营养吃法有科学

吃素未必能长寿据调查,长期吃素会造成蛋白质缺乏。当人体蛋白质供给不足时,会减轻体重,患贫血,感染疾病,创伤、骨折不易愈合;严重缺乏时,血浆蛋白降低,可引起浮肿。水果榨汁喝有缺陷只喝水果汁,减少了人体对纤维素的摄取。以果胶为代表的水溶性纤维有预防和减少糖尿病,心血管疾患的保健功效;而水不溶性纤     

超声波强化酶法提取污泥蛋白研究

以城市污水处理厂剩余污泥为试验对象,对超声波预处理强化中性蛋白酶提取污泥蛋白质的效果和工艺条件进行了研究。结果表明,经超声波预处理后,污泥酶解蛋白提取率可提高40%左右,污泥脱水性能也提高了80%以上。响应面分析表明,超声强化酶解污泥提取蛋白的优化工艺条件为:p H=7.4、酶加量4 500U/g、酶解时间4h、酶解温度48℃,此时最佳蛋白提取率可达35.9%。     

构树叶蛋白质的提取研究

构树在我国各地均有分布,具有易成活、繁殖快、适应环境能力强等特点。构树叶营养丰富,是潜在的优质蛋白质来源,经过提取提纯后能广泛用于食品加工行业,具有重大的经济价值。以构树叶粉为原料,研究了不同提取方法和参数下的粗叶蛋白含量和提取率,以粗蛋白提取率为指标,确定提取的最佳方式为酸热法提取叶蛋白,提取条件为pH值3、加热温度60℃、液料比30∶1。     

屯绿陈茶有效成分提取及茶多酚提纯工艺研究

探讨了从陈茶中提取有效成分和茶多酚的提纯工艺。采用不同物料比、浸提温度、浸提时间的正交实验，通过热水煮提从茶叶中获取水溶性物质。结果表明，当料液比为1：20、90℃、120min时，测得的水提取物固化物量最多可达31％；茶叶水提物固化物、水配比为13：400时与乙酸乙酯萃取茶多酚的得率达23％，茶多糖从总量中提取的得率达2．5％。屯绿陈茶有效成分保留效果良好，具有较好的综合利用价值。     

多花黄精总蛋白质提取工艺优化

对多花黄精主根与须根总蛋白质的提取工艺进行了研究.在对料液比、离心转速、NaCl溶液的浓度等进行单因素试验的基础上,通过正交试验确定了多花黄精主根与须根总蛋白质提取的最佳工艺条件,即对多花黄精主根蛋白质的提取最佳条件为料液比1:15、NaCl浓度0.10mol/L、转速为2500r/min;须根蛋白的提取最佳条件为料液比1:15、NaCl浓度0.20 mol/L、转速为4500r/min.在相同的提取条件下,多花黄精主根与须根的蛋白质得率差异显著.须根中蛋白质的含量与主根的差异性不显著,须根的利用价值也很高,有待于进一步开发利用.     

重视蚕蛹的开发利用

当今,世界各国都在寻求新的蛋白质资源,以满足人类需要。在蛋白质资源中,昆虫的蛋白质倍受人们青睐。据报导,昆虫蛋白质含量高达80％,营养价值高,蛋白纤维少,易为人体所吸收。在昆虫蛋白质点源中,蚕蛹蛋白质是其中的佼佼者,它含有8种人体必需的氨基酸,易为人体所吸收。据检测表明,蚕蛹     

甘肃党参中蛋白质的提取分析

实验采用盐溶法提取甘肃党参中蛋白质,用饱和(NH4) 2SO4溶液进行分级盐析、透析、浓缩后用SDS- PAGE分析,测定不同提取液中主要蛋白质的分子量.结果表明,用pH为6.0的PB缓冲液提取并用饱和度在60％以上的(NH4)2SO4溶液盐析时蛋白提取效果最好;经SDS- PAGE电泳后,初步鉴定出所提取党参蛋白质亚基中最大分子量为68885Da,最小分子量为15570Da.     

铅对人体和环境的影响

铅对人体的影响 铝对人的影响很大：人体通过呼吸、进食、皮肤吸收等都有可能吸收铝或其化合物。铅被人体器官摄取后，将抑制蛋白质的正常合成功能，危害人体中枢神经，造成精神混乱、呆滞、生殖功能障碍、贫血、高血压等慢性疾病。而铅对儿童的危害更大，会影响其智商和正常发育。     

油菜籽粕中蛋白质的提取与分离研究

油菜籽粕中含有丰富的蛋白质，提取的方法也多种多样。比较了不同萃取剂以及同一萃取剂在不同条件下对油菜籽粕中蛋白质萃取率的影响，得出其最佳提取条件是：pH值为11．5、料液比为1：30、温度45℃、提取时间为2h。     

几种核素在土壤—生物—人体间的积累和转移

本文对Ｕ，Ｋ，＾１３７Ｃｓ，＾９０Ｓｒ等几种核素在土壤－水稻，土壤－茶叶，土壤－蔬菜之间以及水－鱼间的转移情况进行了研究；并考虑到这些核素含量较高的食品（如茶叶、黄豆）不直接全部食入人体，因此，根据人们的饮茶习惯及豆制品（水豆腐）的加工过程进行模拟，对其向人体转移的参数进行了实验研究。由上述实验结果给出了转移参数及相关方程。     

Using Paleo Reconstructions to Improve Streamflow Forecast Lead Time in the Western United States

In water stressed regions, water managers are exploring new horizons that would help in long‐range streamflow forecasts. Oceanic‐atmospheric oscillations have been shown to influence streamflow variability. In this study, long‐lead time streamflow forecasts are made using a multiclass kernel‐based data‐driven support vector machine (SVM) model. The extended streamflow records based on tree ring reconstructions were used to provide a longer time series data. Reconstructed data were used from 1658 to 1952 and the instrumental record was used from 1953 to 2007. Reconstructions for oceanic‐atmospheric oscillations included the El Niño‐Southern Oscillation, Pacific Decadal Oscillation, Atlantic Multidecadal Oscillation, and North Atlantic Oscillation. Streamflow forecasts using all four oscillations were made with one‐year to five‐year lead times for 21 gages in the western United States. This is the first study that uses both instrumental and reconstructed data of oscillations in SVM model to improve streamflow forecast lead time. SVM model was able to provide “satisfactory” to “very good” forecasts with one‐ to five‐year lead time for the selected gages. The use of all the oscillation indices helped in achieving better predictability compared to using individual oscillations. The SVM modeling results are better when compared with multiple linear regression model forecasts. The findings are statistical in nature and are expected to be useful for long‐term water resources planning and management.     

MANGANESE CYCLE IN IMPOUNDMENT WATER

Manganese entering impounded water will undergo a cyclic transformation. Oxidation precipitates manganese from top waters. At the bottom of the lake, biological activity will render manganese soluble by both intracellular as well as extracellular activity. The study was made to demonstrate that biological reduction and transformation, organometallic complexation, together with the presence of carbon dioxide and the lowering of pH all have some effect on the solubility of manganese. Dissolved manganese may be brought back to top waters during the lake overturn and therefore deteriorates the water quality.     

Sources and Transport of Phosphorus to Rivers in California and Adjacent States,U.S., as Determined by SPARROW Modeling

The SPARROW (SPAtially Referenced Regression on Watershed attributes) model was used to simulate annual phosphorus loads and concentrations in unmonitored stream reaches in California, U.S., and portions of Nevada and Oregon. The model was calibrated using de‐trended streamflow and phosphorus concentration data at 80 locations. The model explained 91% of the variability in loads and 51% of the variability in yields for a base year of 2002. Point sources, geological background, and cultivated land were significant sources. Variables used to explain delivery of phosphorus from land to water were precipitation and soil clay content. Aquatic loss of phosphorus was significant in streams of all sizes, with the greatest decay predicted in small‐ and intermediate‐sized streams. Geological sources, including volcanic rocks and shales, were the principal control on concentrations and loads in many regions. Some localized formations such as the Monterey shale of southern California are important sources of phosphorus and may contribute to elevated stream concentrations. Many of the larger point source facilities were located in downstream areas, near the ocean, and do not affect inland streams except for a few locations. Large areas of cultivated land result in phosphorus load increases, but do not necessarily increase the loads above those of geological background in some cases because of local hydrology, which limits the potential of phosphorus transport from land to streams.     

Diversity, Seasonality, and Context of Mammalian Roadkills in the Southern Great Plains

Thousands of mammals are killed annually from vehicle collisions, making the issue an important one for conservation biologists and environmental managers. We recorded all readily identifiable kills on or immediately adjacent to roads in the southern Great Plains from March 2004–March 2007. We also recorded distance traveled, whether a road was paved or divided, the number of lanes, and prevailing habitat. Surveys were opportunistic and were conducted by car during conditions of good visibility. Over our 239 surveys and >16,500 km traveled, we recorded 1412 roadkills from 18 different mammal species (size ranged from Sciurus squirrels to the white-tailed deer, Odocolieus virginianus). The overall kill rate was 8.50 / 100 km. Four species were prone to collisions: the Virginia opossum (Didelphis virginiana), nine-banded armadillo (Dasypus novemcinctus), striped skunk (Mephitis mephitis), and northern raccoon (Procyon lotor). Together they accounted for approximately 85% (1198) of all roadkills. Mortality rate differed significantly between 2- and 4-lane roads (8.39 versus 7.79 / 100 km). Kill rates were significantly higher on paved versus unpaved roads (8.60 versus 3.65 / 100 km), but did not depend on whether a road was divided. Roadkills were higher in spring than in fall (1.5×), winter (1.4×), or summer (1.3×). The spring peak (in kills / 100 km) was driven chiefly by the armadillo (2.76 in spring/summer versus 0.73 in autumn/winter) and opossum (2.65 versus 1.47). By contrast, seasonality was dampened by a late winter/early spring peak in skunk mortalities, for which 41% occurred in the 6-week period of mid-February through March. The raccoon did not exhibit a strong seasonal pattern. Our data are consistent with dispersal patterns of these species. Our results underscore the high rate of highway mortality in the southern plains, as well as differences in seasonality and road type that contribute to mortality. Conservation and management efforts should focus on creating underpasses or using other means to reduce roadkill rates.     

THE IMPACT OF URBANIZATION ON THE DISTRIBUTION OF HEAVY METALS IN BOTTOM SEDIMENTS OF THE SADDLE RIVER1

ABSTRACT: A three-year study has been conducted on a 4.6 mile stretch of the Saddle River near Lodi, New Jersey. The primary objectives of this investigation were (1) to provide baseline information on the concentration and distribution of heavy metals in bottom sediments of the Saddle River; (2) to qualitatively evaluate which parameters affect this distribution; and (3) to determine the effect of urbanization on the concentration and distribution of these materials. Significant enrichments of several heavy metals were observed in bottom sediments of the lower Saddle River near Lodi, New Jersey, as compared to the upper Saddle River. Attempts to correlate metal concentrations in bottom sediments with chemical-oxygen demand were not successful in demonstrating a relationship between these two factors. Metal concentrations were found to be strongly dependent upon particle size. In general, metal concentrations in bottom sediments increased with decreasing partical diameter. However, metals enrichment was observed to be considerably greater in the larger sediment fractions studied (>420μ) than the smaller sediment fractions as one proceeded downstream through the urban area. Since the larger sediment fractions are least effected by scour and transport they may best reflect the effect of urbanization on the distribution of heavy metals over an extended period of time at a given location.     

Disturbance regimes,resilience, and recovery of animal communities and habitats in lotic ecosystems

Disturbance regime is a critical organizing feature of stream communities and ecosystems. The position of a given reach in the river basin and the sediment type within that reach are two key determinants of the frequency and intensity of flow-induced disturbances. We distinguish between predictable and unpredictable events and suggest that predictable discharge events are not disturbances. We relate the dynamics of recovery from disturbance (i.e., resilience) to disturbance regime (i.e., the disturbance history of the site). The most frequently and predictably disturbed sites can be expected to demonstrate the highest resilience. Spatial scale is an important dimension of community structure, dynamics, and recovery from disturbance. We compare the effects on small patches (⩽1 m²) to the effects of large reaches at the river basin level. At small scales, sediment movements and scour are major factors affecting the distribution of populations of aquatic insects or algae. At larger scales, we must deal with channel formation, bank erosion, and interactions with the riparian zone that will affect all taxa and processes. Our understanding of stream ecosystem recovery rests on our grasp of the historical, spatial, and temporal background of contemporary disturbance events.     

Development of the Spatial Rainfall Generator (SRGEN) for the Agricultural Policy/Environmental Extender Model

Accurate spatial representation of climatic patterns is often a challenge in modeling biophysical processes at the watershed scale, especially where the representation of a spatial gradient in rainfall is not sufficiently captured by the number of weather stations. The spatial rainfall generator (SRGEN) is developed as an extension of the “weather generator” (WXGEN), a component of the Agricultural Policy/Environmental eXtender (APEX) model. SRGEN generates spatially distributed daily rainfall using monthly weather statistics available at multiple locations in a watershed. The spatial rainfall generator as incorporated in APEX is tested on the Cowhouse watershed (1,178 km²) in central Texas. The watershed presented a significant spatial rainfall gradient of 2.9 mm/km in the lateral (north‐south) directions based on four rainfall gages. A comparative analysis between SRGEN and WXGEN indicates that SRGEN performs well (PBIAS = 2.40%). Good results were obtained from APEX for streamflow (NSE = 0.99, PBIAS = 8.34%) and NO₃‐N and soluble P loads (PBIAS ≈ 6.00% for each, respectively). However, APEX underpredicted sediment yield and organic N and P loads (PBIAS: 24.75‐27.90%) with SRGEN, although its uncertainty in output was lower than WXGEN results (PBIAS: ?13.02 to ?46.13%). The overall improvement achieved in rainfall generation by SRGEN is demonstrated to be effective in the improving model performance on flow and water quality output.     

An Analysis of Spatial Clustering and Implications for Wildlife Management: A Burrowing Owl Example

Analysis tools that combine large spatial and temporal scales are necessary for efficient management of wildlife species, such as the burrowing owl (Athene cunicularia). We assessed the ability of Ripley’s K-function analysis integrated into a geographic information system (GIS) to determine changes in burrowing owl nest clustering over two years at NASA Ames Research Center. Specifically, we used these tools to detect changes in spatial and temporal nest clustering before, during, and after conducting management by mowing to maintain low vegetation height at nest burrows. We found that the scale and timing of owl nest clustering matched the scale and timing of our conservation management actions over a short time frame. While this study could not determine a causal link between mowing and nest clustering, we did find that Ripley’s K and GIS were effective in detecting owl nest clustering and show promise for future conservation uses.     

石油类在河流中自净能力的研究

根据河流的特点,利用示踪剂对河流中石油类污染物的衰减情况进行了分析,建立了污染物扩散模式,确定了河流不同断面的石油通量,求出了石油类污染物的衰减系数。为污染物的排放量和河流环境容量的确定提供了保证。     

Intensive Livestock Farming: Global Trends, Increased Environmental Concerns, and Ethical Solutions

By 2050, global livestock production is expected to double—growing faster than any other agricultural sub-sector—with most of this increase taking place in the developing world. As the United Nation’s four-hundred-page report, Livestock’s Long Shadow: Environmental Issues and Options, documents, livestock production is now one of three most significant contributors to environmental problems, leading to increased greenhouse gas emissions, land degradation, water pollution, and increased health problems. The paper draws on the UN report as well as a flurry of other recently published studies in order to demonstrate the effect of intensive livestock production on global warming and on people’s health. The paper’s goal is to outline the problems caused by intensive livestock farming and analyze a number of possible solutions, including legislative changes and stricter regulations, community mobilizing, and consumers choosing to decrease their demand for animal products.