Article(id=1242134413899801166, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242134390566887892, articleNumber=null, orderNo=12, doi=10.3981/j.issn.1000-7857.2016.2.006, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1436457600000, receivedDateStr=2015-07-10, revisedDate=1445788800000, revisedDateStr=2015-10-26, acceptedDate=null, acceptedDateStr=null, onlineDate=1454555982870, onlineDateStr=2016-02-04, pubDate=1453910400000, pubDateStr=2016-01-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1454555982870, onlineIssueDateStr=2016-02-04, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077522011, creator=sys-migrate, updateTime=1774077522011, updator=sys-migrate, issue=Issue{id=1242134390566887892, tenantId=1146029695717560320, journalId=1146031591421210625, year='2016', volume='34', issue='2', pageStart='1', pageEnd='332', issueExtLink='null', onlineDate='null', pubDate='1453910400000', pubDateStr='2016-01-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077516449, creator='sys-migrate', updateTime=1774077516449, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=46, endPage=52, ext={EN=ArticleExt(id=1242134418043773550, articleId=1242134413899801166, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Optimization of the extraction conditions of Elaeagnus mollis kernel oil by response surface methodology, columnId=1150494642224591153, journalTitle=Science & Technology Review, columnName=Exclusive, runingTitle=null, highlight=null, articleAbstract=In this paper, an experimental method of the central composite design is used to determine the kernel oil content in the Elaeagnus mollis preparation. Based on the Design Expert software, a quadratic model is established with independent variables of the kernel oil content, such as the extraction time, the extraction temperature and the material-liquid ratio. The response values satisfying all expectations are optimized, and the most excellent extraction conditions of the Elaeagnus mollis kernel oil are 45 min for the extraction time, 88℃, for the extraction temperature and 1:5 for the material-liquid ratio. Under these conditions, the actual extraction rate of the kernel oil is 92.44%. The result of the verification experiment for the formulation is consistent with the prediction. The fatty acids in the Elaeagnus mollis kernel oil are analyzed by GC-MS. The results show that 28 kinds of fatty acids and 9 kinds of unsaturated fatty acids are identified. They are mainly composed of 12.86% methyl oleic, 10% methyl palmitate, pentadecanoic, 9.78% acid methyl ester, and 16.57% linoleic acid methyl. This extraction method is an environmentally benign and advantageous scheme for the production of kernel oil from Elaeagnus mollis, which will be further transformed into the value-added biomaterials and bioethanol., authors=ZHU Yahong, WANG Junqi, SU Yinquan, HUANG Xiaohua, ZHU Mingqiang, authorsList=ZHU Yahong, WANG Junqi, SU Yinquan, HUANG Xiaohua, ZHU Mingqiang, authorCompany=College of Forestry, Northwest A&F University, Yangling 712100, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=p6JkwoRM/UMUPTnVxN4FWQ==, pdfFileSize=2471144, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242134417133609567, articleId=1242134413899801166, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=响应面法优化提取翅果油树种仁油的工艺条件, columnId=1242116902361830275, journalTitle=科技导报, columnName=专题论文, runingTitle=null, highlight=null, articleAbstract=为了优化翅果油树种仁油提取工艺,以单因素试验为依据,选取浸提时间、浸提温度和料液比3 因素为自变量,种仁油的提取率为响应面(response surface methodology),采用中心组合(Box-Benhnken)试验设计原理,探讨在各因素及其交互作用的影响下种仁油含量的变化。运用响应面分析法,模拟获得二次多项式回归方程的预测模型,确定翅果油树种仁油的最佳提取工艺条件为提取时间45 min,温度88℃,料液比为1:5。利用优化的提取条件,种仁油的萃取率达到92.44%,与预测值基本一致。采用气相色谱-质谱联用法(GC-MS)分析,鉴定出翅果油中含有脂肪酸28 种,不饱和脂肪酸有9 种,共占54.17%,其中油酸甲酯12.86%,棕榈酸甲酯10%,十五烷酸甲酯9.78%,亚油酸甲酯16.57%。本研究建立的提取方法简便、可靠,为翅果油树种仁油的产业化提取提供了一定理论参考。, authors=朱亚红, 王俊淇, 苏印泉, 黄晓华, 朱铭强, authorsList=朱亚红, 王俊淇, 苏印泉, 黄晓华, 朱铭强, authorCompany=西北农林科技大学林学院, 杨陵 712100, correspAuthors=null, authorNote=朱亚红,博士研究生,研究方向为植物资源化学,电子信箱:zhuyahong88@163.com, correspAuthorsNote=朱铭强,博士,研究方向为植物资源利用,电子信箱:zmqsx@nwsuaf.edu.cn, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, 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