Lotus Domino／NotesR5与管理信息系统MIS的集成

阐述办公自动化(OA)系统与管理信息系统之间的集成技术,使整个工作流数据通过OA数据接口与企业现有的MIS系统自动交换数据。以SQL数据库作为后台数据库,通过在notes中调用SQL语句实现二者之间的数据集成,实现了Domino数据库和Sybase/Oracle等关系型数据库的数据信息的交互,使OA系统的协同工作结果能与企业的MIS系统有效的沟通和交换,提高企业的集成工作效率。     

利用荷花与睡莲对沉积物中重金属的修复研究

选取水景植物荷花、睡莲对黑臭河道沉积物中重金属进行修复,用ICP-AES全谱直读电感耦合等离子发射光谱法测定沉积物、植物中重金属镉、铬、铜、镍、铅的总量与形态的量,重金属在植物中分布。结果表明：荷花对沉积物中重金属平均去除率为20.42%,睡莲为18.23%;睡莲、荷花种植后沉积物重金属形态的量呈减小趋势,经植物修复后沉积物中铬、铅、镍的主要形态为残渣态,镉、铜的主要形态为弱酸溶解态。铜、镍在睡莲中的分布特征为茎<叶<根,镉和铅为叶<茎<根,铬为茎<根<叶。铬、镍在荷花中分布为根<叶<茎, 铜为叶<根<茎,镉、铅主要积累在荷花的叶部组织。     

Biomorphic SiC from lotus root

Biomorphic silicon carbide (bioSiC) with macro-channels and alveolate micropores was prepared by spon-taneous infiltration of melted silicon into a carbon template derived from lotus root at 1600 ℃. The carbon template and purified bioSiC samples were characterized by X-ray diffraction, scanning electron microscopy, camera and mercury intrusion. The results suggest that the bioSiC mainly consists of β-SiC and perfectly replicates the shape and microstructure of the carbon template. The bioSiC has a mean pore diameter of 91.1 μm and a porosity of 50.1%, both similar to those of the carbon template, 92.3 μm and 50.7%, respectively.     

近红外光谱定性与定量分析技术在莲子无损检测中的应用

通过提取采后不同时期的莲子、莲仁的近红外漫反射光谱特征,以莲子的可溶性固形物(SSC)和干物质含量(DM)为指标进行定量和定性分析。利用偏最小二乘回归(PLSR)分析和距离判别分析(DA)计算所得的结果表明：SSC和DM含量与莲子、莲仁的吸收光谱特征具有明显相关。莲子SSC、DM的PLSR模型在5 941～12 480 cm-1谱区综合性能较好,预测相关系数(r₁)分别为0.74和82,校正相关系数(r₂)分别为0.82和0.84,留一交互相关系数(r₃)分别为0.72和0.71。莲仁SSC的PLSR模型在7 891～9 310 cm-1谱区综合性能较好,r₁为0.79,r₂为0.84,r₃为0.77。DM的PLSR模型在全光谱的综合性能较好,r₁为0.92,r₂为0.89,r₃为0.82。莲子在5 400～7 885 cm-1谱区的判别性能较好,正确率达84.2%,而莲仁在9 226～12 480 cm-1谱区的判别性能较好,正确率达90.8%。对不同年份和有膜有芯的干莲仁进行DA判别的精度可达98.9%。研究表明近红外检测技术可用于莲子和莲仁的SSC和DM含量的定量分析及储存期的定性判别,还可对不同年份和有膜有芯的干莲仁进行判别。     

基于LOTUS DOMINO/NOTES的文档管理系统

介绍了基于LOTUS DOMINO／NOTES文档管理系统的开发过程，该系统真正实现文档办公的工作流程，不仅可以实现纸制文件的归档，而且可以实现电子文档的归档，同时实现了自动组卷、封卷、毁卷、回收、查询和借阅功能，真正提高工作效率，为最终实现无纸化办公奠定基础。     

Electrochemical Sensing Platform Based on Lotus Stem-derived Porous Carbon for the Simultaneous Determination of Hydroquinone,Catechol and Nitrite

A simple and highly selective electrochemical sensor based on carbonized lotus stem (CLS) was developed for the simultaneous determination of hydroquinone (HQ), catechol (CC), and nitrite (NT) by using cyclic voltammetry (CV) and amperometry (AMP) methods. The CLS was characterized by the methods including field emission scanning electron microscopy (FE-SEM), Raman spectrum, FT-IR spectrum and X-ray diffraction (XRD). Brunauer-Emmett-Teller (BET) method was used to evaluate the pore structure and surface area of CLS. The oxidation peaks for HQ (116.2 mV), CC (220.1 mV), and NT (818.9 mV) were well separated under optimized conditions, which improved their simultaneous determination. The CLS modified electrode showed a good linear range between 1.0×10 ⁻⁶ to 7.0×10 ⁻⁴ M for HQ, and the detection limit was calculated as 0.15 μM. For CC the linear relationship was 1.0×10 ⁻⁶ to 3.0×10 ⁻³ M with the detection limit of 0.11 μM. For NT the linear relationship was 5.0×10 ⁻⁷ to 4.0×10 ⁻³ M with the detection limit of 0.09 μM. The results indicated that the intrinsic structure of natural biomass can be expected to design porous carbon for electrochemical sensors.     

生物合成纳米金与MWCNTs/L-Cys复合修饰玻碳电极测定左旋多巴

利用荷叶萃取液生物合成纳米金,并与多壁碳纳米管/L-半胱氨酸复合成修饰电极材料,研究了左旋多巴在该修饰电极上的电化学行为.在0.2 mol/L乙酸-乙酸钠体系(pH=2.6)中,氧化峰电流与左旋多巴浓度在0.6~40μmol/L及60~120μmol/L范围内呈良好的线性关系,检出限达5.2×10-8mol/L.实验结果表明,生物合成纳米金复合多壁碳纳米管/L-半胱氨酸修饰电极具有良好的稳定性和高灵敏度,对实际样品测定的回收率在91.2%~102.5%之间.     

Reinigen mit Licht und Regen

After the discovery of the lotus‐effect in the 1970s the attention concerning the field of self‐cleaning surfaces increased rapidly. Besides hydrophobic surfaces which are designed following the example of the lotus flower, superhydrophilic and photocatalytic active coatings play an important role. These coatings are using sunlight to oxidize pollutants and remove residues by rinsing with water. Coatings based on the lotus‐effect suffer from their weak mechanical durability, but are able to work without light. On the other hand, photocatalytic layers are mechanically stable, but they need to be illuminated to become self‐cleaning.     

大孔吸附树脂对莲房原花青素吸附纯化性能的研究

比较了14种大孔吸附树脂对莲房中原花青素(proanthocyanidins of lotus seedpod,LSPAs)的吸附及解吸性能,在研究静态吸附的基础上,筛选出效果较好的树脂进行动态实验研究,并对所得组分LSPAs含量及其相对分子量进行初步分析.结果表明,DM130大孔吸附树脂分离纯化LSPAs效果最佳,上样浓度为2.5mg/mL,流速为3BV/h时,饱和吸附量为4～4.5个BV;当用体积分数为50%乙醇以3BV/h的流速洗脱5BV时,LSPAs的累积回收率可达96.43%,含量从22.54%提高到95.31%;经质谱分析,(M+H)分子量范围为291.1～1155.3,聚合度≤4.