基于光谱和成像技术的果蔬质量检测研究进展

为保证食品安全和消费者健康,无损检测技术广泛应用于果蔬质量检测中。光谱和图像技术可分别获取果蔬的内部和外部信息,成为质量检测的有效工具。为跟踪国内外研究进展并分析研究现况,从果蔬外部品质(尺寸、形状、表面缺陷、颜色、纹理等)、内部品质(内部缺陷、可溶性固形物、可滴定酸、水分、类胡萝卜素等单一品质及综合品质)、成熟度、货架期/贮藏期、产品溯源、生长监测、安全(农药残留、病虫和细菌侵染、转基因产品等)检测及光学系统设计等方面综述了光谱和成像技术的应用,分析了存在的图谱库不完善、解混处理算法复杂、高精度和便携式的光学系统开发力度不够、校正模型的影响因素复杂等问题。然后,归纳了发展趋势,指出了各组分可视化分析及交互作用机理解析、光与果蔬组织的交互作用机理分析和光学特性参数反演等光学特性分析、科学合理的综合评价体系的建立、新算法的应用和多种算法的联合使用、不同算法的可靠性和稳定性的提高、稳定和普适模型的建立、低成本和便携式等光学分析仪器的商品化开发和商业化应用等成为进一步探索的方向,为基于光谱和成像技术的果蔬质量检测发展提供了参考。     

发射光谱法同时测定钛基复合材料中的镍铁钼锰和硼的研究

研究了用碳粉、碳酸钙、氧化铜和氧化铍作缓冲剂同时测定钛基复合材料中的镍、铁、钼、锰和硼的发射光谱法,选择铍作内标线,不需分离、不需化学处理,直接压样于杯形的石墨电极中,具有简便、快速、准确。对测定条件、干扰因素进行了研究,从而建立测定镍、铁、钼、锰和硼的新方法。镍、铁、钼、锰和硼的分析线分别为300.36,248.33,315.82,260.57和249.68 nm,内标线选择为铍的298.61 nm,镍、铁、钼、锰和硼的线性范围分别为0.003%～0.30%;0.001%～0.20%;0.003%～0.30%;0.001%～0.20%;0.001%～0.20%。镍、铁、钼、锰和硼的检测限分别0.003%,0.001%,0.003%,0.001%,0.001%,其回收率在95.80%～104.8%范围内,当n=9时,相对标准偏差RSD均小于5%。用于样品的测定取得了满意的结果。     

Cognition as Morphological/Morphogenetic Embodied Computation In Vivo

Cognition, historically considered uniquely human capacity, has been recently found to be the ability of all living organisms, from single cells and up. This study approaches cognition from an info-computational stance, in which structures in nature are seen as information, and processes (information dynamics) are seen as computation, from the perspective of a cognizing agent. Cognition is understood as a network of concurrent morphological/morphogenetic computations unfolding as a result of self-assembly, self-organization, and autopoiesis of physical, chemical, and biological agents. The present-day human-centric view of cognition still prevailing in major encyclopedias has a variety of open problems. This article considers recent research about morphological computation, morphogenesis, agency, basal cognition, extended evolutionary synthesis, free energy principle, cognition as Bayesian learning, active inference, and related topics, offering new theoretical and practical perspectives on problems inherent to the old computationalist cognitive models which were based on abstract symbol processing, and unaware of actual physical constraints and affordances of the embodiment of cognizing agents. A better understanding of cognition is centrally important for future artificial intelligence, robotics, medicine, and related fields.     

Astrophysical combustion

There are three main astrophysical combustion systems: the evolution of stars, formation of interstellar dust and particulates, and the transition to hadrons in the early universe. These are described in terms of general combustion concepts, such as ignition, laminar and turbulent flames, detonations, multiphase flows, and particle and soot formation. Viewed in this way, the universe and many of its most important astronomical components are combustion systems, and we should use these as naturally occurring laboratories for exploring new and familiar combustion regimes. A more detailed discussion focuses on one type of combustion system, the ignition and development of turbulent flames in Type Ia supernovae, and the importance of the transition to a detonation.     

Music,empathy and cultural understanding

In the age of the Internet and with the dramatic proliferation of mobile listening technologies, music has unprecedented global distribution and embeddedness in people's lives. It is a source of intense experiences of both the most intimate and solitary, and public and collective, kinds – from an individual with their smartphone and headphones, to large-scale live events and global simulcasts; and it increasingly brings together a huge range of cultures and histories, through developments in world music, sampling, the re-issue of historical recordings, and the explosion of informal and home music-making that circulates via YouTube. For many people, involvement with music can be among the most powerful and potentially transforming experiences in their lives. At the same time, there has been increasing interest in music's communicative and affective capacities, and its potential to act as an agent of social bonding and affiliation. This review critically discusses a considerable body of research and scholarship, across disciplines ranging from the neuroscience and psychology of music to cultural musicology and the sociology and anthropology of music, that provides evidence for music's capacity to promote empathy and social/cultural understanding through powerful affective, cognitive and social factors; and explores ways in which to connect and make sense of this disparate evidence (and counter-evidence). It reports the outcome of an empirical study that tests one aspect of those claims, demonstrating that ‘passive’ listening to the music of an unfamiliar culture can significantly change the cultural attitudes of listeners with high dispositional empathy; presents a model that brings together the primary components of the music and empathy research into a single framework; and considers both some of the applications, and some of the shortcomings and problems, of understanding music from the perspective of empathy.     

安徽齐云山恐龙蛋化石的显微结构和拉曼光谱特征

安徽齐云山恐龙蛋化石为最新发现,为研究恐龙蛋壳形成方式的多样性提供了新的资料。利用偏光显微镜和激光拉曼光谱仪分析了齐云山恐龙蛋蛋壳的内部矿物组成和结构特征,结果表明：齐云山恐龙蛋壳的主要组成为方解石和有机基质,其次还包括少量的石英、蛋白石、白云母、白云石、海绿石和针铁矿,成因归属于矿质填充作用和碳化作用。偏光显微结构特征显示,原生方解石和次生方解石呈明暗交替的文象结构。原生方解石结晶较差,为蛋壳成岩石化的产物,次生方解石结晶较好,其中可见少量的石英。拉曼测试原生方解石和次生方解石的主要特征峰均位于1 087,282,713和155 cm-1附近,但次生方解石比原生方解石的特征拉曼峰散射强度更强,结晶程度更高,颗粒更粗大,与镜下观察结果一致。有机基质微晶振动和晶面内C-C伸缩振动的拉曼峰分别位于1 360和1 600 cm-1附近。466,209,130,357和404 cm-1附近的拉曼峰为石英的特征峰。此外,898,629,1 458,654和481 cm-1附近的特征峰分别代表蛋白石、白云母、白云石、海绿石和针铁矿,表明围岩中的矿物质已通过蛋壳气孔或裂隙进入其内部。该结论为研究恐龙蛋壳化石的矿物成因和赋存层位的沉积环境提供了重要的参考资料。     

The state-of-the-art research of the application of ultrasound to winemaking: A critical review

As a promising non-thermal physical technology, ultrasound has attracted extensive attention in recent years, and has been applied to many food processing operation units, such as involving filtration, freezing, thawing, sterilization, cutting, extraction, aging, etc. It is also widely used in the processing of meat products, fruits and vegetables, and dairy products. With regard to its application in winemaking, most of the studies available in the literature are focused on the impact of ultrasound on a certain characteristic of wine, lacking of systematic sorting of these literatures. This review systematically summarizes and explores the current achievements and problems of the application of ultrasound to the different stages of winemaking, including extraction, fermentation, aging and sterilization. Summarizing the advantages and disadvantages of ultrasound application in winemaking and its development in future development.     

基于高光谱技术的酸奶中常见致病菌的快速鉴别及计数

酸奶是一种发酵型乳制品饮料,因其特殊的功能性和良好的口感而广受欢迎。但由于商业链的不正当运行,如奶源非法获取、灭菌不充分等原因,导致酸奶中致病菌大量滋生,酸奶中毒事件频繁发生。酸奶中常见的致病菌主要有大肠杆菌、金黄色葡萄球菌和沙门氏菌,这三种致病菌由人体摄入并达到一定的数量时会产生腹痛、腹泻等严重的消化道疾病,并且会破坏人体肠道内的正常菌群平衡,因此国标对奶制品中这三种致病菌的数量已有明确的限量规定。由于酸奶的主要消费对象为老人和小孩,故其潜在危害不容小觑。传统菌落检测方法虽具有简单,灵敏、可操作性强等优点,但当不同菌落混杂在一起时无法同时进行定性定量的检测,且具有试剂成本高,检测周期长,人为因素影响较大等缺点。因此开发一种快速、简单、准确的混合鉴定计数方法为避免致病菌对酸奶的潜在危害提供了有效的途径。高光谱技术同时包含样本的光谱信息与图像信息,既能够根据化学组分的微小变化进行精确识别（光谱信息）,又能够反映出菌株在外部多层次的变化（图像信息）。因此该研究尝试对比高光谱图像技术和光谱技术,采用模式识别的方法,对比不同的模型识别结果,优选出最佳识别率的识别模型作为计数模型,最后通过最佳鉴别计数模型的识别分类结果来达到对酸奶中常见致病菌鉴定计数的目的。首先,购买酸奶中常见的乳酸菌种（保加利亚乳杆菌、嗜热链球菌、嗜酸乳杆菌、干酪乳杆菌、植物乳杆菌）和潜在污染的致病菌种（金黄色葡萄球菌、大肠杆菌、沙门氏菌）等标准菌株进行培养,提取经过48 h培养后的菌落图像信息和光谱信息。采用几种不同的预处理方式（SNV,MC,MSC,1stDER,2ndDER）对所提取的光谱数据进行预处理,并应用遗传算法筛除光谱数据中冗余的波段,保留有效波段。利用图像处理技术对图像信息中的菌株与培养基背景进行去除,然后采用主成分分析法从每幅图中优选出3个特征波长,并运用图像处理技术从特征波长所对应图像中提取菌株的18个基于GLCM的纹理特征信息。挑选合适的主成分分别建立不同的鉴别模型（LDA,KNN,BP-ANN,LS-SVM）,通过其最终的鉴别模型的识别率来确定最佳鉴别计数模型。最后从标准菌株中分别挑选出30株进行计数测试,通过比较模式识别的分类数量结果与菌株的实际数量来验证模式识别效果的准确率。研究表明,运用SNV预处理后光谱数据在提高信噪比效果上明显优于其他几种预处理方式。745.790 8,773.098 4和779.207 0 nm为图像信息中方差贡献率最大的三个波长,运用从特征波长所对应的图像中所提取的纹理特征信息建立图像识别模型。通过对比图像信息和光谱信息的模式识别结果发现,光谱特征鉴别模型普遍优于图像纹理特征鉴别模型,且当主成分数为9时,运用光谱特征所建立的LS-SVM模型的校正集识别率为96.25%,预测集的识别率为91.88%,为最优模型。采用优选的最优模型对菌株进行识别计数,大肠杆菌计数的相对误差为3.33%,金黄色葡萄球菌和沙门氏菌计数的相对误差均为0,验证了高光谱技术应用于酸奶中常见致病菌的鉴别计数的可行性。     

XRF,PXRD和FTIR的广藿香主要组分测定与表征

中药的质量控制和评价在现代化医学发展中起着至关重要的作用。为了客观和高精度的鉴别中药材特性,实现对中药材质量稳定性的控制,利用XRF,PXRD和FTIR对广藿香的主要组分及微结构进行测定,建立了基于XRF,PXRD和FTIR鉴别中药材主要组分及产地特征的新方法。实验结果表明,广藿香中含有K,Ca,Cl,Si和P等多种元素,独有的元素特征谱是广藿香形成药效好的道地药材的部分物质基础。广藿香含有大量的晶态物质及少量非晶态物质,且Ca在其中以CaC_2O_4·H_2O状态存在,被检样品中该晶体物质含量的多少与相关锐峰的强弱成正比。对FTIR谱峰进行了归属与分析,提供了醇类、黄酮及草酸钙等物质的化学组分信息。该法联用XRF,PXRD和FTIR技术从元素、原子和分子微观层面客观地表征了广藿香主要组分及微结构的相关信息,避免了单独使用某种方法的片面性,能避免因复杂的前处理导致样品固有组分的改变,具有快速、简洁、再现性好及易于接受等优点,为广藿香及其他中药材的质量控制和品质评价提供一种新方法。     

ICP-MS在城市道路尘土中非常规监测微量元素污染评价中的应用

采集了石河子城区32个站点的道路尘土样本,测定了样品中10种非常规监测微量元素(B,Be,Bi,Co,Ga,Li,Sb,Sn,Tl,V)的含量。并采用地积累指数法、元素相关性分析和主成分分析法对尘土中的微量元素污染程度和来源进行了分析。结果表明：道路尘土中微量B,Be,Bi,Co,Ga,Li,Sb,Sn,Tl和V的平均含量分别为41.11,1.68,0.52,13.58,36.26,24.91,3.37,3.64,0.42,72.66 mg·kg-1。其中,Co,Li和Tl的平均含量均低于新疆土壤元素背景值,B,Be和V的平均含量和新疆土壤元素背景值相似,Bi,Ga,Sb和Sn的平均含量高于新疆和世界土壤元素背景值。地积累指数计算结果表明：B,Be,Co,Ga,Li,Tl和V污染级数为0,说明无污染,而Sb,Bi和Sn污染较为严重(污染等级分别为2,1,1)。元素相关性分析和主成分分析多元统计方法计算结果表明,Bi,Co,Sb和Tl主要是人为来源,B,Be,Li和V主要是自然来源,而Ga和Sn可能受自然因素和人为因素的共同影响。