Sensitivity,specificity, and predictive values of reagent test strip estimations of blood urea nitrogen

Azostix-reagent-tests(R) strips (Ames, Miles, Inc., Diagnostic Division, Elkhart, IN) were used to measure blood urea nitrogen values in blood samples from 125 dogs and cats at the North Carolina State University, College of Veterinary Medicine. Results of the tests were compared with standard serum urea nitrogen results. Sensitivity, specificity, and negative predictive values were high (86.4, 90.3, and 96.5%, respectively). Positive predictive value was low, 65.5% of the dogs and cats with elevated blood urea nitrogen values were correctly classified as abnormal The test performs well when the prevalence of abnormal values is near 50%.     

Enhancing pedotransfer functions with environmental data for estimating bulk density and effective cation exchange capacity in a data‐sparse situation

Soil bulk density (BD) and effective cation exchange capacity (ECEC) are among the most important soil properties required for crop growth and environmental management. This study aimed to explore the combination of soil and environmental data in developing pedotransfer functions (PTFs) for BD and ECEC. Multiple linear regression (MLR) and random forest model (RFM) were employed in developing PTFs using three different data sets: soil data (PTF‐1), environmental data (PTF‐2) and the combination of soil and environmental data (PTF‐3). In developing the PTFs, three depth increments were also considered: all depth, topsoil (<0.40 m) and subsoil (>0.40 m). Results showed that PTF‐3 (R²; 0.29–0.69) outperformed both PTF‐1 (R²; 0.11–0.18) and PTF‐2 (R²; 0.22–0.59) in BD estimation. However, for ECEC estimation, PTF‐3 (R²; 0.61–0.86) performed comparably as PTF‐1 (R²; 0.58–0.76) with both PTFs out‐performing PTF‐2 (R²; 0.30–0.71). Also, grouping of data into different soil depth increments improves the estimation of BD with PTFs (especially PTF‐2 and PTF‐3) performing better at subsoils than topsoils. Generally, the most important predictors of BD are sand, silt, elevation, rainfall, temperature for estimation at topsoil while EVI, elevation, temperature and clay are the most important BD predictors in the subsoil. Also, clay, sand, pH, rainfall and SOC are the most important predictors of ECEC in the topsoil while pH, sand, clay, temperature and rainfall are the most important predictors of ECEC in the subsoil. Findings are important for overcoming the challenges of building national soil databases for large‐scale modelling in most data‐sparse countries, especially in the sub‐Saharan Africa (SSA).     

微生物在环境保护中的应用及前景

从环境保护的角度出发,重点论述了微生物在这一领域的应用现状与发展前景,指出微生物将会在21世纪的环境保护领域中发挥重要作用。     

PREDICTIVE INTELLIGENT CONTROL OF THE COLD STORAGE

The predictive intelligent control scheme is proposed, which is based on approximation theory and numerical method of Chcbyshev orthogonal polynomial. It has the practical value to the cold storge using widely electromagnetic valve and can be also applied similar systems in orther area.     

Ureolytic Activity of Soybean and Corn Residue Extracts

The enzyme urease is responsible for the rapid hydrolysis of urea in agroecosystems where more than 50% of the applied nitrogen (N) can be lost via ammonia volatilization. The objectives of the study were to (1) extract urease from corn (Zea mays L.) and soybean (Glycine max L.) and (2) compare the urease activity from soybean and corn residues to Jackbean (Canavalia ensiformis) urease using Fourier transform infrared spectroscopy (FTI-R). Concentrations of urea and sodium bicarbonate ranging from 0 to 200 mM were analyzed with FTI-R to determine the correlation to peak height. Bicarbonate produced the most responsive peaks to concentration at 1,362 cm^?1. Urease extracted from soybean residue was active, producing a bicarbonate peak at 1362 cm^?1, whereas no urease activity was observed in corn residue. Variation among urease activities in crop residues could suggest a need for more precise nitrogen management in conservation tillage agroecosystems to reduce ammonia volatilization.     

共附生海洋微生物抗菌活性物质的研究

随着抗生素的广泛使用,微生物的抗药性逐渐增强.与此同时,环境污染的加剧,社会和人文的变迁,使人类的免疫力不断下降,新的致病菌和条件致病菌不断出现,这些已经成为严重的社会问题.解决问题的最有效办法就是加大力度,筛选开发新的抗生素.海洋拥有独特的生境条件,已成为新抗生素的重要来源.海洋微生物中共附生微生物具有独特的特点,已逐渐成为研究的焦点.     

改革食品微生物实验教学 培养学生发散思维能力

微生物实验是食品相关专业教学中的一门重要课程,可以加深学生对理论知识的理解,培养学生的实验技能、动手能力和发散思维。但是在实验教学的过程中仍然存在一些问题,就实验教学内容和实验教学方法进行研究探索。     

食品抗菌包装系统的研究与展

由于人们对食品安全、货架期延长、成本效益、环境问题和消费便利性要求的提高,食品包装技术也得到了充分的发展,为了提高包装的性能,满足人们的需求,活性包装技术便应运而生.食品抗菌包装技术是活性包装技术的一种, 它可以有效地抑制食品表面的微生物,延长食品的货架期,保证食品品质.本文主要论述了抗菌包装技术类型以及它们在食品中的应用,并对抗菌包装系统中无机抗菌剂、有机抗菌剂和天然抗菌剂作了概括.最后,本文对抗菌包装技术未来发展趋势作了描述.     

基于微流控和比色光谱法的水产养殖海水氨氮含量检测

为实时、准确地获取水产养殖海水中氨氮含量,以大围网养殖海水中的氨氮为研究对象,在比色光谱法基础上结合微流控技术进行靛酚蓝法比色反应,实现对溶液中氨氮含量的定量检测。建立数据处理后相应的模型,并且对比了不同光谱预处理和不同样本集划分算法对建立预测模型的影响,其中多元散色校正（MSC）后再使用小波平滑的预处理方法结合排序法划分样本集建立的偏最小二乘（PLS）回归模型效果最优,建模集校正标准差（RMSEC）和预测集校正标准差（RMSEP）分别为0.0566mg/L和0.0677mg/L,相对分析误差（RPD）为6.8932;在优化条件下测得方法的线性范围和检测限分别为0.005~1.350mg/L和0.0036mg/L。对海水、自来水和养殖水体进行加标回收实验,平均回收率在94%~109%之间,相对标准偏差在2.3%~5.8%之间。结果表明,实验建模效果良好,操作简单、方便,实验快速、可靠、无污染,表明利用比色光谱法结合微流控技术检测氨氮方法可行。