广西农产品物流企业WLC品牌元素的选择研究

针对广西农产品物流企业的特点,从众多影响企业品牌建设与发展的因素中,采用AHP-TOPSIS模型选择确定品牌全生命周期阶段对品牌竞争力影响力度最大的品牌元素,以实现品牌的可持续发展。     

原子吸收光谱法测定青蒿中金属元素含量

使用HNO3-HClO4体系消解样品,采用火焰原子吸收光谱法测定5种不同来源青蒿(Artemisia annua L.)中的Mg、Fe、Mn、Cu和Zn含量.结果表明,青蒿中5种金属元素的含量大小依次为Mg＞Fe＞Zn＞Mn＞Cu,该法加标回收率在98.00％～104.00％,相对标准偏差(n=3)为0.51％～2.86％.该法快速、简便、灵敏、准确,可用于青蒿中金属元素的分析.     

使用JDBC实现自动气象站要素信息检索

介绍了使用JDBC实现自动气象站分中心站的气象要素信息检索，程序运用B／S体系结构，遵循MVC设计思想，采用Model2模式进行开发，为了提高程序的运行速度，在数据库中创建了存储过程。     

Estimating Trace Element Availability in Soils with a Seasonal Water Table using Commercially Available Protocols

The soil accumulation of metals and other elements as a result of human activities is a global concern. This investigation involves the use of commercially available extractions to estimate elemental abundance and availability. The need exists, especially in poor nations, to have cost-effective analytical capabilities to perform an initial screening of a soil resource to determine if a problem exists. Three extraction protocols are proposed: (i) an aqua regia digestion to estimate a baseline geochemistry, (ii) a pyrophosphate extraction to estimate elemental abundances associated with the soil organic fraction, and (iii) a water extraction to estimate the most available fraction. If the soil resource is impacted, then more refined and traditional methods are required to document the extent of impact for possible remediation. The three extraction protocols were applied to soils with little impact to illustrate the assessment potential for selected metals and p-block elements.     

Effect of Salinity Stress and Surfactant Treatment on Physiological Traits and Nutrient Absorption of Fenugreek Plant

Salinity is considered as a major abiotic stress affecting crop production in arid and semi-arid regions in the world. Surfactants can improve water-use efficiency in saline soils and improve crop yield. This study was conducted to evaluate the effect of salinity stress and surfactant treatments on photosynthetic pigments and nutrition elements of fenugreek in the Crop and Soil Science greenhouse at the Pennsylvania State University (University Park, PA, USA) in 2013. The experiment was conducted using a 5 × 3 factorial randomized complete block design with three replications. Factor A consisted of five salinity levels [0, 4, 6, 8, and 10 ds m^–1 sodium chloride (NaCl)] while factor B consisted of three nonionic surfactant levels (0, 1, and 3 ppm). The results indicated a stepwise reduction in photosynthetic pigments of fenugreek as salt stress increased, however, Peroxidase and polyphenol oxidase activity increased in fenugreek leaves as salinity stress increased. Levels of surfactant application had different effects on nutrient uptake. Some nutrient elements such as sodium, phosphorus, copper, manganese, and zinc content increased while others decreased at high salinity conditions. Surfactant application rate of 3 ppm at moderate and high salinity levels and 1 ppm at lower salinity levels had a good performance in enhancing the total photosynthetic and carotenoid activities in fenugreek.     

驴奶中微量元素的测定

以驴奶为研究对象,测定了其中K、Ca、Na、Mg、Fe、Zn6种微量元素的含量,以期为驴奶资源的开发和利用提供一定的理论参考。     

赣南不同土壤类型脐橙园叶片营养状况研究

从赣南10个区县的沙质红壤、黏性红壤、紫色土和黄壤共131个果园采样测试了叶片营养元素含量，分析营养丰缺状况。赣南脐橙园普遍存在叶片N、K过量和Mg、Zn同时缺乏的问题。叶片N、P、K、Ca、Mg、Fe和 Mn在不同土壤类型的果园间存在显著性差异（P<0.05）：沙性红壤果园P、Fe更为丰富。黏性红壤果园N含量最高，K的过量程度和 Mg的缺乏程度都最轻。黄壤果园P更丰富，Ca更缺乏，Mn最容易过量。紫色土果园N、P含量最低，K最易过量，Ca较丰富，Mg最缺乏，有部分pH较高的果园植株缺Fe。叶片S、Zn、Cu、B和Mo 在不同土壤类型的果园间差异不显著（P>0.05），但有相当比例的脐橙园叶片缺Cu，少量果园叶片缺B，所有果园叶片S和Mo在适宜范围内。赣南脐橙园叶片N、K过量和Mg、Zn缺乏的情况较为普遍，不同土壤类型的脐橙园叶片N、P、K、Ca、Mg、Fe和 Mn营养丰缺状况存在显著性差异（P>0.05）。     

Examination of thermal and acid hydrolysis procedures in characterization of soil organic matter

Abstract

Differential thermogravimetry (DTG), differential scanning calorimetry (DSC), and stepwise thermogravimetry (STG), together with two acid hydrolysis methods (hydrolysis with hydrochloric acid in a single step, and hydrolysis with sulfuric acid in two steps), were evaluated to determine the quality of four plant materials (Medicago sativa, Eucalyptus globulus, Quercus ilex, and Pinus halepensis) before and after mixing with a red earth. These quality indices were then compared with the same materials in the field, whether their decomposition could be predicted. All the thermal methods gave poor results. In both DTG and DSC, the presence of the mineral matrix gave rise to strong distortions in the spectra. Since the spectrum of any mixture is not simply the sum of the spectra of the two components (organic matter + mineral matter), these distortions could not be corrected by simply subtracting the spectrum of the red earth alone. STG trials also gave poor results, because the presence of the mineral matrix greatly increased the quality indices, and reduced the ability of the method to distinguish between organic matter qualities. In view of our results, the usefulness of thermal methods in the characterization of soil organic matter would seem to be restricted to certain organic horizons (L, F, and perhaps H). In contrast, methods based on acid hydrolysis were comparatively more satisfactory. Their resolution (ability to distinguish organic matter qualities) was much higher than that of thermal methods. However, they were able to distinguish carbon more accurately than nitrogen. The sulfuric acid method, unlike the hydrochloric acid method, was affected by the presence of a mineral matrix. While both methods could be improved, in their present form they seem to operate as good predictors of carbon and nitrogen mineralization.     

Discrimination between Japanese and Chinese Products using trace elements concentration of kernel in pickled Japanese apricot

pp. 875–880

The trace-element composition of kernel in pickled Japanese apricot (Prunus mume Sieb. et Zucc.) was determined using an inductively coupled plasma optical emission spectrometer in order to distinguish between Japanese products and Chinese products.

Strontium and barium concentrations in the kernels of Chinese products were 10 or more times those of the Japanese ones. When based on 8.0 mg kg^?1 of strontium concentration in kernel, 93.2% of sample was distinguished as Japanese products or Chinese ones.

Applying principal component analysis using 9 elements (Mn, Zn, Fe, Ni, Ba, Sr, Cu, Co, Cr), the pickled Japanese apricots tend to separate into two countries. Linear discriminant analysis (LDA) using 9 elements allowed a reasonable classification of pickled Japanese apricots according to the country of production.

The result of the analysis of K-nearest neighbors (KNN) was better than that of LDA.