
|
[1] Inceoglua O, Sablayrollesb C, Van Elsasa J D, et al. Applied Soil Ecology, 2013, 63: 78. [2] Okada D Y, Delforno T P, Esteves A S, et al. Bioresource Technology, 2013, 128: 125. [3] SHI Dong-po, YIN Xian-qing, ZHENG Yan-cheng, et al(石东坡, 尹先清, 郑延成, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2014, 34(9): 2460. [4] Ren Z H, Luo Y, Shi D P. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2013, 428: 18. [5] HUANG Zhen-jian, TAN Chun-hua, HUANG Xu-guang(黄振健, 谭春华, 黄旭光). Acta Physico-Chimica Sinica(物理化学学报), 2010, 26(5): 1271. [6] Chen Z G, Peng Y R, Xie F, et al. International Journal of Environment Analytical Chemistry, 2010, 90(7): 573. [7] Asok A K, Jisha M S. Water, Air, & Soil Pollution, 2012, 223(8): 5039. [8] Síma J, Pazderník M, Tríska J, et al. Journal of Environmental Science and Health Part A-Toxic/Hazardous Substances & Environmental Engineering, 2013, 48(5): 559. [9] Cantarero S, Camino-Sánchez F J, Zafra-Gómez A, et al. Marine Pollution Bulletin, 2012, 64 (3): 587. [10] Devi S, Chattopadhyaya M C. Journal of Surfactants and Detergents, 2013, 16(3): 391. [11] Lashermes G, Zhang Y, Houot S, et al. Journal of Environmental Quality, 2013, 42(2): 361. [12] Hampel M, Mauffret A, Pazdro K, et al. Environmental Monitoring and Assessment, 2012, 184(10): 6013. [13] Arvand M, Bozorgzadeh E, Shariati S, et al. Analytical Methods, 2012, 4(8): 2272. [14] Louiz S, Labiadh H, Abderrahim R. Spectrochimica Acta Part A: Molecular & Biomolecular Spectroscopy, 2015, 134: 276. [15] Mendes C, Buttchevitz A, Barison A, et al. Expert Review of Anti-Infective Therapy, 2015, 13 (1): 131. [16] Bendazzoli C, Mileo E, Lucarini M, et al. Microchimica Acta, 2010, 171(1/2): 23. [17] WANG Jian-ji, YANG Zhen-yu, YUE Yong-kui, et al(王键吉, 杨震宇, 岳永魁, 等). Acta Chimica Sinica(化学学报), 2003, 61(8): 1261. [18] Junquera E, Tardajos G, Aicart E. Langmuir, 1993, 9: 1213. |
[1] |
LIU Jia1, 2, GUO Fei-fei2, YU Lei2, CUI Fei-peng2, ZHAO Ying2, HAN Bing2, SHEN Xue-jing1, 2, WANG Hai-zhou1, 2*. Quantitative Characterization of Components in Neodymium Iron Boron Permanent Magnets by Laser Induced Breakdown Spectroscopy (LIBS)[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 141-147. |
[2] |
LIU Hao-dong1, 2, JIANG Xi-quan1, 2, NIU Hao1, 2, LIU Yu-bo1, LI Hui2, LIU Yuan2, Wei Zhang2, LI Lu-yan1, CHEN Ting1,ZHAO Yan-jie1*,NI Jia-sheng2*. Quantitative Analysis of Ethanol Based on Laser Raman Spectroscopy Normalization Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3820-3825. |
[3] |
LIN Hong-jian1, ZHAI Juan1*, LAI Wan-chang1, ZENG Chen-hao1, 2, ZHAO Zi-qi1, SHI Jie1, ZHOU Jin-ge1. Determination of Mn, Co, Ni in Ternary Cathode Materials With
Homologous Correction EDXRF Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3436-3444. |
[4] |
HUANG Li, MA Rui-jun*, CHEN Yu*, CAI Xiang, YAN Zhen-feng, TANG Hao, LI Yan-fen. Experimental Study on Rapid Detection of Various Organophosphorus Pesticides in Water by UV-Vis Spectroscopy and Parallel Factor Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3452-3460. |
[5] |
HUANG Meng-qiang1, KUANG Wen-jian2, 3*, LIU Xiang1, HE Liang4. Quantitative Analysis of Cotton/Polyester/Wool Blended Fiber Content by Near-Infrared Spectroscopy Based on 1D-CNN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3565-3570. |
[6] |
LI Zhong-bing1, 2, JIANG Chuan-dong2, LIANG Hai-bo3, DUAN Hong-ming2, PANG Wei2. Rough and Fine Selection Strategy Binary Gray Wolf Optimization
Algorithm for Infrared Spectral Feature Selection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3067-3074. |
[7] |
LIU Shu1, JIN Yue1, 2, SU Piao1, 2, MIN Hong1, AN Ya-rui2, WU Xiao-hong1*. Determination of Calcium, Magnesium, Aluminium and Silicon Content in Iron Ore Using Laser-Induced Breakdown Spectroscopy Assisted by Variable Importance-Back Propagation Artificial Neural Networks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3132-3142. |
[8] |
WANG Lin, WANG Xiang*, ZHOU Chao, WANG Xin-xin, MENG Qing-hui, CHEN Yan-long. Remote Sensing Quantitative Retrieval of Chlorophyll a and Trophic Level Index in Main Seagoing Rivers of Lianyungang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3314-3320. |
[9] |
KANG Ying1, ZHUO Kun1, LIAO Yu-kun1, MU Bing1, QIN Ping2, LI Qian1, LUAN Xiao-ning1*. Quantitative Determination of Alcohol Concentration in Liquor Based on Polarized Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2768-2774. |
[10] |
KONG De-ming1, LIU Ya-ru1, DU Ya-xin2, CUI Yao-yao2. Oil Film Thickness Detection Based on IRF-IVSO Wavelength Optimization Combined With LIF Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2811-2817. |
[11] |
ZHAO Yu-wen1, ZHANG Ze-shuai1, ZHU Xiao-ying1, WANG Hai-xia1, 2*, LI Zheng1, 2, LU Hong-wei3, XI Meng3. Application Strategies of Surface-Enhanced Raman Spectroscopy in Simultaneous Detection of Multiple Pathogens[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2012-2018. |
[12] |
CHENG Xiao-xiang1, WU Na2, LIU Wei2*, WANG Ke-qing2, LI Chen-yuan1, CHEN Kun-long1, LI Yan-xiang1*. Research on Quantitative Model of Corrosion Products of Iron Artefacts Based on Raman Spectroscopic Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2166-2173. |
[13] |
WANG Ke-qing1, 2*, WU Na1, 2, CHENG Xiao-xiang3, ZHANG Ran1, 2, LIU Wei1, 2*. Use of FTIR for the Quantitative Study of Corrosion Products of Iron
Cultural Relics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1846-1853. |
[14] |
ZHANG Qi-yan1, YANG Jie2, 3, LI Jian-guo1*, SHI Wei-xin1, GAO Peng-xin1. Research on Quantitative Identification of Rock Color Using
Spectral Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1905-1911. |
[15] |
WANG Dong1, 2, FENG Hai-zhi3, LI Long3, HAN Ping1, 2*. Compare of the Quantitative Models of SSC in Tomato by Two Types of NIR Spectrometers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1351-1357. |
|
|
|
|