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Jovana Praskalo Mirjana Kostic Antje Potthast Gordana Popov Biljana Pejic Petar Skundric 《Carbohydrate polymers》2009,77(4):791-798
Cotton and lyocell fibers were oxidized with sodium hypochlorite and catalytic amount of sodium bromide and 2,2,6,6-tetramethylpiperidine-1-oxy radical (TEMPO), under various conditions. Water-insoluble fractions, collected after TEMPO-mediated oxidation, were analyzed and characterized in terms of weight loss, aldehyde and carboxyl contents, and sorption properties. Aldehyde and carboxyl groups were introduced into the oxidized cotton up to 0.321 and 0.795 mmol/g, and into the oxidized lyocell up to 0.634 and 0.7 mmol/g, respectively, where weight loss was generally lower than 12% for cotton and 27% for lyocell. Oxidized cotton and lyocell were shown to exhibit 1.55 and 2.28 times higher moisture sorption than the original fibers, respectively, and water retention values up to about 85% for cotton and 335% for lyocell, while iodine sorption values of oxidized fibers were lower up to 35% for cotton and up to 18% for lyocell than the original fibers. 相似文献
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云南含笑天然居群的表型多样性分析 总被引:3,自引:0,他引:3
为揭示云南含笑天然居群表型变异程度和变异规律,以云南昆明地区天然分布的云南含笑为研究对象,调查了6个居群180个单株的14个表型性状,采用巢式方差分析、变异系数、相关分析、Shannon-Weaver多样性指数分析和聚类分析等方法,分析了居群间和居群内表型多样性.结果表明:(1)云南含笑表型性状在居群间和居群内存在极其丰富的多样性,14个表型性状平均表型分化系数(24.38%)小于居群内变异(75.62%),居群内变异是表型变异的主要来源;14个表型性状的变异系数(CV)在16.20%~60.11%之间,表明云南含笑居群内表型性状离散程度较高.(2)对云南含笑各居群的Shannon-Weaver指数分析表明,云南含笑各居群具有丰富的多样性,总体表型多样性指数为1.772.(3)利用居群间欧氏距离进行的UPGMA聚类分析结果表明,云南含笑6个天然居群可以聚为3类,而且表型性状并没有严格依地理距离而聚类. 相似文献
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根据5a、15a、21a、32a、60a生的5个不同林龄的15块1 000m2样地(3次重复)调查资料,利用21株不同年龄和径阶的马尾松样木数据,建立以胸径(D)为单变量的生物量回归方程.采用样木回归分析法(乔木层)和样方收获法(灌木层、草本层、地上凋落物)获取不同林龄马尾松人工林的生物量,并分析了其组成、分配特征及不同林龄生物量的变化趋势.结果表明:(1)林分的总生物量随林龄而增加,5a、15a、21a、32a和60a生马尾松人工林生物量分别为15.03、125.93、183.51、191.53、405.31 Mg/hm2,其中活体植物占75.01%~94.19%,地上凋落物占0.86%~24.99%.(2)层次分配方面乔木层占绝对优势,占90.20%~98.35%,且随林龄的增加而增大,其次为地上凋落物,占0.86%~24.99%;草本层和灌木层生物量较小,分别占0.47%~34.85%和0.32%~27.00%,均随林龄的增加呈递减趋势.(3)乔木层器官分配以干所占比例最高,占49.93%~83.10%,且随林龄而增加;根相对比较稳定,占6.97%~12.82%;枝、叶分别占11.75%~14.83%、1.33%~23.65%,均随林龄增大而下降.灌木层器官分配除幼龄林为根>枝>叶,其余的均呈枝>根>叶的趋势.草本层中龄林和近熟林生物量地下>地上,其他林龄生物量地上>地下.(4)各林龄凋落物生物量在3.48~6.68Mg/hm2,规律性不强.(5)马尾松人工林乔木层各器官及林分生物量具有良好的优化增长模型,其32a生林分生物量高于同林龄的楠木人工林,低于热带雨林,是一种速生丰产、固碳潜力大的优良造林树种. 相似文献
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The effects of hemicelluloses and lignin removal on water uptake behavior of hemp fibers 总被引:1,自引:0,他引:1
This study investigated the individual influences of hemicelluloses and lignin removal on the water uptake behavior of hemp fibers. Hemp fibers with different content of either hemicelluloses or lignin were obtained by chemical treatment with 17.5% sodium hydroxide or 0.7% sodium chlorite. Various tests (capillary rise method, moisture sorption, water retention power) were applied to evaluate the change in water uptake of modified hemp fibers. The obtained results show that when the content of either hemicelluloses or lignin is reduced progressively by chemical treatment, the capillary properties of hemp fibers are improved, i.e. capillary rise height of modified fibers is increased up to 2.7 times in relation to unmodified fibers. Furthermore, hemicelluloses removal increases the moisture sorption and decreases the water retention values of hemp fibers, while lignin removal decreases the moisture sorption and increases the water retention ability of hemp fibers. 相似文献
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JZ Song KM Duan T Ware M Surette 《EURASIP Journal on Bioinformatics and Systems Biology》2007,2007(1):39382
A variety of high-throughput methods have made it possible to generate detailed temporal expression data for a single gene or large numbers of genes. Common methods for analysis of these large data sets can be problematic. One challenge is the comparison of temporal expression data obtained from different growth conditions where the patterns of expression may be shifted in time. We propose the use of wavelet analysis to transform the data obtained under different growth conditions to permit comparison of expression patterns from experiments that have time shifts or delays. We demonstrate this approach using detailed temporal data for a single bacterial gene obtained under 72 different growth conditions. This general strategy can be applied in the analysis of data sets of thousands of genes under different conditions.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29] 相似文献
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