Article(id=1242139725125984505, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242139719522394335, articleNumber=null, orderNo=6, doi=10.3981/j.issn.1000-7857.2022.04.004, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1583164800000, receivedDateStr=2020-03-03, revisedDate=1594742400000, revisedDateStr=2020-07-15, acceptedDate=null, acceptedDateStr=null, onlineDate=1648385599210, onlineDateStr=2022-03-27, pubDate=1645977600000, pubDateStr=2022-02-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1648385599210, onlineIssueDateStr=2022-03-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774078788306, creator=sys-migrate, updateTime=1774078788306, updator=sys-migrate, issue=Issue{id=1242139719522394335, tenantId=1146029695717560320, journalId=1146031591421210625, year='2022', volume='40', issue='4', pageStart='1', pageEnd='128', issueExtLink='null', onlineDate='null', pubDate='1645977600000', pubDateStr='2022-02-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774078786970, creator='sys-migrate', updateTime=1774078786970, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=35, endPage=41, ext={EN=ArticleExt(id=1242139727239913752, articleId=1242139725125984505, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Advances and perspectives on accurate identification technology for key odour substances in odor pollution, columnId=1242139727143444757, journalTitle=Science & Technology Review, columnName=Exclusive: Precise pollution control and green development, runingTitle=null, highlight=null, articleAbstract=The key odorant provides a vital indicator for the odor detection, evaluation and control. This paper reviews the key odorant identification methods around the world, including their weakness, and gives a proposal. It is shown that the Odor Activity Value(OAV), the common method, suffers a large deviation, because its application is limited by the two dimensions of the substance concentration and the olfactory threshold. In addition, the odor activity value method is based on the fact that there is no interaction between various substances, without considering the synergy or the antagonism between the substances. The gas chromatography olfactometry (GC-O) is a more advanced technology, which can realize the simultaneous analysis of the chemical concentration and the sensory evaluation. However, the sample analysis for this method takes a long time and requires the olfactory discriminator at a high level, so a rapid screening is not possible. In conclusion, there are several aspects to be considered in the future:establishing a systematic method to enhance the ability to identify the odorant; improving the odor threshold database to complete the odor thresholds and inconsistent values; studying the odor mechanism and the interaction between odorous substances to provide a theoretical research basis; developing multiple methods to advance the detectability., authors=ZHAI Zengxiu^1,2,3, WANG Gen^1,2, LI Weifang^1,2, MENG Jie^1,2,3, LU Fulei^1,2,3, authorsList=ZHAI Zengxiu, WANG Gen, LI Weifang, MENG Jie, LU Fulei, authorCompany=1. Tianjin Academy of Ecological and Environmental Sciences, Tianjin, Tianjin 300191, China;
2. State Environmental Protection Key Laboratory of Odor Pullution Control, Tianjin 300191, China;
3. Tianjin Sinodor Environmental Science and Technology Development Co., Ltd., Tianjin 300191, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=GBhTRXgLQ7MGBNSdtva/WQ==, pdfFileSize=657343, 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=1242139726250057984, articleId=1242139725125984505, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=异味污染关键致臭物质精准识别研究进展, columnId=1242139726166171902, journalTitle=科技导报, columnName=专题：精准控污与绿色发展, runingTitle=null, highlight=null, articleAbstract=围绕国内外致臭物质的识别方法，论述国内外相关研究的概况，并指出现有研究存在的不足之处。结果表明：目前致臭物质识别方法较为单一，气味活度值法是当前致臭物质筛选的常规方法，但实际应用发现，筛选结果具有一定偏差；气相色谱-嗅觉测定法在技术上较为先进，实现了化学浓度和感官评价同时分析，但存在分析时间长、对嗅辨员要求较高等问题。据此，为更好的解决关键致臭物质识别难题，构建我国异味污染关键致臭物质识别技术方法体系，建议从以下4个方面开展研究：（1）建立完善的异味物质检测方法体系，解决异味物质检测难的问题；（2）完善我国异味物质嗅阈值数据库，解决嗅阈值缺失及数值不统一问题；（3）开展异味物质间相互作用研究，解决致臭机理不明问题，为致臭物质的识别提供理论支撑；（4）建立多种方法联用识别技术方法，解决单一识别方法支撑力不足问题。, authors=翟增秀^1,2,3, 王亘^1,2, 李伟芳^1,2, 孟洁^1,2,3, 鲁富蕾^1,2,3, authorsList=翟增秀, 王亘, 李伟芳, 孟洁, 鲁富蕾, authorCompany=1. 天津市生态环境科学研究院, 天津 300191;
2. 国家环境保护恶臭污染控制重点实验室, 天津 300191;
3. 天津迪兰奥特环保科技开发有限公司, 天津 300191, correspAuthors=null, authorNote=翟增秀,高级工程师,研究方向为异味物质检测、感官表征方法及异味污染成因,电子信箱:zhaizengxiu1983@sina.com, correspAuthorsNote=李伟芳(通信作者),正高级工程师,研究方向为异味污染形成机理、危害评估及感官表征方法,电子信箱:liweifang@taes.org, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=vqILal/ko8rPo6bX23njOA==, pdfFileSize=657343, 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=国家重点研发计划项目（2016YFC0700606-003）；国家自然科学基金项目（21577096）)}, authors=null, keywords=[Keyword(id=1242139725935485179, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242139725125984505, language=CN, orderNo=1, keyword=异味污染), Keyword(id=1242139725998399740, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242139725125984505, language=CN, 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