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Synthesis, Crystal Structure and Ion Recognition of [ONSO] Salen Compounds |
LI Miao, DUAN Xiao-meng, JIA Tao, DUAN Zhong-yu*, LIU Bin-yuan* |
School of Chemical Engineering, Hebei University of Technology, Tianjin 300130, China
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Abstract Some heavy metal ions can be toxic to the environment and organisms even with low concentrations, thus, it is of great significance to study trace metal ion recognition. Because of its good selectivity, high sensitivity, low cost and real-time response, the fluorescence sensor has been widely applied. A novel class salen ligand L1 was synthesized with 2,4-di-tert-butyl-phenol, 3,5-di-tert-butyl-salicylaldehyde and 2-aminothiophenol. Its structure was characterized with1H NMR, 13C NMR, IR, elemental analysis and X-ray single crystal techniques. The single crystal structure of ligand L1 was obtained with free evaporation method, and the experimental results show that L1 is a hole plane[ONSO] four coordination environment of three inclined and P-1 space group. The recognition properties of the target compound L1 with metal ions (Li+,Na+,K+,Cd2+,Cs+,Co2+,Cu2+,Hg2+,Mn2+,Ni2+,Zn2+,Ag+) had been investigated with fluorescence spectrophotometry. The binding of L1 to Zn2+ are in 1∶1 stoichometry. The results showed that L1 exhibited the selective recognition to Zn2+, and the detection limit was down to 5.01×10-5 mol·L-1.
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Received: 2016-09-26
Accepted: 2016-12-29
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Corresponding Authors:
DUAN Zhong-yu, LIU Bin-yuan
E-mail: zyduan@hebut.edu.cn
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[1] Malavolta M, Piacenza F, Basso A, et al. Mechanisms of Ageing and Development, 2015, 151: 93.
[2] Roohani N, Hurrell R, Kelishadi R, et al. Journal of Research in Medical Sciences, 2013, 18(2): 144.
[3] Abbaspour N, Hurrell R, Kelishadi R. Journal of Research in Medical Sciences, 2014, 19(2): 164.
[4] Mikata Y, Sato Y, Takeuchi S, et al. Dalton Transactions, 2013, 42(26): 9688.
[5] Ponnuvel K, Kumar M, Padmini V. Sensors and Actuators B: Chemical, 2016, 227: 242.
[6] Hagimori M, Temma T, Mizuyama N, et al. Sensors and Actuators B: Chemical, 2015, 213: 45.
[7] Hagimori M, Uto T, Mizuyama N, et al. Sensors and Actuators B: Chemical, 2013, 181: 823.
[8] Dong Y, Li J, Jiang X, et al. Organic Letters, 2011, 13(9): 2252.
[9] Ballistreri F P, Pappalardo A, Tomaselli G A, et al. European Journal of Organic Chemistry, 2010, 2010(20): 3806.
[10] Li J, Wu Y, Song F, et al. Journal of Materials Chemistry, 2012, 22(2): 478.
[11] Huerta-Aguilar C A, Pandiyan T, Singh N, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2015, 146: 142.
[12] Hariharan P S, Hari N, Anthony S P. Inorganic Chemistry Communications, 2014, 48: 1. |
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