平行因子分析在赤潮藻滤液三维荧光光谱特征提取中的应用

在实验室条件下培养我国沿海常见的10种赤潮藻,测定了赤潮藻生长过程中藻滤液的三维荧光光谱.用平行因子分析对光谱进行分解,获得每种赤潮藻滤液荧光峰的个数及类型,即每种赤潮藻的特征光谱.在此基础上比较每种藻特征光谱的相似性和差异性,并分析了赤潮藻生长过程中滤液的荧光峰强度和生长阶段的关系,为基于赤潮藻滤液三维荧光光谱的赤潮藻种类识别测定技术提供依据.结果表明:不同赤潮藻的特征光谱之间存在差异.在指数生长期,类蛋白和类腐殖质荧光峰强度与藻密度呈正相关,说明两类有机物在水体中不断积累;在稳定期和衰亡期,两类有机物的荧光强度迅速增大,这可能是衰老和死亡细胞的破碎释放,以及细菌降解作用所致.平行因子分析可以有效提取赤潮藻的荧光特征,考察了赤潮藻荧光峰强度和生长阶段的关系.     

Beyond labels: A review of the application of quantum dots as integrated components of assays, bioprobes, and biosensors utilizing optical transduction

A comprehensive review of the development of assays, bioprobes, and biosensors using quantum dots (QDs) as integrated components is presented. In contrast to a QD that is selectively introduced as a label, an integrated QD is one that is present in a system throughout a bioanalysis, and simultaneously has a role in transduction and as a scaffold for biorecognition. Through a diverse array of coatings and bioconjugation strategies, it is possible to use QDs as a scaffold for biorecognition events. The modulation of QD luminescence provides the opportunity for the transduction of these events via fluorescence resonance energy transfer (FRET), bioluminescence resonance energy transfer (BRET), charge transfer quenching, and electrochemiluminescence (ECL). An overview of the basic concepts and principles underlying the use of QDs with each of these transduction methods is provided, along with many examples of their application in biological sensing. The latter include: the detection of small molecules using enzyme-linked methods, or using aptamers as affinity probes; the detection of proteins via immunoassays or aptamers; nucleic acid hybridization assays; and assays for protease or nuclease activity. Strategies for multiplexed detection are highlighted among these examples. Although the majority of developments to date have been in vitro, QD-based methods for ex vivo biological sensing are emerging. Some special attention is given to the development of solid-phase assays, which offer certain advantages over their solution-phase counterparts.     

红壤中痕量五氯酚的气相色谱法测定

五氯酚因其对生物体的广谱毒性和诱突变性，被我国和其他许多国家列为环境优先监测的持久性有机污染物之一。它在红壤地区曾广泛大量的使用，给环境造成一定的负面影响。本文探讨了应用超声波萃取、乙酸酐衍生化和气相色谱／电子捕获检测器(GC／ECD)测定红壤中痕量五氯酚的方法，并对不同的影响因素进行了对比，确定了一种较可靠的方法。该法的回收率为89％-101％。     

Large scale synthesis of red emissive carbon dots powder by solid state reaction for fingerprint identification

Red emissive carbon dots(CDs) powder was synthesized on a large scale from phloroglucinol and boric acid by a novel solid state reaction with yield up to 75%. This method is safe and convenient, for it needs neither high pressure reactors nor complicated post-treatment procedures. The as-prepared carbon dots powder exhibited strong red fluorescence with excitation-independent behavior. XPS measurement and PL spectra suggest that such red fluorescence arise from boron-doped structures in CDs, which increases along with the boron concentration on CDs surface but decreases when the concentration quenching effect takes place. To overcome the aggregation induced fluorescence quenching of the solid CDs powder,the conventional methods are dispersing CDs into a large amount of inert substrates. But our present work provides a new strategy to realize strong red fluorescence of CDs in solid state. As a result, such carbon dots powder works well for latent fingerprint identification on various material surfaces.     

红细胞分布宽度与心房颤动负荷的关系研究

目的观察病态窦房结综合征患者心房颤动负荷与红细胞分布宽度（RDW）的关系。方法选择病态窦房结综合征植入永久性人工心脏起搏器的患者81例,回顾性分析患者入院时基本资料、血常规及生化指标。记录术后3个月起搏器记录的心房颤动负荷。根据患者心房颤动负荷分为高负荷组及低负荷组,比较分析两组患者RDW及相关临床资料。结果心房颤动高负荷组患者RDW（15.61±1.23）%,高血压比例71%,明显高于低负荷组的（13.50±1.03）%、46%（P＜0.01或0.05）。高负荷组左心房直径、左心室舒张末期内径、WBC、TG、TC均大于低负荷组（P＜0.01或0.05）。心房颤动负荷影响因素的logistic回归分析显示,RDW是心房颤动负荷高的预测因素（OR=10.32,P＜0.01）。高TG、高血压、高胆固醇也是心房颤动高发的预测因素。结论心房颤动负荷除与年龄,高血压有关外,还与RDW明显相关。RDW可成为病态窦房结综合征患者心房颤动负荷的预测因素之一。     

一类新的红色荧光粉MY2S4:Er3+(M=Sr2+,Ba2+)的合成与表征

Eu2 激活的CaS: Eu[1],Eu3 激活的硫氧化物[2],Pr3 激活的Ca0.8Zn0.2TiO3[3]以及Eu2 和Mn2 掺杂的SrY2S4[4]都是重要的红色发光材料.     

油菜叶片的光谱特征与叶绿素含量之间的关系研究

叶绿素是作物生长中的重要因素,是植物营养胁迫、光合作用能力和生长状况的良好指示剂。实时、可靠的作物营养诊断是进行科学施肥管理的基础,也是实践精细农业的关键技术之一。采用便携式可见-近红外光谱仪,在室外自然光照条件下对不同氮肥水平下油菜叶片的光谱特性进行了研究,并根据作物特有的光谱特征,采用逐步回归分析方法建立了油菜叶片的叶绿素含量与红边位置和绿峰位置之间的定量分析模型。结果表明,将红边位置、绿峰位置二者作为自变量时,建立的模型效果优于采用单一的红边位置为自变量时建立的模型效果。其相关系数分别为0.863和0.848;校正标准偏差SEC分别为5.273和5.459, 说明采用红边位置和绿峰位置这两个参数更能很好地预测叶片的叶绿素含量。     

Bright Red Organic Electroluminescent Devices Based on a Soluble Rare Earth Complex Eu(TTA)_3 Phen

ＩｎｔｒｏｄｕｃｔｉｏｎＯｒｇａｎｉｃｅｌｅｃｔｒｏｌｕｍｉｎｅｓｃｅｎｔ（ＥＬ）ｄｅｖｉｃｅｓｈａｖｅｂｅｃｏｍｅｏｎｅｏｆｔｈｅｍｏｓｔｉｍｐｏｒｔａｎｔｓｕｂ－ｊｅｃｔｓｂｅｃａｕｓｅｏｆｔｈｅｉｒｐｏｔｅｎｔｉａｌａｐｐｌｉｃａｔｉｏｎａｓｌ...