25 resultados para 15834
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The effectiveness of Oliver & Pharr's (O&P's) method, Cheng & Cheng's (C&C's) method, and a new method developed by our group for estimating Young's modulus and hardness based on instrumented indentation was evaluated for the case of yield stress to reduced Young's modulus ratio (sigma(y)/E-r) >= 4.55 x 10(-4) and hardening coefficient (n) <= 0.45. Dimensional theorem and finite element simulations were applied to produce reference results for this purpose. Both O&P's and C&C's methods overestimated the Young's modulus under some conditions, whereas the error can be controlled within +/- 16% if the formulation was modified with appropriate correction functions. Similar modification was not introduced to our method for determining Young's modulus, while the maximum error of results was around +/- 13%. The errors of hardness values obtained from all the three methods could be even larger and were irreducible with any correction scheme. It is therefore suggested that when hardness values of different materials are concerned, relative comparison of the data obtained from a single standard measurement technique would be more practically useful. It is noted that the ranges of error derived from the analysis could be different if different ranges of material parameters sigma(y)/E-r and n are considered.
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利用发根农杆菌(Agrobacterium rhizogenes)1601,1000,1500,15834,A4,均成功地转化了中药青蒿(Artemisia annua L.)并且建立了pRi1601,pRi15834,pRiA4诱导的发根培养。pRi1601,pRi15834的发根诱导率比其它质粒高。太老或太幼的叶片不利子发根的诱导;发根主要从叶脉的伤口处萌发;带顶芽或带侧芽的叶片容易诱导根,但不一定是发根。光照有利于发根的诱导和发根的生长。以每个发根的“绝对生长速率”(Gtowth Ratio,GR)和绝对“侧根”数量(Number of Side Roots,NSR),通过大量的发根系的筛选,建立了8个发根系,1601-L-1, 1601-L-2, 1601-L-3, 1601-L-4, 15834-L-1, 1601-P-I, 16 01-P-2,15834-L-2。Southern分子检测表明,160l-1-1,1801-L-2, 1601-L-3,1601-L-4,1601-P-1,1601-P-2均为转化子。8个建立的发根系之间无论生长或者QHS的合成存在明显的差异。比较光/暗(16/8hrs),25℃条件下培养的16 01-L-1,1601-L-2,1601-L-3,1601-L-4,1601-P-l,和1601-P-2,其中16 01-L-3的生长最快,160l-L-1的生长最慢;但是,1601-L-1的QHS的含量最高(可达1. 048%),1601-1-3的QHS的含量最低。160Z-L-3,15834 -L-1和2583:1-L-2的生长速率相差不大。用盛有l000mLMS液体培养基的3000mL的锥形瓶扩大培养1601-L -3,15834-L-1和15834-L-2,转速为ll0rlpm,培养过程中发根容易形成发根球(Hairy Root Balis,HRB),HRB的形成严重影响发根的生长和QHs的合成,HpLC分析表明扩大培养发根中QHS的含量比较低。 改变MS基本培养基中的无机离子的浓度,研究不同无机离子对发根生长和QHS的合成的影响。 l、KN03为18.79×10-3M时有利于1601- L-1生长,为14. 84×10-3M时有利于QHS的合成。NH-4N0-3浓度在10.93-12. 49×10—3M范围内有利于1601-L-1生长,在0-20.62×10-3M范围内对QHS的合成影响不大,大于20. 62×lO-3M不利QHS的合成。培养基中NH-4+/N0-3-比值为0. 37-0. 4-0.52:1时有利于发根的生长,比值为0.52 - 0.58:1时有利于QHS的合成。 2、H-2P0-4-浓度为2.498×10-3M时有利于发根的生长在0-2. 498×l0-3M范围内,随着浓度的提高,促进发根的生长。培养基中的H2P4 -的浓度在0-1.249×lO-3M的范围内,随着浓度的提高,促进QHS的合成,为1.249×10-3M时QHS的含量最高。 3、培养基中最适16 01-L-1生长的Ca-2+浓度为0.198- 0.766×10-3M,大于或小于该浓度范围,显著地抑制发根的生长。但是,在0-3.695×10-3M范围内,随着培养基中Ca-2+浓度提高,促进QHS的合成,最适Ca-2+浓度为3.695×l0-3M。 4、培养基中不加Mg-2+时,完全抑制发根生长,在0. 142×10-3M-7.506×l0-3M浓度范围内,对发根生长影响没有明显的差别。但是,HPLC和UV分析发根中QHS含量,培养基中不加Mg-2+时,发根中QHS含量最高。 5、培养基中的Fe-2+浓度在0. 25 -1.0×10-3M范围内,同时有利于16 01- L-1的生长和QHS的形成。 6、培养基中最适合予16 01- L-3生长的KI浓度为2.5ppm,大于或小予该浓度均显著地抑制发根的生长,培养基中加入KI明显地降低发根中的QHS的含量。 7、H2BO3对l601-L-l生长影响不大,HPLC分析QHS的含量,培养基中的H3BO3浓度为100ppm和400ppm,QHS的含量分别为1.69mg/g和1.80mg/g(DW)。 8、Cu-2+对1601-L-3的生长影响显著,最适合1601-L-3生长的Cu-2+浓度为1.00ppm,在0 -1.00ppm的浓度范围内,随着培养基中的Cu+浓度的提高,发根的生物量不断增加。培养基中QHS合成的最适Cu2+浓度为0.05ppm,大于或小于该浓度均显著地抑制发根中QHS的合成。 比较光培养和暗培养对发根生长的影响,结果表明光照明显地促进1601-L-l的生长,暗培养明显不利于发根的生长。最适合于发根生长的温度为25℃,大于35℃显著地抑制发根的生长,影响发根的根尖细胞的正常分裂。 改变培养基中的蔗糖浓度和在发根培养的不同时期给培养基中添加蔗糖,试验结果表明蔗糖作为碳源对1601-L-3和1601-L-1的生长具有显著的影响。 (1)培养基中缺少蔗糖显著地抑制发根的生长。 (2)发根培养的前5天时间内,蔗糖浓度为30- 60glL昀培养基最有利于发根的生长,50glL的培养基中的发根生长最快,培养基中的蔗糖浓度大于60g/L小于30g/L时,发根的生物量增加较少。 (3)发根培养至第15天时,蔗糖浓度为60g/L的培养基最有利予发根的生物量的增加。发根培养至30天时,蔗糖浓度为60-90g/L的培养基,发根的生物量的增加相差不大,但是为蔗糖浓度为30-40g/L的培养基中的发根生物量一倍。 (4)发根培养过程中,分别于第5和15天给蔗糖浓度为30g/L的培养基中添加一次或二次蔗糖,使培养基中的蔗糖终浓度相当于60g/L或90g/L,培养至30天时,添加蔗糖的培养基中的发根的干重生物量相当于不添加蔗糖培养基中的发根生物量一倍,相当于初始蔗糖浓度为60g/L和90g/L培养基中发根的生物量。 (5)随着培养基中蔗糖浓度的提高,发根干重/鲜重比显著增加。培养基中的蔗糖的消耗量与发根生物量的增加呈正相关,蔗糖消耗越多,发根生物量的增加越大。 比较pH值对发根生长和QHS合成的影响表明,灭菌前pH值在5.O-6.5范围内的培养基适合予1601-L-1的生长,小于5.O不利于发根的生长,pH5.8有利于1601-1-1生长和QHS的生物合成。发根收获时培养基中的pH值一般为4.5-5.2. pH7.O抑制发根的生长,pHl0.O对发根具有强烈的致死作用。发根在培养过程中,对培养基中的pH值具有显著的调节作用,发根能在很短的时间内(24- 48hrs)使pl:l值为5.8、6.4、7.0培养基降低到pH4. 5-5.2,pH为5.8的培养基有利于QHS合成。 比较不同基本培养基对发根生长和QHS合成的影响,试验结果表明N6、DCR、Litvay培养基有利于1601-L-1的生长,WS、White、B5培养基不利于发根的生长。DCR培养基中的QHS含量最高。 根据三水平试验选用三水平正交表来安排试验的原则,选用三水平正交表L7(3-),研究多因子效应对发根生长和QHS合成的影响,试验结果表明,Mg2+,Fe2+,Mn-2+,NH4NO3,KN03 ,KI,Ca-2+为发根生长的主要因子,NH4N03,KNOs,Mg2+,Ca2+,肌醇为QHS合成的主要因子。 通过TLC分析发根中QHS和其它化学成分,同时比较发根和无菌苗及野生植株的化学成分,发根和无菌苗均能合成包括QHS在内的野生青蒿叶片中的大部分非挥发性的化台 物。 研究青蒿植株在发育过程中QHS的含量的变化以及发根、无菌苗和野生青蒿中QHS的合成,HP分析结果表明,l、不同的单株青蒿之间的QHS量相差很大。2、同一植株幼 叶的QHS含量比老叶的QHS含量高。3、不同单株青蒿之间达到最高QHS含量的时间不一样,开花期或开花之前。4、无菌苗(带根)或者不带根丛生芽均能合成QHS,但是带根的无菌蕾的QHS量比丛生芽中的QIS的含量高。5、不同发根农杆菌转化的发根系1601-L-1和15834-L-1都能合成QHS。
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EXTRACT (SEE PDF FOR FULL ABSTRACT): Torrey pine (Pinus torreyana Parry ex Carr.) has one of the most limited geographical ranges and population size in the Pinus genus; it is present only on Santa Rosa Island and on the coast between San Diego and Del Mar, where our research was conducted. A 168-year chronology (1827-1994) was developed using 28 increment cores extracted from 15 living and 2 dead stranding trees at Torrey Pines State Reserve, San Diego, California. ... The spatial correlation with western North America winter and spring precipitation, as well as with published tree-ring chronologies, indicates a connection with the American Southwest. Global correlation maps with winter sea level pressure and sea surface temperature are consistent with the hypothesis that San Diego precipitation is affected by a southerly displaced North Pacific storm track and by warmer water farther south, both leading to higher transport of lower latitude moisture.
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Tese de doutoramento, Ciências Biomédicas (Fisiologia), Universidade de Lisboa, Faculdade de Medicina, 2014
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1925/07/10 (Numéro 15834).
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Tesis (Doctorado en Ciencias con Especialidad en Farmacología y Toxicología) UANL
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Crédito variable dirigido a educación secundaria obligatoria 12-16 años, en el cual se desarrollan los siguientes temas del área de ciencias experimentales: 1. movimientos rectilineos, 2. fuerzas y movimiento, 3. interacción gravitatoria y la gravitación universal, 4. efectos de la interacción gravitatoria en el equilibrio de los cuerpos y 5. los objetos celestes y su disposición en estructuras, trantando que el alumno conozca sus conceptos fundamentales. Se sugieren 30 actividades de aprendizaje.
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Anhydrous ethanol is used in chemical, pharmaceutical and fuel industries. However, current processes for obtaining it involve high cost, high energy demand and use of toxic and pollutant solvents. This problem occurs due to the formation of an azeotropic mixture of ethanol + water, which does not allow the complete separation by conventional methods such as simple distillation. As an alternative to currently used processes, this study proposes the use of ionic liquids as solvents in extractive distillation. These are organic salts which are liquids at low temperatures (under 373,15 K). They exhibit characteristics such as low volatility (almost zero/ low vapor ), thermal stability and low corrosiveness, which make them interesting for applications such as catalysts and as entrainers. In this work, experimental data for the vapor pressure of pure ethanol and water in the pressure range of 20 to 101 kPa were obtained as well as for vapor-liquid equilibrium (VLE) of the system ethanol + water at atmospheric pressure; and equilibrium data of ethanol + water + 2-HDEAA (2- hydroxydiethanolamine acetate) at strategic points in the diagram. The device used for these experiments was the Fischer ebulliometer, together with density measurements to determine phase compositions. The experimental data were consistent with literature data and presented thermodynamic consistency, thus the methodology was properly validated. The results were favorable, with the increase of ethanol concentration in the vapor phase, but the increase was not shown to be pronounced. The predictive model COSMO-SAC (COnductor-like Screening MOdels Segment Activity Coefficient) proposed by Lin & Sandler (2002) was studied for calculations to predict vapor-liquid equilibrium of systems ethanol + water + ionic liquids at atmospheric pressure. This is an alternative for predicting phase equilibrium, especially for substances of recent interest, such as ionic liquids. This is so because no experimental data nor any parameters of functional groups (as in the UNIFAC method) are needed