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本文以9 个芍药野生种(15 份种质)、104 个品种及2 个牡丹芍药组间杂种的花瓣为材料,利用液质联用技术鉴定了花瓣中的色素成分并探讨了芍药花色形成的化学机制和化学分类法。 结果表明,芍药花中主要含有5 种花青素,即芍药花素-3,5-二葡糖苷( peonidin-3,5-di-O-glucoside , Pn3G5G ); 矢车菊素-3 , 5- 二葡糖苷( cyanidin-3,5-di-O-glucoside , Cy3G5G ); 天竺葵素-3 , 5- 二葡糖苷( pelargonidin-3,5-di-O-glucoside , Pg3G5G ); 芍药花素-3- 葡糖苷(peonidin-3-O-glucoside,Pn3G)和矢车菊素-3-葡糖苷(cyanidin-3-O-glucoside,Cy3G)。此外,3 种微量的花青素首次在芍药中发现:它们分别为芍药花素-3-葡萄糖-5-阿拉伯糖苷(peonidin-3-O-glucoside-5-O-arabinoside,Pn3G5Ara)、矢车菊素-3- 葡萄糖-5- 半乳糖苷( cyanidin-3-O-glucoside-5-O-galactoside ,Cy3G5Gal)和天竺葵素-3-葡萄糖-5-半乳糖苷(pelargonidin-3-O-glucoside-5-Ogalactoside,Pg3G5Gal)。特征花青素Cy3G5Gal 和Pg3G5Gal 仅在新疆芍药(Paeonia anomala L.)及其亚种川赤芍(P. anomala subsp. veitchii(Lynch) D. Y.Hong & K. Y. Pan)中被检测出来,表明它们属于同一个种。Pn3G5Ara 仅存在于欧洲的野生芍药花瓣中,表明中国野生芍药和欧洲芍药的花青素代谢途径不同。 芍药花瓣中主要含有11 种花黄素,均为黄酮醇类物质。包括栎精-3,7 二葡糖苷( quercetin-3,7-di-O-glucoside )、山奈酚-3 , 7 二葡糖苷(kaempferol-3,7-di-O-glucoside)、异鼠李素-3,7 二葡糖苷(isorhamnetin-3,7-di-Oglucoside)、栎精-3-O-(6”-没食子酰基)-葡糖苷 [quercetin-3-O-(6”-O-galloyl)-glucoside] 、栎精-3- 葡糖苷( quercetin-3-O-glucoside )、山奈酚-7- 葡糖苷( kaempferol-7-O-glucoside )、山奈酚-3-O- ( 6”- 没食子酰基) - 葡糖苷[kaempferol-3-O-(6”-O-galloyl)-glucoside]、异鼠李素-3-O-(6”-没食子酰基)-葡糖苷 [isorhamnetin-3-O- ( 6”-O-galloyl ) -glucoside] 、山奈酚-3- 葡糖苷(kaempferol-3-O-glucoside)、异鼠李素-3-葡糖苷(isorhamnetin-3-O-glucoside)和山奈酚-丙二酰葡糖苷(kaempferol-malonyl-glucoside)。此外,查耳酮在黄色的栽培品种‘黄金轮’和牡丹芍药组间杂交种‘伊藤杂种’中首次被检测到。其化学结构为查耳酮-2’-葡糖苷(chalcononaringenin 2’-O-glucoside),它是花瓣表现出黄色的主要色素,它与黄色牡丹野生种‘滇牡丹’(P. delavayi Franchet)花瓣中主要黄色色素成分一致。 通过对所有芍药野生种和栽培品种的色素分析,研究发现花青素是芍药花瓣中主要的色素,其中Pn3G5G 是花瓣中含量最高的花青素苷,其次为Cy3G5G。3G 型糖苷仅在少数品种中检测出来。此外,黄酮醇是芍药花瓣中重要的辅助色素。山奈酚苷是花瓣中含量最高的黄酮醇类,其次是栎精。 多元线性回归分析的结果表明,芍药花色的形成主要与花瓣中Pn3G5G、Cy3G5G 和Pg3G5G 的含量及总花青素量(TA)有关。根据8 种花青素结构与花色组成,将国内的野生种和大部分品种进行了化学分类:所有样本聚成3 大类,聚类后的树状图与其花色、花色素组成数据相一致,直观反映了野生种和栽培品种花色形成的化学背景和表型相似性程度。 芍药成色机理和化学分类的初步研究,对芍药新花色育种具有重要意义:芍药鲜红色花的育种中,育种亲本应具有高的Cy3G 含量、低的辅助色素效应指数。选育深紫色花或紫黑色花的品种,亲本应具有高的Pn3G5G 含量和低的Pg3G5G 含量。

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The feasibility of using AlGaInAs lasers for high-speed modulation at high temperatures was evaluated and compared with performance of GaInAsP devices. Both drift-diffusion and rate equation simulation were involved so that the temperature dependence of material parameters was found in terms of overall dynamic performance. Differential gain was estimated by means of drift-diffusion simulations.

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A technique to measure wall flow variation in Diesel Particle Filters (DPFs) is described. In a recent paper, it was shown how the flow distribution in DPFs could be measured in a non-destructive manner. This involved measuring the progressive dilution of a tracer gas introduced at the "outlet" channel upstream end. In the present paper, a significant further improvement to this technique is described, in which only a single probe is required, rather than the two of the previous technique. The single, traversable, probe consists of a controllable flow sink, and slightly downstream, a tracer gas supply. By controlling the sink flow rate such that a very small concentration of tracer gas is aspirated into it, the total flow up to that location in the channel is determined. Typical results showing the axial variation in the wall flow for known wall blockage cases are presented. It is suggested that this technique could be used to interpret the soot loading in the filter channels in a non-intrusive way.