Comprehensive Comparison of Two Color Varieties of Perillae Folium by GC-MS-Based Metabolomic Approach
Perillae Folium (PF), the leaf of <i>Perilla frutescens</i> (L.) Britt, is extensively used as culinary vegetable in many countries. It can be divided into two major varietal forms based on leaf color variation, including purple PF (<i>Perilla frutescens</i> var. <i>arg...
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MDPI AG
2022-10-01
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author | Jiabao Chen Dan Zhang Qian Wang Aitong Yang Yuguang Zheng Lei Wang |
author_facet | Jiabao Chen Dan Zhang Qian Wang Aitong Yang Yuguang Zheng Lei Wang |
author_sort | Jiabao Chen |
collection | DOAJ |
description | Perillae Folium (PF), the leaf of <i>Perilla frutescens</i> (L.) Britt, is extensively used as culinary vegetable in many countries. It can be divided into two major varietal forms based on leaf color variation, including purple PF (<i>Perilla frutescens</i> var. <i>arguta</i>) and green PF (<i>P. frutescens</i> var. <i>frutescens</i>). The aroma of purple and green PF is discrepant. To figure out the divergence of chemical composition in purple and green PF, gas chromatography–tandem mass spectrometry (GC-MS) was applied to analyze compounds in purple and green PF. A total of 54 compounds were identified and relatively quantified. Multivariate statistical methods, including principal component analysis (PCA), orthogonal partial least-squares discrimination analysis (OPLS-DA) and clustering analysis (CA), were used to screen the chemical markers for discrimination of purple and green PF. Seven compounds that accumulated discrepantly in green and purple PF were characterized as chemical markers for the discrimination of the purple and green PF. Among these 7 marker compounds, limonene, shisool and perillaldehyde that from the same branch of the terpenoid biosynthetic pathway were with relatively higher contents in purple PF, while perilla ketone, isoegomaketone, tocopheryl and squalene on other branch pathways were higher in green PF. The results of the present study are expected to provide theoretical support for the development and utilization of PF resources. |
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spelling | doaj.art-1833a8263c9d4373be36084c7b7b14c72023-11-24T01:31:06ZengMDPI AGMolecules1420-30492022-10-012720679210.3390/molecules27206792Comprehensive Comparison of Two Color Varieties of Perillae Folium by GC-MS-Based Metabolomic ApproachJiabao Chen0Dan Zhang1Qian Wang2Aitong Yang3Yuguang Zheng4Lei Wang5Traditional Chinese Medicine Processing Technology Innovation Center of Hebei Province, College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang 050200, ChinaTraditional Chinese Medicine Processing Technology Innovation Center of Hebei Province, College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang 050200, ChinaTraditional Chinese Medicine Processing Technology Innovation Center of Hebei Province, College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang 050200, ChinaTraditional Chinese Medicine Processing Technology Innovation Center of Hebei Province, College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang 050200, ChinaTraditional Chinese Medicine Processing Technology Innovation Center of Hebei Province, College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang 050200, ChinaTraditional Chinese Medicine Processing Technology Innovation Center of Hebei Province, College of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang 050200, ChinaPerillae Folium (PF), the leaf of <i>Perilla frutescens</i> (L.) Britt, is extensively used as culinary vegetable in many countries. It can be divided into two major varietal forms based on leaf color variation, including purple PF (<i>Perilla frutescens</i> var. <i>arguta</i>) and green PF (<i>P. frutescens</i> var. <i>frutescens</i>). The aroma of purple and green PF is discrepant. To figure out the divergence of chemical composition in purple and green PF, gas chromatography–tandem mass spectrometry (GC-MS) was applied to analyze compounds in purple and green PF. A total of 54 compounds were identified and relatively quantified. Multivariate statistical methods, including principal component analysis (PCA), orthogonal partial least-squares discrimination analysis (OPLS-DA) and clustering analysis (CA), were used to screen the chemical markers for discrimination of purple and green PF. Seven compounds that accumulated discrepantly in green and purple PF were characterized as chemical markers for the discrimination of the purple and green PF. Among these 7 marker compounds, limonene, shisool and perillaldehyde that from the same branch of the terpenoid biosynthetic pathway were with relatively higher contents in purple PF, while perilla ketone, isoegomaketone, tocopheryl and squalene on other branch pathways were higher in green PF. The results of the present study are expected to provide theoretical support for the development and utilization of PF resources.https://www.mdpi.com/1420-3049/27/20/6792perilla leafchemical compositionGC-MSmultivariate statistical analysisbiosynthetic pathway |
spellingShingle | Jiabao Chen Dan Zhang Qian Wang Aitong Yang Yuguang Zheng Lei Wang Comprehensive Comparison of Two Color Varieties of Perillae Folium by GC-MS-Based Metabolomic Approach Molecules perilla leaf chemical composition GC-MS multivariate statistical analysis biosynthetic pathway |
title | Comprehensive Comparison of Two Color Varieties of Perillae Folium by GC-MS-Based Metabolomic Approach |
title_full | Comprehensive Comparison of Two Color Varieties of Perillae Folium by GC-MS-Based Metabolomic Approach |
title_fullStr | Comprehensive Comparison of Two Color Varieties of Perillae Folium by GC-MS-Based Metabolomic Approach |
title_full_unstemmed | Comprehensive Comparison of Two Color Varieties of Perillae Folium by GC-MS-Based Metabolomic Approach |
title_short | Comprehensive Comparison of Two Color Varieties of Perillae Folium by GC-MS-Based Metabolomic Approach |
title_sort | comprehensive comparison of two color varieties of perillae folium by gc ms based metabolomic approach |
topic | perilla leaf chemical composition GC-MS multivariate statistical analysis biosynthetic pathway |
url | https://www.mdpi.com/1420-3049/27/20/6792 |
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