光谱学与光谱分析 |
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Study on Spectral Properties of 5-(Dimethylamino)-N-(4-(2-(2-Hydroxybenzylidene)Hydrazinecarbonyl)Phenyl)Naphthalene-1-Sulfonamide for Selective Detection of Zn2+ |
WU Hong-mei1, GUO Yu1, ZHOU Peng2 |
1. School of Chemical and Environmental Engineering, Liaoning University of Technology, Jinzhou 121001, China 2. State Key Laboratory of Fine Chemicals, Dalian University of Technology, Dalian 116012, China |
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Abstract A novel dansyl sulfonamide-based fluorescence probe DH1 [(E)-5-(dimethylamino)-N-(4-(2-(quinolin-2-ylmethylene)hydrazinecarbonyl)phenyl)aphthalene-1-sulfonamide] was synthesized for detection of Zn2+. Spectral properties of DH1 such as UV-Vis, fluorescence spectra and ESI-MS for recognition of Zn2+ were studied. Spectrophotometric titration and ESI-MS spectra indicate the formation of a 1∶1 complex of Zn2+ with DH1. The results show that DH1 has high quantum yield of 0.53 and low the detection limit of 1.0×10-7 mol·L-1 for detection of Zn2+ in acetonitrile/water(9∶1, volume ratio). Moreover, no fluorescence intensity changes were observed in the presence of other common metal ions such as K+, Li+, Na+, Mg2+, Ca2+, Cr3+, Mn2+, Ni2+, Pb2+, Cu2+, Cd2+, Co2+, Fe2+ and Hg2+, indicating that DH1 has excellent selectivity and high sensitivity for detection of Zn2+.
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Received: 2012-05-08
Accepted: 2012-07-15
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Corresponding Authors:
WU Hong-mei
E-mail: wuhongmei0331@126.com
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[1] Falchuk K H. Mol. Cell. Biochem., 1998, 188(1-2): 41. [2] Berg J M, Shi Y. Int. J. Environ. Res. Public Health, 2010, 7: 1342. [3] Frederickson C J, Bush A I. Biometals, 2001, 14: 353. [4] Cox E H, Mclecden G L. Curr. Opin. Chem. Biol., 2000, 4(2): 162. [5] Jiang P, Guo Z. Coord. Chem. Rev., 2004, 248(1-2): 205. [6] Moulis J M. Biometals, 2010, 23: 877. [7] Sousa S F, Fernandes P A, Ramos M J. J. Am. Chem. Soc, 2007, 129: 1378. [8] MA Wen-hui, XIA Wei, XU Qun, et al(马文辉, 夏 威, 徐 群, 等). Acta Chim. Sinica(化学学报), 2012, 70(7): 917. [9] Yang An-bo, Xu Zhu-xiong, Wu Jing, et al. Spectrochimica Acta Part A, 2011, 78: 1133. [10] Kimura E, Aoki S. Chem. Eur. J., 2012, 18(4): 1050. [11] Jiang P J, Chen L Z, Lin J, et al. Tetrahedron Letters, 2011, 52(21): 2645. [12] Mtivier R, Leray I, Valeur B. Dalton Trans, 2011, 40: 2451. [13] Lim M H, Lippard S J. Tetrahedron Letters, 2011, 52(46): 6133. [14] Nicole M B, Vladimir S T, Raymond J B, et al. Luminescence, 2011, 26(6): 523. [15] YANG Xi, PAN Zu-ting, MA Yong(杨 洗, 潘祖亭, 马 勇). Journal of Analytical Science(分析科学学报), 2003, 10(6): 588. [16] Wu H M, Zhou P, Wang J, et al. New J. Chem., 2009, 33(3): 653. [17] Bourson J, Pouget J, Valeur B J. Phys. Chem., 1993, 97(17): 4552.
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