Differentiation Between Origins of Extra Virgin Olive Oils by GC-C-IRMS Using Principal Component Analysis, Linear Discriminant Analysis, and Hierarchical Cluster Analysis

Andreas Baum; Yao Lu; Zeland Muccio; Glen P. Jackson; Peter B. Harrington

首页> 外文期刊>Spectroscopy >Differentiation Between Origins of Extra Virgin Olive Oils by GC-C-IRMS Using Principal Component Analysis, Linear Discriminant Analysis, and Hierarchical Cluster Analysis

【24h】

Differentiation Between Origins of Extra Virgin Olive Oils by GC-C-IRMS Using Principal Component Analysis, Linear Discriminant Analysis, and Hierarchical Cluster Analysis

机译：使用主成分分析，线性判别分析和层次聚类分析通过GC-C-IRMS区分特级初榨橄榄油的来源

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Validation of international food products has become increasingly important due to the proliferation of food products shipped globally. This study classified extra virgin olive oils from Portugal and Turkey using gas chromatography-combustion-isotope ratio mass spectrometry (GC-C-IRMS) to evaluate the isotope ratios of the fatty acid methyl esters (FAMEs) extracted from the oils. Linear discriminant analysis (LDA) and hierarchical clustering analysis (HCA) were applied to the carbon isotopic results to determine the geographic origin of the oils. Results showed that the isotope ratios of the individual FAMEs were statistically different, and that modeling the individual FAMEs enabled the differentiation of the oils by geographic region.

机译：由于全球运送的食品激增，国际食品的验证变得越来越重要。这项研究使用气相色谱-燃烧-同位素比质谱（GC-C-IRMS）对葡萄牙和土耳其的特级初榨橄榄油进行了分类，以评估从橄榄油中提取的脂肪酸甲酯的同位素比。将线性判别分析（LDA）和层次聚类分析（HCA）应用于碳同位素结果，以确定油的地理来源。结果表明，单个FAME的同位素比在统计上是不同的，并且对单个FAME进行建模可以使石油按地理区域区分。

著录项

来源
《Spectroscopy》 |2010年第2期|共7页
作者
Andreas Baum; Yao Lu; Zeland Muccio; Glen P. Jackson; Peter B. Harrington;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类计量学;
关键词

相似文献

外文文献
中文文献
专利

1. Differentiation Between Origins of Extra Virgin Olive Oils by GC-C-IRMS Using Principal Component Analysis, Linear Discriminant Analysis, and Hierarchical Cluster Analysis [J] . Andreas Baum, Yao Lu, Zeland Muccio, Spectroscopy . 2010,第2期

机译：使用主成分分析，线性判别分析和层次聚类分析通过GC-C-IRMS区分特级初榨橄榄油的来源
2. HPLC fingerprints combined with principal component analysis, hierarchical cluster analysis and linear discriminant analysis for the classification and differentiation of Peganum sp. indigenous to China [J] . Cheng Xue-mei, Zhao Ting, Yang Tao, Phytochemical Analysis . 2010,第3期

机译：HPLC指纹图谱与主成分分析，层次聚类分析和线性判别分析相结合，用于对Peganum sp。进行分类和区分。中国原住民
3. Classification of olive oils using high throughput flow ~1H NMR fingerprinting with principal component analysis,linear discriminant analysis and probabilistic neural networks [J] . Karoly Heberger, Fabiano Reniero, Claude Guillou, Analytica chimica acta . 2005,第1a2期

机译：使用高通量〜1H NMR指纹图谱对橄榄油进行分类，并进行主成分分析，线性判别分析和概率神经网络
4. Comparative analysis of quality parameters of Italian extra virgin olive oils according to their region of origin [C] . Anna Grazia Mignani, Pilar Beatriz Garcia-Allende, Leonardo Ciaccheri, Conference on Optical Sensors . 2008

机译：根据其产地对意大利特级初榨橄榄油的质量参数进行比较分析
5. Analysis of sensory and non-sensory factors mitigating consumer behavior: A case study with extra virgin olive oil. [D] . Santosa, Metta. 2010

机译：缓解消费者行为的感官和非感官因素分析：特级初榨橄榄油的案例研究。
6. Lipid Profiling and Stable Isotopic Data Analysis for Differentiation of Extra Virgin Olive Oils Based on Their Origin [O] . Igor Lukić, Alessio Da Ros, Graziano Guella, 2020

机译：基于来源的脂分析和稳定同位素数据分析用于特级初榨橄榄油的区分
7. Figure 3: Divergence of the microbiome between the forest and grassland soils as revealed by (A) hierarchical cluster analysis and (B) discriminant analysis of principal components (DAPC). [O] . -1

机译：图3：（a）分层聚类分析和（b）主成分（DAPC）的判别分析，森林和草原土壤之间微生物组的分歧。
8. Effect of Additional Variables in Principal Component Analysis, Discriminant Analysis and Canonical Correlation Analysis [R] . Fujikoshi, Y., Krishnaiah, P. R., Schmidhammer, J. 1985

机译：附加变量在主成分分析，判别分析和典型相关分析中的作用

Differentiation Between Origins of Extra Virgin Olive Oils by GC-C-IRMS Using Principal Component Analysis, Linear Discriminant Analysis, and Hierarchical Cluster Analysis

摘要

著录项

相似文献

相关主题

期刊订阅