Cleavage of double-strand DNA by linear and triangular trinuclear copper complexes.

Two trinuclear copper(II) complexes with linear or triangular metal-binding pendants, [Cu(3)(L(1))](6+) (1) and [Cu(3)(L(2))](6+) (2), have been synthesized and characterized, where L(1)=N,N,N',N'-tetra[(2-pyridyl)methyl]-5,5'-bis(aminomethyl)-2,2'-dipyridyl, L(2)=N,N,N',N',N'',N''-hexa[(2-pyridyl)methyl]-1,3,5-tris(aminomethyl)-benzene. Interactions of them with calf thymus DNA have been investigated by measuring the changes in the melting temperature. The obtained DeltaT(m) values indicated that both 1 and 2 exhibited very high affinities towards DNA and strong destabilization of DNA, and were far better than their mononuclear analogues. In the absence of any reducing agent, 1 showed markedly higher nuclease activity than 2, and its hydrolytic process was further clarified in the presence of a few of radical scavengers. The pseudo Michaelis-Menten kinetic parameters (k(cat)) were determined through DNA cleavage versus the concentration of the complexes, to be 6.05 and 0.19 h(-1) for 1 and 2 respectively. Much higher nuclease activity of 1 is probably attributed to its linear multiple metal sites that fit well to the phosphodiester backbone of nucleic acid. DNA cleavage versus the concentration of DNA shows that rate constants rapidly increase at beginning and then markedly decrease with increasing DNA concentration. It is likely that excess substrates would promote intermolecular interaction between a complex and more plasmid DNA(s) and weaken its intramolecular cooperative effect that is propitious to DNA cleavage.

[Radial basis function networks and IR spectrometry applied for identification of official rhubarb samples].

The Fourier transform infrared spectrometry (FTIRS) and radial basis function neural network (RBF-NN) have been applied to develop classification models for identifying official and unofficial rhubarb samples. The original data were compressed from 775 variables to 49 variables by using wavelet transformation method. The compressed spectra with reduced variables maintain the characteristics of the IR spectra and speed up the network training process. The effects of network parameters including error goal and spread constant, were investigated. The rate of correct classification is up to 97.78% at optimized conditions. Results show that the combination of IRS and ANN can be used as fast and convenient tool for identification of Chinese herbal samples.

[Library search of UV spectra of organic environmental pollutants by temperature-constrained cascade-correlation networks].

A temperature-constrained cascade-correlation network (TCCCN) was used to identify ultraviolet (UV) spectra of organic environmental pollutants. Library search for UV spectra is more difficult than that for infrared (IR) spectra, because the UV spectra overlap more severely than IR spectra. Besides, drift and noise in the measurement will have significant effect on UV library spectra search. Therefore, neural networks with fuzzy output should be a better alternative for the library search. The TCCCN is different from the commonly used BP networks in architecture. The processing units in the TCCCN are connected in a cascade mode, and a temperature constraint is introduced. Therefore, the TCCCN can reduce overtraining and fast training speed. TCCCN was used for library search of UV spectra in the present work and the effects of network parameters and noise were investigated. Results showed that better results were obtained with the TCCCN than with conventional correlation method.

[Major, minor and trace-elemental contents analysis in northeast soybeans by ICP-AES].

Major, minor and trace elemental contents in northeast China soybeans were determined by using inductively coupled plasma atomic emission spectrometry (ICP-AES). Three different sample digestion methods including two wet digestions, HNO3-HClO4 and HNO3-H2SO4 and a dry ash method were compared. Owing to the high oil content in soybeans, long time is needed and access acid should be added with mixed acid digestion methods, which may result in higher sample blank. Therefore, the dry ask method would be more proper for the pre-treatment of soybean samples. Potassium and phosphorus are major elements in soybeans, so the effect of potassium and phosphorus on the other elements was investigated. Results showed that the potassium and phosphorus did not affect the determination of other trace elements. There are not significant differences in trace elemental contents for the eleven northeast China soybeans.