氨基化树枝状介孔二氧化硅固定葡萄糖氧化酶用于检测葡萄糖

以三乙胺为碱源合成了树枝状介孔二氧化硅纳米粒子（DMSNs），并用3-氨基丙基三乙氧基硅烷（APTES）进行氨基修饰合成了氨基化树枝状介孔二氧化硅纳米粒子（DMSNs-NH₂），将其用于葡萄糖氧化酶（GOD）的固定化研究.采用扫描电子显微镜、透射电子显微镜、红外光谱仪、X射线衍射仪、氮气吸附仪及热重分析仪对固定化GOD（DMSNs-NH₂-GOD）进行了表征，测定了其活性及蛋白载量.结果表明，固定化GOD的直径约为200 nm，形状均一，呈分散的球形微粒；在最佳固定条件下，蛋白载量达225 mg/g，酶活性达215 U/mg；固定化GOD检测葡萄糖的最低检测限为0.0014 mg/mL.利用固定化GOD检测了血清和饮料中的葡萄糖，重复使用36次以上其相对酶活性仍剩余80%.该方法操作方便、准确度高，提高了酶的pH稳定性、热稳定性及重复使用性，降低了检测成本.     

Zymography for Picogram Detection of Lipase and Esterase Activities

Lipases and esterases are important catalysts with wide varieties of industrial applications. Although many methods have been established for detecting their activities, a simple and sensitive approach for picogram detection of lipolytic enzyme quantity is still highly desirable. Here we report a lipase detection assay which is 1000-fold more sensitive than previously reported methods. Our assay enables the detection of as low as 5 pg and 180 pg of lipolytic activity by direct spotting and zymography, respectively. Furthermore, we demonstrated that the detection sensitivity was adjustable by varying the buffering capacity, which allows for screening of both high and low abundance lipolytic enzymes. Coupled with liquid chromatography-mass spectrometry, our method provides a useful tool for sensitive detection and identification of lipolytic enzymes.     

炭黑负载Pt-Sn双金属催化剂对乙醇的电催化氧化性能

采用一步还原法(乙二醇为还原剂)与两步还原法(在聚乙烯吡咯烷酮PVP保护下,先用硼氢化钠还原制备Sn溶胶,沉积Pt后用乙二醇还原)制备了炭黑负载Pt-Sn双金属催化剂,利用循环伏安法和计时电流法考察了催化剂制备方法、Pt/Sn原子比、溶液p H值、PVP/Sn质量比、反应介质等对乙醇室温电催化氧化活性和稳定性的影响.以X光衍射、透射电镜及电化学活性面积测定对所得催化剂进行了表征.发现引入Sn明显提高了Pt催化剂对乙醇的电催化活性与稳定性,两步还原法得到的Pt3Sn/C催化剂具有更小的颗粒尺寸,更大的电化学活性面积及更高的乙醇氧化活性与稳定性.与酸性介质相比,该催化剂在碱性介质中的电化学活性更好.     

分光计调整方法的改进及白光色散研究

普通物理实验中使用分光计观察白光散射,测量三棱镜顶角,最小偏向角等。但在测量前需借助三棱镜调整分光计,有人通过理论分析发现传统的调节方法存在误调和误差,并提出了改进的实验调整方法。本文我们通过实验来验证该方法是否可行,并在实验中发现了其它的问题。     

The U.S. Department of Energy (DOE) Sampling and Analytical Chemistry Guide: Doe Methods for Evaluating Environmental and Waste Management Samples

Abstract

DOE Methods for Evaluating Environmental and Waste Management Samples (DOE Methods) is a guidance/methods document to support sampling and analysis activities at DOE sites. DOE Methods is intended to supplement existing guidance documents (e.g., EPA's Test Methods for Evaluating Solid Waste, SW-846), which generally apply to low-level or nonradioactive samples. DOE Methods targets the complexities of DOE radioactive mixed waste and environmental samples. The document contains quality assurance (QA), quality control (QC), safety, sampling, organic analysis, inorganic analysis, and radioanalytical guidance as well as sampling and analytical methods. An addendum is distributed every six months (April and October) with updated guidance and additional methods.

DOE Methods provides a vehicle for technology transfer within the environmental restoration (ER) and waste management (WM) (collectively known as EM) community. As DOE Methods evolves, its usefulness and applicability are anticipated to grow to meet the demands of the DOE/EM mission. At the present time, DOE Methods contains methods and guidance information supplied by DOE sites. Because the EM activities in DOE are not unique to the United States, the international environmental community could benefit from the information gathered for the DOE program. This information could provide additional resources for their EM activities.     

ICP-AES测定向日葵花盘中13种金属元素

向日葵花盘经湿法消解,采用ICP-AES对其中钾、钙、钠、钡、铝、铬、铜、镁、铁、锰、镍、锶、锌13种元素进行测定.对光谱仪的工作条件及分析谱线等测定条件进行了选择,并进行了方法的回收率及精密度试验,其回收率在95％-122％之间.     

基于语言评价信息的知识资本要素识别方法

知识资本是组织创造价值和获取竞争优势的关键资源, 其要素通常具有复杂的关联性, 如何识别知识资本的核心要素、原因要素和结果要素,对于组织进行知识资本管理具有重要意义.本文在构建了知识资本要素识别体系的基础上,借鉴决策试验和评价实验室报告的思想提出了一种基于语言评价信息的知识资本要素识别方法,通过处理和集结专家针对知识资本要素关联给出的语言评价信息,对知识资本要素进行排序与归类.最后通过一个实例分析说明了该方法的应用, 并说明了如何根据识别结果制定相应的策略以便进行知识资本的投资和控制.