期刊:
Advance Journal of Food Science and Technology,2013年5(2):99-105 ISSN:2042-4868
通讯作者:
Fan, Z.-Y.
作者机构:
[Zhi-Yong Fan; Ding-Gang Zhou] Department of Animal Science and Technology, Hunan Agricultural University, Changsha, 410128, China;[Zhi-Yong Fan; Ping Zhou] Department of Foreign Language, Hunan Agricultural University, Changsha, 410128, China;[Zhi-Yong Fan; Guo-Hua Liu] Key Laboratory of Feed Biotechnology, Ministry of Agriculture of the People's Republic of China, Beijing, 100081, China;[Zhi-Yong Fan; Zhong-Hua Liu] Research Center of Engineering Technology for Utilization of Functional Ingredients from Botanicals, Hunan Agricultural University, Changsha, 410128, China;[Zhi-Yong Fan; Xiao-Song Wu] Engineering Research Center for Feed Safety and Efficient Utilization, Ministry of Education, Hunan Agricultural University, Changsha, 410128, China
通讯机构:
[Fan, Z.-Y.] D;Department of Animal Science and Technology, Hunan Agricultural University, China
摘要:
A series of novel water soluble quinoline derivatives 1a∼1d were synthesized from 8-hydroxyquinoline and the fluorescence of these compouds had been quenched by Cu2+ or Fe3+ in absolute water. It was seen that the fluorescence of 1a was quenched by 93% with addition of 50 μM of Cu2+ in absolute water and 75% in the presence of 50 μM of Fe3+ with the quenching ratio (Cu2+ :Fe3+) of 1:0.80, showing much higher sensitivity and selectivity of Cu2+ to Fe3+. In addition, the presence of some other metal ions such as K+, Ca2+, Zn2+, Al3+, Mn2+, Fe2+, Ba2+, Co2+, Ni+, Cr3+, Cd2+, Cu2+, Hg2+, Pb2+, Sn2+, Na+ and Mg2+ had little influence on the selectivity and sensitivity of Cu2+. The easily availabe 1a could be considered a potential fluorescence sensor for Cu2+.
摘要:
Based on analyzing the traditional template matching algorithm, this paper identified the key factors restricting the speed of matching and put forward a brand new fast matching algorithm based on projection. Projecting the grayscale image, this algorithm converts the two-dimensional information of the image into one-dimensional one, and then matches and identifies through one-dimensional correlation, meanwhile, because of normalization has been done, when the image brightness or signal amplitude increasing in proportion, it could also perform correct matching. Experimental results show that the projection characteristics based image registration method proposed in this article could greatly improve the matching speed, which ensuring the matching accuracy as well.