四中位（邻烷基）苯基卟啉及其高铁络合物的合成及光谱性质

合成了６种不同大小的烷基取代的四中位（邻烷基）苯基卟啉Ｔ＿（Ｏ－Ｒ）ＰＰＨ＿２及其高铁络合物Ｔ＿（Ｏ－Ｒ）ＰＰＦｅＣｌ（Ｒ＝ＣＨ＿３，Ｃ＿２Ｈ＿５，ｎ－Ｃ＿３Ｈ＿７，ｉ－Ｃ＿３Ｈ＿７，ｎ－Ｂｕ，ｔ－Ｂｕ），除Ｒ＝ＣＨ＿３外，其它５种是文献未曾报道过的新化合物。测定了它们的核磁共振谱、红外及电子光谱，并讨论了它们的结构与光谱性质的关系．     

邻菲啰啉和过氧化氢对锰－卟啉显色反应的影响

本文研究了在邻菲啰啉，过氧化氢存在下，Ｔ（４－ＭＰ）ＰＳ＿４、ＴＰＰＳ＿４、Ｔ（４－ＭＯＰ）ＰＳ＿４、Ｔ（４－ＨＰ）ＰＳ＿４、Ｔ（３－ＣＩＰ）ＰＳ＿４、Ｔ（３－ＢｒＰ）ＰＳ＿４等六种卟啉试剂与锰的显色反应。结果表明，当溶液ｐＨ为９．１５～９．３５时，邻菲啉和过氧化氢对锰与卟啉试剂显色反应协同增敏作用显著。加入表面活性剂ＣＴＭＡＢ，增强了配合物的稳定性和灵敏度。表观摩尔吸光系数高达１０￣７Ｌ·ｍｏｌ￣（－１）·ｃｍ￣（－１）。本法用于测定食品中的痕量锰，结果满意。     

稀土（Ⅲ）（4＇－溴－5＇－硝基苯并－15－冠－5）配合物的制备与表征

在乙腈和丙酮介质中合成了６种轻稀土硝酸盐与４＇－溴－５＇－硝基苯并－１５－冠－５（Ｌ）的固体配合物，经元素分析确定其组成为ＲＥ（ＮＯ＿３）＿３·Ｌ（ＲＥ＝－Ｌａ～Ｎｄ），Ｓｍ（ＮＯ＿３）＿３·Ｌ·Ｈ＿２Ｏ和Ｅｕ（ＮＯ＿３）＿３·Ｌ·ＣＨ＿３ＣＮ·４Ｈ＿２Ｏ，并进行了ＩＲ、ＵＶ、ＴＧ－ＤＴＡ、摩尔电导及Ｘ－射线粉末衍射物相分析等表征，探讨了冠醚苯基上引入双取代基（－Ｂｒ，－ＮＯ＿２）后对稀土离子配位作用的影响．     

CO／H_2合成甲醇CuO－ZnO－ZrO_2催化剂的研究

通过活性测定，ＸＲＤ、ＴＧ－ＤＴＡ表征，考察了共沉淀法制备的铜锌锆合成甲醇催化剂中ＺｒＯ＿２对物相结构、催化活性及热稳定性的影响。结果表明，ＺｒＯ＿２能显著提高ＣＯ／Ｈ＿２合成甲醇的催化活性和热稳定性。催化剂母体、氧化态和还原态的物相并未发生变化，仍分别为：Ｃｕ＿２（ＯＨ）＿３ＮＯ＿３，（Ｃｕ，Ｚｎ）＿５（ＣＯ＿３）＿２（ＯＨ）＿６，（Ｃｕ，Ｚｎ）＿２ＣＯ＿３（ＯＨ）＿２，Ｚｎ＿５（ＣＯ＿３）＿２（ＯＨ）＿６；ＣｕＯ、２ｎＯ；Ｃｕ，ＺｎＯ。ＺｒＯ＿２使催化剂各组分的结晶度变得更差，晶粒更细。实验证明催化剂中ＺｒＯ＿２主要以无定形状态存在，也不排除与其它组分形成固溶体。本文还探讨了ＺｒＯ＿２提高催化活性和热稳定性的原因。认为ＺｒＯ＿２既起了载体的高分散作用，间隔活性组分作用，又起了增加和稳定活性中心的促进剂作用。     

两类稀土钒酸盐的合成与结构

通过（１）ＬｎＯＣｌ／Ｖ＿２Ｏ＿５，（２）ＬｎＣｌ３／Ｖ及（３）ＬｎＯＣｌ／ＬｎＣｌ／Ｖ＿２Ｏ＿５／Ｖ的高温固态化学反应，得到两种稀土钒酸盐：Ｌｎ＿６Ｖ＿３Ｃｌ＿（１０）Ｏ＿（１２）（Ｌｎ＝Ｌａ）及Ｌｎ＿４Ｖ＿５Ｓｉ＿４Ｏ＿（２２）（Ｌｎ＝Ｌａ～Ｎｄ）。Ｌａ＿６Ｖ＿３Ｏ＿（１０）Ｏ＿（１２）晶体呈浅色透明片状，其结构可认为是由［Ｌａ＿３（ＶＯ＿４）＿３Ｃｌ］单元插入到ＬａＣｌ３结构单元中而形成的，在结构中沿ｃ轴方向存在一系列截面积为１９．１的空洞。Ｌｎ＿４Ｖ＿５Ｓｉ＿４Ｏ＿（２２）（Ｌｎ＝Ｌａ，Ｃｅ，Ｐｒ，Ｎｄ）晶体呈，黑色针状，其结构可认为是由交替的稀土钒硅酸盐薄层及钒氧金红石层沿ｃ轴堆叠而表现为准二维Ｃｈｅｖｋｉｎｉｔｅ型结构。     

SOLID STATE REDOX REACTION OF ［Fe（bpy）_3］（CIO_4）_3 WITH NaNO_2 AT ROOM TEMPERATURE

ＳＯＬＩＤＳＴＡＴＥＲＥＤＯＸＲＥＡＣＴＩＯＮＯＦ［Ｆｅ（ｂｐｙ）＿３］（ＣＩＯ＿４）＿３ＷＩＴＨＮａＮＯ＿２ＡＴＲＯＯＭＴＥＭＰＥＲＡＴＵＲＥ￥ＷｅｉＨｕａＣＨＡＮＧ；ＣｈｕＲｕＧＯＮＧ（ＤｅｐａｒｔｍｅｎｔｏｆＣｈｅｍｉｓｔｒｙ，ＨｕｂｅｉＮｏｒ...     

稀土－二苯甲酰甲烷－三辛基氧化膦三元配合物的合成、表征、荧光特性及成膜性能

合成了三个稀土－二笨甲酰甲烷－三辛基氧化膦三元配合物Ｌｎ（ＤＢＭ）＿３·ＴＯＰＯ（Ｌｎ＝Ｙ、Ｅｕ、Ｅｒ）。用红外光谱、紫外光谱及差热—热重谱对其进行了表征，同时还研究了Ｅｕ（ＤＢＭ）＿３·Ｈ＿２Ｏ（Ａ）和Ｅｕ（ＤＢＭ）＿３·ＴＯＰＯ（Ｂ）在固态下及ＣＨＣｌ＿３溶液中的荧光光谱和荧光寿命，结果表明在ＣＨＣｌ＿３溶液中，Ｂ的荧光强度为Ａ的４８倍，其荧光寿命分别为（１４９±１０）μｓ和（８６±１０）μｓ。另外对这些化合物在空气／水界面的单分子膜行为也进行了研究。     

氧化镧催化剂上甲烷氧化偶联—不同制备方法的比较

本文研究了５种不同制法的Ｌａ＿２Ｏ＿３对甲烷氧化偶联的催化性能，其Ｃ＿２选择性和Ｃ＿２收率的相对顺序为：Ｌａ＿２Ｏ＿３（１）＞Ｌａ＿２Ｏ＿３（２）＞Ｌａ＿２Ｏ＿３（４）＞Ｌａ＿２Ｏ＿３（５）＞Ｌａ＿２Ｏ＿３（３）。并运用ＸＲＵ、ＸＰＳ、ＣＯ＿２－ＴＰＤ、ＮＨ＿３－ＴＰＤ和ＩＰＡ转化反应等技术分别对催化剂的体相结构和表面性质，表面酸碱性进行了测定。结果表明，由于制备方法的不同，导致了Ｌａ＿２Ｏ＿３晶体表面结构的差异，这是影响催化性能的主要原因。同时还发现，催化剂的活性和Ｃ＿２选择性与表面酸碱性存在着相依性，Ｌａ＿２Ｏ＿３表面的总碱位数与总酸位数的比值，与其催化性能有较好的直接对应关系。     

BTMPPA与HPMBP协同萃取稀土元素（Ⅲ）的研究

研究了二（２，４，４－三甲基戊基）膦酸（ＢＴＭＰＰＡ，ＨＬ）和１－苯基－３－甲基－４－苯甲酰基吡唑酮－５（ＨＰＭＢＰ，ＨＡ）的苯溶液在不同矿物酸介质中，对稀土元素（Ⅲ）的ＡＡ类协同革取。以Ｎｄ￣（３＋）、Ｙｂ￣（３＋）为例，研究了ＢＴＭＰＰＡ－ＨＰＭＢＰ苯溶液从ＨＮＯ＿３介质中协同萃取稀土元素（Ⅲ）的机理。用斜率法确定了协萃配合物组成为Ｎｄ（ＨＬ＿２）Ａ＿２、Ｙｂ（ＨＬ）２）＿２·Ａ·ＨＡ，计算了协萃平衡常数。     

α－Fe_2O_3／SnO_2气敏薄膜的结构与性质

α－Ｆｅ＿２Ｏ＿３／ＳｎＯ＿２气敏薄膜的结构与性质娄向东，杨秀清，李靖华，沈荷生，沈瑜生（河南师范大学化学系新乡４５３００２）（中国科学技术大学材料科学与工程系合肥）关键词α－Ｆｅ＿２Ｏ＿３，ＳｎＯ＿２，双层膜，气敏性能α－Ｆｅ＿２Ｏ＿３具有刚玉结构...     

mCMC-PEG/mCS-PEG双极膜的制备与表征

以Fe3+改性羧甲基纤维素(mCMC)和聚乙二醇(PEG)共混为阳膜;以戊二醛改性壳聚糖(mCS)和聚乙二醇共混为阴膜,制备了mCMC-PEG/mCS-PEG双极膜.以FTIR测定了膜红外光谱,以扫描电镜观察了膜表面和界面层的形态,以TG进行膜的热重分析.测定了mCMC-PEG和mCS-PEG不同比例共混膜的含水率、离子交换容量、溶胀度,及mCMC-PEG/mCS-PEG双极膜的电性能.研究结果表明,在双极膜材料中引入亲水性的聚乙二醇后,因分子间的相容性增大,故而提高了双极膜的离子交换容量,并减小了膜的溶胀性.当CMC∶PEG质量比等于10∶1和CS∶PEG质量比等于2∶1时所制得的双极膜具有良好的电化学性能,在酸碱溶液中机械强度高、溶胀小.     

Direct analysis of blood serum by total reflection X-ray fluorescence spectrometry and application of an artificial neural network approach for cancer diagnosis

Iron, copper, zinc and selenium were determined directly in serum samples from healthy individuals (n=33) and cancer patients (n=27) by total reflection X-ray fluorescence spectrometry using the Compton peak as internal standard [L.M. Marcó P. et al., Spectrochim. Acta Part B 54 (1999) 1469–1480]. The standardized concentrations of these elements were used as input data for two-layer artificial neural networks trained with the generalized delta rule in order to classify such individuals according to their health status. Various artificial neural networks, comprising a linear function in the input layer, a hyperbolic tangent function in the hidden layer and a sigmoid function in the output layer, were evaluated for such a purpose. Of the networks studied, the (4:4:1) gave the highest estimation (98%) and prediction rates (94%). The latter demonstrates the potential of the total reflection X-ray fluorescence spectrometry/artificial neural network approach in clinical chemistry.     

二甲醚电氧化增强电化学表面积的研究(英)

0IntroductionFuel cells em ploying polym er(e.g.,N afion m em-branes)as the electrolyte are receiving increasing at-tention.The m em brane-electrode assem bly(M EA),com prising of a proton conducting m em brane sand-wiched between tw o gas diffusion elect…     

脂肪族聚碳酸酯型聚氨酯/聚甲基丙烯酸甲酯互穿网络聚合物的研究

用同步法合成了聚碳酸亚丙酯聚氨酶／聚甲基丙烯酸甲醇互穿网络聚合物（PPCPU／PMMA，IPN），调节IPN中两组分配比制备出多种高聚物共混物。用DSC、TEM对IPN的研究结果表明．PPCPU／PMMA之IPN的两组分是互不相容的。同时对各种组成比的IPN材料进行力学性能测试，并用SEM对断面进行了观察，发现IPN的密度大于相应体系体积加和值。     

盐湖水化学类型的人工神经网络判别方法

研究了作为典型径向基函数网络之一的概率神经网络在盐湖水化学类型分类预测中的应用，验证了该方法的可靠性，得到了满意的分类预测结果。实验结果和网络结构分析表明，概率神经网络方法比熟知的反向传播算法(BP)网络要好。概率神经网络的研究应用为化学模式识别提供了一个新工具。     

Increasing the working calibration range by means of artificial neural networks for the determination of cadmium by graphite furnace atomic absorption spectrometry

Feed-forward artificial neural networks (ANNs), trained with the generalized delta rule, were evaluated for modeling the non-linear behavior of calibration curves and increasing the working range for the determination of cadmium by graphite furnace atomic absorption spectrometry (GFAAS). Selection of this analyte was made on the basis of its short linear range (up to 4.0 μg l⁻¹). Two-layer neural networks, comprising one node in the input layer (linear transfer function); a variable number of neurons in the hidden layer (sigmoid transfer functions), and a single neuron (linear transfer function) in the output layer were assessed for such a purpose. The (1:2:1) neural network was selected on the basis of its capacity to adequately model the working calibration curve in the range of study (0-22.0 μg l⁻¹ Cd). The latter resulted in a nearly six fold increase in the working range. Cadmium was determined in the certified reference material “Trace Elements in Drinking Water” (High Purity Standards, Lot No. 490915) at four concentration levels (2.0, 4.0, 8.0 and 12.0 μg l⁻¹ Cd), which were experimentally within and above the linear dynamic range (LDR). No significant differences (P<0.05) were found between the expected concentrations and the results obtained by means of the neural network. The proposed method was compared with the conventional “dilution” approach, and with fitting the working calibration curve by means of a second-order polynomial. Modeling by means of an ANN represents an alternative calibration technique, for its use helps in reducing sample manipulation (due to the extension of the working calibration range), and may provide higher accuracy of the determinations in the non-linear portion of the curve (as a result of the better fitness of the model).     

An approach to the atomic structure of bulk metallic overlayers using tip-induced layer-by-layer dissolution

Well-grown 3-D copper clusters were obtained on a Pt(111) surface at intermediate overpotentials from a sulfuric acid solution. The hexagonal and triangular clusters grew layer-by-layer and were aligned to the orientation of the substrate, indicating epitaxial growth without rotation. By using the tip as an anodic electrode, the atomic structure of each layer of the cluster was monitored locally during dissolution. The results show that in the copper clusters the lattice constant relaxes directly to the bulk lattice constant in the second layer (at least after deposition of the third layer). Additional discussion on the dissolution kinetics is also included. The same method has been used to elucidate the structure of the Cu overlayer on Pt(100).     

新型聚酰亚胺-氨酯反渗透复合膜的结构与性能

通过界面聚合方法, 将功能单体N,N′-二甲基间苯二胺(DMMPD)与多元酰氯5-氯甲酰氧基-异肽酰氯(CFIC)聚合, 制得一种耐氧化的聚酰亚胺-氨酯反渗透复合膜. 采用全反射傅里叶变换红外光谱(ATR-FTIR)和X射线光电子能谱(XPS)分析了膜活性层的化学结构, 考察了膜的耐氧化性能, 并探讨了膜活性层化学结构与膜抗氧化性能之间的关系.     

Combinative neural network and its applications

A new approach named combinative neural network (CN) using partial least squares (PLS) analysis to modify the hidden layer in the multi-layered feed forward (MLFF) neural networks (NN) was proposed in this paper. The significant contributions of PLS in the proposed CN are to reorganize the outputs of hidden nodes such that the correlation of variables could be circumvented, to make the network meet the non-linear relationship best between the input and output data of the NN, and to eliminate the risk of over-fitting problem at the same time. The performance of the proposed approach was demonstrated through two examples, a well defined nonlinear approximation problem, and a practical nonlinear pattern classification problem with unknown relationship between the input and output data. The results were compared with those by conventional MLFF NNs. Good performance and time-saving implementation make the proposed method an attractive approach for non-linear mapping and classification.     

MEA with double-layered catalyst cathode to mitigate methanol crossover in DMFC

Methanol permeation is one of the key problems for direct methanol fuel cell (DMFC) applications. It is necessary to change the structure of the cathode of membrane electrode assembly (MEA). Therefore, a novel MEA with double-layered catalyst cathode was prepared in this paper. The double-layered catalyst consists of PtRu black as inner catalyst layer and Pt black as outer catalyst layer. The inner catalyst layer is prepared for oxidation of the methanol permeated from anode. The results indicate that this double-layered catalyst reduced the effects of methanol crossover and assimilated mixed potential losses. The performance of MEA with double-layered catalyst cathode was 52.2 mW cm⁻², which was a remarkable improvement compared with the performance of MEA with traditional cathode. The key factor responsible for the improved performance is the optimization of the electrode structure.