在线萃取流动注射分光光度法测定水中阴离子表面活性剂

在国标法GB 7494—1987的基础上,将在线萃取、在线分离技术与分光光度法相结合,研究了自动测定水中阴离子表面活性剂的新方法,使国标法中的各个操作步骤完全实现自动化。结果表明,新的自动测定法在0.034~2.00 mg/L浓度范围内,线性相关系数为0.999 9,检出限为0.008 6 mg/L,相对标准偏差3.8%(n=6),实际样品加标回收率为88.3%~100.0%。测定全过程相对密闭,人体不接触三氯甲烷,保护了分析人员的自身安全,方法操作简便,测定时间也较短,单个样品测定时间7 min。     

Design and Optimization of Thick-Walled Cylinders with Load Localization Near the End Face

Strength of Materials - The paper presents a procedure for determining the design parameters of multilayer thick-walled structures with a local load on the inner surface portion located near the...     

Crossing the Border: From Keto- to Imine Reduction in Short-Chain Dehydrogenases/Reductases

The family of NAD(P)H-dependent short-chain dehydrogenases/reductases (SDRs) comprises numerous biocatalysts capable of C=O or C=C reduction. The highly homologous noroxomaritidine reductase (NR) from Narcissus sp. aff. pseudonarcissus and Zt_SDR from Zephyranthes treatiae, however, are SDRs with an extended imine substrate scope. Comparison with a similar SDR from Asparagus officinalis (Ao_SDR) exhibiting keto-reducing activity, yet negligible imine-reducing capability, and mining the Short-Chain Dehydrogenase/Reductase Engineering Database indicated that NR and Zt_SDR possess a unique active-site composition among SDRs. Adapting the active site of Ao_SDR accordingly improved its imine-reducing capability. By applying the same strategy, an unrelated SDR from Methylobacterium sp. 77 (M77_SDR) with distinct keto-reducing activity was engineered into a promiscuous enzyme with imine-reducing activity, thereby confirming that the ability to reduce imines can be rationally introduced into members of the “classical” SDR enzyme family. Thus, members of the SDR family could be a promising starting point for protein approaches to generate new imine-reducing enzymes.     

Viscosity of Fe90B x Si(10 − x) melts

High Temperature - The temperature dependences of the viscosity of liquid Fe90B x Si(10 − x) alloys are studied in the mode of heating and subsequent cooling. The temperature dependences of...     

Stamping of Nonuniform Channels. 5. Calculation Methods for Channel Extrusion. 5.1. Formulas

Russian Engineering Research - Formulas are derived for the most important parameters of channel extrusion.     

A conceptualization of intended learning outcomes supporting self‐regulated learners in indicating learning paths

Intended learning outcomes (ILOs) indicate what learners will be able to achieve after they are taught. Traditionally, ILOs are expressed as plain text or unstructured documents. What if all ILOs of a specific course of study can be conceptualized through a structured diagrammatic technique? It was hypothesized that learners can benefit from this conceptualization in learning, especially in self‐regulated learning. The aim of this study was to investigate whether the ILOs represented in unstructured or structured formats can facilitate learners to identify learning paths. The results revealed that the mean ratings of all learning paths were statistically significantly higher with structured ILOs.