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SDE

SDE的相关文献在1994年到2022年内共计108篇,主要集中在自动化技术、计算机技术、测绘学、轻工业、手工业 等领域,其中期刊论文93篇、会议论文5篇、专利文献10篇;相关期刊70种,包括城市建设理论研究(电子版)、测绘与空间地理信息、国土资源遥感等; 相关会议5种,包括2007年全国城市勘测新技术研讨交流会、第三届中国国际数字城市建设技术研讨会、第四届海峡两岸测绘发展研讨会等;SDE的相关文献由286位作者贡献,包括何聪聪、宋焕禄、崔继涛等。

SDE—发文量

期刊论文>

论文:93 占比:86.11%

会议论文>

论文:5 占比:4.63%

专利文献>

论文:10 占比:9.26%

总计:108篇

SDE—发文趋势图

SDE

-研究学者

  • 何聪聪
  • 宋焕禄
  • 崔继涛
  • 朱立强
  • 欧阳小迅
  • 汤志华
  • 董伟
  • 裘陆道
  • 诸益斌
  • 郑剑林
  • 期刊论文
  • 会议论文
  • 专利文献

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    • 康波; 段鑫锐; 张小龙; 付彩霞; 汪超; 徐宁
    • 摘要: 采用顶空固相微萃取(HS-SPME)和同时蒸馏萃取(SDE)两种方法提取6种不同地区调味料酒中的挥发性风味物质,并用气相色谱-质谱联用技术(GC-MS)对挥发性物质进行鉴定。研究结果表明,6种不同产地料酒样品采用SDE法和HS-SPME法共鉴定出挥发性物质233种,其中SDE法鉴定出挥发性物质153种,HS-SPME法鉴定出113种不同挥发性成分。HT、ZL、DF、LHH、QH和WZH样品分别鉴定出86,62,66,100,84,71种挥发性物质。醇类、酯类、酸类、烃类、酮类、酚类和醚类化合物构成了调味料酒风味的主体。其中主要的挥发性风味物质包括芳樟醇、α-松油醇、苯乙醇、乳酸乙酯、棕榈酸乙酯、棕榈酸、辛酸、β-石竹烯、α-姜黄烯、水芹烯、苯乙醛、糠醛、2-乙基-3,6-二甲基吡嗪、香芹酮、2-正丁基呋喃、丁香酚和茴香脑等。分析发现两种萃取方法的结果具有一定差异,6种不同地区的调味料酒的风味也存在差异。
    • 杨艳; 李晨昕; 熊光艳; 贺银菊; 周健
    • 摘要: 为研究独山虾酸中的风味物质,使用乙醚和二氯甲烷两种不同的溶剂分别对独山虾酸萃取,采用同时蒸馏(SDE)气相色谱和质谱联用技术(GC/MS)分离鉴定后进行分析,结果显示由二者萃取出的化合物成分十分丰富,但二者萃取的化合物不尽相同.其中,酯类、酸类、醇类、醛类类及杂环化合物等可能对独山虾酸独特的风味特征起重要作用.
    • 曹铁朋
    • 摘要: 近年来,房地产行业已成为国民经济的支柱行业,房地产监管、房价调控、房产税、反腐等都迫切要求建立全国统一的不动产登记信息管理平台.由国务院颁布并于2015年3月1日正式实施的《不动产登记暂行条例》规定,国务院国土资源主管部门应当会同有关部门建立统一的不动产登记信息管理基础平台[1].各级不动产登记机构的登记信息应当纳入统一的不动产登记信息管理基础平台,确保国家、省、市、县登记信息的实时共享.不动产登记信息管理平台覆盖全国,对于全面履行不动产统一登记职责,促进不动产登记信息完备、准确、可靠,保障不动产交易安全,更加有效地服务社会具有重要意义.%In recent years the real estate industry has become the pillar industry of national economy, no doubt, the real estate supervi-sion, price regulation and control, the property tax, anti-corruption is pressing for the establishment of the national unified real estate registration information management platform. Promulgated by the State Council and in March 1, 2015 formally implemented the"real estate registration is temporary byelaw" regulation, the land and resources competent department of the State Council, in conjunction with the relevant departments to establish a unified real estate registration information management platform. Real estate registration or-gan of registration information at various levels shall be incorporated into a unified real estate registration information management plat-form, to ensure that national, provincial, city and county register the real-time sharing of information. Real estate registration informa-tion management platform, covering the whole country for a comprehensive and unified registration duties, promote the real estate reg-istration information is complete, accurate and reliable, ensure the security of real estate transactions, more effectively serve the socie-ty, is of great significance.
    • 刘昭华; 张春艳
    • 摘要: 近年来随着城市化进程的不断加深,城市扩张问题日益突出,土地资源浪费及生态环境污染问题也随之而来.采用支持向量机监督分类方法和人机交互解译方式对开封市土地利用进行分类,提取城市建成区范围,采用扩张速度指数(expansion speed index,ESI)、扩张强度指数(expansion intensity index,EII)、平均中心(mean centre,MC)和标准差椭圆(standard deviational ellipse,SDE)等指标分析开封市1990—2015年25 a间的城市建设用地扩张及其空间分布,并基于社会统计数据对城市扩张驱动因子进行分析.结果表明,开封市区建设用地呈扩张趋势,由1990年的38.08 km2增加到2015年的125.86 km2,扩张速度达3.51 km2/a;MC和SDE分析得出,25 a间开封市城市平均中心位置变化不大,整体向西北方向移动;1990—2009年建成区空间扩张呈均衡化;2009—2015年建成区持续西扩,空间分布存在明显方向性;利用SPSS软件对社会统计数据进行分析得出,城市人口数量及经济发展等是开封市城市扩张的主要驱动力.
    • 贺群; 黄旦益; 卢翠; 齐冬晴; 田双红; 林娟; 周跃斌; 沈程文
    • 摘要: The aroma components in fresh leaves and its relative content in 31 teavarieties suitable forgreen and for both black tea and green tea were analyzed by simultaneous distillation extraction (SDE) andgas chromatography-mass spectrometry (GC-MS) to measure volatile aroma component and its content difference.The results of GC-MS analysis showed that 8 classes and 148 kinds aroma components were detected in 31 samples.From the principal component analysis,aldehydes and fatty acids were the main types of aroma components.The data showed that aroma components of suitable varieties for black and green tea were complex,in which its relative content of palmitic acid and geraniol were high.However,alpha-methyl-alpha-[4-methyl-3-pentenyl] oxiranemethanol and hexanal content were higher in suitable varieties for green tea.Besides,suitable varieties for black and green tea had another 9 kinds of aroma component,and suitable varieties for green tea had another 4 kinds of aroma.Accordingly,these special compositions contributing greatly to the characteristic aroma were same in the tea varieties suitable for green tea and both for green and black tea.This experiment explained the basic aroma components and the feature of its content,as well as the differences of aromatic substances in suitable varieties for green tea and both for green and black tea.The study could provide theory for a selection and breeding in high flavor suitable varieties for green and for both green and black tea.%以31个适制绿茶品种和红绿茶兼宜品种为研究对象,采用同时蒸馏萃取(SDE)技术并结合气相色谱-质谱联用技术(GC-MS)测定茶鲜叶固样挥发性香气组分及其相对含量.结果表明:31个样品中共检测出8类148种香气组分.由主成分分析可知,醛类、脂肪酸类为其主要香气组分类别.红绿茶兼宜品种的挥发性香气组分组成复杂,棕榈酸和香叶醇相对含量较高;适制绿茶品种中α-甲基-α-[4-甲基-3戊烯基]环氧乙烷甲醇和己醛相对含量较高.此外,适制绿茶和红茶另含共有香气组分4种和9种.这些芳香物质对同茶类适制性品种的特征香气贡献较大.该研究结果可为高香型适制绿茶品种和红绿茶兼宜品种的选育提供理论依据.
    • 付钦宝; 蔡为荣; 谢亮亮; 潘汇; 曹雪; 曾恒
    • 摘要: The volatile flavor components of lotus leaves were extracted by solid phase microextraction (SPME),simultaneous distillation extraction (SDE),which was analyzed by gas chromatography-mass spectrometry (GC-MS).Solid phase microextraction (SPME) of three extraction heads (CAR/PDMS,DVB/CAR/PDMS,PDMS/DVB) and simultaneous distillation extraction(SDE) were used to compare qualitative results.The results showed that there were 97 kinds of volatile components identified by SDE and the percent of total peak area was 94.86% and the major compound was alkane,there were 29 kinds of volatile components identified by SPME(CAR/PDMS) and the percent of total peak area was 89.26% and the major compound was ketone,there were 62 kinds of volatile components identified by SPME (DVB/CAR/PDMS)and the percent of total peak area was 85.97% and the major compound was aldehyde,there were 59 kinds of volatile components identified by SPME (PDMS/DVB) and the percent of total peak area was 86.96% and the major compound was aldehyde.This showed that the most kind of Volatile components can be obtained by SDE,followed by SPME (DVB/CAR/PDMS)、SPME (PDMS/DVB)、SPME (CAR/PDMS).%分别采用同时蒸馏萃取(SDE)法和固相微萃取(SPME)法并结合气相色谱-质谱联用(GC-MS)技术分析荷叶的挥发性风味成分.SPME法选用3种萃取头(CAR/PDMS、DVB/CAR/PDMS、PDMS/DVB)与SDE法对定性结果进行比较分析.结果表明,SDE法所鉴定出的挥发性成分有97种,相对含量为94.86%,且以烃类物质为主;SPME(CAR/PDMS)法所鉴定出的挥发性成分有29种,相对含量为89.26%,以醇类为主;SPME(DVB/CAR/PDMS)法所鉴定出的挥发性成分有62种,相对含量为85.97%,以醛类为主;SPME(PDMS/DVB)法所鉴定出的挥发性成分有59种,相对含量为86.96%,以醛类为主.由此可见,在荷叶挥发性成分分析中,四种方法萃取到的挥发性成份种类数从多到少依次是,SDE、SPME (DVB/CAR/PDMS)、SPME(PDMS/DVB)、SPME(CAR/PDMS).
    • 杜巍
    • 摘要: 合理与协调的地区产业结构是地区经济增长的重要保证,而要调节产业结构必须先要了解产业空间分布及演变特点,顺势而为.基于此,本文采用2005—2014各产业数据,运用标准差椭圆方法,对京津冀城市群内各产业的空间分布、变化轨迹进行研究,发现京津冀城市群产业空间总体离散趋势大于集中趋势,高端产业集中,低端产业分散,产业分布的方向性在减弱.
    • Hakan Koyuncu; Baki Koyuncu
    • 摘要: RFID technology is one of the important technologies to determine the object locations. Distances are calculated with respect to calibration curves of RSSI amplitudes. The aim of this study is to determine the 2D position of mobile objects in the indoor environment. The importance of the work is to show that localization by using Artificial Neural Network plus Kalman Filtering is more accurate than using classical KNN method. An indoor wireless sensing network is established with strategically stationed RFID transmitter nodes and a mobile object with a RFID receiver node. A fingerprint map is generated and K-Nearest Neighbourhood algorithm (KNN) is deployed to calculate the object locations. Fingerprint coordinates and RSS values received at these coordinates are deployed to set up an Artificial Neural Network (ANN). This network is used to determine the unknown object locations by using RSS values received at these locations. The accuracy of object localization is found to be better with ANN technique than KNN technique. Object coordinates, determined with ANN technique, are subjected to Kalman filtering. The results show that localization accuracies are improved and localization error distances are reduced by 46% with the deployment of ANN + Kalman Filtering.
    • 刘敬科; 赵巍; 张爱霞; 刘莹莹; 李少辉; 张玉宗
    • 摘要: ABSTRACT:Volatile compounds of millet bran and its dietary fiber were extracted by simultaneous distillation extraction (SDE) and gas chromatography‐mass spectrometry (GC‐MS) .The results showed that a total of 77 compounds were identified ,inclu‐ding 24 aldehydes ,11 acids ,9 alcohols ,6 ketones ,11 benzene derivatives ,12 hydrocarbons ,and 4 others .There were obvi‐ous difference in volatile compounds of millet bran and its dietary fiber ,only 24 same compounds were detected .Hexanal ,non‐anal ,(E ,E)‐2 ,4‐decadienal ,(Z)‐9 ,17‐octadecadienal and hexadecanoic acid were dominant volatile compounds in millet bran . 3‐furaldehyde ,hexadecanoic acid ,(Z ,Z)‐9 ,12‐octadecadienoic acid and 1‐methyl‐naphthalene were dominant volatile com‐pounds in dietary fiber from millet bran .Preparation of dietary fiber of millet bran by acid base extraction and ultrafine grinding could lead to a marked loss of acids ,hydrocarbons and aldehydes ,and a increase of benzene derivatives .%采用同时蒸馏萃取(SDE)结合气相色谱‐质谱联用技术(GC‐MS)分析小米糠及其膳食纤维中挥发性成分,共检测到了77种挥发性成分,包含有24种醛、11种酸、9种醇、6种酮、11种含苯衍生物、12种碳氢化合物和4种其他物质。小米糠及其膳食纤维中的挥发性成分有24种成分相同,差别较大。己醛、壬醛、(E ,E )‐2,4‐癸二烯醛、(Z )‐9,17‐十八碳二烯醛、十六酸为小米糠主要挥发性成分,3‐糠醛、十六酸、(Z ,Z )‐9,12‐十八二烯酸和1‐甲基萘为小米糠膳食纤维主要挥发性成分,小米糠膳食纤维采用酸碱提取和超微粉碎制备会导致酸、碳氢、醛等成分大量减少,会增加含苯衍生物等成分含量。
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