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1.
多年来作者研究工业性精液的冷却结晶过程。用这种技术所得的晶体与在比较高温条件用传统的蒸发技术获得的结晶比较其色值和灰分含量较低。第一个冷却结晶试验是用传统的粗糖浆进行,然后是直接从浓缩粗汁制取白糖。后面这种情况没有经过清净工序在生态、经济、工艺技术和设备安装使用工程方面的相关优点都实现了。作者也建议在甘蔗糖精炼过程中也取消传统的清净工序。这将使生产过程简化,因为它仅包括复筛、回溶、活性炭脱色和结晶。现在把在实验室规模试验取得结果报导出来,同时讨论将此技术应用于工业规模的目标。  相似文献   

2.
蔗糖作为重要的食用糖和再生能源,在世界糖产业链中占有举足轻重的地位。文章旨在通过设计一个准确、高效的模型来监测甘蔗生长状况,进而有效指导科学培育,这是提高甘蔗产量的重要途径。利用深度学习方法构建甘蔗生长监测模型,以解决传统监测方式存在的问题。通过调研了解蔗糖的重要性及传统的甘蔗生长监测方法,详细分析深度学习在计算机视觉等领域的应用,提出基于卷积神经网络(CNN)的甘蔗生长监测模型架构;设计基于CNN的图像分类模型监测甘蔗生长,并通过试验对比验证模型的有效性。最后总结基于CNN的深度学习模型监测甘蔗生长的有效性,并探讨如何进一步提高甘蔗生长监测的准确性。  相似文献   

3.
植物蔗糖转运蛋白研究进展   总被引:1,自引:0,他引:1  
蔗糖转运蛋白(SUT)在植物的生长代谢中调控蔗糖的运输和分配,并通过蔗糖信号影响其它代谢途径。植物蔗糖转运蛋白结构较为保守,属于12次跨膜的膜蛋白基因家族。对已完成基因组测序的10个单子叶和8个双子叶植物的蔗糖转运蛋白聚类分析表明,该基因家族可以分为5个亚族,SUT1、SUT2、SUT3、SUT4、SUT5,其中SUT2和SUT4为单、双子叶所共有的基因,SUT1为双子叶特异,而SUT3、SUT5为单子叶特异。单、双子叶蔗糖转运蛋白是由2个祖先基因进化而来。SUT的组织分布和遗传转化研究表明,SUT参与植物蔗糖运输与贮存、非生物胁迫响应、胚乳发育等,且SUT家族成员之间存在功能差异。SUT2的表达受Sn RKs调控,而SUT4表达则调控部分生物钟相关基因,同时筛部移动信号等也调节SUT的表达。本文综述了植物蔗糖转运蛋白基因分类、生理功能及其在不同水平上的调控等方面的研究进展,为更好的理解蔗糖转运蛋白对植物生长发育的影响及其分子机制提供参考。  相似文献   

4.
采用文献计量学的方法.对我国近10年来在期刊上发表的有关蔗糖的文献进行统计分析,着重研究有关蔗糖文献的年限分布、作者分布及研究方向等方面的内容,从而揭示我国蔗糖的研究现状,为我国今后对蔗糖的研究及学术信息交流提供参考依据.  相似文献   

5.
密度对饲用玉米蔗糖合成和积累的影响   总被引:1,自引:0,他引:1  
以4个饲用玉米品种为材料,研究玉米生长发育过程中密度对蔗糖合成和积累的影响,探讨蔗糖合成酶(SS)、磷酸蔗糖合成酶(SPS)与蔗糖间的相关性,明确蔗糖合成机理。研究结果表明,拔节期至成熟期蔗糖含量随密度的增加而降低,孕穗期至灌浆期SS活性随密度的增大而减小,SPS活性在孕穗期至灌浆期随密度的增大而减小;子粒蔗糖含量因密度和品种而异,SS活性随着密度的增大而减小,子粒SPS活性在整个灌浆过程呈逐渐降低趋势,在吐丝42 d以前酶活性均随密度的增加而降低;功能叶片SPS活性、SS活性与蔗糖含量间在孕穗期至成熟期呈极显著正相关,子粒SPS活性与蔗糖含量在吐丝7~42 d呈极显著正相关,子粒SS活性与蔗糖含量在吐丝后(除吐丝42 d呈显著正相关外)呈极显著正相关。  相似文献   

6.
试验以“米拉”脱毒苗为基础材料,研究了在不同光照和蔗糖浓度条件下,不同浓度BA以及不同时间加入BA对试管块茎形成与生长的影响,试验结果表明,BA与光照条件,蔗糖浓度之间在影响块茎形成和生长过程中不存在显著的互作关系,但三者均为块茎形成和膨大的必要条件,短日照有利于匍匐茎的发生,BA有利于匍匐茎顶端的膨大,蔗糖浓度与块茎大小和数量有密切关系。本文涉及的试验中,每天光照8小时,蔗糖浓度为8%,使用2p  相似文献   

7.
广西地处热带、亚热带,具有丰富的、很适宜甘蔗生长的生态因子,发展蔗糖业得天独厚。从宋代开始广西就发展为我国蔗糖生产的重要基地之一,但是一直未能成为广西的支柱产业,只有在新中国建立以后,蔗糖业在广西才有了长足的发展,逐渐发展成广西经济的重要支柱之一。  相似文献   

8.
菠萝果实发育过程中糖积累与其代谢酶的关系   总被引:5,自引:1,他引:4  
以菠萝[Ananas comosus(L.)Merr.]"巴厘"和"台农11号"两个品种为试验材料,测定不同发育时期果实中蔗糖、葡萄糖和果糖含量以及蔗糖代谢相关酶--酸性转化酶(AI)、中性转化酶(NI)、蔗糖合成酶(SS)和蔗糖磷酸合成酶(SPS)的活性,并对果实中糖积累与酶活性的关系进行分析.结果表明:2个品种果实中糖积累动态十分相似,即果实发育前期,糖积累缓慢;进入成熟期,蔗糖迅速积累,而己糖"巴厘"果实中前期变化较少,后期稍有积累,"台农11号"果实中前期稍有积累,后期基本不变.2个品种果实中蔗糖含量与SS和SPS活性相关系数分别达到正的显著或极显著水平,NI活性与2个品种果实中蔗糖含量呈极显著负相关,蔗糖含量与AJ的活性相关性品种间差异明显.  相似文献   

9.
灌浆结实期高温对水稻籽粒蔗糖及降解酶活性的影响   总被引:8,自引:0,他引:8  
选用水稻品种越光和笹锦为材料,在开花后设置自然温度和高温两种处理,研究了不同温度处理下籽粒蔗糖、果糖和葡萄糖含量的动态变化以及蔗糖合酶、液泡型转化酶和细胞壁结合型转化酶活性的差异。高温处理下,蔗糖合酶活性值大于转化酶活性值,且与淀粉积累速率呈显著正相关,表明蔗糖合酶在蔗糖的分解和淀粉的合成过程中起着重要作用;高温下两品种籽粒的蔗糖含量明显增加,但分解的葡萄糖和果糖含量并未相应增加,表明高温有利于籽粒中蔗糖的积累,而不利于籽粒中蔗糖的分解。高温下蔗糖合酶、液泡型转化酶和细胞壁结合型转化酶活性明显下降,表明蔗糖分解速率的下降与蔗糖合酶和转化酶活性下降有关。  相似文献   

10.
本试验以高淀粉品种晋薯2号、中淀粉品种内薯3号、低淀粉品种紫花白为材料,对不同生育时期块茎淀粉含量、淀粉积累速度与淀粉磷酸化酶、蔗糖转化酶活性的关系进行了研究,其结果表明:全生育期3个品种淀粉磷酸化酶活性均呈单峰曲线变化;不同生育时期,各品种淀粉含量与淀粉磷酸化酶活性无明显规律性;不同生育时期,各品种淀粉积累速度与淀粉磷酸化酶活性呈正相关。淀粉含量和温度是影响淀粉磷酸化酶活性的两个重要因素,而温度又起主导作用。全生育期,3个品种的蔗糖转化酶均呈苗期为最高,中期显著下降,后期略有回升的变化趋势;不同生育时期,各品种淀粉含量与蔗糖转化酶活性均呈显著负相关;不同生育时期,各品种淀粉积累速度与蔗糖转化酶活性亦呈负相关。因此,蔗糖转化酶活性可作为马铃薯高淀粉育种早期选择的重要生理指标。  相似文献   

11.
12.
Groundwater–stream water exchange and mixing in a hyporheic zone were examined using the water chemistry data and multivariate statistical analyses. The study area was the Munsan stream of agricultural area in Paju, Korea. Three rounds of water samplings (August, September, and November, 2008) were conducted for five monitoring nests along the stream flow, with each having three different-depth piezometers in the streambed, one surrounding groundwater well and one stream water point. The chemical compositions of hyporheic water were controlled by those of the groundwater and stream water. The factor analysis identified four main factors that explain 67 % of total variance of the water chemistry data and also revealed that the parameters responsible for water quality variances were mainly related to rainfall, anthropogenic activities, and dissolution of carbonate minerals. The cluster analysis produced a few different groups in August (3 groups), September (4 groups), and November (4 groups), respectively, which showed that the water quality parameters of the three water bodies were very different and the hyporheic water showed a different mixing of the stream water and groundwater at each monitoring point.  相似文献   

13.
For a highly exothermic reaction, heat capacity is a critical determinant of temperature profile which impacts temperature-dependent variables such as reaction rate constants, heat of reaction, viscosity, and diffusivity. In the case of polymer-forming reactions: literally hundreds of oligomers can be present at any time, heat capacities are typically not available for most of these oligomeric monomers. The group contribution method emerges as one of the few viable approaches to make an estimate of heat capacities being a salient intermediate step toward the objective of simulating polyurethane reaction process. Based on compiled literature and supplemental DSC data, Missernard’s group contribution model was revised with alternative values to those suggested by literature and accessorial parameters for the following functional groups: a) isocyanate, b) six carbon sugar ring, c) aromatic benzene ring, and d) double-bonded oxygen of an ester to estimate heat capacities from 25 °C to 120 °C for alcohols and isocyanate present in the urethane-forming reactions. Modeling performance showed a good agreement with an overall 1.59 per cent deviation. It was also observed that the alcohol heat capacity generally decreased with the rise of molecular weight.  相似文献   

14.
These days consumers’ various demands are accelerating research on apparel manufacturing system including automatic measurement, pattern generation, and clothing simulation. Accordingly, methods of reconstructing human body from point-clouds measured using a three dimensional scanning device are required for apparel CAD system to support these functions. In particular, we present in this study a human body reconstruction method focused on two issues, which are the decision of the number of control point for each sectional curve with error bound and the local knot removal for reducing the unusual concentration of control points. The approximation of sectional curves with error bounds as an approximation criterion leads all sectional curves to their own particular shapes apart from the number of control points. In addition, the application of the local knot removal to construction of human body sectional curves reduces the unusual concentration of control points effectively. The results may be used to produce an apparel CAD system as an automatic pattern generation system and a clothing simulation system through the low level control of NUBS or NURBS.  相似文献   

15.
This is the first time in the literature dealing with the dynamic modeling and control of a rotating padder roller system. It is intended to design a control system with effective scheme and robustness to stabilize all vibration modes of a rotating padder roller system by using one set of sensor and actuator. The controller design depends on the specific pole-zero patterns. In practice, the pole-zero patterns remain the same, no matter how the physical system parameters are different. By properly placing the actuator and sensor, a realizable controller and sensor is designed to stabilize all the vibration modes and make the closed loop system absolutely stable. This will suppress the vibration without suffering from spillover and can eliminate an infinite number of vibration modes. The performance of this controller has been successfully implemented by computer simulation.  相似文献   

16.
The possibility of prediction of bending rigidity of cotton woven fabrics with the application of Neuro-genetic model has been explored. For this purpose, number of cotton grey fabrics meant for apparel end-use was desized, scoured, and relaxed. The fabrics were then conditioned and tested for bending properties. A feed-forward neural network model was first formed and trained with adaptive learning rate back-propagation with momentum. In the second model, a hybrid learning strategy was adopted. A genetic algorithm was first used as a learning algorithm to optimize the number of neurons and connection weights of the neural network. Later, a back-propagation was applied as a local search algorithm to achieve global optima. Results of hybrid neural network model were compared with that of back-propagation neural network model in terms of their prediction performance. Results show that the prediction by Neuro-genetic model is better in comparison with that of back-propagation neural model.  相似文献   

17.
In this work, starch pasting curves were reinterpreted with suitable models to show deficiency of widely used starch pasting parameters in the literature. The aim was to attract scientific attentions to the behavior and dynamics of the curve with respect to process parameters instead of values on the curve. Mainly, pasting curve was separated into four parts combining sigmoidal gelatinization model, exponential thinning model and Arrhenius temperature model. For the gelatinization part, starch swelling rate, water binding capacity and starch resistivities to heat and shear might be compared by the proposed model parameters. Amylose and damaged starch contents of starches had a good relation with Arrhenius and exponential model parameters. Activation energy values gave clues about retrogradation rate of starches and changed between 7142 and 17,327 kJ/mol.  相似文献   

18.
An adaptive modeling method has been developed to improve the accuracy of an FDM type 3-D printer especially when printing complex small objects. The thermal and flow properties of PLA, ABS, and HIPS were measured using various types of rheological analysis. The relationship between those results and dimensional errors were analyzed. From this relationship, calibration factors were calculated for correcting the error between virtual and actual models. Image processing software has been developed to measure the dimension of printed samples. A model generation software has been developed to generate calibrated models using adaptive modeling method. The efficiency of system was verified through statistical analysis on the difference between the models with and without calibration.  相似文献   

19.
Quantitative adsorption kinetic and equilibrium parameters for indigo carmine dyeing of silk were studied using UV-visible absorption spectroscopy. The effect of initial dye concentration, contact time, pH, material to liquor ratio (MLR), and temperature were determined to find the optimal conditions for adsorption. The mechanism of adsorption of indigo carmine dyeing onto silk was investigated using the pseudo first-order and pseudo second-order kinetic models. The adsorption kinetics was found to follow a pseudo-second-order kinetic model with an activation energy (E a) of 51.06 kJ/mol. The equilibrium adsorption data of indigo carmine dye on silk were analyzed by the Langmuir and Freundlich models. The results indicate that the Langmuir model provides the best correlation. Adsorption isotherms were also used to obtain thermodynamic parameters such as free energy (ΔG o), enthalpy (ΔH o), and entropy (ΔS o) of adsorption. The negative values of ΔG o and ΔH o indicate the overall adsorption process is a spontaneous and exothermic one.  相似文献   

20.
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