16 resultados para Bee
Resumo:
A capillary electrophoresis (CE) method has been developed for the determination of six bioactive flavonoids that are commonly found in health foods: hesperidin, hyperin, isorhamnetin, kaempferol, quercetin and rutin. The effects of several parameters, such as pH, buffer concentration, separation voltage and UV detector wavelength, were investigated to find the optimal conditions. Using a HbBCh-NaiB-iO? buffer (pH 9.2), the analytes can be separated within 8 min. The relative standard deviations of migration times in eight injections were between 0.77% and 0.93%, and those of the peak areas ranged from 3.8% to 8.6%. A high reproducibility and excellent linearity was observed over two orders of magnitude, with detection limits (S/N = 3) ranging from 0.34ug ml to 2.9ug ml for all the six analytes. Recoveries ranged from 80.4 % to 113.9 %. The new method is simple, reproducible and sensitive. No solid phase extraction for sample pretreatment is necessary. Analysis results are accurate in application to bee pollens.
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A simple and sensitive method for evaluating the chemical compositions of protein amino acids, including cystine (Cys)(2) and tryptophane (Try) has been developed, based on the use of a sensitive labeling reagent 2-(11H-benzo[alpha]-carbazol-11-yl) ethyl chloroformate (BCEC-Cl) along with fluorescence detection. The chromophore of the 1,2-benzo-3,4-dihydrocarbazole-ethyl chloroformate (BCEOC-Cl) molecule was replaced with the 2-(11H-benzo[alpha]-carbazol-11-yl) ethyl functional group, yielding the sensitive fluorescence molecule BCEC-Cl. The new reagent BCEC-Cl could then be substituted for labeling reagents commonly used in amino acid derivatization. The BCEC-amino acid derivatives exhibited very high detection sensitivities, particularly in the cases of (Cys)(2) and Try, which cannot be determined using traditional labeling reagents such as 9-fluorenyl methylchloroformate (FMOC-Cl) and ortho-phthaldialdehyde (OPA). The fluorescence detection intensities for the BCEC derivatives were compared to those obtained when using FMOC-Cl and BCEOC-Cl as labeling reagents. The ratios I (BCEC)/I (BCEOC) = 1.17-3.57, I (BCEC)/I (FMOC) = 1.13-8.21, and UVBCEC/UVBCEOC = 1.67-4.90 (where I is the fluorescence intensity and UV is the ultraviolet absorbance). Derivative separation was optimized on a Hypersil BDS C-18 column. The detection limits calculated from 1.0 pmol injections, at a signal-to-noise ratio of 3, ranged from 7.2 fmol for Try to 8.4 fmol for (Cys)(2). Excellent linear responses were observed, with coefficients of > 0.9994. When coupled with high-performance liquid chromatography, the method established here allowed the development of a highly sensitive and specific method for the quantitative analysis of trace levels of amino acids including (Cys)(2) and Try from bee-collected pollen (bee pollen) samples.
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(Zr65Al10Ni10Cu15)(100-x) Nb-x glass forming alloys with Nb contents ranging from 0 to 15 at.% were prepared by water-cooled copper mould cast. The alloys with different Nb contents exhibited different microstructures and mechanical properties. Unlike the monolithic Zr65Al10Ni10Cu15 bulk metallic glass, only a few primary bee beta-Ti phase dendrites were found to distribute in the glassy matrix of the alloys with x = 5. For alloys with x = 10, more beta-phase dendrites forms, together with quasicrystalline particles densely distributed in the matrix of the alloys. For alloys with x = 15, the microstructure of the alloy is dominated by a high density of fully developed P-phase dendrites and the volume fraction of quasicrystalline particles significantly decreases. Room temperature compression tests showed that the alloys with x = 5 failed at 1793 MPa and exhibited an obvious plastic strain of 3.05%, while the other samples all failed in a brittle manner. The ultimate fracture strengths are 1793, 1975 and 1572 MPa for the alloys with x = 0, 10 and 15 at.% Nb, respectively.
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The chicken is the most extensively studied species in birds and thus constitutes an ideal reference for comparative genomics in birds. Comparative cytogenetic studies indicate that the chicken has retained many chromosome characters of the ancestral avia
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Multilayers with a structure of Si/[Fe(10 nm)/CU(10 nm)](5) were deposited on Si(100) substrates and then irradiated at room temperature by using 2-MeV Xe20+. The modifications of the multilayers were characterized using a depth profile analysis of the Auger electron spectroscopy (AES) data and the evolution of crystallite structures of the multilayers were analyzed by using X-ray diffraction (XRD). The AES depth profiles indicated that de-mixing of the Fe and the Cu layers was observed at low ion fluences, but inter-mixing of the Fe and the Cu layers was found at high ion fluences and destroyed the layered structure of the multilayers. The obtained XRD patterns showed that, after irradiation by 2-MeV Xe20+ at; 2 x 10(16) ions/cm(2), the peaks of the multilayers related to a Cu-based fee solid solution and an Fe-based bee solid solution phase became visible, which implied that the inter-mixing at the Fe/Cu interface resulted in the formation of new phases. A possible mechanism of modification in the Fe/Cu multilayers induced by ion irradiation is briefly discussed.
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数据分配是研究数据如何分布到多个物理节点的NP-Complete问题.给出数据分配算法的数学模型,提出基于时序片段评价的数据分配算法——DATE.该算法利用数据在短时域访问量分布不均的特点,将多目标优化问题转化为单一目标求解,采用蜜蜂算法(collective Honey bee behavior)调整参数并反馈算法结果,以实现系统负载均衡.随机实验结果表明,DATE相比于同类Random,roundrobin,Bubba算法在系统总时段均衡ET、系统时段内均衡值ES、系统最大波峰值EM 3个指标中表现更优.
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一、蜜蜂嗅觉学习记忆应用基础研究特殊气味的探测在刑侦工作中意义重大,常用的警犬探测和仪器分析都有其局限之处。蜜蜂嗅觉灵敏,且学习记忆能力突出,具有为刑侦工作所用的潜力。基于此,我们希望通过训练蜜蜂将其对糖水奖励的伸喙反应与指定气味建立条件反射的原理,配合适当的训练方法,达到利用蜜蜂探测危险气味的目的。在实验中,我们首先比较了不同喂养方式的蜜蜂在气味学习中的差别。由于低浓度气味无法直接使蜜蜂建立条件化,我们采用了逐渐降低气味浓度的方法,成功训练蜜蜂对低浓度(3.6×10-7) 醋酸气味建立了条件反射。结果如下: 1)自然放养与人工孵化两种不同喂养方式的蜜蜂,各两组,分别学习醋酸CS+/薄荷CS-,或柠檬CS+/薄荷CS-的气味配对。以“获得(CS+),巩固(CS-/CS+ CS+/CS- CS-/CS+),检测,干净空气假阳性检测”的顺序操作。结果显示自然放养蜜蜂对醋酸气味没有偏好(第一次给醋酸气味伸喙率:6%),学习醋酸气味能力较低(24小时后检测正确率:66%, n=25),相对应,该类蜜蜂对柠檬气味显示出明显偏好(第一次给柠檬气味伸喙率:41%,P< 0.01),而学习效果(检测正确率:50%,n=20)与醋酸组相近(P>0.05)。人工孵化的蜜蜂对醋酸气味学习能力较自然放养蜜蜂大大提高(检测正确率:96%, n=32, P<0.01),同时对柠檬的学习结果(检测正确率:80%, n=32)也明显提高(0.01
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A novel labeling reagent 1-(2-naphthyl)-3-methyl-5-pyrazolone (NMP) coupling to liquid chromatography with electrospray ionization mass spectrometry for the detection of carbohydrates from the derivatized rape bee pollen samples is reported. Carbohydrates are derivatized to their bis-NMP-labeled derivatives. Derivatives showed an intense protonated molecular ion at m/z [M+H](+) in positive-ion detection mode. The mass-to-charge ratios of characteristic fragment ions at m/z 473.0 could be used for the accurately qualitative analysis of carbohydrates. This characteristic fragment ion is from the cleavage of C2-C3 bond in carbohydrate chain giving the specific fragment ions at m/z [MH-CmH2m+1Om-H2O](+) for pentose, hexose and glyceraldehydes and at m/z [MH-CmH2m-1Om+1-H2O](+) for alduronic acids such as galacturonic acid and glucuronic acid (m = n - 2, n is carbon number of carbohydrate). No interferences for all aliphatic and aromatic aldehydes presented in natural environmental samples were observed due to the highly specific parent mass-to-charge ratio and the characteristic fragment ions. The method, in conjunction with a gradient elution, offered a baseline resolution of carbohydrate derivatives on a reversed-phase Hypersil ODS-2 column. The carbohydrates such as mannose, galacturonic acid, glucuronic acid, rhamnose, glucose, galactose, xylose, arabinose and fucose can successfully be detected.
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On a reversed phase Hypersil BDS C-18 (200 mm x 4. 6 mm, 5 mu m) column, 20 amino acids, which were derivatized using 2-(11H-benzo [a] carbazol-11-yl) ethyl carbonochloridate (BCEC-Cl) as pre-column derivatization reagent, were separated in conjunction with a gradient elution. Optimum derivatization was obtained by reacting of amino acids with BCEC-Cl at room temperature for 5 min in the presence of sodium borate catalyst in acetonitrile solvent. The fluorescence excitation and emission wavelengths were 279 nm and 380 nm respectively. The identification of amino acid derivatives from hydrolyzed bovine serum albumin and bee pollen was carried out by post-column mass spectrometry with electrospray ion source in positive ion mode. Linear correlation coefficients of the amino acid derivatives were > 0.9990, and detection limits (at signal to noise of 3:1) were 1.49 - 19.74 fmol for the labeled amino acids.
Resumo:
A novel labeling reagent 1-(2-naphthyl)-3-methyl-5-pyrazolone (NMP) coupled with capillary electrophoresis (CE) with DAD detection for the determination of carbohydrates has been developed. The chromophore in the 1-phenyl-3-methyl-5-pyrazolone (PMP) reagent is replaced by naphthyl functional group, which results in a reagent with very high molar absorptivity (epsilon(251nm) = 5.58 x 10(4) L mol(-1) cm(-1)). This pen-nits NMP-labeled carbohydrates to be detected with UV absorbance in standard 50-mu m-i.d. fused silica capillaries by zone electrophoresis. in this mode, nanomolar concentrations of detection limits are obtained. The method for the derivatization. of carbohydrates with NMP is simplified. The derivatization reaction is rapid and mild in the presence of ammonia catalyst without further transfer steps. Nine monosaccharide derivatives such as mannose, galacturonic acid, glucuronic acid, rhamnose, glucose, galactose, xylose, arabinose and fucose can successfully be detected in CE mode. Good reproducibility can be obtained with relative standard deviation (R.S.D.) values of the migration times and peak area, respectively, from 0.44 to 0.48 and from 3.2 to 4.8. Furthermore, the developed method has been successfully applied to the analysis of carbohydrates in the hydrolyzed rape bee pollen samples. (C) 2008 Published by Elsevier B.V.
Resumo:
A sensitive method for the determination of free fatty acids using 2-(2-(anthracen-10-yl)-1H-naphtho[2,3-dimidazol-1-yl) ethyl-p-toluenesuIfonate (ANITS) as tagging reagent with fluorescence detection has been developed. ANITS could easily and quickly label fatty acids in the presence of the K2CO3 catalyst at 90 degrees C for 40 min in N,N-dimethylformamide solvent. From the extracts of rape bee pollen samples, 20 free fatty acids were sensitively determined. Fatty acid derivatives were separated on a reversed-phase Eclipse XDB-C8 column by HPLC in conjunction with gradient elution. The corresponding derivatives were identified by post-column APCI/MS in positive-ion detection mode. ANITS-fatty acid derivatives gave an intense molecular ion peak at mlz [M+H](+); with MS/MS analysis, the collision-induced dissociation spectra of m/z [M+H](+) produced the specific fragment ions at mlz [M-345](+) and mlz 345.0 (here, m/z 345 is the core structural moiety of the ANITS molecule). The fluorescence excitation and emission wavelengths of the derivatives were lambda(ex) = 250 nm and lambda(em) = 512 nm, respectively. Linear correlation coefficients for all fatty acid derivatives are > 0.9999. Detection limits, at a signal-to-noise ratio of 3 : 1, are 24.76-98.79 fmol for the labeled fatty acids.
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射频识别技术(Radio Frequency Identification, RFID)作为采集与处理信息的高新技术和信息化标准的基础,被列为本世纪十大重要技术之一。但是,RFID技术的大规模实际应用仍处于探索阶段,RFID系统的应用基础技术还存在着大量尚未解决的关键问题,其中RFID系统优化是RFID技术研究和应用的重要课题。由于RFID系统本身的动态性和不确定性, RFID系统优化面对的一般是非线性、多目标、大规模的复杂优化问题,传统的数学优化算法在处理这些问题时,存在困难。为此,研究新的优化算法成为RFID技术实际应用和理论研究中必须解决的课题。 智能计算方法是求解复杂RFID系统优化问题的一种可供选择的算法。智能计算作为一个新兴领域,其发展已引起了多个学科领域研究人员的关注,目前已经成为人工智能、经济、社会、生物等交叉学科的研究热点和前沿领域。智能计算的各类算法已在传统NP问题求解及诸多实际应用领域中展现出其优异的性能和巨大的发展潜力。 本文旨在对RFID系统的各种优化问题进行深入研究和探讨,面向RFID技术的实际应用需求构建其优化模型,并基于智能计算思想设计能够有效求解这些复杂模型的新型智能优化算法。具体研究内容包括: 首先,进行了RFID读写器网络的调度问题研究。在深入分析RFID网络中读写器冲突类型和成因的基础上,考虑RFID网络中的读写器冲突约束,以最小化系统中的频道数量、时隙分配以及总处理时间建立了RFID读写器网络调度的数学优化模型。从生物学的角度出发提出基于生态捕食模型的改进PSO算法(Particle Swarm Optimizer based on Predator-prey Coevolution, PSOPC),在一定程度上解决了PSO算法在迭代后期随着多样性丧失而陷入局部最优的缺点。应用PSOPC设计了求解RFID读写器网络调度模型的智能求解算法,分别给出算法的求解框架、关键步骤的实现机制。通过在不同规模的RFID读写器网络上进行实例仿真,验证了算法的有效性和模型的正确性。 其次,进行了基于菌群自适应觅食算法RFID网络规划问题的研究。考虑RFID系统在不同应用环境下的系统需求,建立了RFID网络规化的数学模型,其目标函数分别为:RFID网络标签覆盖率的最大化目标函数、RFID读写器冲突的最小化目标函数、RFID网络运行的经济效益最大化目标函数、RFID网络运行的负载平衡目标函数以及同时考虑全局目标的混合目标函数。将自然界生物觅食所采用的自适应搜索策略与细菌的趋化行为和群体感应机制相集成,提出了适合求解复杂RFID网络规划问题的菌群自适应觅食算法(Adaptive Bacterial Foraging Optimization, ABFO)。通过仿真实验基于ABFO算法分别对RFID网络规划模型中的五个目标函数进行了实例求解和分析,测试结果与标准PSO算法和遗传算法进行了比较分析。 再次,进行了基于系统智能方法的RFID网络规划分布式决策模型研究。采用分布式决策的思想建立了RFID网络规划的层次模型,在一定程度上缓解、分散了RFID网络规划问题的复杂性,以解决具有混合变量(包括离散变量和连续变量)的多目标RFID网络规划问题。针对层次模型求解的复杂性,以复杂适应系统理论为指导思想设计了一种新型系统智能优化算法对RFID网络规划的层次模型进行求解。系统智能算法将群体智能中的单层群体系统概念扩展为多层涌现系统,仿真实验表明新提出的算法显著提高了智能计算方法的寻优能力,以及算法的适应性、鲁棒性和平衡性等性能。 最后,进行了RFID网络目标跟踪系统中的数据融合研究。以基于RFID技术的目标定位与跟踪系统为应用背景,提出了基于模糊聚类方法的多RFID读写器数据融合模型框架。通过深入分析蜜蜂采蜜的基本生物学规律,对蜜蜂的个体行为及群体行为进行模拟,提出了一类新型群体智能优化算法-蜂群优化算法(Bee Swarm Optimization, BSO),并将BSO算法嵌入RFID目标定位跟踪系统,作为其模糊聚类的基本算法。仿真研究表明,提出的融合模型能够有效的过滤读写器对跟踪目标的错误监测数据,显著提高目标定位与跟踪的精度。
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利用JL-3600t压机实验研究了800MPa、不同温度条件下泥质岩部分熔融过程,利用EMPA和LA-ICPMS分别测定了熔体相和残留相中主要化学组成以及微量元素(包括REE)组成。实验结果表明,泥质岩低程度部分熔融(〈25%)形成的熔体中REE含量分布于308.8-3565μg/g较大范围内,显示较大的不均匀性,其REE球粒陨石标准化分布模式显示弱的M型REE“四分组效应”,而残留相矿物石榴子石中REE含量变化于167.5—1008μg/g范围,也显示有明显的不均匀性,其REE球粒陨石标准化分布模式显示明显的W型REE“四分组效应”,尤以第一段La-Nd最为显著;随着部分熔融程度的增加(〉30%),其形成的熔体中REE集中在523.2—1130μg/g范围,残留相石榴子石中BEE集中在288.6—512.7μg/g范围,均显示相对均匀;熔体相和残留相石榴子石矿物的REE球粒陨石标准化分布模式不发育REE“四分组效应”。实验前后Cl质量平衡计算的结果表明该实验过程中并没有产生岩浆挥发分相。上述特征表明S型花岗岩中的REE“四分组效应”现象很可能与泥质岩低程度部分熔融具有成因联系。