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Comparison of sensory evaluation techniques for Hungarian wines

机译:匈牙利葡萄酒感官评价技术的比较

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Abstract >The aim of this study was to compare different Hungarian Kadarka, Kékfrankos, and Cabernet franc wines produced and aged by the same methods and to compare two types of sensory analysis methods as well: the 100‐point OIV system and quantitative descriptive analysis (QDA). Both tests were conducted by 12 assessors of the University of Pécs, Institute for Regional Development, Faculty of Horticulture and Oenology. This study provides conclusions about the use of sensory analysis methods, highlighting the advantages and disadvantages of QDA and the OIV system. Principal component analysis, analysis of variance (ANOVA), multiple factor analysis, and partial least squares dicriminant analysis were used for the evaluation of the data. Our results showed that the sensory panel was able to discriminate the samples by both sensory methods; however, the information provided by them was significantly different. ANOVA clearly showed that the two methods have different sensitivity when comparing wines (commercial and produced wine samples) and QDA proved to be the more sensitive, as well as more detailed, method. Partial least squares discriminant analysis augmented the findings in the classification part of the different type of wine samples. In general, OIV is able to show the general quality of the wines, while QDA coupled with proper chemometric methods is able to describe why the given samples received good or bad OIV scores. </abstract> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译:</span><Abstract Type =“Main”XML:Lang =“en”> <标题类型=“main”>抽象</ title> 本研究的目的是通过相同的方法比较不同的匈牙利卡达卡,Kékfrankos和赤霞珠和赤霞珠葡萄酒,并比较两种类型的感官分析方法:100点OIV系统和定量描述性分析(QDA)。这两项测试都是由汉堡大学的12位评估员进行的,园艺和酿酒学院区域发展研究所。本研究提供了关于使用感官分析方法的结论,突出了QDA和OIV系统的优缺点。主要成分分析,方差分析(ANOVA),多因素分析和部分最小二乘因子DICIMINANT分析用于评估数据。我们的结果表明,感官面板能够通过感官方法区分样品;但是,它们提供的信息显着不同。 ANOVA清楚地表明,在比较葡萄酒(商业和生产的葡萄酒样本)和QDA被证明是更敏感的和更详细的方法时,这两种方法具有不同的敏感性。局部最小二乘判别分析增强了不同类型葡萄酒样本的分类部分中的结果。一般而言,OIV能够显示葡萄酒的一般质量,而QDA与适当的化学计量方法耦合,能够描述给定的样本为什么收到良好或不良的OIV分数。</ p> </摘要> </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" >著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-33917/'>《Journal of Chemometrics》</a> <b style="margin: 0 2px;">|</b><span>2020年第4期</span><b style="margin: 0 2px;">|</b><span>共15页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li > <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span><a href="https://www.zhangqiaokeyan.com/clc/159.html" title="化学">化学;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=ANOVA&option=203" rel="nofollow">ANOVA;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=PLS‐DA&option=203" rel="nofollow">PLS‐DA;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=sensometrics&option=203" rel="nofollow">sensometrics;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=sensory analysis&option=203" rel="nofollow">sensory analysis;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=wine&option=203" rel="nofollow">wine;</a> </p> <div class="translation"> 机译:ANOVA;PLS-DA;ensometrics;感官分析;葡萄酒; </div> </li> </ul> </div> </div> <div class="literature cardcommon"> <div class="similarity "> <h3 class="all_title" id="enpatent66">相似文献</h3> <div class="similaritytab clearfix"> <ul> <li class="active" >外文文献</li> <li >中文文献</li> <li >专利</li> </ul> </div> <div class="similarity_details"> <ul > <li> <div> <b>1. </b><a class="enjiyixqcontent" href="/journal-foreign-detail/0704025425569.html">Comparison of sensory evaluation techniques for Hungarian wines</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor"> </a> <a href="/journal-foreign-33917/" target="_blank" rel="nofollow" class="tuijian_authcolor">Journal of Chemometrics .</a> <span>2020</span><span>,第4期</span> </span> </div> <p class="zwjiyix translation" style="max-width: initial;height: auto;word-break: break-all;white-space: initial;text-overflow: initial;overflow: initial;"> <span>机译:匈牙利葡萄酒感官评价技术的比较</span> </p> </li> <li> <div> <b>2. </b><a class="enjiyixqcontent" href="/academic-journal-foreign_detail_thesis/0204113887660.html">Comparison between sensory evaluation and SPME GC-MS in Brazilian's sparkling wines</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=E. 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