Starch: a potential substrate for biohydrogen production

Hydrogen is a clean energy carrier with great potential to be an alternative fuel. Anaerobic hydrogen fermentation seems to be more favorable, since hydrogen is yielded at high rates and various organic waste and wastewater enriched with carbohydrates as substrate result in low cost for hydrogen production. Abundant biomass from various industries could be a source for biohydrogen production where combination of waste treatment and energy production would be an advantage. Carbohydrate‐rich nitrogen‐deficient solid wastes such as starch residues can be used for hydrogen production by using suitable bioprocess technologies. Alternatively, converting biomass into gaseous fuels, such as biohydrogen, is possibly the most efficient way to use these agroindustrial residues. This review summarizes the potential of starch agroindustrial residues as a substrate for biohydrogen production. Types of potential starch agroindustrial residues, recent developments and bio‐processing conditions for biohydrogen production will be discussed. Copyright © 2014 John Wiley & Sons, Ltd.     

含膦酸酯结构单元的磺胺衍生物合成与抗菌活性

为了寻找抗菌候选化合物,采用基于片段的药物发现方法,以氨基膦酸酯和磺酰氯为原料,设计合成了15个含膦酸酯结构单元的磺胺衍生物,经IR、1HNMR和13CNMR确认结构。采用两倍稀释法测定目标化合物的MIC(最小抑菌浓度)。结果表明:部分目标化合物呈潜在的抗菌活性,对所测试标准菌和耐药菌均有抑制活性。其中,化合物Ⅱf〔N-[(二乙氧基膦酰基)-4-氟苯甲基]-4-甲氧基苯磺酰胺〕对金黄色葡萄球菌(S. aureus)、大肠埃希菌(E. coli)、耐甲氧西林金黄色葡萄球菌(MRSA)及耐氟喹诺酮类大肠杆菌(MREC)的MIC分别为32、64、128和128μg/mL,化合物Ⅱl〔N-[(二乙氧基膦酰基)-4-氟苯甲基]-4-氟苯磺酰胺〕对S. aureus、E. coli、MRSA及MREC的MIC分别为32、32、64和64μg/mL,抗菌活性优于对照药磺胺嘧啶。     

Harvesting small trees and forest residues

Eight countries collaborated and shared technical information on the harvesting of small trees and forest residues in a three year program. Proceedings and reports from workshops and reviews are summarized in a review of activities and harvesting systems of the participating countries. Four databases were developed for harvesting and transportation of these materials.     

Effects of home preparation on pesticide residues in cabbage

Experiment was carried out to evaluate the pesticides (chlorpyrifos, p,p-DDT, cypermethrin, chlorothalonil) residue levels in cabbage in the process of home preparation by washing with different concentrations of acetic acid and sodium chlorine, and tap water, preserving in refrigerator, and stir-frying for different time. Results showed that washing by tap water and/or detergent solution for cooking are necessary to decrease the concentration of pesticide residues in cabbage. Washing with acetic acid solutions (at 10% concentration for 20 min) caused 79.8%, 65.8%, 74.0% and 75.0% loss of the above pesticides, respectively. Washing with NaCl solutions (at 10% concentration for 20 min) produced 67.2%, 65.0%, 73.3% and 74.1% loss, respectively, and washing by tap water (for 20 min) were 17.6%, 17.1%, 19.1% and 15.2% loss, respectively. The reductions due to the refrigeration (for 48 h) were 3.4%, 2.6%, 3.1% and 3.6%, respectively, and those due to the stir-frying (for 5 min) were 86.6%, 67.5%, 84.7% and 84.8%, respectively. The data indicated that washing by detergent solutions and stir-frying of cabbage are the most effective home preparations for the elimination of pesticide residues.     

一种在秘密共享中骗子的检测方案

提出了一种能正确确定欺骗者的方案。此方案具有在验证时运算简单、快速的特点。对此方案的攻击如同大数分解一样困难。     

Productivity and costs of slash bundling in Nordic conditions

The number of slash bundlers and the volume of slash bundling have been rapidly increasing during the last few years in Finland. However, no comprehensive time or follow-up studies have been carried out on slash bundling technology in Finland or in any other country. Metsäteho Oy carried out studies on the productivity and costs of slash bundling in different Nordic recovering conditions. The study methods included both time and follow-up studies. Data were collected during the summer and winter period primarily in Norway spruce (Picea abies L. Karst.) dominated clear cutting sites. The bundling techniques performed by different types of bundler (Fiberpac 370, Timberjack 1490D, Pika RS 2000, Valmet WoodPac) were studied.

The average productivity of slash bundling was 18.1 bundles per operating (E₁₅, including delays shorter than 15 min) hour with the Timberjack 1490D and Fiberpac 370 bundlers in the follow-up study. The operator of the slash bundler had the greatest effect on the productivity of bundling. The prerequisite for increased bundling volumes is a reduction in the costs of the most expensive sub-stage of the bundling supply chain, i.e. bundling itself. This requires improved recovery conditions at bundling sites, increased bundling productivity, larger sized bundles, and the execution of bundling operations in two work shifts using an efficient bundler and effective operator working methods. Implementation of these development measures will bring the bundling supply chain up to a speed that makes it the most competitive supply chain for forest chips in terms of total supply costs for long-distance transportation distances of more than 60 km.     

铝电解槽修槽废渣的特性分析及处理

分析了铝电解槽修槽废渣的产生量、基本构成及污染特性，重点介绍了铝电解槽修槽废渣的处理处置方法和综合利用途径。     

Trace Identification and Visualization of Multiple Benzimidazole Pesticide Residues on Toona sinensis Leaves Using Terahertz Imaging Combined with Deep Learning

Molecular spectroscopy has been widely used to identify pesticides. The main limitation of this approach is the difficulty of identifying pesticides with similar molecular structures. When these pesticide residues are in trace and mixed states in plants, it poses great challenges for practical identification. This study proposed a state-of-the-art method for the rapid identification of trace (10 mg·L⁻¹) and multiple similar benzimidazole pesticide residues on the surface of Toona sinensis leaves, mainly including benzoyl (BNL), carbendazim (BCM), thiabendazole (TBZ), and their mixtures. The new method combines high-throughput terahertz (THz) imaging technology with a deep learning framework. To further improve the model reliability beyond the THz fingerprint peaks (BNL: 0.70, 1.07, 2.20 THz; BCM: 1.16, 1.35, 2.32 THz; TBZ: 0.92, 1.24, 1.66, 1.95, 2.58 THz), we extracted the absorption spectra in frequencies of 0.2–2.2 THz from images as the input to the deep convolution neural network (DCNN). Compared with fuzzy Sammon clustering and four back-propagation neural network (BPNN) models (TrainCGB, TrainCGF, TrainCGP, and TrainRP), DCNN achieved the highest prediction accuracies of 100%, 94.51%, 96.26%, 94.64%, 98.81%, 94.90%, 96.17%, and 96.99% for the control check group, BNL, BCM, TBZ, BNL + BCM, BNL + TBZ, BCM + TBZ, and BNL + BCM + TBZ, respectively. Taking advantage of THz imaging and DCNN, the image visualization of pesticide distribution and residue types on leaves was realized simultaneously. The results demonstrated that THz imaging and deep learning can be potentially adopted for rapid-sensing detection of trace multi-residues on leaf surfaces, which is of great significance for agriculture and food safety.     

顶空-气相色谱法同时测定塑料食品包装袋中11种有机溶剂残留量

采用顶空-气相色谱法对食品塑料包装材料中可能残留的溶剂丙酮、乙醇、乙酸乙酯、丁酮、异丙醇、正丁醇、甲苯、二甲苯等进行了分析。方法采用HP-FFAP色谱柱分离,氢火焰离子化检测器FID检测,11种溶剂能够完全分离,线性较好,样品加标回收率苯系物介于74%～78%,其他溶剂介于86%～95%,最低检出限可达0.002mg/m2。测定了10种不同材质的塑料包装材料中的溶剂残留量和苯系物残留量,方法简便、快速、重现性好,完全能满足塑料包装材料中溶剂残留量的分析。     

铬盐清洁生产中铬渣的综合利用

利用二氧化碳与液相氧化铬盐清洁生产工艺所产生的铬渣反应 ,得到碳酸氢镁溶液和富铁渣。碳酸氢镁溶液经加热分解得到轻质碳酸镁产品 ,富铁渣可以作为水泥行业原料铁精矿的替代品 ,最终实现了铬铁矿资源的充分利用和铬盐生产的零排放。