A computational approach to nutrition science reveals the dynamics of the protein content of human milk

To study the computational aspects of collecting available data in a systematically organized database is becoming a matter of urgency in Nutrition & Food Science. Indeed, major projects on developing big datasets have attempted to fill this gap, but so far with limitations on important facets of food composition such as its temporal variation and uncertainty quantification. The need for methodological data processing, from data acquisition, digital storage, statistics and visualization, via pattern recognition and modelling to prediction and optimization is key to make objective and knowledge-based decisions on scientific and technological issues for food industry, academy and regulation. This study aims to demonstrate the use of a recently developed database on the composition of human milk, the first and easily the most complex food in one's life. We show that the purpose-built ontology of the database, with novelties like considering the food composition as a temporal and stochastic response, can help to recognize patterns in the variation of its protein content.Industrial relevance textThis study highlights the need (i) for introducing ISO-like standards how to digitize food composition data; (ii) for computational methods to explore and utilize such databases to their full potentials.     

Effect of microwave heating time on the gel properties of chicken myofibrillar proteins and their formation mechanism

The present work was conducted to illustrate the mechanism of gel formation of myofibrillar proteins (MPs) under different microwave heating times. The results showed that the denaturation enthalpy (ΔH) of the MPs significantly decreased when the heating time increased from 3 to 9 s and then completely disappeared as the heating time progressed, indicating that the MPs gradually denatured and subsequently aggregated with increasing heating time, which was further verified by the changes in the secondary structure, electrophoretic bands, and gel properties (e.g., water holding capacity and textural profiles) of the MPs. Microstructural images indicated that the MP gel formed under 12 s had the most compact network, indicating that extended microwave heating time could induce quality deterioration of MP gels. Moreover, the hydrophobic forces, electrostatic forces, and disulphide bonds of the MPs gradually intensified with increasing microwave heating time, suggesting that both non-covalent and covalent bonds could promote molecular denaturation and subsequent aggregation of MPs. In addition, correlation analysis revealed that the changes in the molecular conformation of MPs induced by different microwave heating times could effectively regulate the formation of MP gels and their related properties.     

可控中子及X射线源测井技术发展现状及趋势

随着核仪器技术的进步以及安全健康的工业发展需求，具有人工可控性的中子源及X射线源逐步在测井领域得到推广应用，为油气等矿产资源的勘探开发提供了关键技术手段。可控中子及X射线源测井技术是以中子发生器或X射线管产生的中子或X射线与地层物质作用，通过探测中子、伽马或X射线从而进行地层孔隙度、密度、油气饱和度和元素含量的测井技术。本文概述了可控中子及X射线源测井技术，回顾了其发展历程；介绍了可控中子及X射线测井技术在数值模拟、仪器研制及数据处理方法方面的研究现状及应用，并展望了可控中子及X射线源测井技术的发展前景，认为未来可控中子及X射线源测井技术可从以下三个方面开展研究：分析不同射线在能量、时间及空间的分布规律，开展探测理论基础研究；联合不同学科优势，开展多类型多模式的新型仪器研制；增强谱数据校正及解析方法研究，开展谱信息综合分析及应用。     

Reformate-enriched gasoline-ethanol blends: Volatility criteria and azeotrope formation

Four hydrocarbon-base gasolines (BG) were formulated from the local refinery streams; isomerate, reformate, and light naphtha. The formulations were enriched in reformate. Each of these BG formulations was blended with 10 vol% of anhydrous ethanol. From ASTM-D86 distillation data, eight distillation curves were constructed and the trend line equations of these distillation curves were developed. Also, the area under each distillation curve (AUDC) was calculated through calculus definite integration technique. Subsequently, the area due to azeotrope formation (ADAF) for each BG-ethanol blend was estimated. In this paper, the influence of increasing reformate proportions on the created positive azeotrope, was studied. Also the influence of increasing reformate proportions on vapor pressure, Temperature for the vapor-liquid ratio of 20, T50 and octane number was studied. The results show that the R² values of the distillation curve equations prove the reliability of the fits. Also, increasing reformate proportion in the fuel blend improves the octane number while increasing reformate proportion decreases the volatility of the fuel formulation.     

生物毒素的脱毒技术及药物研究进展

作为一种特殊的生物源化学物质,生物毒素对农产品、人畜、环境等有不可忽视的健康隐患,但由于其结构与功能作用的多样性,其对于生物化学、医药学、环境生态学等又具有重要意义。本研究就生物毒素的来源分类、危害、脱毒技术及生物毒素的应用进行综述,以期为进一步生物毒素的监管与开发利用提供理论参考。     

有轨电车车载储能系统研究

有轨电车车载储能系统是当前的业内热点。对有轨电车车载储能系统进行了研究,分析了有轨电车车载储能系统的容量配置、拓扑结构选择,论述了有轨电车车载储能系统的能量管理策略,并介绍了有轨电车车载储能系统的应用情况。     

天然抗氧化剂抑制油脂氧化的研究进展

油脂在长期贮藏中易受多种因素影响发生氧化酸败,不仅影响食物感官,降低营养价值,同时产生一些有毒物质导致人体衰老、癌症以及多种慢性疾病的发生。天然抗氧化剂因具有安全性高、抗氧化能力较强的特点,已被普遍运用于油脂抗氧化中。从酚类、色素类、多肽类、甾醇类物质以及多糖类物质5个方面,综述了近年来从动植物中提取的天然抗氧化物质对油脂抗氧化的作用,旨在为天然抗氧化剂的开发、应用,油脂储存、保质研究提供参考。     

二级剪叉式液压升降机液压缸布置方式研究

分析了二级剪叉式液压升降机的三种主要布置方式,以及液压缸倾斜布置时的三种液压缸安装位置方案。对于其中的一种方案,应用虚位移原理计算求解液压缸推力,并以液压缸推力最小为目标建立优化设计数学模型,通过MATLAB软件得到液压缸推力最小时的液压缸安装位置。通过研究液压缸布置方式,提高了二级剪叉式液压升降机的设计效率和传动质量。     

浓香型白酒窖泥菌群结构、菌种功能及其改良研究进展

窖泥质量对浓香型白酒的发酵具有重要影响。一般来说，窖龄越大，窖泥质量越好，酿酒质量越好。近年来，以提高窖泥质量、促进窖泥老熟为导向的研究成为热点。本文按照从基础理论到改良应用研究的逻辑顺序，参考相关文献资料，就窖泥菌群结构、菌种功能及人工窖泥改良三方面进行综述。在时间维度上，随窖龄增加，窖泥原核菌群多样性逐渐增加，菌群结构逐渐趋于稳定（老熟），而真核菌群多样性逐渐减少，甚至消失。在空间分布上，池底窖泥原核菌群多样性大于池壁泥，而真核菌群相反，且其在池底老窖泥中趋于消失状态。窖泥中一些菌种参与己酸合成，如克氏梭菌（Clostridium kluyveri）和Ruminococcaceae CPB6，随窖泥老熟，窖泥菌群逐渐形成了完整的代谢网络。人工窖泥改良可以有效促进窖泥菌群的老熟。通过本综述，为进一步的窖泥菌群理论及应用研究提供了新思路。     

超高性能混凝土国内外研究与应用进展*

介绍了超高性能混凝土（UHPC）的制备原理和性能特点，对UHPC国内外研究和应用情况进行了综述，指出了我国UHPC研究和应用中存在的问题。结果表明：UHPC是一种具有优异的力学性能、耐久性能和环保效益的新型水泥基复合材料。国外在UHPC理论研究和应用研究方面都取得了大量成果，在实际工程中已经获得了广泛的应用；近年来我国在理论研究和应用方面也得到了快速发展；如何简化UHPC制备工艺、降低生产成本、补偿自收缩是今后的主要研究方向，完善相关规范标准以更好地指导UHPC现浇工程应用是目前首要解决的问题。随着环保和可持续发展理念的日益重视，UHPC这种低碳环保材料将有广阔的发展前景。